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.

586

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

586 results for “March”

Learn how ShareScore rates datasets ↗
dryad28/100

Data from: "Transcriptome resources for the marmot flea and plague vector, Oropsylla silantiewi" in Genomic Resources Notes accepted 1 February 2014 to 31 March 2014

This article documents the public availability of raw transcriptome sequence data, 47,882 assembled unigenes as well as their functional annotations, and 13,052 deduced ORFs (open reading frame) of a plague vector Oropsylla silantiewi.

opencc-zeroDec 2013View details →
zenodo28/100

Source contributions to two super dust storms over Northern China in March 2021 and the impact of soil moisture

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
zenodo28/100

Data for Solar Eclipse 2006 March

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Bulk geochemistry of beach sand samples, Ria de Vigo (Spain): March 2023

<p>Document compiling the geochemical results (bulk sample) of 10 beach samples collected in the Vigo Estuary, in March 2023. Analysis were carried out in IGME&rsquo;s laboratory located in Tres Cantos-Madrid. TiO2, MnO, P2O5, LREE, HRRE, As, Ba, Cu, Hf, Li, Nb, Ni, Ta, Sb and V were reported.</p> <p>&nbsp;</p> <h2>Metadata Information</h2> <table> <tbody> <tr> <td> <p><strong>Identification</strong></p> </td> </tr> <tr> <td> <p>Full Title</p> </td> <td> <p>Bulk geochemistry of beach sand samples, Ria de Vigo (Spain): March 2023</p> </td> </tr> <tr> <td> <p>Abstract</p> </td> <td> <p>Document compiling the bulk geochemical results for CRM of 10 beach sediment samples collected in the Ria de Vigo, in March 2023. The analysis were carried out in IGME&rsquo;s central laboratory, Madrid.</p> <p>&nbsp;</p> <p>Methods:</p> <p>&nbsp;</p> <p>X-Ray Fluorescence (XRF) = TiO2, MnO and P2O5.</p> <p>Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) = LREE, HRRE, As, Ba, Cu, Hf, Nb, Ni, Ta, Sb and V.</p> <p>Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES) = Li.</p> <p>&nbsp;</p> <p>Others:</p> <p>LHRR = La+Ce+Pr+Nd+Sm+Eu, HREE = Gd+Tb+Dy+Ho+Er+Tm+Yb+Lu+Y, pc = percentage, &micro;g/g = microgram/gram.</p> </td> </tr> <tr> <td> <p>Keywords</p> </td> <td> <p>Geochemistry, Marine Placers, Beach Samples, Heavy Minerals, Ria de Vigo, CRM</p> </td> </tr> <tr> <td> <p>Pilot area</p> </td> <td> <p>Ria de Vigo (Vigo Estuary)</p> </td> </tr> <tr> <td> <p>Associated resources</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Language</p> </td> <td> <p>English</p> </td> </tr> <tr> <td> <p>URL</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Categories</p> </td> <td> <p>Marine mineral resources, geology</p> </td> </tr> <tr> <td> <p><strong>Temporal reference</strong></p> </td> </tr> <tr> <td> <p>Creation date (dd.mm.yyyy)</p> </td> <td> <p>10/10/2024</p> </td> </tr> <tr> <td> <p>Revision date (dd.mm.yyyy)</p> </td> <td> <p>05/11/2024</p> </td> </tr> <tr> <td> <p><strong>Quality and validity</strong></p> </td> </tr> <tr> <td> <p>Representation type</p> </td> <td> <p>Other</p> </td> </tr> <tr> <td> <p>Format</p> </td> <td> <p>XLSX</p> </td> </tr> <tr> <td> <p>Lineage</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Spatial resolution</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Positional accuracy</p> </td> <td> <p>+/- 3 m</p> </td> </tr> <tr> <td> <p>Maintenance information</p> </td> <td> <p>/</p> </td> </tr> <tr> <td> <p>Coordinate system</p> </td> <td> <p>ETRS89 / UTM zone 29N (EPSG: 25829)</p> </td> </tr> <tr> <td> <p><strong>Constraints related to access and use</strong></p> </td> </tr> <tr> <td> <p>Use limitation</p> </td> <td> <p>Restricted</p> </td> </tr> <tr> <td> <p>Access constraint</p> </td> <td> <p>None</p> </td> </tr> <tr> <td> <p>Public/Private</p> </td> <td> <p>Public</p> </td> </tr> <tr> <td> <p><strong>Responsible organisation</strong></p> </td> </tr> <tr> <td> <p>Responsible Contact</p> </td> <td> <p>Francisco J. Gonz&aacute;lez</p> <p>fj.gonzalez@igme.es&nbsp;</p> </td> </tr> <tr> <td> <p>Responsible Party</p> </td> <td>&nbsp;IGME-CSIC</td> </tr> <tr> <td> <p><strong>Metadata on metadata</strong></p> </td> </tr> <tr> <td> <p>Contact</p> </td> <td> <p>Francisco J. Gonz&aacute;lez</p> <p>fj.gonzalez@igme.es</p> </td> </tr> <tr> <td> <p>Metadata language</p> </td> <td> <p>English</p> </td> </tr> </tbody> </table>

