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◈ Homepage — https://mlml.sjsu.edu/Moss Landing Marine Laboratories Skip to content About Academics Research Give to MLML My MLML “The mission of MLML is to provision the marine scientists of the future.  This means that undergraduate and graduate students are provided with unparalleled access to faculty advisors and teachers, research facilities, and an incredible local marine environment.  Our primary goal is to provide students with the necessary skills and training to succeed in academia, governmental agencies, conservation, and management to serve societal needs involving marine issues." News & Press Coverage New Publication from MLML’s Dr. Amanda Kahn April 27, 2026 A new review article examining the current state of deep-sea research in the Northeast Pacific has been published in Progress in Oceanography. This work was developed by the Northeast Pacific … Dr. Nathan Spindel publication in Ecological Applications March 24, 2026 A new study led by MLML Postdoctoral Researcher Nathan Spindel was recently published in Ecological Applications. His research focuses on red sea urchins, and many MLML graduate students are currently … New Funding Supports Dustin Carroll’s Modeling of Marine Carbon Dioxide Removal March 19, 2026 Dustin Carroll, a researcher here at MLML who leads the Ocean Modeling Lab and an affiliated scientist with San José State University, is leading new research on marine carbon dioxide … Events & Presentations Ava Besecker’s Thesis Defense – May 14th at 2PM (PST) Ava Besecker will be defending her thesis entitled, "Resilience in restoration: Investigating the thermal tolerance of Galápagos corals during El Niño". Thursday, May 14th at 2:00 PM (PST). The defense … Roxanne Garibay’s Thesis Defense: May 7th Roxanne Garibay's thesis defense, " Depth-dependent effects of disturbance on reproductive output and growth of giant kelp (Macrocystis pyrifera)",  May 7th at 3:00 pm. The defense will take place in-person … Jason Gonsalves’s Thesis Defense: April 30th from 9:00 am – 10:00 am Jason Gonsalves's thesis defense on "ENSO-Induced Oceanographic Anomalies and Their Potential Impacts on Coral Species in the Phoenix Islands Protected Area" is Thursday, April 30th, 2026 from 9 - 10am PDT. The … ✦    News     |     Events     |     Seminars     |     Defenses    ✦ General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Copyright ©2024 SJSU - Moss Landing Marine Laboratories. All Rights Reserved. ◈ Interior Pages — 10 pages crawledApplying to MLML – MLML Master's Program MLML Master's Program M.S. in Marine Science at Moss Landing Marine Laboratories Skip to content MENU MENU About Classes Applying to MLML Taking a Class at MLML FAQs Contact Applying to MLML Applying to MLML Master's Program APPLICATION DEADLINE MLML accepts applications to the M.S. Program from October 1 through February 1 each year. Once we've received your application, we'll accept your supplemental application documents (transcripts, letters of rec, etc.) through February 15. View Application Timeline STEP 1: CHOOSING & CONTACTING A FACULTY ADVISOR Before applying to MLML, all prospective students must select a faculty advisor(s) through whom to apply. Prospective students should contact a potential faculty advisor(s) before submitting application materials. Discussing your interest in MLML with a potential faculty advisor prior to applying will 1) provide you with a better understanding of what our program has to offer 2) help you determine if the selected faculty advisor is the right academic mentor for you 3) enable you to speak with the potential advisor about the application process 4) allow you to speak with current students and 5) strengthen your application and improve your chances of acceptance. Applicants can choose to apply through an MLML Tenure/Tenure Track Faculty Advisor (found at the link below), and should contact that potential Faculty Advisor before submitting any application materials. Find MLML Faculty Advisors Here Applicants can also choose to apply through a MLML Research Faculty Co-Advisor—researchers who are in residence at MLML who can co-advise student theses and serve on student thesis committees. However, applicants who wish to apply through one of these MLML Research Faculty members must be co-advised by, and must also apply for admission through, one of the MLML Faculty Advisors above. Find MLML Research Faculty Co-Advisors Here Applicants can also choose to apply through affiliated CSU Faculty Advisors—faculty members who are in residence at one of our affiliated CSU campuses. Find CSU Faculty Advisors Here STEP 2: CHOOSING A CSU CAMPUS All prospective students must apply to both MLML and an affiliated California State University (CSU) campus to serve as their administrative home campus. Degree requirements and the academic program are the same for all MLML students regardless of CSU home campus; administrative deadlines and processes (related to enrollment, payment, financial aid, graduation, etc.) do vary slightly by CSU campus, however, as do tuition and fees. All MLML students register for classes, pay tuition/fees, and receive financial aid through their home CSU campus, which also awards the official diploma/degree and transcripts. All MLML classes and academic programs are held at MLML’s main lab facility in Moss Landing, CA. Applicants to MLML should choose their CSU home campus based upon the faculty advisor to whom they are applying—applicants applying to MLML Faculty Advisors need to apply to SJSU as their CSU home campus, while applicants applying to CSUMB Faculty Advisors need to apply to CSUMB as their CSU home campus. STEP 3: SUBMIT ALL APPLICATION MATERIALS BY DEADLINES FEBRUARY 1 • Online MLML application to MLML • Online CalStateApply application to your CSU campus FEBUARY 15 • Additional application materials emailed to MLML's Graduate Program Coordinator • Additional application materials mailed to your CSU campus Find Full Step-By-Step Application Instructions Here NOTIFICATION Applicants can expect to receive an admission decision from MLML by about April 15. Students accepted by MLML should receive official CSU admission notification from the CSU campus to which they applied soon thereafter. Acceptance is not official until acceptance notifications from both MLML and the CSU campus are received. General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Marine Operations – Moss Landing Marine Laboratories Marine Operations Moss Landing Marine Laboratories Skip to content MENU MENU Home Our Crew Our Vessels Research Vessels R/V John H. Martin R/V Sheila B. R/V Tombolo Small Boats Blue Whaler Navy Whaler White Whaler Small Zodiac Large Zodiac MLML RHIB Motors Two-Stroke 15hp Outboard Motor Four-Stroke 15hp Outboard Motor Four-Stroke 20hp Outboard Motor Plan a Cruise Reserve a Vessel   Schedules & Request Forms   Cruise Forms   Rates Vessel Specifications Scientific Equipment Dive Program Small Boat Training Contact Us Contact Us Contact Information Our Location Travel Information Resources & Links Gallery MLML Links MLML Links Class Schedule