http://lod.bco-dmo.org/id/dataset/1003120 eng; USA utf8 dataset Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 2026-07-28 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Species surveys at defined tides on the exposed rocky shores of Tatoosh Island, Makah Reservation, Washington 2014-2017 2026-07-29 publication 2026-07-29 revision BCO-DMO Linked Data URI 2026-07-29 creation http://lod.bco-dmo.org/id/dataset/1003120 Timothy Wootton University of Chicago principalInvestigator Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. publisher Cite this dataset as: Wootton, T., Miranda, K. (2026) Species surveys at defined tides on the exposed rocky shores of Tatoosh Island, Makah Reservation, Washington 2014-2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-07-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/1003120 [access date] Tide Height Variability Quadrats Dataset Description: Methods and Sampling: &lt;p&gt;Samples were taken at four sites of relatively uniform rock bench of at least 30 meters (m) in length at Tatoosh Island, Makah Reservation, Washington, USA, known by investigators as: East Strawberry (48.39144N, -124.73839W), The Finger (48.39387N, -124.73841), The Glacier (48.39145N, -124.74098), and Simon's Landing (48.39121N, -124.73271W). Sampling occurred on days with low spring tides to sample the broadest stretch of shoreline exposed at low tide. At each site, once per year, we set a Dewalt rotating, self-leveling laser level on a tripod just above the upper limit of the barnacle zone, set the laser detector to a specified level on the transit and moved along the shore from south to north choosing 10 spots along the bench at the selected transit height spaced as evenly as possible along the entire rock bench while avoiding topographic irregularities such as tide pools or large cracks in the rock bench. This sampling pattern resulted in 10 general sampling bands extending down each rock bench. Within each band, sampling points were selected by moving the transit to a point in the band at a generally appropriate height as assessed by moving the transit upward or angling it sideways until the laser detector on the transit beeped, then slowly moving the base of the transit up or down the shore while holding the transit vertical until the laser beam was detected. At each point, a 50 x 50 centimeter (cm) quadrat, divided into 121 sub-squares defined with monofilament cross lines to aid in estimating percent cover was centered on the identified sample point and oriented to be perpendicular to the slope of the rock, and was photographed from below (seaward side at the bottom), with the quadrat frame spanning nearly the entire vertical (short) frame of the photograph to maximize detail. Upon completion of sampling at one tide height, the detector on the transit would be moved by the selected vertical tidal sampling increment, usually 0.2 m but occasionally 0.1 m at some sites/years, and the process was repeated until the lowest point that could be reached at low tide was surveyed. Sampling was initiated 3-3.5 hours before predicted low tide to follow the tide out to its lowest level.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851489 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851489 Funding provided by NSF Division of Environmental Biology (NSF DEB) Award Number: DEB-1556874 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1556874 onGoing Timothy Wootton University of Chicago 773-202-2773 Dept. of Ecology and Evolution 1101 East 57th St. Chicago IL 60637 USA twootton@uchicago.edu pointOfContact asNeeded Dataset Version: 1 Unknown Site Sample_Date Transit Marker Tide_Height Quadrat_number Upper_Lower_Half Bare_Rock Hedophyllum_sessile Alaria_marginata Laminaria_setchellii Costaria_costata PostePostelsia_palmaeformislsia_palmeaformis Fucus_gardneri Egregia_menziesii Lessoniopsis_littoralis Leathesia_difformis Nereocystis_luetkeana Pelvetiopsis_limitata Crustose_Coralline_Algae Articulated_Coralline_Algae Crustose_Red_Algae Foliose_Red_Algae Filamentous_Red_Algae Halosaccion_glandiforme Callithamnion_pikeanum Mastocarpus_papillatus Endocladia_muricata Porphyra_spp Mazzaella_cornucopiae Ulva_spp Acrosiphonia_coalita Phyllospadix_spp Allopora_californica Colonial_Hydroid Anthopleura_xanthogrammica Anthopleura_elegantissima Clathria_spp Halichondria_bowerbanki Halichondria_panicea Haliclona_cinerea Serpula_columbiana