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91 results for “Darwin Core”

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edi44/100

Long-term fish abundance data for Wisconsin Lakes Department of Natural Resources and North Temperate Lakes LTER 1944 - 2012 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/346/6, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/356/3. The abstract below was extracted from the Level 0 data package and is included for context: This dataset describes long-term (1944-2012) variations in the relative abundance of fish populations representing nine species in Wisconsin lakes. Data were collected by Wisconsin Department of Natural Resource fisheries biologists as part of routine lake fisheries assessments. Individual survey methodologies varied over space and time and are described in more detail by Rypel, A. et al., 2016. Seventy-Year Retrospective on Size-Structure Changes in the Recreational Fisheries of Wisconsin. Fisheries, 41, pp.230-243. Available at: http://afs.tandfonline.com/doi/abs/10.1080/03632415.2016.1160894

openCC0Aug 2021View details →
zenodo40/100

Illustrative Darwin core archive to input data on a citizen science platform from a collection management system

<p>Illustrative DwC archive to send data from a collection management system to a citizen sciences platform. This illustrative archive displays the specimens used for the trans-institutional and trans-platform pilot project held in the frame of ICEDIG.</p> <p>Further description of its content in the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

Linked collectors and determiners for: Revision of the Malagasy genus Trichoteleia Kieffer (Hymenoptera, Platygastroidea, Platygastridae) - Darwin Core Archives.

Natural history specimen data linked to collectors and determiners held within, "Revision of the Malagasy genus Trichoteleia Kieffer (Hymenoptera, Platygastroidea, Platygastridae) - Darwin Core Archives". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/12a6bf1f-f66e-408c-8c6c-771af210e6a8">https://bionomia.net/dataset/12a6bf1f-f66e-408c-8c6c-771af210e6a8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/12a6bf1f-f66e-408c-8c6c-771af210e6a8">https://gbif.org/dataset/12a6bf1f-f66e-408c-8c6c-771af210e6a8</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Fishes of Texas Project (FoTX) Database - Darwin Core.

Natural history specimen data linked to collectors and determiners held within, "Fishes of Texas Project (FoTX) Database - Darwin Core". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ba5b0f3a-73dd-459f-a7f1-9abc327aed00">https://bionomia.net/dataset/ba5b0f3a-73dd-459f-a7f1-9abc327aed00</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ba5b0f3a-73dd-459f-a7f1-9abc327aed00">https://gbif.org/dataset/ba5b0f3a-73dd-459f-a7f1-9abc327aed00</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
edi40/100

North Temperate Lakes LTER: Crayfish Abundance 1981 - current (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/287/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/3/29. The abstract below was extracted from the Level 0 data package and is included for context: Crayfish data include crayfish catch in cylindrical minnow traps baited with beef liver and occasional occurrence in other gear used to sample fish. Traps are placed at fyke net locations in nine study lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, Mendota, Monona, Wingra and Fish). Crayfish traps have been eliminated as gear in the Madison area lakes (Mendota, Monona, Wingra, and Fish) after 2003. Individuals are identified to species and counted. In Trout and Sparkling Lake more detailed surveys have been conducted during the summer on an ad hoc basis to track distribution and abundance of the invading species Orconectes rusticus. Additional data sets consist of pre-LTER sets (initiated in late June 1972) gathered by Capelli (Ph.D. dissertation) and Lorman (Ph.D. dissertation). Most of pre-LTER data is detailed distribution in Trout Lake, and community composition in other area lakes. Sampling Frequency: annually Number of sites: 9 Note that 2020 data does not exist due to insufficient sampling.

openCC (other)Jul 2021View details →
edi40/100

North Temperate Lakes LTER: Benthic Macroinvertebrates 1981 - current (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/290/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/11/35. The abstract below was extracted from the Level 0 data package and is included for context: Macroinvertebrates are collected from selected shoreline and deep water locations in the seven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, and unnamed lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) in the Trout Lake area using modified Hester-Dendy samplers. Samplers are placed at fyke net and gill net locations in August and retrieved 3-4 weeks later. Macroinvertebrates are preserved in ethanol. This dataset contains counts of various groups of macroinvertebrates identified from specific samples. The majority of the identifications are at the genus level. The data table "Benthic Macroinvertebrate Codes" identifies the taxonomic group represented by each group code. Taxonomic references: Ecology and Classification of North American Freshwater Invertebrates, Edited by James H Thorp and Alan P Covich, Academic Press, Inc, 1991; Aquatic Insects of Wisconsin, William L Hilsenhoff, Natural History Museums Council, University of Wisconsin-Madison (1995). Sampling Frequency: annually Number of sites: 7

