cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28v5q1
title: CCDC 2110533: Experimental Crystal Structure Determination

description: Related Article: Chi Yang, Fei Li, Tian-Rui Wu, Ru Cui, Bing-Bing Wu, Ruo-Xing Jin, Yan Li, Xi-Sheng Wang|2021|Org.Lett.|23|8132|doi:10.1021/acs.orglett.1c02692
DOI: 10.5517/ccdc.csd.cc28vmzr
title: CCDC 2110975: Experimental Crystal Structure Determination

description: Related Article: Felix Feige, Jeen Al-Issa, Julius F. Kögel, Enno Lork, Elena Rychagova, Sergey Ketkov, Jens Beckmann|2021|Eur.J.Inorg.Chem.|2021|4402|doi:10.1002/ejic.202100823
DOI: 10.5517/ccdc.csd.cc28vn0t
title: CCDC 2110976: Experimental Crystal Structure Determination

description: Related Article: Felix Feige, Jeen Al-Issa, Julius F. Kögel, Enno Lork, Elena Rychagova, Sergey Ketkov, Jens Beckmann|2021|Eur.J.Inorg.Chem.|2021|4402|doi:10.1002/ejic.202100823
DOI: 10.5517/ccdc.csd.cc28vn1v
title: CCDC 2110977: Experimental Crystal Structure Determination

description: Related Article: Felix Feige, Jeen Al-Issa, Julius F. Kögel, Enno Lork, Elena Rychagova, Sergey Ketkov, Jens Beckmann|2021|Eur.J.Inorg.Chem.|2021|4402|doi:10.1002/ejic.202100823
DOI: 10.5517/ccdc.csd.cc28vn2w
title: CCDC 2110978: Experimental Crystal Structure Determination

description: Related Article: Felix Feige, Jeen Al-Issa, Julius F. Kögel, Enno Lork, Elena Rychagova, Sergey Ketkov, Jens Beckmann|2021|Eur.J.Inorg.Chem.|2021|4402|doi:10.1002/ejic.202100823
DOI: 10.5517/ccdc.csd.cc28vx9c
title: CCDC 2111233: Experimental Crystal Structure Determination

description: Related Article: Yoshiya Sekiguchi, Naohiko Yoshikai|2021|J.Am.Chem.Soc.|143|18400|doi:10.1021/jacs.1c10109
DOI: 10.5281/zenodo.5282929
title: FAIREST Metrics and Assessment Data

description: This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”. In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars: (1) an analysis of established features and functionalities, drawn from existing solutions, <br> (2) a literature review on general requirements for digital repositories for research artefacts and related systems. We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed: The solutions are: ResearchGate Academia.edu Zenodo arXiv Bibsonomy Figshare CKAN DSpace Invenio Dataverse EPrints <strong>Overview of the data:</strong> <em>01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx</em><br> This Excel file includes both the assessment metrics and the results for the 11 solutions <em>02 FAIREST Assessment Metrics.csv</em><br> The assessment metrics as CSV <em>XX FAIREST Assessment XXX.csv</em><br> Assessment result for the respective solution <em>14 FAIREST Assessment Template.xlsx</em><br> A template to apply the metrics to an individual solution<br> Note: Fill in your assessment in column F and get the result at the bottom of the sheet
description: This research was supported by the Fundação para a Ciência e a Tecnologia through the LASIGE Research Unit, UIDB/00408/2020 and UIDP/00408/2020. This work was supported by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII12 ("Deutsches Internet-Institut").
DOI: 10.5281/zenodo.5282928
title: FAIREST Metrics and Assessment Data

description: This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”. In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars: (1) an analysis of established features and functionalities, drawn from existing solutions, <br> (2) a literature review on general requirements for digital repositories for research artefacts and related systems. We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed: The solutions are: ResearchGate Academia.edu Zenodo arXiv Bibsonomy Figshare CKAN DSpace Invenio Dataverse EPrints <strong>Overview of the data:</strong> <em>01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx</em><br> This Excel file includes both the assessment metrics and the results for the 11 solutions <em>02 FAIREST Assessment Metrics.csv</em><br> The assessment metrics as CSV <em>XX FAIREST Assessment XXX.csv</em><br> Assessment result for the respective solution <em>14 FAIREST Assessment Template.xlsx</em><br> A template to apply the metrics to an individual solution<br> Note: Fill in your assessment in column F and get the result at the bottom of the sheet
description: This research was supported by the Fundação para a Ciência e a Tecnologia through the LASIGE Research Unit, UIDB/00408/2020 and UIDP/00408/2020. This work was supported by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII12 ("Deutsches Internet-Institut").
DOI: 10.5281/zenodo.5700530
title: msd-errors - Data for AgCrSe2 figures