Aplidium_californicum Mytilus_californianus Mytilus_trossulus Pollicipes_polymerus Balanus_nubilus Semibalanus_cariosus Balanus_glandula Chthamalus_dalli Inidentified_Barnacles Others SSWD_Zonation_Change_Data Site_Latitude Site_Longitude Panasonic Lumix DMC FZ1000 digital camera Dewalt DW074KD self-leveling rotary laser level theme None, User defined site date height site description count sample description latitude longitude featureType BCO-DMO Standard Parameters Camera Levels and staffs instrument BCO-DMO Standard Instruments otherRestrictions otherRestrictions Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use. Long Term Research in Environmental Biology https://www.nsf.gov/funding/opportunities/ltreb-long-term-research-environmental-biology Long Term Research in Environmental Biology Long Term Research in Environmental Biology (LTREB) Supports research for a period of 10 years or longer to generate an extended time series of data with a focus on evolutionary biology, ecology and ecosystem science. Synopsis The Long Term Research in Environmental Biology (LTREB) Program supports the generation of extended time series of data to address important questions in evolutionary biology, ecology, and ecosystem science. Research areas include, but are not limited to, the effects of natural selection or other evolutionary processes on populations, communities, or ecosystems; the effects of interspecific interactions that vary over time and space; population or community dynamics for organisms that have extended life spans and long turnover times; feedbacks between ecological and evolutionary processes; pools of materials such as nutrients in soils that turn over at intermediate to longer time scales; and external forcing functions such as climatic cycles that operate over long return intervals. LTREB largerWorkCitation program Eco-Evolutionary Response to the Scale of Temporal Environmental Fluctuation https://osprey.bco-dmo.org/project/810268 Eco-Evolutionary Response to the Scale of Temporal Environmental Fluctuation <p><em>NSF Award Abstract:</em><br /> Cyclical variations in environmental conditions, like tides or seasons, comprise a common theme in nature. Living organisms must cope with repetitive arrivals of unfavorable conditions for survival. Therefore species around the world are under evolutionary pressure to schedule their "life cycles" or "life histories" to fit the environmental cycle regimes within which they reside. Recent climate change has shifted historical cyclical patterns in many ecosystems, such as season length, resulting in mismatches between life histories and the ideal environmental conditions of plants and animals, to the detriment of population persistence and ecological stability. Adaptive evolution offers a mechanism that may buffer these mismatches. Accumulating evidence of shifts in life history schedules from around the world shows us that much remains to be done to understand how life histories are "fit" to environmental cycles, and to changes in cycles, despite their everyday familiarity. Testing theoretical ideas with data and experiments is essential. Marine coastal habitats are subject to conspicuous cycles occurring at multiple time scales, such as diel, tidal, lunar, seasonal, and multi-annual fluctuations. Populations of the intertidal crustacean Tigriopus californicus occupy rocky shore across the entire eastern Pacific coastline in upper tidepools that are periodically wave-swept at high tide at varying intervals. This project develops mathematical models to uncover fundamental rules of life history variation and adaptation in regularly varying environments, and tests hypotheses across Tigriopus californicus populations experiencing varying tidal disturbances using efficient and highly replicated field collections and manipulative experiments in the lab. Beyond producing broadly applicable theory and abundant open-access data, the investigators engage with local Makah Tribe students near field sites for sampling and natural history studies to enhance STEM education in an underserved rural community. Furthermore, the project expands the nation's scientific capacity by training undergraduate and graduate students in experimental design, theoretical modelling in population ecology and life history evolution, and data analysis.