Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

12,237

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

12,237 results for “2019”

Learn how ShareScore rates datasets ↗
zenodo32/100

COSMO-CLM outputs Central Asia Russo et al. 2019

<p>Monthly values of 2-meter temperature (T2M), total precipitation (TOT_PREC) and diurnal temperature range (DTR) derived from the simulations performed with the&nbsp; Regional Climate Model COSMO-CLM (Roeckel et al. 2008)&nbsp; for the CORDEX Central Asia Domain, presented in Russo et al. 2019 ( https://doi.org/10.5194/gmd-2019-22, 2019).</p> <p>The data have a spatial resolution of ~25 km.&nbsp; The data cover the period 1996-2005. For some realization, a file covering the period 2005-2015 is also present. All simulations are initialized on the 01.01.1991. The only exception are 4 simulations used to investigate the model internal variability, whose initial time has been shifted of +1,-1,+3 and -3 with respect to the default initial date.</p>

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

Tableaux supplémentaires - Thèse Juliette Coignard 2019: "Nouvelles stratégies pour l'étude des facteurs génétiques impliqués dans le cancer du sein familial."

<p>Tableaux suppl&eacute;mentaires - Th&egrave;se Juliette Coignard 2019</p> <p>Tableau suppl&eacute;mentaire 1: SNPs associ&eacute;s au cancer du sein dans la population enti&egrave;re de GENESIS</p> <p>Tableau suppl&eacute;mentaire 2: SNPs associ&eacute;s au cancer du sein dans la population totale de GENESIS et leurs OR dans chacun des groupes form&eacute;s selon les expositions aux radiations et selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 3: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes non expos&eacute;es aux radiations.</p> <p>Tableau suppl&eacute;mentaire 4: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes non expos&eacute;es aux radiations et leurs OR dans chacun des groupes form&eacute;s selon les expositions aux radiations.</p> <p>Tableau suppl&eacute;mentaire 5: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes &agrave; score de risque mod&eacute;r&eacute; selon les expositions aux radiations</p> <p>Tableau suppl&eacute;mentaire 6: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes &agrave; score de risque mod&eacute;r&eacute; selon les expositions aux radiations et leurs OR dans chacun des groupes form&eacute;s selon les expositions aux radiations.</p> <p>Tableau suppl&eacute;mentaire 7: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes &agrave; score de risque &eacute;lev&eacute; selon les expositions aux radiations.</p> <p>Tableau suppl&eacute;mentaire 8: SNPs associ&eacute;s au cancer du sein dans le groupe des femmes &agrave; score de risque &eacute;lev&eacute; selon les expositions aux radiations et leurs OR dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 9: SNPs des g&egrave;nes de la r&eacute;gulation des hormones sexuelles associ&eacute;s au cancer du sein des femmes &agrave; score de risque faible selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 10: SNPs des g&egrave;nes de la r&eacute;gulation des hormones sexuelles associ&eacute;s au cancer du sein des femmes &agrave; score de risque faible selon les facteurs gyn&eacute;co-obst&eacute;triques et leur ORs dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 11: SNPs des g&egrave;nes de la r&eacute;gulation des hormones sexuelles associ&eacute;s au cancer du sein des femmes &agrave; score de risque