Gmail (MLML) Library Populi Research Diving Student Blog Facebook Shop MLML Front Page MLML Marine Operations At Marine Operations we strive to fulfill MLML’s mission of “empowering future and current marine science leaders by offering students and researchers unparalleled access to the education, tools, environment and community necessary to understand marine and coastal processes-creating new understanding and solutions in a changing world.” To request one of our research vessels or small boats, please click here to fill out the appropriate reservation request form. Marine Operations Cruise Forms Schedules & Request Forms Dive Program Search the Marine OPs website Search for: Contact Marine Operations Phone: (831) 771-4130 Fax: (831) 633-4580 General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. MLML Master's Program – M.S. in Marine Science at Moss Landing Marine Laboratories MLML Master's Program M.S. in Marine Science at Moss Landing Marine Laboratories Skip to content MENU MENU About Classes Applying to MLML Taking a Class at MLML FAQs Contact Front Page MISSION We provide students with a cutting-edge marine science education that emphasizes mentoring and teaching integrated with independent research. Through our curriculum and research-based graduate program, we prepare students for careers in science, education and outreach, conservation, policy and management, as well as the pursuit of doctoral degrees related to the marine sciences. The great wealth of nearby marine resources, the faculty emphasis on mentoring and teaching integrated with research, and the excellent facilities, staff, and marine operations contribute to make this one of the best M.S. in Marine Science programs in the United States. Learn More General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Dr. Nathan Spindel publication in Ecological Applications – Moss Landing Marine Laboratories Moss Landing Marine Laboratories Skip to content MENU MENU About About Us Director's Message About MLML History of MLML Research Overview Employment Affiliations DEI Code of Conduct Contact Us Future Plans Points of Pride Annual Reports People Faculty Research Faculty Research Affiliates Advisory Council Faculty Emeritus Faculty Adjunct Faculty Staff Directory Events Open House 2026! Thesis Defenses Seminars SJSU Events News Press Coverage Video Library Blogs Academics Master's Program Apply Now! Overview Choosing an Advisor Choosing a Campus Taking a Class at MLML Fees and Tuition Scholarships   Faculty Labs Biological Oceanography Computational Oceanography Chemical Oceanography Geological Oceanography Ichthyology Invertebrate Ecology Phycology Physical Oceanography Vertebrate Ecology Resources Student Life Research Library Information Technology Schedule of Classes Course Catalog Museum DEI Research Faculty and Labs Sarah Smith - Biological Oceanography Maxime Grand - Chemical Oceanography Mike Wood - Computational Oceanography Ivano Aiello - Geological Oceanography Tom Connolly - Physical Oceanography Scott Hamilton - Ichthyology Amanda Kahn - Invertebrate Ecology Katie Lage - MLML/MBARI Research Library Michael Graham - Phycology Birgitte McDonald - Vertebrate Ecology Affiliated Labs Central Coast Wetlands Group Environmental Biotechnology Fisheries and Conservation Biology Invertebrate Zoology MOBY MPSL-DFW MPSL-MLML Pacific Shark Research Center Research Diving Seagrant Subseafloor Lab Ocean Modeling Lab Resources Marine Operations Scientific Diving Public Data Portal Instrumentation Environmental Analytical Lab Projects Estuary Battery Fire Research Give to MLML Overview Priorities Scholarships Ways to Give Donate Now! Ways to Support MLML Open House Crowdfunding My MLML Dr. Nathan Spindel publication in Ecological Applications March 24, 2026 March 24, 2026 Lauren Bayne A new study led by MLML Postdoctoral Researcher Nathan Spindel was recently published in Ecological Applications . His research focuses on red sea urchins, and many MLML graduate students are currently working with him on related projects! Nate is especially grateful to Moss Landing Marine Laboratories and San José State University for covering the open-access publication charges, which allowed the article to be made freely available. The paper, titled “Consumer resilience suppresses the recovery of overgrazed ecosystems,” can be read here: https://doi.org/10.1002/eap.70196 . A brief overview of the paper: A new study led by Nathan (Nate) Spindel, published in Ecological Applications, shows that red sea urchins can endure prolonged food scarcity by lowering their metabolic demands and then rapidly resume grazing and reproduction when food becomes available. Using field observations and controlled experiments, the study found that both food quantity and quality strongly influence urchin performance. Urchins collected from adjacent kelp forests and food poor urchin barrens exhibited reciprocal physiological and dietary shifts when subjected to kelp, mixed algae, or starvation treatments. Metabolically depressed barren urchins recovered when re-fed, while kelp forest urchins depressed their metabolism under starvation. Feeding trials also validated the use of fatty acid biomarkers to reconstruct diet composition, revealing parallel reciprocal changes in assimilated nutrients. Barren urchins incorporated kelp derived fatty acids when fed algal diets, while starved kelp forest urchins increasingly assimilated biofilm biomarkers associated with bacteria and diatoms. By calibrating fatty acid biomarkers against known diets, the study provides a stronger framework for estimating wild diet composition and tracing how shifts in primary production reshape the nutritional seascape, offering a practical tool for evaluating habitat quality and guiding kelp forest restoration and management decisions." Read the full paper here! News , Uncategorized Post navigation ← Seminar presented by Dr. William Oestreich Seminar presented by Karin Forney and Scott Benson → General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Copyright ©2024 SJSU - Moss Landing Marine Laboratories. All Rights Reserved. Fisheries and Conservation Biology Lab – Fishing for conservation solutions Fisheries and Conservation Biology Lab Fishing for conservation solutions Skip to content MENU MENU Home Lab Personnel Dr. Rick Starr Current Students Research Technicians Past Lab Personnel Research Current Projects Video Surveys of Continental Shelf Fishes Benthic Observation Survey System (BOSS) Shallow Water Mini-Lander Deep Water Rotating Lander California Collaborative Fisheries Research Program (CCFRP) Monitoring Marine Protected Areas (MPAs) Past Projects Spatial Conservation Movement Studies Submersible Surveys Photo Galleries Program Partners Prospective Students Publications Student Theses Contact Us Welcome to the FCB lab! Fisheries and Conservation Biology Lab The Fisheries and Conservation Biology Lab is led by Dr. Rick Starr – a research faculty member of Moss Landing Marine Laboratories (MLML). Dr. Starr and FCB students study the biology and ecology of fished species. We study aspects of the life history of