</p> <p>How natural populations persist in variable environments has been a long-standing question in ecology and evolution. In particular, cyclical variability is common in nature, and many species show predictable life history strategies that follow cycles in nature (e.g. phenology). However, a general conceptual framework is lacking for how adaptation to cycles occurs and how the scaling of life histories to fluctuations buffers changes in the environment. Marine environments fluctuate predictably across a range of temporal scales, such as tidal and seasonal, and provide unique opportunities to study population persistence and evolution in cyclical environments. A general mathematical framework is developed that explores life history optimization in the context of cyclically varying environments. The marine intertidal copepod Tigriopus californcus is ideal for testing model predictions and motivating extensions. Many isolated populations can be sampled entirely in the field, and the short timescale of tide cycles, short generation times, and ease of frequent sampling will provide a dense dataset of eco-evolutionary patterns in response to natural disturbance regimes. Pilot studies have established experimental populations in the laboratory, and have proven that Tigriopus californcus is amenable to careful manipulations of simulated disturbance frequency (both cyclical and stochastic) that seamlessly translate to the model framework. The combination of modelling, field parameterization, and experimental investigation of life histories in cyclical and stochastic environments is a novel and holistic approach to the question of life history diversity within an environment. Finally, a general understanding of evolutionary mechanisms in cyclical environments can improve predictions of the fate of populations when natural cycles are perturbed, which is expected across many ecosystems due to climate change.</p> <p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p> Eco Evolutionary Response largerWorkCitation project LTREB: Ecological Dynamics in an Experimentally-Tractable Natural Ecosystems https://osprey.bco-dmo.org/project/873564 LTREB: Ecological Dynamics in an Experimentally-Tractable Natural Ecosystems <p><em>NSF Award Abstract for DEB-</em>0919420:</p> <p>This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).</p> <p>A core challenge for ecologists is to develop frameworks to predict how complex natural communities and ecosystems will respond to environmental impacts such as species extinction and global change. Because ecological interactions are comprised of complex networks, meeting this challenge requires an integration of mathematical frameworks with empirical data. In this project, the investigator will extend several long-term multi-species data sets for marine rocky intertidal organisms and environmental conditions, and use these data to estimate species interaction strengths in dynamic, multi-species models. These results will then be used to test for general patterns of interaction strength and to generate predictions for different potential environmental impacts. Long-term species manipulation experiments in this intertidal habitat will be used to validate predictions generated by multi-species models.</p> <p>Results of this study will significantly enhance the ability to address an urgent societal need - the prediction of natural ecosystem responses to global change, including climate change. In the process, the study will increase collaboration and data sharing among university researchers and governmental management agencies (Tribal and NOAA National Marine Sanctuary staff), provide advanced training for Ph. D. students, and facilitate research experience for undergraduate in ecological science. Data associated with the project will be publicly available through the University of Chicago, the Knowledge Network for Biocomplexity, and through the Ecological Society of America's Ecological Archives.