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11,394 results for “Surveys”

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zenodo48/100

Survey: Data Governance in Colombian Enterprises

<p>The purpose of this survey is to analyze the perception of Data Governance (DG) by Information Technology (IT) professionals in Colombian companies, in order to understand the knowledge about the importance and prospects, as well as the potential challenges in adopting good data governance practices. Its design is based on studies carried out from surveys such as Modern Data Governance (Russom, 2020) to IT professionals and consultants of companies mainly in the United States and Canada, with another smaller percentage in companies in Asia, Europe and Latin America.</p>

opencc-by-4.0May 2023View details →
zenodo48/100

Raw Data of the Surveys conducted in the Advanced Inorganic Lab Course in the Winter Terms 2020/2021, 2021/2022, and 2022/2023 at RWTH Aachen University

<p>In the advanced inorganic lab course at RWTH Aachen University, the undergraduate students are asked to use the electronic laboratory notebook (ELN) Chemotion and thus become aware of and familiar with research data management (RDM) at an early stage in their studies. To map the implementation of research data management and the Chemotion ELN in the lab course, a survey was conducted in the winter terms 2020/2021, 2021/2022, and 2022/2023 to ask the students to share their experiences and criticism on these topics.</p> <p>In this data publication, the underlying raw data of the surveys (as received from the survey software SoSci Survey<sup>1</sup>) are available as .csv-files separated into data, values, and variables for the respective winter terms. Additionally, the evaluated data are summarized in .xlsx-files which are also part of this data publication. As the principal language of the inorganic lab course is German, the survey and it&#39;s evaluation are primarily in German language, too. For further information, please have a look at the 01_Read-me.txt file.</p> <p>The survey and the related results and interpretations are available as a journal publication elsewhere.</p> <p><strong>Literature:</strong></p> <p>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Leiner, D. J. <em>SoSci Survey (Version 3.2.12 and newer) [Computer software]</em>.&nbsp;2020.<strong> </strong><a href="https://www.soscisurvey.de">https://www.soscisurvey.de</a><em> </em>(accessed 2023-07-26).</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
zenodo48/100

Underwater surveys of mullet schools (Mugil liza) with Adaptive Resolution Imaging Sonar

<p>This dataset is part of a research project that employs deep learning, with a density-based regression approach, to count fish in low-resolution sonar images (Tarling et al. preprint arXiv DOI: http://arxiv.org/abs/2104.14964).</p> <p>In this repository, we&nbsp;provide&nbsp;data from sonar-based underwater videos&nbsp;of schools of migratory mullets (<em>Mugil liza</em>)&nbsp;recorded&nbsp;at&nbsp;the Tesoura beach (28.495775 S, 48.759996 W), a 100-meter long beach at the inlet canal connecting the Laguna lagoon system to the Atlantic Ocean, in southern Brazil. Since the&nbsp;water transparency at the lagoon canal is very low (from 0.3 to 1.5m visibility; collected <em>in situ</em>&nbsp;with a Secchi disk),&nbsp;mullet schools were recorded by deploying an Adaptive Resolution Imaging Sonar, ARIS 3000 (Sound Metrics Corp, WA, USA), which uses&nbsp;128 beams to project a wedge-shaped volume of acoustic energy and convert their returning echoes into a digital overhead view of the mullet schools.</p> <p>This dataset contains&nbsp;500 fully annotated images that were manually marked for the location and abundance of mullet fish, and&nbsp;&nbsp;126 raw sonar video files, representing&nbsp;over 100k images. The files are organized as follows:</p> <p>1) &quot;2018-MM-DD_HHMMSS&quot; files are mp4 videos (you may need to add the file extension &quot;.mp4&quot;): There are 126 ARIS files converted into MP4 videos totalling over 789MB of underwater footage captured at 3 frames/seconds. Note that file names indicate the date and time the video was recorded.</p> <p>2) &quot;.npy&quot; files (in Labelled_data.zip): From the video files, 500 images were selected for labelling. Images (x) were cropped to represent a 4x8.5m<sup>2</sup>&nbsp;area and resized to 320 x 576 pixels. Mullet fish were marked with a point annotation. Corresponding ground truth density maps (y) were generated by convolving a Gaussian kernel over the image mask,&nbsp;size =4 and standard deviation = 1. The labelled dataset was randomly split into a holdout partition of 350 training images, 70 validation, and 80 test.&nbsp;</p> <p>3) &quot;.csv&quot; files: log of frames selected for the labelled subset of data</p> <p>4) &quot;.h5&quot; file: pre-trained weights for our multi-task with uncertainty regularisation network</p> <p>To advance the development of these machine learning tools, we also make our code openly available (https://github.com/ptarling/DeepLearningFishCounting).</p>