description: Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.5281/zenodo.5700531
title: msd-errors - Data for the LLZO figure

description: Results of the diffusion analysis of the LLZO simulations.<br><br>Created using showyourwork from this GitHub repo.
DOI: 10.6084/m9.figshare.17008216.v1
title: raw_data_of_morphology-deformability-PS.opju

description: Data comprises deformability (measured by ektacytometry), morphology (whole blood count) and phosphatidylserine exposure (by flow cytometry) levels of red blood cells acquired from two mice models: ApoE/LDLR double deficient and C57BL/6J. The results are part of the manuscript entitled "Sex-specific differences of ATP levels in red blood cells isolated from ApoE/LDLR double-deficient mice" with aim to correlate ATP level differences with mechanical, biochemical and morphological RBC parameters. <br>
DOI: 10.6084/m9.figshare.17008216
title: raw_data_of_morphology-deformability-PS.opju

description: Data comprises deformability (measured by ektacytometry), morphology (whole blood count) and phosphatidylserine exposure (by flow cytometry) levels of red blood cells acquired from two mice models: ApoE/LDLR double deficient and C57BL/6J. The results are part of the manuscript entitled "Sex-specific differences of ATP levels in red blood cells isolated from ApoE/LDLR double-deficient mice" with aim to correlate ATP level differences with mechanical, biochemical and morphological RBC parameters. <br>
DOI: 10.5281/zenodo.5700565
title: Verification of ORM-based Controllers by Summary Inference

description: The folder structure in icse2022-subm-data-1008-orm-verification is as follows: ControllerVerificationData contains results corresponding to Section 5.2 of<br> the paper. The folder hierarchy within this is: benchmark name -&gt; Controller class name -&gt; "Alloy" -&gt; a .als file (i.e., Alloy model/summary generated by our tool)<br> corresponding to each controller method, with assertions added<br> manually in all cases were they were expressible. "Output" -&gt; outputs from Alloy for the assertions. multipage-data contains results corresponding to Section 5.3 of the paper. "properties" -&gt; each .txt file contains a property (basically, a \psi as in Section<br> 3.1 in the paper), written by us, in Alloy form. (For "Unexpressed"<br> properties, we wrote a dummy property.) "toCheck" -&gt; a property number -&gt; Generated Alloy files for this property (one Alloy file for Property<br> (A) and one each for Property (I), see Section 3.1 in the paper) A .txt file for each Alloy file, containing Alloy checker's output. "summary.txt" contains a summary of all the information above Mutation-Analysis contains results corresponding to Section 5.5 of the<br> paper. Each leaf level folder under this contains: Alloy file generated for a mutated version of the benchmark, with<br> assertions added manually. The description of the mutation (in the .desc file) A .out file containing output from the Alloy checker for the assertions<br> in the .als file. JPF contains results corresponding to Section 5.6 of the paper. Each leaf-level folder contains results pertaining to one of the 16<br> assertions. The .java file contains a driver that initializes the tables,<br> calls the controller, and checks the assertion. The .jpf file is required<br> by JPF, and the .out file shows the JPF output. The structure of folder src/ is as follows:<br> -ControllerSummaryInference-src: Code for inferring relational-algebraic summaries of Spring-based web applications and alloy translation.<br> -multipage-src: Code for checking trace properties.<br> The file other-details.pdf contains syntax directed rules as well as loop patterns in tool which form the approach to infer relational summaries from ORM controllers.
DOI: 10.5281/zenodo.5428995
title: Verification of ORM-based Controllers by Summary Inference

description: The folder structure in icse2022-subm-data-1008-orm-verification is as follows: ControllerVerificationData contains results corresponding to Section 5.2 of<br> the paper. The folder hierarchy within this is: benchmark name -&gt; Controller class name -&gt; "Alloy" -&gt; a .als file (i.e., Alloy model/summary generated by our tool)<br> corresponding to each controller method, with assertions added<br> manually in all cases were they were expressible. "Output" -&gt; outputs from Alloy for the assertions. multipage-data contains results corresponding to Section 5.3 of the paper. "properties" -&gt; each .txt file contains a property (basically, a \psi as in Section<br> 3.1 in the paper), written by us, in Alloy form. (For "Unexpressed"<br> properties, we wrote a dummy property.) "toCheck" -&gt; a property number -&gt; Generated Alloy files for this property (one Alloy file for Property<br> (A) and one each for Property (I), see Section 3.1 in the paper) A .txt file for each Alloy file, containing Alloy checker's output. "summary.txt" contains a summary of all the information above Mutation-Analysis contains results corresponding to Section 5.5 of the<br> paper. Each leaf level folder under this contains: Alloy file generated for a mutated version of the benchmark, with<br> assertions added manually. The description of the mutation (in the .desc file) A .out file containing output from the Alloy checker for the assertions<br> in the .als file. JPF contains results corresponding to Section 5.6 of the paper. Each leaf-level folder contains results pertaining to one of the 16<br> assertions. The .java file contains a driver that initializes the tables,<br> calls the controller, and checks the assertion. The .jpf file is required<br> by JPF, and the .out file shows the JPF output. The structure of folder src/ is as follows:<br> -ControllerSummaryInference-src: Code for inferring relational-algebraic summaries of Spring-based web applications and alloy translation.<br> -multipage-src: Code for checking trace properties.<br> The file other-details.pdf contains syntax directed rules as well as loop patterns in tool which form the approach to infer relational summaries from ORM controllers.
DOI: 10.6084/m9.figshare.13436201.v2
title: Ruivães Ferns 14:40 - Hyperspectral Radiance Image