</p> <p><em>NSF Award Abstract for Continuing Award DEB-</em>1556874:</p> <p>A central goal for ecology is to document if and how the environment is changing, to determine the causes of these changes, and to predict what the consequences of these changes will be to ecological systems. This is a challenge because of the complex network of connections among the living organisms and the non-living parts of ecosystems. Mathematical models are essential tools to keep track of these ecological interactions and to predict how they will respond to environmental changes. However, models need to be linked to data from nature. Two major challenges in developing predictive models of environmental change are 1) collecting sufficient data on how interactions among a complete set of species and environmental factors change over time, and (2) rigorously testing model predictions with experiments. This study will combine a quarter-century long series of data on 100+ species and relevant environmental variables in the rocky shoreline of Tatoosh Island in Washington state, with a long-term field experiment that mimics the extinction of a key species, the California mussel. The long term data will be applied to several different modeling approaches and predictions from these models will subsequently be tested with the long-term field experiment. The research will identify the most promising modeling approaches for making ecological prediction, and make them available to ecosystem managers and policy makers interested in the consequences of environmental impacts such as species extinction and global change. The comprehensive data series also will be made available to other scientists to be used as a platform for additional studies. This project will also engage undergraduate students in field research, data management, mathematical modeling, and in communicating with the public, managers, and policy makers. Furthermore, because the challenge of understanding networks of species interactions is shared with other scientific disciplines that deal with complex networks, project results will be of general value in other disciplines.</p> <p>The researcher will conduct annual surveys of replicated permanent plots for plants and animals on the shoreline in two ways: 1) by documenting the species identities under 2,600 fixed points over a 5-year period and generating annual transition probabilities among species, and 2) by generating abundance estimates in permanent 60 x 60 cm census plots. Fifteen experimental plots will be maintained by selectively removing individuals of Mytilus californianus when they appear, leaving all other species undisturbed. Environmental data will be collected every 30 minutes using a submersible data logger and a land-based weather station. Water chemistry, including critical nutrients, will be monitored. These data will be analyzed in several ways, including 1) parameterizing transition-based models (Markov chain models, spatially-explicit cellular automata) with environmental dependencies, 2) parameterizing multi-species population dynamic models from plot counts, 3) applying multi-spatial cross-convergent mapping and testing whether it accurately detects key species known to have strong causal effects from independent experiments, 4) applying neural network models and testing their predictions about the consequences of species extinction, and 5) testing whether there is a relationship between the variability of a species' abundance through time and its importance to the ecosystem as assessed by independent experiments. The community modeling projects enabled by the rich long term data sets have a strong potential to advance our understanding of mechanisms underlying community dynamics and their response to environmental change.</p> LTREB Ecological Dynamics largerWorkCitation project eng; USA oceans -124.7409806 -124.7327056 48.39120556 48.39386944 2014-07-10 2017-07-25 From projects that focused on the following 2 locations: 1. Salish Sea, Washington, USA 2. Tatoosh Island, Washington, United States of America 0 BCO-DMO catalogue of parameters from Species surveys at defined tides on the exposed rocky shores of Tatoosh Island, Makah Reservation, Washington 2014-2017 Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact http://lod.bco-dmo.org/id/dataset-parameter/1003132.rdf Name: Site Units: Name used by Tatoosh Island investigators Description: <p>General location of sampling on Tatoosh Island</p> http://lod.bco-dmo.org/id/dataset-parameter/1003133.rdf Name: Sample_Date Units: unitless Description: <p>Date of Survey</p> http://lod.bco-dmo.org/id/dataset-parameter/1003134.rdf Name: Transit Units: meters Description: <p>Height on transit of laser detector at the sample point</p> http://lod.bco-dmo.org/id/dataset-parameter/1003135.rdf Name: Marker Units: meters Description: <p>Measured height of reference marker during survey</p> http://lod.bco-dmo.org/id/dataset-parameter/1003136.rdf Name: Tide_Height Units: meters Description: <p>Calculated actual tide height of sample point</p> http://lod.bco-dmo.org/id/dataset-parameter/1003137.rdf Name: Quadrat_number Units: unitless Description: <p>Quadrat number (S to N) at a given tide height and site. Also referred to as vertical path.