fishery species such as age and growth, reproduction, feeding, habitat uses, and movement ecology. We are especially involved with collaborative fisheries research, monitoring marine protected areas, and using camera systems to survey continental shelf and slope fishes. Current FCB Lab projects include: Conducting biological research on nearshore species to help promote the wise use, conservation, and management of valuable fishery resources Using new collaborative approaches and stereo-video techniques to survey deeper water fishes Working with scientists, fishermen and non-governmental organizations to design and evaluate marine protected areas (MPAs) in California Contact Us Fisheries & Conservation Biology Lab 8272 Moss Landing Road Moss Landing, CA 95039 p:(831) 771-4479 f: (831) 632-4403 e: [email protected] Check out our Youtube channel for lab presentations/talks and highlight reels of our research! General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Chemical Oceanography – Welcome to the Chemical Oceanography Lab! Chemical Oceanography Welcome to the Chemical Oceanography Lab! Skip to content MENU MENU Home Research Current Research Overview : Why Study Trace Metal and Nutrient Cycling in the Ocean? Miniaturized Autonomous Chemical Analyzers   Current Graduate Student Thesis Projects: Biochar & Wastewater Phosphate Removal pFIONA (Programmable Flow Injection Ocean Nutrient Analyzer) Past Research Seaweed Aquaculture & Bromomethane Emissions Moana-Maty: Iron and the Marquesas Island Mass Effect People Our Lab Teaching Prospective Students News Resources Publications Contact Home/About WELCOME TO THE CHEMICAL OCEANOGRAPHY LAB Our research group broadly focuses on the biogeochemical cycling of nutrients and trace metals in the marine environment. We study the sources, sinks and cycling of these important chemical elements, which collectively drive oceanic primary productivity. Under this line of work, we seek to improve the spatial and temporal resolution of chemical measurements in the ocean through the development of novel autonomous microfluidic chemical analyzers. We also study the environmental benefits and impacts of seaweed aquaculture and collaborate with other research groups at MLML to quantify the nutrient removal capacity of various passive nutrient removal technologies.   General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Computational Oceanography – Using models and remote measurements to understand changes in our ocean Computational Oceanography Using models and remote measurements to understand changes in our ocean Skip to content Home People Prospective Students Press and Outreach Computational Oceanography Home Welcome to the Computational Oceanography Lab! The Computational Oceanography Lab was formed in 2023 as a new addition to the Moss Landing Marine Laboratories – how CoOL is that?! Here in the CoOL group, we use numerical ocean models, remote sensing observations, and in situ measurements to study the ocean and how it interacts with other components of the Earth System, such as the cryosphere and the biosphere. We are interested in a wide variety of different processes and locations in the global ocean. Numerical Ocean Modeling Numerical ocean models use physical equations of motion to simulate circulation and heat transport. The CoOL group primarily uses the MIT General Circulation Model (MITgcm) for our simulations as well as MITgcm-derived ocean state estimates provided by the Estimating the Circulation and Climate of the Ocean (ECCO) consortium. Sea Surface Temperature on December 22, 2015 estimated by the ECCOv5 solution Remote Sensing Observations Remote sensing observations refer to measurements of the ocean from satellite or aircraft. Remote sensing observations use electromagnetic radiation such light from the sun, radio waves emitted by satellites, or even green-light lasers to infer information about processes in the ocean. There are a wide range of variables which can be observed from space including temperature, salinity, chlorophyll concentration, wind speed and direction, sea surface height, shallow water bathymetry and much more. Together, these observations enable us to learn about the entire ocean over years or even decades. Chlorophyll-a concentration estimated in 2015 estimated by the MODIS Sensor on NASA’s Aqua Satellite In Situ Measurements Measurements taken in situ – that is, real instruments taking measurements in the ocean – provide invaluable ground-truths for numerical models and satellite observations. Without real measurements, we have no way to know that our models and satellites are giving us reliable information – particularly in regions where measurements have historically been difficult to obtain. An ARGO float deployed in a Greenlandic fjord. The “egg beater” top protects the instrument and antenna from damage by icebergs. Search for: Proudly powered by WordPress | Theme: Radiate Pro by ThemeGrill . Luke Gardner – Moss Landing Marine Laboratories Moss Landing Marine Laboratories Skip to content MENU MENU About About Us Director's Message About MLML History of MLML Research Overview Employment Affiliations DEI Code of Conduct Contact Us Future Plans Points of Pride Annual Reports People Faculty Research Faculty Research Affiliates Advisory Council Faculty Emeritus Faculty Adjunct Faculty Staff Directory Events Open House 2026! Thesis Defenses Seminars SJSU Events News Press Coverage Video Library Blogs Academics Master's Program Apply Now! Overview Choosing an Advisor Choosing a Campus Taking a Class at MLML Fees and Tuition Scholarships   Faculty Labs Biological Oceanography Computational Oceanography Chemical Oceanography Geological Oceanography Ichthyology Invertebrate Ecology Phycology Physical Oceanography Vertebrate Ecology Resources Student Life Research Library Information Technology Schedule of Classes Course Catalog Museum DEI Research Faculty and Labs Sarah Smith - Biological Oceanography Maxime Grand - Chemical Oceanography Mike Wood - Computational Oceanography Ivano Aiello - Geological Oceanography Tom Connolly - Physical Oceanography Scott Hamilton - Ichthyology Amanda Kahn - Invertebrate Ecology Katie Lage - MLML/MBARI Research Library Michael Graham - Phycology Birgitte McDonald - Vertebrate Ecology Affiliated Labs Central Coast Wetlands Group Environmental Biotechnology Fisheries and Conservation Biology Invertebrate Zoology MOBY MPSL-DFW MPSL-MLML Pacific Shark Research Center Research Diving Seagrant Subseafloor Lab Ocean Modeling Lab Resources Marine Operations Scientific Diving Public Data Portal Instrumentation Environmental Analytical Lab Projects Estuary Battery Fire Research Give to MLML Overview Priorities Scholarships Ways to Give Donate Now! Ways to Support MLML Open House Crowdfunding My MLML Luke Gardner Luke Gardner Research Faculty and CA Sea Grant Aquaculture Specialist Department: Aquaculture Center Websites: https://mlml.sjsu.edu/aquaculture/ https://caseagrant.ucsd.edu/ Contact: email: [email protected] phone: (831) 771-4429 office: 401b MLML Main Lab Biography: My research interests broadly involve the development of sustainable aquaculture. Specifically, I’m interested in working with industry to apply advanced and emerging technologies to help solve issues limiting aquaculture growth. I have primarily used biotechnology to study physiological systems in marine organisms including reproduction, biomineralization, toxicology and nutrition. Current research interests include using high-throughput sequencing and bio-informatics to develop biomarkers for valuable traits in cultured aquatic organisms. I’m also involved in researching alternative fish-free feeds for the aquaculture sector. Research Interests: Aquaculture Nutrition Genomics Physiology Curriculum Vitae: Luke Gardner CV 2018 (PDF) Selected Publications: Gardner, Luke . "Temporal Tracking of Mineralization and Transcriptional Events Associated with Shell Formation During the Early Life History of Pearl Oyster Pinctada maxima." 