description: Hyperspectral radiance data. The zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, size 1024 × 1344 × 33, and spectral radiance in W m<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The image is one of a pair of images acquired at different times. The zipped file also contains a BMP colour image, rendered from the radiance image, and an information document, which includes geographic location. The separate JPG image of the scene is for illustration only. Padding artefacts may be visible at the image edges. The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.
DOI: 10.5517/ccdc.csd.cc26nvpf
title: CCDC 2045835: Experimental Crystal Structure Determination

description: Related Article: Dan-Dan Du, Xin-Xin Wang, Yuan-Yuan Ma, Ning Ren, Jian-Jun Zhang|2021|Thermochim.Acta|706|179080|doi:10.1016/j.tca.2021.179080
DOI: 10.5517/ccdc.csd.cc26nvrh
title: CCDC 2045837: Experimental Crystal Structure Determination

description: Related Article: Dan-Dan Du, Xin-Xin Wang, Yuan-Yuan Ma, Ning Ren, Jian-Jun Zhang|2021|Thermochim.Acta|706|179080|doi:10.1016/j.tca.2021.179080
DOI: 10.5517/ccdc.csd.cc28m8v1
title: CCDC 2103903: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Dilip K. Pandey, James M. Gallagher, James Osborne, Robert R. Fayzullin, Eugene Khaskin, Julia R. Khusnutdinova|2021|Organometallics|40|3617|doi:10.1021/acs.organomet.1c00488
DOI: 10.5517/ccdc.csd.cc28yf4t
title: CCDC 2113646: Experimental Crystal Structure Determination

description: Related Article: Zhao-Yang Liu, Ruo-Ming Tong, Xin Chen, Yu-Teng Zhang|2022|Polyhedron|211|115546|doi:10.1016/j.poly.2021.115546
DOI: 10.6084/m9.figshare.17008363
title: DATA.sav

description: This is the raw data collected through the Tencent questionnaire (a Chinese questionnaire collection tool) at the time of the experiment.
DOI: 10.5281/zenodo.5017471
title: Isca model data for Flex-UM manuscript (Maher and Earnshaw 2021)

description: This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). The single data file, IscaSlabOcean.nc, contains a slab ocean Isca simulation using the Frierson default set-up. The Flex-UM and GA7.0 data for this manuscript are available at https://doi.org/10.5281/zenodo.5700372 The python postprocessing and plotting routines for this manuscript are available at https://doi.org/10.5281/zenodo.5700633
DOI: 10.5281/zenodo.5017470
title: Isca model data for Flex-UM manuscript (Maher and Earnshaw 2021)

description: This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). The single data file, IscaSlabOcean.nc, contains a slab ocean Isca simulation using the Frierson default set-up. The Flex-UM and GA7.0 data for this manuscript are available at https://doi.org/10.5281/zenodo.5700372 The python postprocessing and plotting routines for this manuscript are available at https://doi.org/10.5281/zenodo.5700633
DOI: 10.6084/m9.figshare.13436216.v2
title: Ruivães Ferns 14:50 - Hyperspectral Radiance Image

description: Hyperspectral radiance data. The zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, size 1024 × 1344 × 33, and spectral radiance in W m<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The image is one of a pair of images acquired at different times. The zipped file also contains a BMP colour image, rendered from the radiance image, and an information document, which includes geographic location. The separate JPG image of the scene is for illustration only. Padding artefacts may be visible at the image edges. The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.
DOI: 10.5281/zenodo.5700372
title: Flex-UM and GA7.0 data for Flex-UM manuscript (Maher and Earnshaw 2021)