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003138.rdf Name: Upper_Lower_Half Units: unitless Description: <p>Half of quadrat enumerated.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003139.rdf Name: Bare_Rock Units: number of occupied subsquares Description: <p>number of subsquares without observable organisms</p> http://lod.bco-dmo.org/id/dataset-parameter/1003140.rdf Name: Hedophyllum_sessile Units: number of occupied subsquares Description: <p>Hedophyllum sessile</p> http://lod.bco-dmo.org/id/dataset-parameter/1003141.rdf Name: Alaria_marginata Units: number of occupied subsquares Description: <p>Alaria marginata</p> http://lod.bco-dmo.org/id/dataset-parameter/1003142.rdf Name: Laminaria_setchellii Units: number of occupied subsquares Description: <p>Laminaria setchellii</p> http://lod.bco-dmo.org/id/dataset-parameter/1003143.rdf Name: Costaria_costata Units: number of occupied subsquares Description: <p>Costaria costata</p> http://lod.bco-dmo.org/id/dataset-parameter/1003144.rdf Name: PostePostelsia_palmaeformislsia_palmeaformis Units: number of occupied subsquares Description: <p>Postelsia palmaeformis</p> http://lod.bco-dmo.org/id/dataset-parameter/1003145.rdf Name: Fucus_gardneri Units: number of occupied subsquares Description: <p>Fucus gardneri</p> http://lod.bco-dmo.org/id/dataset-parameter/1003146.rdf Name: Egregia_menziesii Units: number of occupied subsquares Description: <p>Egregia menziesii</p> http://lod.bco-dmo.org/id/dataset-parameter/1003147.rdf Name: Lessoniopsis_littoralis Units: number of occupied subsquares Description: <p>Lessoniopsis littoralis</p> http://lod.bco-dmo.org/id/dataset-parameter/1003148.rdf Name: Leathesia_difformis Units: number of occupied subsquares Description: <p>Leathesia difformis</p> http://lod.bco-dmo.org/id/dataset-parameter/1003149.rdf Name: Nereocystis_luetkeana Units: number of occupied subsquares Description: <p>Nereocystis luetkeana</p> http://lod.bco-dmo.org/id/dataset-parameter/1003150.rdf Name: Pelvetiopsis_limitata Units: number of occupied subsquares Description: <p>Pelvetiopsis limitata</p> http://lod.bco-dmo.org/id/dataset-parameter/1003151.rdf Name: Crustose_Coralline_Algae Units: number of occupied subsquares Description: <p>Crustose Coralline Algae</p> http://lod.bco-dmo.org/id/dataset-parameter/1003152.rdf Name: Articulated_Coralline_Algae Units: number of occupied subsquares Description: <p>Articulated Coralline Algae</p> http://lod.bco-dmo.org/id/dataset-parameter/1003153.rdf Name: Crustose_Red_Algae Units: number of occupied subsquares Description: <p>Crustose Red Algae</p> http://lod.bco-dmo.org/id/dataset-parameter/1003154.rdf Name: Foliose_Red_Algae Units: number of occupied subsquares Description: <p>Foliose Red Algae, not including red algae identified to species</p> http://lod.bco-dmo.org/id/dataset-parameter/1003155.rdf Name: Filamentous_Red_Algae Units: number of occupied subsquares Description: <p>Filamentous Red Algae, not including red algae identified to species</p> http://lod.bco-dmo.org/id/dataset-parameter/1003156.rdf Name: Halosaccion_glandiforme Units: number of occupied subsquares Description: <p>Halosaccion glandiforme</p> http://lod.bco-dmo.org/id/dataset-parameter/1003157.rdf Name: Callithamnion_pikeanum Units: number of occupied subsquares Description: <p>Callithamnion pikeanum</p> http://lod.bco-dmo.org/id/dataset-parameter/1003158.rdf Name: Mastocarpus_papillatus Units: number of occupied subsquares Description: <p>Mastocarpus papillatus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003159.rdf Name: Endocladia_muricata Units: number of occupied subsquares Description: <p>Endocladia muricata</p> http://lod.bco-dmo.org/id/dataset-parameter/1003160.rdf Name: Porphyra_spp Units: number of occupied subsquares Description: <p>Porphyra spp.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003161.rdf Name: Mazzaella_cornucopiae Units: number of occupied subsquares Description: <p>Mazzaella cornucopiae</p> http://lod.bco-dmo.org/id/dataset-parameter/1003162.rdf Name: Ulva_spp Units: number of occupied subsquares Description: <p>Ulva spp.