opencc-by-4.0Apr 2021View details →
zenodo48/100

L3Pilot Global User Acceptance Survey, Second Phase Data

<p>The research leading to these results received funding from the European Commission Horizon 2020 programme under the project L3Pilot (L3Pilot.eu), grant agreement number 723051. The L3Pilot Global User Acceptance Survey investigated the acceptance of SAE Level 3 (L3) conditionally automated cars. Survey data was collected in two phases. This dataset contains the data from the second phase of the survey with responses collected from 9 countries on five continents. This document contains information about the survey methodology and coding of the variables. For a detailed description of the first and second phase survey methodology, please consult L3Pilot deliverable D7.1 &lsquo;Annual quantitative survey about user acceptance towards ADAS and vehicle automation&rsquo; by Nordhoff et al. (2021).</p> <p>If you use the dataset, please cite it as: L3Pilot (2023). L3Pilot Global User Acceptance Survey, Second Phase Data. <a href="https://doi.org/10.5281/zenodo.8389718">https://doi.org/10.5281/zenodo.8389718</a></p> <p>For further information, please contact: <a href="mailto:user-survey@eict.de">user-survey@eict.de</a></p>

opencc-by-4.0Sep 2023View details →
edi48/100

City of Seattle, Seattle Public Utilities, Annual Bull Trout Redd Surveys in Tributaries to Chester Morse Lake 1996-current, Cedar River Municipal Watershed, King County, WA

These data were collected during weekly annual redd surveys conducted by Seattle Public Utilities (SPU) in the Cedar River Municipal Watershed (CRMW), 1996 - current. Annual weekly bull trout redd surveys funded through the CRMW Habitat Conservation Plan (HCP) began in 2000 and ended in 2011 spawning year. To reinstate a monitoring program for the population, redd surveys in the most heavily used habitats by bull trout (termed the Core Zone), were opportunistically conducted in 2018. Weekly annual surveys in most of the Core Zone were reinstated in 2019. Approximately 77% of all redds observed 2000 - 2011 would have been observed during those years using the 2019 - 2022 spatial survey extent (SPU data on file). In 2023, the spatial and temporal coverage of surveys were on par with historical coverage, i.e., approximately 100% of all redds observed 2000 - 2011 would have been observed using the 2023 spatial survey extent. Information on redd location is used primarily to enable derivation of redd elevations. Redd elevation is required to estimate potential impacts to the spawning population and incubating embryos caused by reservoir inundation of stream spawning habitat after the spawning period during fall through spring. Redd weekly timing information is critical to accurately represent whether embryos remain in the gravel and are vulnerable to impacts of reservoir inundation as the reservoir is refilled starting in early spring. It is also vitally important that SPU understand timing and abundance of redds beyond the inundation zone to enable understanding of the overall impact to the population.

openCC (other)Sep 2025View details →
edi48/100

Common Raven (Corvus corax) Occupancy Survey and Habitat Selection Data in Cliff Habitat of the Central Appalachian Region, USA, 2009-2010