mod&eacute;r&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 12: SNPs des g&egrave;nes de la r&eacute;gulation des hormones sexuelles associ&eacute;s au cancer du sein des femmes &agrave; score de risque mod&eacute;r&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques et leur ORs dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 13: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque faible selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 14: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque faible selon les facteurs gyn&eacute;co-obst&eacute;triques et leur ORs dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 15: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque mod&eacute;r&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 16: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque mod&eacute;r&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques et leur ORs dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 17: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque &eacute;lev&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques.</p> <p>Tableau suppl&eacute;mentaire 18: SNPs des g&egrave;nes de la r&eacute;paration de l&#39;ADN associ&eacute;s au cancer du sein des femmes &agrave; score de risque &eacute;lev&eacute; selon les facteurs gyn&eacute;co-obst&eacute;triques et leur ORs dans chacun des groupes form&eacute;s.</p> <p>Tableau suppl&eacute;mentaire 19: SNPs associ&eacute;s de fa&ccedil;on significative (p&lt;10<sup>-8</sup>) avec les mutations dans le g&egrave;ne <em>BRCA1</em> dans l&rsquo;analyse <em>control-only</em>.</p> <p>Tableau suppl&eacute;mentaire 20: SNPs associ&eacute;s de fa&ccedil;on significative (p&lt;10<sup>-8</sup>) avec les mutations dans le g&egrave;ne <em>BRCA2</em> dans l&rsquo;analyse <em>control-only</em>.</p> <p>Tableau suppl&eacute;mentaire 21: SNPs associ&eacute;s de fa&ccedil;on significative (p&lt;10<sup>-8</sup>) avec les mutations dans le g&egrave;ne <em>BRCA1 </em>dans l&rsquo;analyse <em>case-only</em>.</p> <p>Tableau suppl&eacute;mentaire 22: SNPs associ&eacute;s de fa&ccedil;on significative (p&lt;10<sup>-8</sup>) avec les mutations dans le g&egrave;ne <em>BRCA2 </em>dans l&rsquo;analyse <em>case-only</em>.</p> <p>Tableau suppl&eacute;mentaire 23: Potentiel SNPs causaux (CCVs) des r&eacute;gions trouv&eacute;es associ&eacute;es dans l&rsquo;analyse BRCA1.</p> <p>Tableau suppl&eacute;mentaire 24: Potentiel SNPs causaux (CCVs) des r&eacute;gions trouv&eacute;es associ&eacute;es dans l&rsquo;analyse BRCA2.</p> <p>Tableau suppl&eacute;mentaire 25: SNPs trouv&eacute;s associ&eacute;s au cancer du sein tous sous-types dans la population g&eacute;n&eacute;rale&nbsp;: r&eacute;sultats obtenus dans l&rsquo;analyse <em>case-only</em> chez les sujets porteurs d&rsquo;une mutation <em>BRCA1</em>.</p> <p>Tableau suppl&eacute;mentaire 26: SNPs trouv&eacute;s associ&eacute;s au cancer du sein de type ER<sup>-</sup> dans la population g&eacute;n&eacute;rale&nbsp;: r&eacute;sultats obtenus dans l&rsquo;analyse <em>case-only</em>, restreinte aux cas de BCAC ayant une tumeur ER<sup>-</sup>, chez les sujets porteurs d&rsquo;une mutation <em>BRCA1</em>.</p> <p>Tableau suppl&eacute;mentaire 27: SNPs trouv&eacute;s associ&eacute;s au cancer du sein tous sous-types dans la population g&eacute;n&eacute;rale&nbsp;: r&eacute;sultats obtenus dans l&rsquo;analyse <em>case-only</em> chez les sujets porteurs d&rsquo;une mutation <em>BRCA2</em>.</p>