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003163.rdf Name: Acrosiphonia_coalita Units: number of occupied subsquares Description: <p>Acrosiphonia coalita</p> http://lod.bco-dmo.org/id/dataset-parameter/1003164.rdf Name: Phyllospadix_spp Units: number of occupied subsquares Description: <p>Phyllospadix spp.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003165.rdf Name: Allopora_californica Units: number of occupied subsquares Description: <p>Allopora californica</p> http://lod.bco-dmo.org/id/dataset-parameter/1003166.rdf Name: Colonial_Hydroid Units: number of occupied subsquares Description: <p>Colonial Hydroid, not Allopora</p> http://lod.bco-dmo.org/id/dataset-parameter/1003167.rdf Name: Anthopleura_xanthogrammica Units: number of occupied subsquares Description: <p>Anthopleura xanthogrammica</p> http://lod.bco-dmo.org/id/dataset-parameter/1003168.rdf Name: Anthopleura_elegantissima Units: number of occupied subsquares Description: <p>Anthopleura elegantissima</p> http://lod.bco-dmo.org/id/dataset-parameter/1003169.rdf Name: Clathria_spp Units: number of occupied subsquares Description: <p>Clathria spp.</p> http://lod.bco-dmo.org/id/dataset-parameter/1003170.rdf Name: Halichondria_bowerbanki Units: number of occupied subsquares Description: <p>Halichondria bowerbanki</p> http://lod.bco-dmo.org/id/dataset-parameter/1003171.rdf Name: Halichondria_panicea Units: number of occupied subsquares Description: <p>Halichondria panicea</p> http://lod.bco-dmo.org/id/dataset-parameter/1003172.rdf Name: Haliclona_cinerea Units: number of occupied subsquares Description: <p>Haliclona cinerea</p> http://lod.bco-dmo.org/id/dataset-parameter/1003173.rdf Name: Serpula_columbiana Units: number of occupied subsquares Description: <p>Serpula columbiana</p> http://lod.bco-dmo.org/id/dataset-parameter/1003174.rdf Name: Aplidium_californicum Units: number of occupied subsquares Description: <p>Aplidium californicum</p> http://lod.bco-dmo.org/id/dataset-parameter/1003175.rdf Name: Mytilus_californianus Units: number of occupied subsquares Description: <p>Mytilus californianus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003176.rdf Name: Mytilus_trossulus Units: number of occupied subsquares Description: <p>Mytilus trossulus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003177.rdf Name: Pollicipes_polymerus Units: number of occupied subsquares Description: <p>Pollicipes polymerus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003178.rdf Name: Balanus_nubilus Units: number of occupied subsquares Description: <p>Balanus nubilus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003179.rdf Name: Semibalanus_cariosus Units: number of occupied subsquares Description: <p>Semibalanus cariosus</p> http://lod.bco-dmo.org/id/dataset-parameter/1003180.rdf Name: Balanus_glandula Units: number of occupied subsquares Description: <p>Balanus glandula</p> http://lod.bco-dmo.org/id/dataset-parameter/1003181.rdf Name: Chthamalus_dalli Units: number of occupied subsquares Description: <p>Chthamalus dalli</p> http://lod.bco-dmo.org/id/dataset-parameter/1003182.rdf Name: Inidentified_Barnacles Units: number of occupied subsquares Description: <p>Inidentified Barnacles</p> http://lod.bco-dmo.org/id/dataset-parameter/1003183.rdf Name: Others Units: number of occupied subsquares Description: <p>Unidentified or rare non-target taxa</p> http://lod.bco-dmo.org/id/dataset-parameter/1003184.rdf Name: SSWD_Zonation_Change_Data Units: unitless Description: <p>Indicator of data used in study of zonation change following sea star wasting disease. 0=unused, 1=used</p> http://lod.bco-dmo.org/id/dataset-parameter/1003185.rdf Name: Site_Latitude Units: Decimal degrees Description: <p>Latitude of center of sampling site (positive values = North)</p> http://lod.bco-dmo.org/id/dataset-parameter/1003187.rdf Name: Site_Longitude Units: Decimal degrees Description: <p>Longitude of center of sampling site (negative values = West)</p> GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact https://osprey.bco-dmo.org/dataset/1003120/data/download download onLine dataset &lt;p&gt;Samples were taken at four sites of relatively uniform rock bench of at least 30 meters (m) in length at Tatoosh Island, Makah Reservation, Washington, USA, known by investigators as: East Strawberry (48.39144N, -124.73839W), The Finger (48.39387N, -124.73841), The