2016. Current Biotechnology 4. Lauren M. Sassoubre, Kevan M. Yamahara, Luke Gardner , Barbara Block, Alexandria B. Boehm. Quantification of Environmental DNA (eDNA) Shedding and Decay Rates for Three Marine Fish. Environmental Science and Technology. 2016, 50 (19), pp 10456–10464. Klinger, Dane H., Jonathan J. Dale, Adrian C. Gleiss, Tyler Brandt, Ethan E. Estess, Luke Gardner , Benjamin Machado et al. "The effect of temperature on postprandial metabolism of yellowfin tuna (Thunnus albacares)." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology (2016). Madigan, D. J., Carlisle, A. B., Gardner, L. D ., Jayasundara, N., Micheli, F., Schaefer, K. M., & Block, B. A. (2015). Assessing niche width of endothermic fish from genes to ecosystem. Proceedings of the National Academy of Sciences, 112(27), 8350-8355. John P. Incardonaa, Luke D. Gardner , Tiffany L. Linbo, Tanya L. Brown, Andrew J. Esbaugh, Edward M. Mager, John D. Stieglitz, Barbara L. French, Jana S. Labenia, Cathy A. Laetz, Mark Tagal, Catherine A. Sloan, Abigail Elizur, Daniel D. Benetti, Martin Grosell, Barbara A. Block, Nathaniel L. Scholz. 2014. Deepwater Horizon crude oil impacts the developing hearts of large predatory pelagic fish. PNAS: 111: E1510-E1518. Jayasundara N, Gardner L , Block, B. 2013. Effects of Temperature Acclimation on Pacific Bluefin Tuna (Thunnus orientalis) Cardiac Transcriptome. American Journal of Physiology 305: R1010-R1020. Incardona JP, Swarts TL, Edmunds RC, Linbo TL, Aquilina-Beck A, Sloan CA, Gardner LD , Block BA, Scholz NL. 2013. Exxon Valdez to Deepwater Horizon: comparable toxicity of both crude oils to fish early life stages. Aquat Toxicol 142-143: 303-316. Gardner L , Jayasundara N, Castilho P, Block, B. 2012. Microarray gene expression profiles from mature gonad tissues of Atlantic Bluefin Tuna, Thunnus Thynnus in the Gulf of Mexico. BMC Genomics 13: 530. Gardner L , Mills D, Wiegand A, Leavesley D, Elizur A. 2011. Spatial analysis of biomineralization associated gene expression from the mantle organ of the pearl oyster Pinctada maxima. BMC Genomics 12: 455. Aquaculture Center General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Copyright ©2024 SJSU - Moss Landing Marine Laboratories. All Rights Reserved. Mike Wood – Moss Landing Marine Laboratories Moss Landing Marine Laboratories Skip to content MENU MENU About About Us Director's Message About MLML History of MLML Research Overview Employment Affiliations DEI Code of Conduct Contact Us Future Plans Points of Pride Annual Reports People Faculty Research Faculty Research Affiliates Advisory Council Faculty Emeritus Faculty Adjunct Faculty Staff Directory Events Open House 2026! Thesis Defenses Seminars SJSU Events News Press Coverage Video Library Blogs Academics Master's Program Apply Now! Overview Choosing an Advisor Choosing a Campus Taking a Class at MLML Fees and Tuition Scholarships   Faculty Labs Biological Oceanography Computational Oceanography Chemical Oceanography Geological Oceanography Ichthyology Invertebrate Ecology Phycology Physical Oceanography Vertebrate Ecology Resources Student Life Research Library Information Technology Schedule of Classes Course Catalog Museum DEI Research Faculty and Labs Sarah Smith - Biological Oceanography Maxime Grand - Chemical Oceanography Mike Wood - Computational Oceanography Ivano Aiello - Geological Oceanography Tom Connolly - Physical Oceanography Scott Hamilton - Ichthyology Amanda Kahn - Invertebrate Ecology Katie Lage - MLML/MBARI Research Library Michael Graham - Phycology Birgitte McDonald - Vertebrate Ecology Affiliated Labs Central Coast Wetlands Group Environmental Biotechnology Fisheries and Conservation Biology Invertebrate Zoology MOBY MPSL-DFW MPSL-MLML Pacific Shark Research Center Research Diving Seagrant Subseafloor Lab Ocean Modeling Lab Resources Marine Operations Scientific Diving Public Data Portal Instrumentation Environmental Analytical Lab Projects Estuary Battery Fire Research Give to MLML Overview Priorities Scholarships Ways to Give Donate Now! Ways to Support MLML Open House Crowdfunding My MLML Mike Wood Mike Wood Faculty Member Department: Computational Oceanography Website: https://mlml.sjsu.edu/compoce / Contact: email: [email protected] Links: Google Scholar ORCID: 0000-0003-3074-7845 Biography: Mike is an assistant professor at MLML, starting in January 2023. He is the principal investigator a Computational Oceanography lab at MLML and holds a joint appointment with the SJSU Department of Computer Science. Mike is interested in any topic that uses satellites observations, numerical ocean models, and/or in situ measurements to further our understanding of the ocean and its role in climate change. His main research activities are currently focused on ice-ocean-biology interactions and sea level rise from the Greenland ice sheet. Being a California kid, Mike enjoys surfing and climbing when he can get a break from prepping classes or debugging code. Selected Publications: Ocean forcing drives glacier retreat in Greenland Decadal Evolution of Ice-Ocean Interactions at a Large East Greenland Glacier Resolved at Fjord Scale With Downscaled Ocean Models and Observations Greenland Subglacial Discharge as a Driver of Hotspots of Increasing Coastal Chlorophyll Since the Early 2000s Rapid disintegration and weakening of ice shelves in North Greenland Ice dynamics will remain a primary driver of Greenland ice sheet mass loss over the next century Forty-six years of Greenland Ice Sheet mass balance from 1972 to 2018 General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general public. Copyright ©2024 SJSU - Moss Landing Marine Laboratories. All Rights Reserved. FAQs – MLML Master's Program MLML Master's Program M.S. in Marine Science at Moss Landing Marine Laboratories Skip to content MENU MENU About Classes Applying to MLML Taking a Class at MLML FAQs Contact FAQs Frequently Asked Questions What degrees does MLML offer? MLML offers a Master's of Science (M.S.) degree in marine science.   