We identified 24 cliff sites across four states of the Central Appalachian Region of the eastern USA (Kentucky, North Carolina, Virginia, and West Virginia) with known raven occupancy at which to perform occupancy surveys for estimating detection probability and the effects of covariates. We surveyed each cliff site 2-4 times in either 2009 or 2010 and recorded time-to-first detection and time to confirmed cliff occupancy during a two-hour survey. Daily surveys were completed between 06:00 and local solar noon. During each survey, we recorded covariates, including air temperature at survey start time, cloud cover, wind speed, and day of year. We also calculated the distance of the observation point from the cliff being surveyed and the forest cover around the cliff. We also collected data thought to be pertinent for habitat selection by ravens on 26 cliffs occupied by ravens and 26 cliffs deemed unoccupied by ravens in 2010. For each cliff, we measured cliff physiographic characteristics, such as cliff length, cliff height, and occlusion by vegetation, and landscape characteristics, including percent forest and urban cover around the cliff and distances from the cliff to the nearest road and human habitation.

openCC (other)Dec 2021View details →
edi48/100

Fish abundance in the San Francisco Estuary (1959-2024), an integration of 10 monitoring surveys.

The San Francisco Estuary (SFE) is simultaneously a central hub of water delivery in California and home to commercially important and endangered fishes, such as Chinook Salmon, Green Sturgeon, and Delta and Longfin Smelt. Extensive ecological monitoring has been conducted for over 50 years, mainly under the auspices of the Interagency Ecological Program for the San Francisco Estuary (https://iep.ca.gov/). We integrated fish catch and length data from 10 long-term monitoring surveys in the SFE. The integrated database contains survey-level data such as environmental variables and sampling effort in addition to the fish-level species, lengths, and counts. Zero catches have been filled in for any species not caught in a sample. The geographic scope includes San Francisco Bay through the upper estuary, and the timeseries spans 1959 to 2024. Sampling methods, gear, fish length metric, and other factors differ among the component surveys. Sampling designs (locations and temporal frequency) have also changed over time. Thus, it is highly recommended to inspect the documentation of the component surveys for more information on their methods.

openCC (other)Aug 2024View details →
edi48/100

Biodiversity expert responses to survey questions

Despite substantial progress in understanding global biodiversity loss, major taxonomic and geographic knowledge gaps remain. Decisionmakers often rely on expert judgement to fill knowledge gaps, but are rarely able to engage with sufficiently large and diverse groups of experts. To improve understanding of the perspectives of thousands of biodiversity experts worldwide, we conducted a survey and asked experts to focus on the taxa and freshwater, terrestrial, or marine ecosystem they know best. We identified biodiversity experts as corresponding authors of papers published on the topic of biodiversity in scientific journals indexed in the Web of Science over the decade from January 2010 to December 2019. Focusing on the taxa and ecosystems they know best, these experts estimated past and future global biodiversity loss, which was defined in the survey as the percentage of species that are globally threatened or extinct. Experts also ranked the direct and indirect drivers of global biodiversity loss and estimated its impacts on ecosystem functioning and nature's contributions to people. We received 3,331 responses from biodiversity experts who live in 113 countries and who research biodiversity in nearly all (187) countries, including all major habitats in freshwater, terrestrial, and marine ecosystems. The data provided here are the 3,331 responses (rows) to survey questions (columns).

openCC (other)May 2022View details →
edi48/100

Ecological Survey of Central Arizona: a survey of key ecological indicators in parcels of residential areas in the greater Phoenix metropolitan area, ongoing since 2010 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/653/2. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. In 2010, the survey was expanded to include an assessment of residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed. Investigators interested in data from the broader Ecological Survey of Central Arizona that includes all survey plots should should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.

openCustomSep 2021View details →
edi48/100

Survey of Odonata Abundance in Two Streams at El Yunque Rainforest (2018-2019)

The focus of this research was to study the natural history of odonate species in headwater montane streams following major hurricane impacts in Puerto Rico. We monitored assemblages from August 2018 to July 2019 in two headwater streams within El Yunque National Forest, Puerto Rico. Data contains information on abundance of adult and larvae of different species of Odonata, as well as head width and body length of larvae. Data a product of: Ashley Mariani-Ríos, Norman Maldonado-Benítez & Alonso Ramírez (2022) Natural history of Odonata assemblages in tropical streams in Puerto Rico, Neotropical Biodiversity, 8:1, 112-123, DOI: 10.1080/23766808.2022.2043699

openCC (other)Aug 2022View details →
edi48/100

Submersed aquatic vegetation community composition in the Sacramento-San Joaquin Delta integrated across four surveys