openCC (other)Jul 2021View details →
edi40/100

North Temperate Lakes LTER: Fish Abundance 1981 - current (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/303/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/7/39. The abstract below was extracted from the Level 0 data package and is included for context: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and smallmouth bass, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and the exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows. Protocol used to generate data: Day seines were only used in 1981 and have been eliminated from this da

openCC0Jul 2021View details →
edi40/100

CGR02 Sweep sampling of Grasshoppers on Konza Prairie LTER watersheds (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/341/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/29/18. The abstract below was extracted from the Level 0 data package and is included for context: Sweep samples were taken for grasshoppers (Acrididae) at two sites for each of 14 Konza Prairie LTER watersheds. Samples are taken in late July to early August. At each site on each occasion, 10 sets of 20 sweeps (200 sweeps total) are taken. Stored data include for each site on each occasion: total number of each species (all instars combined) collected and total number for each instar for each species (200 sweeps combined).

openCC0Aug 2021View details →
edi40/100

CSM01 Seasonal Summary of Numbers of Small Mammals on 14 LTER Traplines in Prairie Habitats at Konza Prairie (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/343/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-knz/88/8. The abstract below was extracted from the Level 0 data package and is included for context: Data set contains seasonal summaries (spring and autumn) of the number of individuals of each species of small mammal captured (relative abundance) on each grassland trapline. Each record contains year, season, trapline and number of individuals captured of each species. These live trap records are based on daily captures during two 4-day trapping periods in spring (late February to early April) and autumn (early October to mid-November) for each of 14 permanent traplines established on seven fire-grazing treatments (two traplines per treatment). These seven fire-grazing treatments include three sites that are grazed by bison (1 unburned, 1 annual burn and 1 4-year burn) and four sites that are not grazed by bison (1 unburned, 1 annual burn and 2 4-year burn).

openCC0Aug 2021View details →
edi40/100

Biodiversity - Fauna - Bird Survey (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/191/4, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bes/543/170. The abstract below was extracted from the Level 0 data package and is included for context: This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The database consists of four tables. Sites, Surveys, Taxalist, and Birds. Sites records thje sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute info

openCustomAug 2021View details →
edi40/100

Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/350/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/6/1. The abstract below was extracted from the Level 0 data package and is included for context: The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.

openOpenAug 2021View details →
edi40/100

Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/352/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/2/1. The abstract below was extracted from the Level 0 data package and is included for context: This data package consists of Zooplankton Data for North Inlet Estuary, South Carolina, from 1981 to 1992, North Inlet LTER. The purpose of the long term monitoring of zooplankton was to characterize the fauna in the water column larger than or equal to 153 microns and to obtain some basic information on each of the taxa encountered there. A sampling regime of collections made at regular biweekly intervals was implemented to provide the best quantitative assessment of long term changes in the zooplankton population dynamics.

openOpenAug 2021View details →
edi40/100

LTER Epibenthos Sampling Data for North Inlet Estuary, Georgetown, South Carolina from 1981 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/354/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/7/1. The abstract below was extracted from the Level 0 data package and is included for context: This data package consists of Epibenthos Sampling for North Inlet Stations Bread and Butter Creek, from 1981 to 1992, and Debidue Creek from 1981 to 1984, The purpose of the long term monitoring of Epibenthos was to determine seasonal and inter-annual changes in the taxonomic/life stage composition and abundance of small motile epibenthic invertebrates and fishes (1-20 mm in length) in the major sub- tidal habitats of North Inlet estuary.

openOpenAug 2021View details →
edi40/100

Macrobenthos Sampling data for the North Inlet Estuary, Georgetown,South Carolina, from 1981 to 1992 North Inlet LTER (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/353/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/9/1. The abstract below was extracted from the Level 0 data package and is included for context: This data package consists of Macrobenthos Sampling Data for North Inlet Stations Bread and Butter Creek from 1981 to 1992, and Debidue Creek from 1981 to 1984, North Inlet LTER. The purpose of this study was to document the composition and abundance of macrobenthic subtidal populations over time at one mud and one sand site. Macrobenthos was defined here as those animals retained on a 0.5 mm mesh screen.