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

Chartes-TNAH/digital-edition: 2019

<p>D&eacute;p&ocirc;t d&#39;&eacute;ditions TEI r&eacute;alis&eacute;es dans le cadre du master TNAH</p>

openother-openOct 2019View details →
zenodo32/100

Zenodo metadata JSON records as of 2019-09-16

<p>This preliminary dataset contains the&nbsp;<code>application/vnd.zenodo.v1+json</code>&nbsp;JSON records of&nbsp;<a href="http://zenodo.org/">Zenodo</a>&nbsp;deposits as retrieved on 2019-09-16.</p> <p><strong>Files</strong></p> <ul> <li><code>zenodo-records-json-2019-09-16.tar.xz</code>&nbsp;<em>Zenodo JSON records</em><br> XZ-compressed tar archive of individual JSON records as retrieved from Zenodo. Filenames reflects record, e.g.&nbsp;<code>1310621.json</code>&nbsp;was retrieved from&nbsp;<a href="https://zenodo.org/api/records/1310621">https://zenodo.org/api/records/1310621</a>&nbsp;using content-negotiation for&nbsp;<code>application/vnd.zenodo.v1+json</code></li> <li><code>zenodo-records-json-2019-09-16-filtered.jsonseq.xz</code>&nbsp;<em>Concatinated Zenodo JSON records</em><br> XZ-compressed&nbsp;<a href="https://tools.ietf.org/html/rfc7464">RFC7464</a>&nbsp;JSON Sequence stream, readable by&nbsp;<a href="https://stedolan.github.io/jq/manual/v1.5/">jq</a>. Concatination of Zenodo JSON records. Order not significant.</li> <li><code>zenodo-records.sh</code>&nbsp;<em>Retrieve Zenodo JSON records</em><br> A retrospectively created Bash shell script that shows the commands used to retrieve JSON files and concationate to jsonseq.</li> <li><code>ro-crate-metadata.jsonld</code>&nbsp;<em><a href="https://w3id.org/ro/crate/0.2">RO-Crate 0.2</a> structured metadata</em></li> <li><code>ro-crate-preview.html</code>&nbsp;<em>Browser rendering of RO-Crate structured metadata</em></li> <li><code>README.md</code>&nbsp;<em>This dataset description</em></li> </ul> <p><strong>License</strong></p> <p>This dataset is provided under the license&nbsp;<a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License, version 2.0</a>:</p> <p>Copyright 2019 The University of Manchester</p> <p>Licensed under the Apache License, Version 2.0 (the &quot;License&quot;); you may not use this file except in compliance with the License. You may obtain a copy of the License at</p> <pre><code>http://www.apache.org/licenses/LICENSE-2.0 </code></pre> <p>Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an &quot;AS IS&quot; BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.</p> <p><strong>CC0 for Zenodo metadata</strong></p> <p>The&nbsp;<a href="https://about.zenodo.org/terms/">Zenodo metadata</a>&nbsp;in&nbsp;<code>zenodo-records-json-2019-09-16.tar.xz</code>&nbsp;is reused under the terms of&nbsp;<a href="https://creativecommons.org/publicdomain/zero/1.0/">https://creativecommons.org/publicdomain/zero/1.0/</a></p> <p><strong>Reproducibility</strong></p> <p>To retrieve the Zenodo JSON it was deemed necessary to use the&nbsp;<a href="https://github.com/zenodo/zenodo/issues/1426#issuecomment-369171411">undocumented</a>&nbsp;parts of&nbsp;<a href="https://developers.zenodo.org/">Zenodo API</a>.</p> <p>From the&nbsp;<a href="https://github.com/zenodo/zenodo/blob/deploy-qa-2019-09-19-0735/zenodo/config.py#L814">Zenodo source code</a>&nbsp;it was identified that the REST template&nbsp;<code>https://zenodo.org/api/records/{pid_value}</code>&nbsp;could be used with&nbsp;<code>pid_value</code>&nbsp;as the numeric part from the OAI-PMH identifier, e.g. for&nbsp;<code>oai:zenodo.org:1310621</code>&nbsp;the Zenodo JSON can be retrieved at&nbsp;<a href="https://zenodo.org/api/records/1310621">https://zenodo.org/api/records/1310621</a>.</p> <p>The JSON API supports content negotiation, the content-types supported as of 2019-09-20 include:</p> <ul> <li><code>application/vnd.zenodo.v1+json</code>&nbsp;giving the Zenodo record in Zenodo&#39;s&nbsp;<a href="https://github.com/zenodo/zenodo/blob/deploy-qa-2019-09-19-0735/zenodo/modules/records/serializers/schemas/json.py#L267">internal JSON schema</a>&nbsp;(v1)</li> <li><code>application/ld+json</code>&nbsp;giving&nbsp;<a href="https://www.w3.org/TR/2014/REC-json-ld-20140116/">JSON-LD</a>&nbsp;Linked Data using the&nbsp;<a href="http://schema.org/">http://schema.org/</a>&nbsp;vocabulary</li> <li><code>application/x-datacite-v41+xml</code>&nbsp;giving&nbsp;<a href="https://doi.org/10.5438/0012">DataCite v4 XML</a></li> <li><code>application/marcxml+xml</code>&nbsp;giving&nbsp;<a href="http://www.loc.gov/standards/marcxml/">MARC</a>&nbsp;21 XML</li> </ul> <p>Using these (currently) undocumented parts of the Zenodo API thus avoids the need for HTML scraping while also giving individual complete records that are suitable to redistribute as records in a filtered dataset.</p> <p>This preliminary exploration will be adapted into the reproducible CWL workflow, for now included as a Bash script&nbsp;<code>zenodo-records.sh</code></p> <p>Execution time was about 3 days from a server at the University of Manchester network on a single 1 GBps network link. The script does:</p> <ul> <li>Retrieve each of the first 3.5 million Zenodo records<br> as Zenodo JSON by iterating over possible numeric IDs (the maximum ID&nbsp;<code>3450000</code>&nbsp;was estimated from&nbsp;<a href="https://zenodo.org/">&quot;Recent uploads&quot;</a>)</li> <li>Filter list to exclude records that are not found, moved or deleted. The presence of the key&nbsp;<code>conceptrecid</code>&nbsp;is used as marker.</li> <li>Use&nbsp;<a href="https://stedolan.github.io/jq/manual/v1.5/">jq</a>&nbsp;to ensure the JSON is on a single line</li> <li>Join the JSON files using the ASCII Record Separator (RS,&nbsp;<code>0x1e</code>) to make a&nbsp;<code>application/json-seq</code>&nbsp;<a href="https://doi.org/10.17487/RFC7464">JSON text sequence</a>&nbsp;stream</li> <li>Save the JSON stream as a single compressed file using&nbsp;<code>xz</code></li> </ul>