What University is MLML affiliated with? MLML serves as the marine science M.S. program for San Jose State University and CSU Monterey Bay. Every student in the MLML program must officially enroll (and apply for admission) through one of these campuses. Of our current students , about 50% are enrolled through CSU Monterey Bay as their "home campus ," and about 50% through San José State University. MLML students register for classes, pay tuition/fees, and receive financial aid through this “home campus,” and this campus also awards the official diploma and transcripts. All classes and academic programs are held at MLML’s main facility in Moss Landing.   How does the application process work? All applicants must submit one online application to MLML by Feb. 1, and one online application to their chosen CSU campus by Feb. 1. All applicants must then submit supporting documents to MLML by Feb. 15, and supporting documents to their chosen CSU by Feb. 15. More information can be found here .   Who can serve as a Faculty Advisor? Although there are more than 30 Ph.D.-level researchers at MLML that can help advise students regarding their thesis topic, only the Tenure-Track Faculty can serve as your faculty advisor. So you need to make sure you contact the Tenure-Track Faculty member that fits your interests so you can seek their support and commitment. Other MLML researchers ( Consortium Faculty , Research Faculty , Research Affiliates , and Adjunct Faculty ) serve as valuable resources with expertise in additional disciplines and can serve as co-advisors.   How much will it cost to finance my education at MLML, and what funding is available? Tuition and fees vary by campus. The current cost of attendance for the campuses currently accepting applications for the MLML program can be found at the following links: Students are strongly encouraged to secure independent financial support during the duration of their time at MLML. MLML can provide limited financial support in the form of some graduate assistantships (GAs), as well as some internal grants and scholarships. It is the responsibility of the student to contact his/her faculty advisor(s) about GA positions and other potential funding sources. Additionally, each CSU campus may offer campus-specific funding opportunities. It is the responsibility of the student to contact their home campus Financial Aid office, and to complete an annual FAFSA (Free Application for Federal Student Aid) as needed. Many of our students work during their graduate school education and would be happy to provide insight into managing work and school responsibilities at the same time. If you area prospective student interested in getting in touch with current students, please contact MLML's Graduate Program Coordinator .   What internal MLML scholarships are available? Each spring, MLML awards many competitive scholarships to our Master's students, in recognition of academic merit, community service, and outreach. Many of these scholarships were established in honor of former faculty and staff, and are made possible by alumni, the Student Body, the Quilt Guild, visitors to our annual public Open House, and other generous members of the MLML community. Typically, MLML scholarships are announced to our current student body after Fall semester, with applications due early in spring semester, awards announced in April, and winners celebrated during the final week of spring semester at our annual MLML Scholarship reception. Only currently-enrolled MLML M.S. students are eligible to apply. More information can be found here .   Can I enroll as a part-time student? Students should plan to be enrolled full-time for the duration of their tenure, though some students enroll half-time while completing the thesis.   Can I transfer courses taken at another institution? Once in the program students may transfer up to 6 units of coursework completed at another institution. Courses taken to fulfill the requirements of another degree are not eligible for transfer credit, but can be used to waive a required course.   Where can I find classes available at MLML? For all classes offered at MLML, view the Course Catalog . For classes offered this semester, view the Class Schedule .   Is there a place online where my professor has posted a list of books/materials I will need for my class? This information is typically listed in the course syllabus. When enrolled, you can check to see if the professor has uploaded the syllabus on Populi → Courses (bottom right corner).   Does MLML have a minimum GPA or GRE score required for admission? MLML has no GPA or GRE minimums, but admitted students generally have a GPA of 3.2 or greater and GRE scores in the upper 30th percentile. CSU campuses generally set a minimum GPA for admission, and all MLML applicants must meet CSU minimums for admission. MLML does not require applicants to take the GRE, but a good score on either the GRE general test or a relevant GRE subject test can improve an applicant's chances for admission. As such, MLML strongly recommends that prospective students take the GRE before applying.   How will my application be evaluated? MLML evaluates applications holistically, taking into account past academic performance, relevant professional experience, and the applicant’s likelihood of success within our interdisciplinary program. The field of marine science is highly competitive, as is acceptance into the MLML M.S. program. Students accepted into the program typically have a well-rounded background in science and math in general and the marine sciences in particular, and research experience. Applicants should email the potential MLML faculty advisor(s) to whom they are considering applying for more specific guidance.   Do you offer tours for prospective students? At this time, MLML does not offer organized tours for prospective students, but we encourage you to contact a member of the MLML faculty directly to schedule an individual tour of the lab and to discuss the graduate program.   Where do students live? Is student housing available? Most of our students live within a 30-minute commute of the lab—in Santa Cruz, Prunedale, Salinas, Marina, Seaside, and Monterey.   How many students are accepted each year? MLML’s M.S. program is highly competitive. While there is no set maximum or minimum of students accepted each year, MLML generally accepts around 15 new students each year. This number varies from year to year depending on individual faculty advisors, current research projects underway in their labs, and the number or students they are currently looking to accept into their labs. For the last few years, our acceptance rate has been about 25% of applicants.   Does MLML offer a scientific diving program? Yes. Scientific diving has been an integral part of MLML since the labs opened in 1965. For more information, check out the dive program website.   What is campus life like at MLML? MLML prides itself on its sense of community and the cohesion of students, faculty, and staff. The campus is the foundation of this community, and you will often find students and faculty working together in one of several meeting and study rooms. In addition, the student body has created a yearly tradition of planning community events including: Halloween party, lab-wide bowling and bonfires, and the annual public Open House.     General Contact [email protected] (831) 771-4400 8272 Moss Landing Road Moss Landing, CA 95039 Hours of operation Currently not open to the general