Submersed aquatic vegetation (SAV) has become widespread in the Sacramento-San Joaquin Delta (Delta), and the diverse SAV assemblage is dominated by non-native species. SAV negatively impacts this estuarine ecosystem by impeding flows needed for water delivery and flood control, degrading habitat needed by native species, increasing breeding habitat for disease-vectoring mosquitoes, harboring non-native predatory fish, and hindering water recreation. The goal of this published integrated dataset is to facilitate study of these impacts. This data set includes four surveys conducted in the region during 2008-2021. Two of these are short-term special studies that have been completed, and two are ongoing long-term annual surveys. The nearshore survey of SAV and largemouth bass was conducted by the University of California-Davis (UC-Davis) at sites across the Delta during 2008-2010. The Aquatic Weed Control Action was completed by the Department of Water Resources as part of the Delta Smelt Resiliency Strategy and included monthly surveys of four sites during 2017-2018. The ongoing survey of Franks Tract is conducted annually by the SePRO corporation and the Division of Boating and Waterways, and available data are from 2014-2021. The ongoing annual survey conducted by the UC-Davis Center for Spatial Technologies and Remote Sensing covers many areas of the Delta and spans 2007-2008 and 2014-2021. Additional data from these ongoing surveys and data from other surveys will be added in subsequent versions of this data set.

openCC0Mar 2023View details →
edi48/100

Interagency Ecological Program: Summer Townet Survey for Young Pelagic Fishes in the San Francisco Estuary

The Interagency Ecological Program’s (IEP) Summer Townet Survey (STN) is a long-term effort to monitor the annual recruitment success of young pelagic fishes in the upper San Francisco Estuary (California, United States). Conducted by the California Department of Fish and Wildlife (CDFW) since 1959, STN has sampled fixed locations from Eastern San Pablo Bay to Rio Vista on the Sacramento River, and to Stockton on the San Joaquin River; and a single station in the lower Napa River. The study area was expanded in 2011 to include the Sacramento Deep Water Ship Channel (SDWSC) and Cache Slough (CS). Currently, 40 stations are sampled as a “survey” every other week June through August for 6 surveys. A conical net, lashed to a fixed metal “D” frame, is pulled obliquely through the water column 2 to 3 times at each station. All fish and macro-invertebrates are identified and enumerated from each tow, with fork lengths (mm) of the first 50 of each fish species also recorded. Fish catch, length-frequency, and catch-per-unit-effort (CPUE) among stations is available with data visualization tools on the study website for all species (https://wildlife.ca.gov/Conservation/Delta/Townet-Survey). Data collected at historic 31 stations are used to calculate annual relative abundance indices for age-0 Striped Bass (Morone saxatilis) and Delta Smelt (Hypomesus transpacificus). The remaining 9 stations are sampled to expand our sampling range further upriver and increase our understanding of larval and juvenile fish abundance and distribution in the lower Napa River and the North Delta. A meso-zooplankton net targeting copepods and cladocerans is also used in parallel to assess fish food resources at each station and a subset of the fish collected are retained for diet analysis by CDFW researchers (beginning 2005, see STN and FMWT zooplankton data on EDI). The STN also measures habitat conditions via water temperature (°C), water clarity (Secchi disk depth in cm), Turbidity (NTU) and s

openCC (other)Oct 2025View details →
edi48/100

Kawe Gidaa-naanaagadawendaamin Manoomin Tribal-University Research Collaborative, University of Minnesota, Manoomin / Psiη (Wild Rice) Density Survey for Northern Minnesota and Wisconsin Waters

Wild Rice (Ojibwemowin: Manoomin; Dakodiapi: Psiŋ; Latin: Zizania palustris) abundance, harvest, and water level data, across the upper Great Lakes region collected by tribal organizations.