openapache2.0Nov 2019View details →
zenodo32/100

Supplementary material 1 from: Bannikova AA, Jenkins PD, Solovyeva EN, Pavlova SV, Demidova TB, Simanovsky SA, Sheftel BI, Lebedev VS, Fang Y, Dalen L, Abramov AV (2019) Who are you, Griselda? A replacement name for a new genus of the Asiatic short-tailed shrews (Mammalia, Eulipotyphla, Soricidae): molecular and morphological analyses with the discussion of tribal affinities. ZooKeys 888: 133-158. https://doi.org/10.3897/zookeys.888.37982

: Explanation note: Figure S1. The phylogenetic relationships in Blarinella as reconstructed in MrBayes based on the extended alignment of cytb. Figure S2. The phylogenetic relationships in Blarinella as reconstructed in MrBayes based on the alignment of ApoB. Table S1. GenBank accession numbers of sequences retrieved from GenBank and newly collected sequences used in the study (marked in bold). Table S2. Primers for cytb amplification and sequencing. Table S3. The best-fit substitution models employed for each of the five partitions found by IQTREE.

opencc-zeroNov 2019View details →
zenodo32/100

Data deposition for Wu et al., PNAS 2019.

<p>Data deposition for Wu et al., PNAS 2019.</p>

opencc-by-4.0Dec 2018View details →
zenodo32/100

Supplementary material 1 from: Bowser ML, Burr SJ, Davis I, Dubois GD, Graham EE, Moan JE, Swenson SW (2019) A test of metabarcoding for Early Detection and Rapid Response monitoring for non-native forest pest beetles (Coleoptera). Research Ideas and Outcomes 5: e48536. https://doi.org/10.3897/rio.5.e48536

This file contains the specimen data from the original trap samples, morphological identifications, molecular identifications, and resulting occurrence data.

opencc-zeroDec 2019View details →
zenodo32/100

Fig. 2 in Eublemma baccatrix Hacker, 2019 (Lepidoptera: Erebidae: Boletobiinae: Eublemmini), new for the Iberian Peninsula and Europe Eublemma baccatrix Hacker, 2019 (Lepidoptera: Erebidae: Boletobiinae: Eublemmini), nueva para la península ibérica y Europa

Fig. 2.- Macho de Eublemma baccatrix, Casa Athene, Vejer de la Frontera, Cádiz, 4-11-2022. Foto: Stephen Knapp.

opennotspecifiedDec 2022View details →
zenodo32/100

Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506

<p>Data for: Palma, N. and Reis, J. (2019). From convergence to divergence: Portuguese economic growth, 1527-1850. Journal of Economic History 79 (2): 477-506&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Fig. 3. Cionus anatolicus, new species. A in Two Species of Cionus Clairville (Coleoptera: Curculionidae) New for Turkey, Cionus anatolicus, New Species and Cionus dodeki Košťál and Caldara, 2019