Glacier (48.39145N, -124.74098), and Simon's Landing (48.39121N, -124.73271W). Sampling occurred on days with low spring tides to sample the broadest stretch of shoreline exposed at low tide. At each site, once per year, we set a Dewalt rotating, self-leveling laser level on a tripod just above the upper limit of the barnacle zone, set the laser detector to a specified level on the transit and moved along the shore from south to north choosing 10 spots along the bench at the selected transit height spaced as evenly as possible along the entire rock bench while avoiding topographic irregularities such as tide pools or large cracks in the rock bench. This sampling pattern resulted in 10 general sampling bands extending down each rock bench. Within each band, sampling points were selected by moving the transit to a point in the band at a generally appropriate height as assessed by moving the transit upward or angling it sideways until the laser detector on the transit beeped, then slowly moving the base of the transit up or down the shore while holding the transit vertical until the laser beam was detected. At each point, a 50 x 50 centimeter (cm) quadrat, divided into 121 sub-squares defined with monofilament cross lines to aid in estimating percent cover was centered on the identified sample point and oriented to be perpendicular to the slope of the rock, and was photographed from below (seaward side at the bottom), with the quadrat frame spanning nearly the entire vertical (short) frame of the photograph to maximize detail. Upon completion of sampling at one tide height, the detector on the transit would be moved by the selected vertical tidal sampling increment, usually 0.2 m but occasionally 0.1 m at some sites/years, and the process was repeated until the lowest point that could be reached at low tide was surveyed. Sampling was initiated 3-3.5 hours before predicted low tide to follow the tide out to its lowest level.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;Tide heights were calculated by measuring the height of the transit to the level from markers of known height at the sites, adding the known marker height to the measured transit height for the marker, then subtracting the measured transit height of each quadrat point from the sum of the defined marker height and the transit height of the marker. Data were extracted from the collected photographs on computers using Apple Preview and/or Adobe Photoshop software to allow zooming in to aid identification as necessary. To increase the spatial resolution, data were extracted separately from the top and bottom of each quadrat. The data analyst would go through each photo systematically subsquare by subsquare for each species estimating the fraction of area covered by each species in the image and then summing these areas to obtain a final total number of squares covered. Individuals were identified to the lowest possible taxonomic level possible in the photograph. Sampling was non-destructive, so the transit necessarily rested on the organisms living on the rock, making the measured tide height slightly higher than the height of the underlying rock bench.&lt;/p&gt; Specified by the Principal Investigator(s) - Imported original file &quot;TideHtQuadrat Variability All BCODMO.csv&quot; into the BCO-DMO data processing system. - Renamed columns to comply with BCO-DMO naming conventions. - Converted Sample_Date from M/D/YY format (%m/%d/%y) to ISO 8601 date format (%Y-%m-%d). - Removed &quot;??&quot; characters from Mazzaella_cornucopiae column values using find/replace (missing data values are empty/blank in the final CSV file). - Saved the final file as &quot;1003120_v1_tide_height_variability.csv&quot;. Specified by BCO-DMO Data Managers asNeeded 7.x-1.1 Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact Panasonic Lumix DMC FZ1000 digital camera Panasonic Lumix DMC FZ1000 digital camera PI Supplied Instrument Name: Panasonic Lumix DMC FZ1000 digital camera Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/ Dewalt DW074KD self-leveling rotary laser level Dewalt DW074KD self-leveling rotary laser level PI Supplied Instrument Name: Dewalt DW074KD self-leveling rotary laser level Instrument Name: Levels and staffs Instrument Short Name: Instrument Description: Optical instruments and graduated poles used in surveying to determine the elevation of a location relative to a datum level.