◈ Crawled Pages — Provenance Chain
https://mlml.sjsu.edu/http://mlml.sjsu.edu/http://mlml.sjsu.edu/compoce/http://mlml.sjsu.edu/marineops/https://mlml.sjsu.edu/#contenthttps://mlml.sjsu.edu/2026/03/19/new-funding-supports-dustin-carrolls-modeling-of-marine-carbon-dioxide-removal/https://mlml.sjsu.edu/2026/03/24/dr-nathan-spindel-publication-in-ecological-applications/https://mlml.sjsu.edu/2026/04/16/jason-gonsalvess-thesis-defense-april-30th-from-900-am-1000-am/https://mlml.sjsu.edu/2026/04/27/new-publication-in-sciencedirect-from-mlmls-dr-amanda-kahn/https://mlml.sjsu.edu/2026/05/07/roxanne-garibays-thesis-defense-may-7th/https://mlml.sjsu.edu/2026/05/11/ava-beseckers-thesis-defense-may-14th-at-2pm-pst/https://mlml.sjsu.edu/?p=17232https://mlml.sjsu.edu/?p=18997https://mlml.sjsu.edu/?p=8174https://mlml.sjsu.edu/about-us/https://mlml.sjsu.edu/annual-reports/https://mlml.sjsu.edu/biooce/https://mlml.sjsu.edu/birdmam/https://mlml.sjsu.edu/blogs/https://mlml.sjsu.edu/category/events/https://mlml.sjsu.edu/ccwg/https://mlml.sjsu.edu/chemoce/https://mlml.sjsu.edu/chemoce/biochar-phosphate-removal/https://mlml.sjsu.edu/chemoce/contact/https://mlml.sjsu.edu/chemoce/feed/https://mlml.sjsu.edu/chemoce/miniaturized-autonomous-chemical-analyzers/https://mlml.sjsu.edu/chemoce/moana-maty-iron-and-the-marquesas-island-mass-effect/https://mlml.sjsu.edu/chemoce/news-2/https://mlml.sjsu.edu/chemoce/news/https://mlml.sjsu.edu/chemoce/overview/https://mlml.sjsu.edu/chemoce/peoplehttps://mlml.sjsu.edu/chemoce/pfiona/https://mlml.sjsu.edu/chemoce/prospective-students/https://mlml.sjsu.edu/chemoce/publications/https://mlml.sjsu.edu/chemoce/resources/https://mlml.sjsu.edu/chemoce/seaweed-bromoform/https://mlml.sjsu.edu/chemoce/the-lab/https://mlml.sjsu.edu/chemoce/why-study-trace-metal-and-nutrient-cycling/https://mlml.sjsu.edu/chemoce/wp-json/https://mlml.sjsu.edu/chemoce/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fmlml.sjsu.edu%2Fchemoce%2Fhttps://mlml.sjsu.edu/chemoce/wp-json/wp/v2/pages/261+159 more
Law I — Provenance · Law III — Reverse Ontology · source: https://mlml.sjsu.edu/ Visit Source ↗
Root-LD — Traveling Context Pod v1.0 · gdr-2df3bb5d · three layers
1
Graph Edges
5,404
Tokens Measured
0.3647
Type-Token Ratio
0
Schema Blocks
0%
Schema Coverage
Root-LD is the traveling context pod for this entity — permanent, provenance-grounded. The head <script> block is machine-readable. This section shows the same data to humans. We show the work in both spaces.
Layer 1 — Anchor · Immutable after mint. UUID, federation_id, content hash, timestamps. A new crawl appends to recursive — the anchor is never touched. Law I — Provenance.
rld:anchor — gdr-2df3bb5d
{
  "uuid": "2df3bb5d-dcc7-4a92-8f3b-d9a67c0a6201",
  "federation_id": "gdr-2df3bb5d",
  "sequence": 0,
  "content_hash": "731ad6603f93bba5f80285a5bbf9dffe364ed4a0082d0e055138b2ce3d85ff25",
  "primary_source": "https://mlml.sjsu.edu/",
  "source_verified": true,
  "generation_method": "crawl_extract_v1",
  "spec_version": "1.0",
  "queued_at": "2026-05-15T21:16:46.716825+00:00",
  "minted_at": "2026-05-16T19:32:50.380739+00:00"
}
Layer 2 — Body · Complete measurement snapshot frozen at mint. Identity, SEO, schema graph, six-layer topology fingerprint, ratio signals, navigation. Law II — Temporal Attestation.
rld:body — mlml.sjsu.edu
{
  "domain": "mlml.sjsu.edu",
  "canonical_url": "https://mlml.sjsu.edu/",
  "tld": "edu",
  "slug": "mlml-sjsu-edu",
  "status_code": 200,
  "redirect_chain": [],
  "response_time_ms": 2460,
  "ssl_valid": true,
  "server_header": "Apache",
  "title": "Moss Landing Marine Laboratories",
  "h1": "Moss Landing Marine Laboratories",
  "meta_description": "",
  "lang_declared": "en-US",
  "schema_types": [],
  "schema_score": 0.0,
  "schema_prop_count": 0,
  "schema_gap_list": [],
  "top_semantic_words": [
    "mlml",
    "research",
    "faculty",
    "marine",
    "moss",
    "landing",
    "students",
    "oceanography",
    "lab",
    "program",
    "ocean",
    "campus",
    "sjsu",
    "general",
    "csu",
    "laboratories",
    "application",
    "student",
    "advisor",
    "currently",
    "current",
    "science",
    "apply",
    "chemical",
    "conservation",
    "public",
    "classes",
    "applicants",
    "ecology",
    "gardner",
    "study",
    "thesis",
    "applying",
    "computational",
    "master",
    "labs",
    "road",
    "information",
    "resources",
    "overview"
  ],
  "ratio_signals": {
    "schema_density": 0.0,
    "nav_ratio": 0.3,
    "content_to_structure_ratio": 0.036899,
    "external_tld_diversity": 2,
    "self_declaration_coherence": 1.0,
    "schema_to_navigation_alignment": 0.0,
    "javascript_surface_ratio": 0.0,
    "url_depth_distribution": {
      "depth_0": 6,
      "depth_1": 62,
      "depth_2": 96,
      "depth_3plus": 36
    }
  },
  "semantic_html_ratio": 0.0,
  "javascript_surface_ratio": 0.0,
  "img_alt_coverage": 0.0,
  "robots_complexity_score": 0,
  "ariadne_blocked": false,
  "security_label": "MODERATE",
  "https_enforced": true,
  "freshness_label": "CURRENT",
  "tld_starjet_url": "https://globaldataregistry.com/registry/tld/ledger/edu",
  "schema_starjet_urls": [],
  "native_text_sample": "Moss Landing Marine Laboratories\nSkip to content\nAbout\nAcademics\nResearch\nGive to MLML\nMy MLML\n“The mission of MLML is to provision the marine scientists of the future.  This means that undergraduate and graduate students are provided with unparalleled access to faculty advisors and teachers, research facilities, and an incredible local marine environment.  Our primary goal is to provide students with the necessary skills and training to succeed in academia, governmental agencies, conservation, ",
  "topology_fingerprint_version": "1.0.0"
}
Layer 3 — Recursive · Empty at mint. Grows forever through accumulated corpus passes. Common edges (Law V), uncommon edges (Law VI), topology cluster scores. The graph builds itself. Law VII — Torus.
rld:recursive — edge_count=0
{
  "edges": [],
  "appended_at": [],
  "edge_count": 0
}
Root-LD v1.0 · root-ld.org · Law I+II+VII root-ld.org ↗
Schema.org Intelligence scored · graph traversal · Law VI negative space
1% coverage · 0 types · 0 props · 0 gaps · click to expand
1%
Schema Utilization Score
NO SCHEMA DETECTED — INVISIBLE TO AI
schema.org v2.0.0 · 0 props extracted · 0 gaps · https://mlml.sjsu.edu/
No schema types declared
◈ Schema Graph — Three-Direction Traversal
Declared: None
✓ Implemented
No properties extracted.
✗ Not Implemented / Gap
namegap
openingHoursgap
hasOfferCataloggap
slogangap
urlgap
knowsAboutgap
numberOfEmployeesgap
logogap
descriptiongap
aggregateRatinggap
contactPointgap
priceRangegap
sameAsgap
areaServedgap
legalNamegap
alternateNamegap
emailgap
keywordsgap
addressgap
imagegap
identifiergap
foundingDategap
geogap
telephonegap
No ancestor types — root level.
No sibling types found.
No child types — leaf node.
◈ Structural Negative Type Space — Constitutional Law VI
◈ Action Branch

