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zenodo40/100

FIG. 8 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 8. — Echinorhinus brucus (Bonnaterre, 1788) in Australian (Melbourne) collections (continuation): A, NMV 51369 (Entry 7); B, C, NMV A15734 (Entry 8).

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 17 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 17. — Echinorhinus brucus (Bonnaterre, 1788) in French (Ergué-Gabéric and Bayonne) collections: A, GAB-MOO unregistered (Entry 64); B, MHNB 2013.0.162 (Entry 65).

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 6 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 6. — Echinorhinus brucus (Bonnaterre, 1788) in Austrian (Vienna) collections: A-C, NMW 3065 (Entry 3); D-G, NMW 50137 (Entry 4); H-J, NMW 85158 (Entry 5).

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 15 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 15. — Echinorhinus brucus (Bonnaterre, 1788) in German (Stuttgart, Berlin and Hamburg) collections: A, SMNS 16252 (Entry 48); B-D, ZMB 4536 (Entry 50); E, ZMB 12541 (Entries 51-52); F, G, ZMB 34908 (Entry 53); H, I, ZMB 34909 (Entry 54); J, ZMB 34910 (Entry 55); K, L, ZMH 26192 (Entry 57).

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 4 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 4. — Numbers of individual Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) in natural history collections worldwide, dated and grouped per decade (this survey, n = 157): A, Global waters (the Atlantic Ocean); B, European waters, including the north-eastern Atlantic Ocean and the Mediterranean Sea; C, American waters, including the north-western and the south-western Atlantic Ocean; D, African waters, including the eastern and the south-eastern Atlantic Ocean.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 20 in An inventory of Bramble sharks Echinorhinus brucus (Bonnaterre, 1788) (Elasmobranchii, Echinorhinidae) in natural history collections worldwide for conservation status assessment

FIG. 20. — Echinorhinus brucus (Bonnaterre, 1788) in French (Nantes) collections (continuation): A-E, MHNN.Z.019419 (Entry 73).

opencc-zeroNov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Audun Fosshagen, <a href="http://www.wikidata.org/entity/Q69145112">http://www.wikidata.org/entity/Q69145112</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroNov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Marcia Wicklow-Howard, <a href="http://www.wikidata.org/entity/Q123532019">http://www.wikidata.org/entity/Q123532019</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroNov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Carl Skottsberg, <a href="http://www.wikidata.org/entity/Q942078">http://www.wikidata.org/entity/Q942078</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroNov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Beatrice B. Boore, <a href="http://www.wikidata.org/entity/Q123531536">http://www.wikidata.org/entity/Q123531536</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroNov 2023View details →
zenodo40/100

Unpublished data: Quantifying CO2 Emissions and Carbon Sequestration from Digestate-Amended Soil Using Natural 13C Abundance as a Tracer

<p>Unprocessed data of CO2 evolution measured daily on cavity ring-down spectroscopy analyser (G2201-i CRDS isotopic CO2/CH4 analyser, Picarro, Santa Clara, CA, USA).</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Frederik Wilhelm Åmark, <a href="http://www.wikidata.org/entity/Q123630914">http://www.wikidata.org/entity/Q123630914</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroDec 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Antoni Stanisław Waga, <a href="http://www.wikidata.org/entity/Q4102157">http://www.wikidata.org/entity/Q4102157</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroDec 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Jan Sztolcman, <a href="http://www.wikidata.org/entity/Q1682276">http://www.wikidata.org/entity/Q1682276</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroDec 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Józef Mikołaj Potocki, <a href="http://www.wikidata.org/entity/Q4374911">http://www.wikidata.org/entity/Q4374911</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJun 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Stephen David Durrant, <a href="http://www.wikidata.org/entity/Q19877591">http://www.wikidata.org/entity/Q19877591</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroDec 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Eryl Smith, <a href="http://www.wikidata.org/entity/Q75316050">http://www.wikidata.org/entity/Q75316050</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroDec 2023View details →
zenodo40/100

Groundwater level data, aquifer system boundaries, and supplementary tables associated with Jasechko, S. et al. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, doi.org/10.1038/s41586-023-06879-8 (2024).

<p>Groundwater level data, aquifer system boundaries, and Supplementary Tables associated with Jasechko, S., Seybold, H., Perrone, D., Fan, Y., Shamsudduha, M., Taylor, R.G., Fallatah, O., Kirchner, J.W. Rapid groundwater decline and some cases of recovery in aquifers globally. Nature, https://doi.org/10.1038/s41586-023-06879-8 (2024).</p>

opencc-by-4.0Dec 2023View details →
zenodo40/100

Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Vicuna-13b-v1.5

<p>A new synthetic dataset (training/validation) for end-to-end Relation Extraction of relationships between Organisms and Natural-Products.</p><p>The new dataset was generated using <a href="https://huggingface.co/lmsys/vicuna-13b-v1.5">Vicuna-13b-v1.5</a>, derived from LLaMA 2. Like the model, the produced synthetic data are also submitted to the License of the model used for generation, see the original <a href="https://github.com/facebookresearch/llama/blob/main/LICENSE">LLaMA 2 license</a>.</p><p>The new dataset was created based on the top-1000 (per biological kingdom) LOTUS literature references extracted with the <a href="https://github.com/idiap/gme-sampler">GME-sampler</a>.</p><p>The dataset contains 10,405 items in the training set and 547 items in the validation set.</p><p>The dataset was generated using the same protocol as described in the <a href="https://github.com/idiap/gme-sampler">article</a>.</p>

opencc-by-sa-4.0Nov 2023View details →
zenodo40/100

Figure 5. a in Systematics, morphometry, and distribution of Eptesicus fuscus miradorensis (H. Allen, 1866) (Chiroptera: Vespertilionidae), with notes on baculum morphology and natural history

Figure 5. a. Suitability map of Eptesicus miradorensis in America using the Maxent algorithm. The higher suitability values are present in México,Guatemala,north Colombia, and Venezuela. b. Binary distribution map of Eptesicus miradorensis using the 10-percentile threshold value. Red points represent the species records.

opencc-by-4.0May 2023View details →

ScienceDex guides

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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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