Fig. 3. Cionus anatolicus, new species. A) Holotype, lateral view, B) Male rostrum, dorsal view, C) Female rostrum, dorsal view, D) Male rostrum, lateral view, E) Female rostrum, lateral view.

opennotspecifiedDec 2021View details →
zenodo32/100

Fig. 4 in Two Species of Cionus Clairville (Coleoptera: Curculionidae) New for Turkey, Cionus anatolicus, New Species and Cionus dodeki Košťál and Caldara, 2019

Fig. 4. Cionus anatolicus, new species. Male genitalia and terminalia: A–C) Penis, dorsal and lateral view, D) Spiculum gastrale and pygidium. Female genitalia and terminalia: E) Tergites VII–VIII, F) Spiculum ventrale, G) Gonocoxites, H) Spermatheca.

opennotspecifiedDec 2021View details →
zenodo32/100

early exports: 2019, Nov 11

all trait data exports from 2019

opennotspecifiedAug 2024View details →
zenodo32/100

early exports: 2019, August 22

all trait data exports from 2019

opennotspecifiedAug 2024View details →
zenodo32/100

Water, energy and carbon fluxes and ancillary meteorological and remote sensing measurements at Encanto Golf Course, Phoenix, Arizona during 2019-2020

<p>Water, energy and carbon fluxes as wells as ancillary meteorological and NDVI measurements from the Encanto Park Golf Course in Phoenix, AZ. Measurements were done from March 2019 to March 2020.</p> <p>The database includes three files:</p> <ul> <li>Encanto_AZMET.xlsx, that include hourly values and daily average meteorological variables (T<sub>air</sub>, RH, VPD, R<sub>s</sub>, T<sub>soil</sub>, etc.) obtained from the Phoenix Encanto meteorological station of The Arizona Meteorological Network (AZMET). Please refer to https://cals.arizona.edu/AZMET/15.htm and the spreadsheet ReadMe within the excel file for additional information.</li> <li>Encanto_EddyCovariance.xlsx includes the half-hour water, energy and carbon fluxes obtained using an eddy covariance (EC) system. The file also includes half-hour ancillary meteorological and soil measurements obtained from the EC tower. Water, energy and carbon fluxes were processed using the software EddyPro 7.0. For more information, please refer to Vivoni <em>et al</em> (2020). Note: This new version includes Eddy Covariance and Met data up to July, 2020.</li> <li>Encanto_NDVI.xlsx includes the average NDVI for the net radiometer footprint installed in the EC tower. NDVI was obtained from 4-band PlanetScope scene images obtained from Planet website (www.planet.com). For more information, please refer to Vivoni <em>et al</em> (2020).</li> </ul> <p>The use of the datasets requires the citation of the next paper:</p> <ul> <li>Vivoni, E. R., Kindler, M., Wang, Z., and Perez-Ruiz, E. R. 2020.Abiotic Mechanisms Drive Enhanced Evaporative Losses under Urban Oasis Conditions . <em>Geophysical Research Letters</em>. 47: e2020GL090123. <a href="https://doi.org/10.1029/2020GL090123">https://doi.org/10.1029/2020GL090123</a></li> </ul>

opencc-by-4.0May 2020View details →
zenodo32/100

Anais XI Encontro Nacional de Estudantes de Secretariado 2019

<p>Anais do XI Encontro Nacional de Estudantes de Secretariado, realizado no Instituto Federal de Bras&iacute;lia, Campus S&atilde;o Sebasti&atilde;o em Bras&iacute;lia (DF) &ndash; 10 a 12 de julho de 2019. IFB. v. 01, n. 01, p. 126. 2019.&nbsp;ISSN 2316-4352</p>

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

WRF-Chem model results for 2019-2020 Australian wildfires and Python scripts

<p>WRF-Chem model simulation results in the control experiment&nbsp;and Python scripts</p>

opencc-by-4.0Nov 2023View details →
zenodo32/100

Supplementary Data for Bayesian material flow analysis of the construction aggregate cycle in England (2019)