No structural connection to the Action branch. Graph position measurement. schema.org/Action ↗ · Law III — meaning is yours.

◈ BioChemEntity Branch

No structural connection to the BioChemEntity branch. Graph position measurement. schema.org/BioChemEntity ↗ · Law III — meaning is yours.

◈ CreativeWork Branch

No structural connection to the CreativeWork branch. Graph position measurement. schema.org/CreativeWork ↗ · Law III — meaning is yours.

◈ Event Branch

No structural connection to the Event branch. Graph position measurement. schema.org/Event ↗ · Law III — meaning is yours.

◈ Intangible Branch

No structural connection to the Intangible branch. Graph position measurement. schema.org/Intangible ↗ · Law III — meaning is yours.

◈ MedicalEntity Branch

No structural connection to the MedicalEntity branch. Graph position measurement. schema.org/MedicalEntity ↗ · Law III — meaning is yours.

◈ Organization Branch

No structural connection to the Organization branch. Graph position measurement. schema.org/Organization ↗ · Law III — meaning is yours.

◈ Person Branch

No structural connection to the Person branch. Graph position measurement. schema.org/Person ↗ · Law III — meaning is yours.

◈ Place Branch

No structural connection to the Place branch. Graph position measurement. schema.org/Place ↗ · Law III — meaning is yours.

◈ Product Branch

No structural connection to the Product branch. Graph position measurement. schema.org/Product ↗ · Law III — meaning is yours.

◈ Taxon Branch

No structural connection to the Taxon branch. Graph position measurement. schema.org/Taxon ↗ · Law III — meaning is yours.