openCC (other)Jun 2024View details →
edi48/100

Interagency Ecological Program: Fish catch and associated water quality for the Fall Midwater Trawl Survey, Sacramento-San Joaquin Delta, 1967-2024

The Interagency Ecological Program’s (IEP) Fall Midwater Trawl Survey (FMWT) is a long-term monitoring survey conducted by the California Department of Fish and Wildlife (CDFW) and has sampled annually since its inception in 1967, with the exceptions of 1974 and 1979, when sampling was not conducted. The FMWT was initiated to determine the relative abundance and distribution of age-0 Striped Bass (Morone saxatilis) in the San Francisco Estuary (California, United States), but the data has also been used for other upper estuary pelagic species, including Delta Smelt (Hypomesus transpacificus), Longfin Smelt (Spirinchus thaleichthys), American Shad (Alosa sapidissima), Splittail (Pogonichthys macrolepidotus), and Threadfin Shad (Dorosoma petenense). The FMWT currently samples 130 stations each month from September to December and a subset of this data is used to calculate an annual abundance index. These 130 stations range from San Pablo Bay upstream to Stockton on the San Joaquin River, and West Sacramento on the Sacramento Deep Water Ship Channel. FMWT sampling data includes 193 unique station locations throughout the San Francisco Estuary; 63 are not currently sampled. Most stations no longer sampled occur in South and Central San Francisco Bay (1968-1979), with others located in San Pablo Bay and upstream into the Delta. There are catch records for stations that were sampled only once. Data users are encouraged to look at station frequency over time to understand when and where sampling occurred. Sampling takes approximately 14 days per month to complete. Historically, FMWT sampling occasionally began as early as July (1972) or August (1968-1973, 1993-1994, 1996-1997) and sometimes continued past December to March (1968-1973, 1978, 1991-2001) or beyond (1992-1995). The Spring Midwater Trawl (SMWT) was a modified survey created to continue sampling January-March to track movements of mature adult delta smelt from 1991-2001. SMWT was replaced in 2002 with the more e

openCC (other)May 2025View details →
edi48/100

Water Dawgs STEM Confidence Survey Results, 2023

This dataset originates from a STEM confidence survey conducted during the Water Dawgs program—a paid summer initiative hosted at the University of Georgia (UGA) in Athens, Georgia, USA. Held over 10 days in Summer 2023, the program engaged 16 high school students in a hands-on experience in freshwater science. Water Dawgs was designed to support students’ academic and professional development, with an emphasis on increasing access for individuals from populations historically excluded from STEM fields. The initiative was part of the broader impacts of two National Science Foundation-funded research projects and was shaped by three main objectives: (1) to expand access to university-led STEM opportunities by collaborating with a local public high school to recruit students from underrepresented backgrounds; (2) to highlight the connections between environmental science and students’ everyday lives and future career options, including non-STEM pathways; and (3) to foster greater self-efficacy in engaging with STEM subjects, particularly environmental science. The survey was administered at both the beginning and conclusion of the 10-day program to assess changes in participants’ confidence related to STEM. The survey measured STEM confidence using a Likert scale ranging from 1 to 5, with 1 indicating "not at all confident" and 5 indicating "totally confident." The included R code contains a script to generate a figure and summary statistics for questions related to general STEM confidence, specifically Questions 2, 6, 7, 9, and 12. One participant who only submitted a post-program survey was excluded from the dataset and analysis to ensure consistency across responses.

openCC (other)May 2025View details →
edi48/100

Floral Censuses and Surveys of Insect Visitors to Flowers, University of Michigan Biological Station, Summers 1984-1986

I investigated within- and between-year patterns of flowering phenology of plants and the insects that visited them in an isolated old field in northern Michigan, USA. The project goal was to document the dynamics of resource availabilty (each floral species produced nectar and/or pollen) and assess the implications of its temporal variation on the composition of the community of insects that exploited those resources. I censued the number of open flowers for each species in 50 4-m2 quadrats at 3- 5-day intervals from June-September 1984-1986, and in separate but contemporaneous surveys of the same quadrats recorded each insect species observed on any open flower. Census and survey details noted below.