restrictedcc-by-4.0Nov 2024View details →
zenodo28/100

C19 Rapid Reviewers Collaboration - Publisher DataSet for COVID-19 Papers Submitted Jan 2020-March 2021

<p>A dataset from some of the publishers involved in the C19Rapid Reviewer Collaboration. The data shows volumes of submissions and time to publication for COVID-19 papers from specific journals&nbsp;taking part in the initiative&nbsp;from January 2020 until March 2021. The data was supplied by eLife, The Royal Society, Hindawi, GigaScience and CUP.</p>

opencc-by-4.0Nov 2021View details →
zenodo28/100

Microgravity data collected at Uturuncu Volcano between March 2010 and November 2018

<p>The file contains microgravity data collected between March 2010 and November 2018 in the Altiplano-Puna Volcanic complex.</p> <p>%clmn1=Benchmark Identifier</p> <p>%clmn2=Latitude in degrees</p> <p>%clmn3= Longitude in degrees</p> <p>%clmn4=gravity difference wrt to reference UBAS in muGal 3/2010</p> <p>%clmn5=uncertainty in gravity difference wrt to reference UBAS in muGal 3/2010</p> <p>%clmn6=gravity difference wrt to reference UBAS in muGal 11/2010</p> <p>%clmn7=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2010</p> <p>%clmn8=gravity difference wrt to reference UBAS in muGal 11/2011</p> <p>%clmn9=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2011</p> <p>%clmn10=gravity difference wrt to reference UBAS in muGal 3/2013</p> <p>%clmn11=uncertainty in gravity difference wrt to reference UBAS in muGal 3/2013</p> <p>%clmn12=gravity difference wrt to reference UBAS in muGal 11/2013</p> <p>%clmn13=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2013</p> <p>%clmn14=gravity difference wrt to reference UBAS in muGal 11/2018</p> <p>%clmn15=uncertainty in gravity difference wrt to reference UBAS in muGal 11/2018</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0May 2022View details →
zenodo28/100

Fig. 11 in New records of rare species in the Mediterranean Sea (March 2021)

Fig. 11: Female individual of Dalatias licha caught incidentally in the North Aegean Sea. Photo credit: Vasiliki Kousteni.

opencc-by-4.0Apr 2019View details →
zenodo28/100

Figure 8 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 8 Brassicamontana near Passo del Lupo, Monte Conero, May (left) and August (right) 2005. Photo credit: L. Maggioni/Bioversity International.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 3 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 3 Type material (stated by S. Snogerup) of Brassicarobertianavar.apenninica Cavara at G. Photo credit: Conservatoire et Jardin botaniques de la Ville de Genève.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 10 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 10 Distribution of Brassicamontana in the Northern Apennine, based on available public sources. For Tuscany, among others, Peruzzi and Bedini (2015 onwards). Green dots: records post 1950; red dots: records before 1950; yellow dot: recent observation, not confirmed by the present paper.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 7 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 7 Brassicamontana, Borgo Maggiore, San Marino, August 2014. Bottom right image shows glaucous and waxy leaves. Photo credit: L. Maggioni/Bioversity International.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 6 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 6 Herbarium specimens collected by Pampanini in San Marino. Courtesy of Museo Civico di Storia Naturale, Verona (left) and of Museo di Storia Naturale, Florence (Italy) (right).