◈ Gap List (0 properties unmapped)
◈ Source Schema.org — Raw Extraction (0 blocks)
⚠ NO JSON-LD MARKUP DETECTED
No structured data found at https://mlml.sjsu.edu/. This entity is invisible to AI systems that reason from structured data.
schema.org v2.0.0 · source: https://mlml.sjsu.edu/ schema.org/Thing ↗
Semantic Words 40 words · frequency ranked · Law III
40 words · top 5: mlml · research · faculty · marine · moss · click to expand
Top 40 words by frequency from https://mlml.sjsu.edu/ + 10 interior pages (5,022 words total). Stop-words stripped. Ranked by repetition.
#1mlml136x · 3.99%
#2research63x · 1.85%
#3faculty58x · 1.7%
#4marine56x · 1.64%
#5moss44x · 1.29%
#6landing44x · 1.29%
#7students43x · 1.26%
#8oceanography43x · 1.26%
#9lab32x · 0.94%
#10program31x · 0.91%
#11ocean26x · 0.76%
#12campus26x · 0.76%
#13sjsu24x · 0.7%
#14general23x · 0.68%
#15csu23x · 0.68%
#16laboratories20x · 0.59%
#17application19x · 0.56%
#18student18x · 0.53%
#19advisor17x · 0.5%
#20currently16x · 0.47%
#21current15x · 0.44%
#22science15x · 0.44%
#23apply15x · 0.44%
#24chemical15x · 0.44%
#25conservation14x · 0.41%
#26public14x · 0.41%
#27classes14x · 0.41%
#28applicants14x · 0.41%
#29ecology14x · 0.41%
#30gardner14x · 0.41%
#31study13x · 0.38%
#32thesis13x · 0.38%
#33applying13x · 0.38%
#34computational13x · 0.38%
#35master12x · 0.35%
#36labs12x · 0.35%
#37road11x · 0.32%
#38information11x · 0.32%
#39resources11x · 0.32%
#40overview11x · 0.32%
Law III — frequency measured, meaning is the reader's · source: https://mlml.sjsu.edu/
Text Topology Fingerprint v1.0.0 · long · 37,061 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: eb1a43ab2a609f2795113849e06d7ff0...
◈ Signal Matrix
0.365
TTR
0.237
HAPAX
0.763
REP
0.405
BIGRAM
0.649
H2T
0.359
CPRT
3.008
SKEW
12.046
KURT
0.865
C/P
1.908
PENT
0.600
S1P
0.002
NASC
TTR=type-token ratio · HAPAX=hapax ratio · REP=repetition score · BIGRAM=bigram repetition · H2T=hapax-to-type · CPRT=capital token ratio · SKEW=sentence skewness · KURT=sentence kurtosis · C/P=comma-period ratio · PENT=punct entropy · S1P=single-sent para ratio · NASC=non-ASCII ratio
◈ Topology Position
Latin dominant · moderate lexical diversity · mixed register · moderate clause complexity · moderate topic focus · strong uncommon edge signal
◈ Six Measurement Layers
Layer 1 — Character
0.0021
Non-ASCII Ratio
0.0 = Latin-dominant · 1.0 = fully non-Latin script
Layer 1 — Character
3.3333
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (3095x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.3647
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.2367
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.6489
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
0.8645
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.9076
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
217
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
3.0079
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.6000
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.7633
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
28%
4-6
32%
7-10
32%
11-15
8%
16-20
0%
21+
0%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.540.98
Window=50 tokens · Step=25 · 215 data points
topology_fingerprint.py v1.0.0 · sha256: eb1a43ab2a609f27... · Law III + Law VI
Ratio Signals 8 deterministic measurements · the gap is the signal
Eight deterministic measurements. Law I: every value traces to its source stage.
schema density
0.0000
Schema props extracted / top semantic words.
nav ratio
0.3000
Nav URLs / total internal URLs.
content to structure ratio
0.0369
Total words / raw HTML bytes. Content density.
external tld diversity
2
Unique TLD count in outbound links.
self declaration coherence
1.0000
Fuzzy overlap across title / H1 / meta / schema name.
schema to nav alignment
0.0000
Schema type tokens vs nav link text overlap.
javascript surface ratio
0.0000
Fraction of interior pages JS-gated.
URL Depth Distribution
depth_0: 6 · depth_1: 62 · depth_2: 96 · depth_3plus: 36
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.MODERATE · FreshnessLabel.CURRENT
Sitemap: ✗Robots.txt: ✗Schema.org: ✗Open Graph: ✗Canonical: ✓HTTPS: ✓HSTS: ✗CSP: ✗
Security
SecurityLabel.MODERATE
Freshness
FreshnessLabel.CURRENT
Server
Apache
cmsWordPress
web_serverApache
analytics['Google Tag Manager']
Ledger Appends 1 ledgers · graph edge traversal · Law V+VII
Every ledger this entity appends to. Follow any link to see every other entity in the registry that shares that TLD or schema type. Law VII — Torus. The corridor never ends.
TLD LEDGER
.edu
https://globaldataregistry.com/registry/tld/ledger/edu ↗
Law V — Common Edge · Law VII — Torus · 1 ledger appends
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-16
mlml.sjsu.edu · gdr-2df3bb5d
mlml.sjsu.edu is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
View the Registry →
A gift from the Global Data Registry

When the Global Data Registry crawled https://mlml.sjsu.edu/, we found no structured data — the language AI systems use to understand and describe a business online.

Schema is how ChatGPT, Google, Claude, Gemini, and Perplexity know what your business does and how to describe you accurately to your customers. Without it, AI systems are guessing.

The most important field in this block is sameAs — a verified edge connecting your website to your permanent record at the Global Data Registry. This is a free, confirmed link to a real verified source. It costs nothing and gives your website a confirmed node in the graph that AI systems traverse when building answers about your business.

Copy the block below and paste it into the <head> of your website. Or drop it into ChatGPT, Claude, or Gemini and ask it to extend it with your full business details — that is the fastest path to a complete schema record.

▶   What is schema?

Schema is a standard vocabulary maintained at schema.org that lets websites describe themselves in a language machines can read. When you add schema to your website, you are telling AI systems, search engines, and knowledge graphs exactly what your business is and how it connects to the rest of the web.

Google structured data guide ↗  ·  schema.org ↗  ·  Standard Terminal schema reference ↗

schema.org · verified by Global Data Registry · https://globaldataregistry.com/entity/mlml-sjsu-edu
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebSite",
      "@id": "https://mlml.sjsu.edu/#website",
      "url": "https://mlml.sjsu.edu/",
      "name": "mlml.sjsu.edu — Moss Landing Marine Laboratories",
      "sameAs": "https://globaldataregistry.com/entity/mlml-sjsu-edu"
    },
    {
      "@type": "WebPage",
      "@id": "https://mlml.sjsu.edu/#webpage",
      "url": "https://mlml.sjsu.edu/",
      "name": "mlml.sjsu.edu — Moss Landing Marine Laboratories",
      "isPartOf": {
        "@id": "https://mlml.sjsu.edu/#website"
      },
      "keywords": "mlml.sjsu.edu — Moss Landing Marine Laboratories"
    }
  ]
}
◈ Verified source: https://mlml.sjsu.edu/ · GDR record: https://globaldataregistry.com/entity/mlml-sjsu-edu · Issued by globaldataregistry.com
Claim your profile at Standard Terminal → View your GDR record ↗

The Global Data Registry is on a mission to give every business and website owner a fair chance at discovery in the AI era of the internet. This schema block is free. No account required. No strings. The sameAs edge is a verified, permanent link — your website's first confirmed node in the machine-readable web.