openCC (other)Jun 2025View details →
edi48/100

Interagency Ecological Program: San Francisco Bay Study Survey for Fish and Mobile Crustaceans 1980-2024

The San Francisco Bay Study (Bay Study) was established in 1980 to determine the effects of freshwater outflow on the abundance and distribution of fish and mobile crustaceans (brachyuran crabs and caridean shrimp) in the San Francisco Estuary, mainly downstream of the Sacramento-San Joaquin Delta. The Bay Study survey currently samples 52 open-water stations monthly from a research vessel with two types of trawl gear: a midwater trawl to sample pelagic fishes, and an otter trawl to sample demersal fishes, crabs, and shrimp. Historically, the study also included plankton sampling (1980-1989) for larval fish and crustaceans. Fish collected by the otter and midwater trawl are identified to species, counted, and a representative subsample is measured. In addition, crabs from the otter trawl are identified, counted, sexed, and measured, and gelatinous zooplankton from the midwater trawl are identified and counted. Shrimp are retained from each otter trawl sample and returned to the laboratory for processing, which includes identification, counts, sex, and length. Additional data collected at each station includes water depth, Secchi, and a water column profile of temperature and conductivity. This data publication includes fish, crab, shrimp, gelatinous zooplankton (jellies), and water quality data. Metadata related to the plankton sampling will be included in the future when this data is published.

openCC (other)Feb 2026View details →
edi48/100

Ecological Survey of Central Arizona: a survey of key ecological indicators in the greater Phoenix metropolitan area and surrounding Sonoran desert, ongoing since 1999 (Reformatted to the ecocomDP Design Pattern)

This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/652/3. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey, formerly known as the survey 200 and renamed to ESCA in 2015, is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient. A pilot survey was conducted in 1999, and the first full ESCA was conducted in 2000. The maiden survey in 2000 featured a suite of measurements that were not assessed in later surveys, including data from a portable weather station set up during the field survey at each location, organic matter decomposition, pollen,

openCustomSep 2021View details →
edi48/100

Plant survey data from LTER and other US grasslands

Understanding factors that influence ecological stability is a key question in ecology. Population ecology has highlighted that synchrony within a species across locations is an important indicator of species stability. Community ecology, in contrast, has highlighted that asynchrony between species within a location may enhance the stability of aggregate properties (such as total productivity). We compiled LTER and other data across 20 metacommunities in grassland and coastal marine biomes to integrate population and community approaches to synchrony to understand drivers of ecosystem stability at different scales. All datasets feature long-term (10-34 years) measurements of the primary producer community across multiple (6-49) discrete plots, with taxonomic identifications to species in most or all cases. This data package contains data from grasslands sites: Hayes, Kansas; Jasper Ridge Biological Preserve, Jornada LTER, Kellogg Biological Station LTER, Short Grass Steppe LTER, Konza Prairie LTER, Cedar Creek LTER and Sevilleta LTER.

openCC (other)May 2021View details →
edi48/100

Benthic algae and sessile invertebrate survey data from LTER and other reef ecosystems

Understanding factors that influence ecological stability is a key question in ecology. Population ecology has highlighted that synchrony within a species across locations is an important indicator of species stability. Community ecology, in contrast, has highlighted that asynchrony between species within a location may enhance the stability of aggregate properties (such as total productivity). We compiled LTER and other data across 20 metacommunities in grassland and coastal marine biomes to integrate population and community approaches to synchrony to understand drivers of ecosystem stability at different scales. All datasets feature long-term (10-34 years) measurements of the primary producer community across multiple (6-49) discrete plots, with taxonomic identifications to species in most or all cases. This data package contains data from coastal marine sites: Santa Barbara Coastal LTER; Moorea Coral Reef; US Virgin Islands; Maui, Hawaii; and the Florida Keys.

openCC (other)May 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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