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 1 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 1 Distribution of B.montana in Italy, based on available public sources. For Liguria, among others, Wikiplantbase #Liguria, Barberis et al. (2016 onwards). For Tuscany, among others, Peruzzi and Bedini (2015 onwards). Green dots: records post 1950; red dots: records before 1950.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 9 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 9 Brassicamontana, il Passetto, Ancona, May 2017. Photo credit: L. Maggioni/Bioversity International.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 2 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 2 Illustration of Brassicarobertianavar.apenninica, from Cavara (1890), courtesy of Biblioteca Dipartimento BiGeA – Alma Mater Studiorum – Università degli Studi di Bologna. Photo credit: A. Alessandrini.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Figure 5 from: Maggioni L, Alessandrini A (2019) The occurrence of Brassica montana Pourr. (Brassicaceae) in the Italian regions of Emilia-Romagna and Marche, and in the Republic of San Marino. Italian Botanist 7: 1-16. https://doi.org/10.3897/italianbotanist.7.31727

Figure 5 Card index for "BrassicaoleraceaL.subsp.silvestris L. (Mill.)" from the Zangheri collection, Museo Civico di Storia Naturale, Verona, Italy.

opencc-by-4.0Mar 2019View details →
zenodo28/100

Interview at Sergels Torg, Stockholm, Sweden, 22 March 2022.

<p>Regarding the Social Welfare system and suicuide among parents who have their children taken away from them.&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo28/100

Multi-instrument analysis of spatio-temporal confinement of ionospheric responses over African-Asian regions during St. Patrick's Day storm of March 2015

<p>This data set is associated with a paper submitted to Space Weather Journal (AGU). The title of the paper is &quot;Multi-instrument analysis of spatio-temporal confinement of ionospheric responses over African-Asian regions during St. Patrick&#39;s Day storm of March 2015&quot; by&nbsp;Kader, Sk Samin,&nbsp;Dashora, N. and&nbsp;Niranjan, K.,&nbsp;</p> <p>The data set consists of either *.dat or *.mat files arranged in separate folders for each figure. The data set can be used directly to plot the graphical results as presented in the above mentioned paper, upon final publication.&nbsp;</p> <p>The ZIP file includes all the folder mentioned above.</p> <p>This data set may be used for open access.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2021View details →
zenodo28/100

Ambient radioactivity data from S. Jorge island (Azores), since March 2022

<p>The island of S. Jorge, in the Azores archipelago, has been one of the quietest islands in terms of volcanic and seismic events. However, seismicity levels raised abruptly on March 19th 2022, leading to an increase in the volcanic alert level for the island. The unexpected seismic swarm lead to unprecedented monitoring efforts. In that context INESC TEC performed an emergency field campaign for measuring ambient radioactivity at S. Jorge island.</p> <p>The dataset includes measurements of soil radon gas concentration, gamma radiation, and environmental parameters (pressure and temperature) since March 31st 2022. The data was acquired at a station installed at Santo Amaro school (38.68N, -28.19W), in the Velas municipality. Radon gas is measured continuously outdoors in the soil subsurface (at a shallow depth of ~0.5m ) while gamma radiation and the environmental parameters are measured close to the radon sensor (&lt; 3 m) but indoors (inside the school). Measurements were performed originally every 1-second, and aggregated into values every 2-hours (for radon concentration) and every1-minute (for the other parameters).</p> <p>The files contain: a time stamp (yyyy-mm-dd HH:MM:SS) and the value of the corresponding parameter: Radon: radon gas concentration (Bq/m3) Gamma radiation: gamma ray counts (in counts/minute) Temperature: temperature (in deg C) Pressure: atmospheric pressure (hPa).</p>

opencc-by-4.0Dec 2022View details →
zenodo28/100

Survey I4.0 in the Marche Region (ENG translation)

<p>This is the english translation of the original dataset in Italian language containing the respondent&#39;s answers to an explorative survey on the diffusion of Industry 4.0 in the Marche Region, Italy.</p>

opencc-by-4.0Mar 2023View 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.