openOpenAug 2021View details →
edi40/100

Long Term Mammal Data from Powdermill Biological Station 1979-1999 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/356/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-vcr/67/20. The abstract below was extracted from the Level 0 data package and is included for context: This is a 20-year record of small mammal trapping from the Powdermill Biological Station, Rector, PA 15677 collected by Joseph F. Merritt. It is included here as a comparative source of small mammal data.

openCustomAug 2021View details →
zenodo36/100

Illustrative Darwin core archive to output data from a citizen science platform to a collection management system

<p>Illustrative DwC archive to send data back to a collection management system from a citizen sciences platform. This illustrative archive displays the specimens used for the trans-institutional and trans-platform pilot project held in the frame of ICEDIG.</p> <p>Further description of its content in the milestone28 document, worpackage 5.2 of the ICEDIG project.</p>

opencc-by-4.0Feb 2019View details →
zenodo32/100

seltmann/taxonomy-darwin-core: A GitHub Approach to Publishing Darwin Core Formatted Occurrence Data for Taxonomic Studies

<p><strong>A GitHub Approach to Publishing Darwin Core Formatted Occurrence Data for Taxonomic Studies</strong></p> <p><strong>Description</strong><br> This repository contains a Darwin Core Archive template and instructions for revisionary taxonomists to use to publish their data as a Darwin Core Archive or Darwin Core Compliant CSV file. This repository contains the Darwin Core Archive for &quot;A taxonomic revision of <em>Gryonoides</em> Dodd, 1920 (Hymenoptera: Scelionidae), with a review of the hosts of Teleasinae.&quot; The archive was produced by the authors from data contained in mx (Yoder et al. 2006&ndash;present).</p> <p><strong>Summary</strong><br> Darwin core archives have emerged as the accepted data-sharing standard for occurrence data about organisms. These occurrences could be observations or specimens in natural history collections. The standard is applied by natural history collections worldwide to share their data between various repositories, including Global Biodiversity Information Faculty (GBIF) and Integrated Digitized Bio collections (iDigBio). This repository can be repurposed as an example template for publishing material examined as a Darwin Core Archive, accessible for data aggregators, journals, and conforming to community standards. This method can be used for any occurrence dataset, such as material examined, species monitoring observation records, ecological observations, or natural history collection data.</p> <p><strong>How to Create a Darwin Core Archive Using this Repository</strong><br> 1- Fork repository on GitHub or download its contents.</p> <p>2- Use the occurrences.csv file as a template. Delete the *Gryonoides* data and add your own. Do not change the column number or order. It is ok to leave in extra columns that you do not use. The only columns that need to be filled out are <em>occurrenceID</em>&nbsp;and <em>BasisOfRecord</em>. Specific definitions of the field names can be found in the Darwin Core Documentation under the <a href="https://dwc.tdwg.org/terms/#occurrence">Occurrence Core</a>.</p> <p>3- Do not touch the meta.xml. This file describes the columns in the occurrences.csv file.</p> <p>4- Edit the eml.xml files to include information about your institution and project.&nbsp;</p> <p>5- Zip the folder to create the archive. If you are using GitHub you can use the zip function for the repository using Code &nbsp;-&gt; Download ZIP.</p> <p>6- Validate the archive using the <a href="https://www.gbif.org/tools/data-validator">GBIF Data Validator tool</a>.</p> <p><strong>Citations</strong></p> <p>Yoder, M.J., Dole, K., Seltmann, K., and Deans, A. 2006-Present. Mx, a collaborative web based content management for biological systematists. http://mx.phenomix.org/index.php/Main_Page<br> &nbsp;</p>

openother-openNov 2021View details →
zenodo32/100

Supplementary material 3 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

Supplementary material 3 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

opencc-zeroJan 2018View details →
zenodo32/100

Supplementary material 2 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

Supplementary material 2 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

opencc-zeroJan 2018View details →
zenodo32/100

Supplementary material 1 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

Supplementary material 1 from: DoNascimiento C, Herrera-Collazos EE, Herrera-R GA, Ortega-Lara A, Villa-Navarro FA, Usma-Oviedo JS, Maldonado-Ocampo JA (2017) Checklist of the freshwater fishes of Colombia: a Darwin Core alternative to the updating problem. ZooKeys 708: 25-138. https://doi.org/10.3897/zookeys.708.13897

opencc-zeroJan 2018View details →

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Allen Brain Atlas

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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