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253 results for “data publishing”

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zenodo24/100

Source Data File for "Magnetocaloric Effect of Topological Excitations in Kitaev Magnets" published in Nat. Commun.

<table> <tbody> <tr> <td> <p><span>&ldquo;Source Data.xlsx&rdquo; for manuscript "</span>Magnetocaloric Effect of Topological Excitations in Kitaev Magnets"<span> is provided. Here is the title and a brief description for the data:</span></p> <p>&nbsp;</p> <p><span>Sheet 1: Fig1bcd(gh)</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig1.b-d. The data could also be used in generating Fig1.gh.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 2: Fig1e</span></p> <p><span>Description: The data to generate Fig.1e. The rows starting with Gamma_B represent the Gruneisen parameter; while the rows starting with B indicate the magnetic fields. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 3: Fig1f</span></p> <p><span>Description: The data to generate Fig.1f. The rows starting with T represent the temperature; while the rows starting with chi indicate the magnetic susceptibility. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 4: Fig1gh</span></p> <p><span>Description: The data to generate Fig.1gh. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 5: Fig2ab</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2a. These data also include the portion used to generate Fig.2b.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 6: Fig2cd</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2c. These data also include the portion used to generate Fig.2d.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 7: Fig3ab</span></p> <p><span>Description: The data to generate Fig.3ab. The rows starting with T represent the temperature; rows starting with Cm represent the specific heat; rows starting with Wp represent the expectation value of flux operator; while the rows starting with S/ln2 indicate the thermal entropy. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 8: Fig3c</span></p> <p><span>Description: The data to generate Fig.3c. The rows starting with T represent the temperature; while the rows starting with S1(omega=0) indicate the estimate of relaxation rate. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 9: Fig3d</span></p> <p><span>Description: The data to generate the landscape of Fig.3d. The columns starting with kx/pi and ky/pi represent the q-points in momentum space; while the columns starting with S(q) and S_tr(q) indicate the data of spin structure factors. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 10: Fig3e</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of specific heat as shown in Fig.3e</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 11: Fig4a</span></p> <p><span>Description: The data to generate Fig.4a. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 12: Fig4c</span></p> <p><span>Description: The data to generate Fig.4c. The rows starting with Ti represent the initial temperature; while the rows starting with Tf indicate the final reached temperature. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 13: Fig4d</span></p> <p><span>Description: The data to generate Fig.4d. The rows starting with T tilde represent the rescaled temperature; while the rows starting with S/ln(2s+1) indicate the renormalized entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>&nbsp;</span></p> <p><span>&nbsp;</span></p> </td> </tr> </tbody> </table>

opencdla-permissive-1.0Jul 2024View details →
zenodo24/100

Figure 2 from: Kress W, Knapp S, Stoev P, Penev L (2012) On the front line of modern data-management and Open Access publishing: Two years of PhytoKeys – the fastest growing journal in plant systematics. PhytoKeys 19: 1-8. https://doi.org/10.3897/phytokeys.19.4501

Figure 2 - Taxonomic distribution by family of the published nomenclatural novelties in PhytoKeys.

opencc-by-4.0Dec 2012View details →
dryad24/100

Data from: Comparison of methodological quality of positive versus negative comparative studies published in Indian medical journals: a systematic review

Open the record for dataset details and reuse information.

publicJun 2015View details →
geo24/100

Validation of THS-seq method, and comparison of published ENCODE DNase-seq data, self-generated ATAC-seq data and published ATAC-seq data, and THS-seq data for quantitation of chromatin accessibility.

GEO Series GSE72089. Homo sapiens. 11 samples. Type: Third-party reanalysis; Other; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJan 2016View details →
zenodo20/100

Digitized, corrected and supplemented data on net zooplankton of the Far East seas and adjacent Pacific Ocean waters from five rare reference books published in Russian in limited editions

<p>Data on plankton collected by the Juday net in 1984-2013 in the Far Eastern seas and the north-western Pacific containing the species composition, occurrence and abundance of zooplankton in the surveyed area. The data is aggregated by species, developmental stages, size fractions, regions, vertical layers of water, light and dark time of day, four seasons of the year and perennial periods. It is accompanied shape-files with polygons of the regions by which data is summarized with information about surface areas and water volumes in each of them. The scope of application of this data is fundamental to the management of marine resources, aquaculture development, nature conservation, and assessment of the damage of various anthropogenic factors on nature.</p>

restrictedJan 2021View details →
zenodo20/100

Figure 10 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 10 - Data extraction and re-publishing workflow of the Advanced Books platform

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 6 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 6 - Data and metatada import into manuscripts in ARPHA Writing Tool.

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 5 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 5 - Integrated data and narrative publishing in the ARPHA-XML journal workflow.

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 3 from: Penev L, Georgiev T, Geshev P, Demirov S, Senderov V, Kuzmova I, Kostadinova I, Peneva S, Stoev P (2017) ARPHA-BioDiv: A toolbox for scholarly publication and dissemination of biodiversity data based on the ARPHA Publishing Platform. Research Ideas and Outcomes 3: e13088. https://doi.org/10.3897/rio.3.e13088

Figure 3 - Article formats available in ARPHA Writing Tool.

opencc-by-4.0Apr 2017View details →
zenodo20/100

Figure 4 in Karyotypes of water scavenger beetles (Coleoptera: Hydrophilidae): new data and review of published records

Figure 4. Mitotic karyotypes of Hydrobius. A–C, Hydrobius fuscipes, testes. D, Hydrobius arcticus, midgut. E, Hydrobius rottenbergii, testes. F–H, Hydrobius subrotundus (F, midgut; G–H, testes). I, Hydrobius pui, testes. A, D–I, without treatment. B, C, C-banded. J, habitus of Hydrobius fuscipes.

opennotspecifiedJun 2021View details →
zenodo20/100

Figure 7 in Karyotypes of water scavenger beetles (Coleoptera: Hydrophilidae): new data and review of published records

Figure 7. Mitotic karyotypes of Chaetarthriinae from the midgut. A–C: Anacaena: (A) Anacaena gaetanae; (B–C) Anacaena lutescens (B, sexually reproducing specimen; C, parthenogenetic female). E–J, Horelophus walkeri. L, Chaetarthria simillima. A, C-banded; B, C, E–J, L, without treatment. Habitus figures: (D) karyotyped voucher of Anacaena gaetanae; (K) Horelophus walkeri, from Fikáček et al. (2012a); (M) Chaetarthria seminulum, from Fikáček &amp; Liu (2019).

opennotspecifiedJun 2021View details →
nasa20/100

Comet Data Compilations from Published Sources

The collections in this archive contain results that have been reported in the literature, or in some cases made available by private communication, for various comet properties. Individual collections focus on one or several closely related properties or targets of high interest.

restrictedus-pdApr 2025View details →
zenodo12/100

Data for experiments published in: "Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision"

Open the record for dataset details and reuse information.

restrictedcc-by-4.0May 2024View 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

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.