<p>Supplementary Data for Bayesian material flow analysis of the construction aggregate cycle in England (2019) by&nbsp;</p> <p><span>Adam R. Mason <sup>1,a</sup>, Tom Bide <sup>2,b</sup>, Junyang Wang <sup>3,c</sup>, John Morley <sup>4,d</sup>, Mohit Arora <sup>5,e</sup>, Alperen Yayla<sup>1,f</sup>, Julia A. Stegemann <sup>5,g</sup>, Rupert J. Myers <sup>1,h,*</sup></span></p> <p><span>&nbsp;</span></p> <p><sup><span>1</span></sup><span> Department of Civil and Environmental Engineering, Imperial College London, UK</span></p> <p><sup><span>2</span></sup><span> British Geological Survey, UK</span></p> <p><sup><span>3 </span></sup><span>Department of Mathematics, Imperial College London, UK</span></p> <p><sup><span>4</span></sup><sub><span> </span></sub><span>Department of Earth Science and Engineering, Imperial College London, UK</span></p> <p><sup><span>5</span></sup><span> School of Engineering, King&rsquo;s College London, UK</span></p> <p><sup><span>6</span></sup><span> Department of Civil, Environmental and Geomatic Engineering, University College London, UK</span></p> <p><span>&nbsp;</span></p> <p><span>Author e-mails: <sup>a </sup></span><a href="mailto:a.mason19@imperial.ac.uk"><span>a.mason19@imperial.ac.uk</span></a><span>,<sup> b </sup></span><a href="mailto:tode@bgs.ac.uk"><span>tode@bgs.ac.uk</span></a><span>,<sup> c </sup></span><a href="mailto:junyang.wang21@imperial.ac.uk"><span>junyang.wang21@imperial.ac.uk</span></a><span>,<sup> d </sup></span><a href="mailto:john.morley18@imperial.ac.uk"><span>john.morley18@imperial.ac.uk</span></a><span>,<sup> e </sup></span><a href="mailto:mohit.arora@kcl.ac.uk"><span>mohit.arora@kcl.ac.uk</span></a><span>,<sup> f </sup></span><a href="mailto:a.yayla22@imperial.ac.uk"><span>a.yayla22@imperial.ac.uk</span></a><span>,<sup> g </sup></span><a href="mailto:j.stegemann@ucl.ac.uk"><span>j.stegemann@ucl.ac.uk</span></a><span>; *corresponding author:<sup> h</sup> </span><a href="mailto:r.myers@imperial.ac.uk"><span>r.myers@imperial.ac.uk</span></a></p> <p>&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

Gridded Palmer Drought Severity Idex (PDSI) for Rondônia - Brazil, from 1981 to 2019

<p>Monthly gridded Palmer Drought Severity Index (PDSI) over Rond&ocirc;nia using available water holding capacity</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

FIGURE 9 in Two new species of Torunotum Hosseini & Cassis 2019 (Hemiptera: Miridae: Deraeocorinae: Hyaliodini) from New Caledonia

FIGURE 9. Torunotum hirsutum Gierlasiński &amp; Taszakowski sp. nov., male genitalia. Pygophore (A), aedeagus (B), left paramere shown from different angles to highlight details in structure (C–F), and right paramere (G).

opennotspecifiedSep 2024View details →
zenodo32/100

FIGURE 8 in Two new species of Torunotum Hosseini & Cassis 2019 (Hemiptera: Miridae: Deraeocorinae: Hyaliodini) from New Caledonia

FIGURE 8. Torunotum hirsutum Gierlasiński &amp; Taszakowski sp. nov., holotype, male, SEM micrographs. Head in lateral (A) and dorsal view (B), peritreme and evaporative area (C), hind tarsus (D), the pretarsal structure of the hind leg (E), the middle part of the body in lateral view (F), part of pronotum (G), flagellum (H) and apical part of the pedicel (I).

opennotspecifiedSep 2024View details →

ScienceDex guides

Understand access before you commit

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

Compare curated datasets

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.