description: This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). This archive contains the following 5 files: flexum_fixed.zip flexum_slab.zip ga7_fixed_sst.zip ga7_slab.zip sst_model_data_all_exp.zip The first four zip files contain data from each model. The final zip file (sst_model_data_all_exp.zip) was added following review of the paper and contains the sea surface temperature data for each model. The Isca data for this manuscript is available at https://doi.org/10.5281/zenodo.5017471 The python post-processing and plotting routines for this manuscript are available at https://doi.org/10.5281/zenodo.5700633 The accompanying data is made available under the terms of the Non-Commercial Government Licence. Crown Copyright, Met Office
DOI: 10.5281/zenodo.5051873
title: Flex-UM and GA7.0 data for Flex-UM manuscript (Maher and Earnshaw 2021)

description: This archive contains the model output generated for the manuscript Maher and Earnshaw (2021). This archive contains the following 5 files: flexum_fixed.zip flexum_slab.zip ga7_fixed_sst.zip ga7_slab.zip sst_model_data_all_exp.zip The first four zip files contain data from each model. The final zip file (sst_model_data_all_exp.zip) was added following review of the paper and contains the sea surface temperature data for each model. The Isca data for this manuscript is available at https://doi.org/10.5281/zenodo.5017471 The python post-processing and plotting routines for this manuscript are available at https://doi.org/10.5281/zenodo.5700633 The accompanying data is made available under the terms of the Non-Commercial Government Licence. Crown Copyright, Met Office
DOI: 10.25646/9274
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.34740/kaggle/dsv/2811195
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25919/5f294c6caee97
title: 3D microstructure of Sichuan Basin Longmaxi shale samples

description: This data set is a collection of multi-energy X-ray CT data and DCM generated 3D compositional microstructural data and 3D pore-organic clusters data for three Sichuan Basin Longmaxi shale samples. The compositions are comprised of pore-organics, heavy minerals and light minerals.
DOI: 10.34740/kaggle/dsv/2811221
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5700906
title: Reference Data for "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane"

description: Reference data set for the single molecule co-tracking analysis presented in "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane". Corresponding author for further inquiries: Prof. Dr. Jacob Piehler University of Osnabrück, Department of Biology/Chemistry, Division of Biophysics, Barbarastr. 11, 49076 Osnabrück, Germany https://www.biophysik.uni-osnabrueck.de/
DOI: 10.5281/zenodo.5699785
title: IRNSS/NavIC L5 and S-band raw intermediate frequency signal

description: This dataset is used for development of NavIC software receiver. Sampling Frequency: 4 MHz Intermediate Frequency: 0 MHz Data type: INT16 Data format: IQ Carrier frequency: L5 1176.45 MHz; S 2492.028 MHz
DOI: 10.5281/zenodo.5699784
title: IRNSS/NavIC L5 and S-band raw intermediate frequency signal

description: This dataset is used for development of NavIC software receiver. Sampling Frequency: 4 MHz Intermediate Frequency: 0 MHz Data type: INT16 Data format: IQ Carrier frequency: L5 1176.45 MHz; S 2492.028 MHz
DOI: 10.6084/m9.figshare.14585976.v6
title: De novo Production of glycyrrhetic acid 3-O-mono-β-D-glucuronide in Saccharomyces cerevisiae

description: Supplementary Material <br>
DOI: 10.6084/m9.figshare.14585976.v5
title: De novo Production of glycyrrhetic acid 3-O-mono-β-D-glucuronide in Saccharomyces cerevisiae

description: Supplementary Material <br>
DOI: 10.5281/zenodo.5700905
title: Longipedia americana SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5700904
title: Longipedia americana SPAdes preassembly

description: .
DOI: 10.5517/ccdc.csd.cc293l78
title: CCDC 2118609: Experimental Crystal Structure Determination

description: Related Article: Karishma Agarwal, Kratika Gupta, Kriti Sharma, Sonu Khanka, Shilpi Singh, Jyoti Singh, Laxmikant Trivedi, Prema G.Vasdev, Suaib Luqman, Feroz Khan, Divya Singh, Atul Gupta|2021|Bioorg.Med.Chem.Lett.|50|128340|doi:10.1016/j.bmcl.2021.128340
DOI: 10.5517/ccdc.csd.cc293l89
title: CCDC 2118610: Experimental Crystal Structure Determination

description: Related Article: Karishma Agarwal, Kratika Gupta, Kriti Sharma, Sonu Khanka, Shilpi Singh, Jyoti Singh, Laxmikant Trivedi, Prema G.Vasdev, Suaib Luqman, Feroz Khan, Divya Singh, Atul Gupta|2021|Bioorg.Med.Chem.Lett.|50|128340|doi:10.1016/j.bmcl.2021.128340
DOI: 10.5281/zenodo.5700932
title: Geodetic mass balance of glaciers in the Manaslu region of Nepal 1970 - 2013

description: Dataset of the geodetic mass balance and surface elevation changes for the period 1970-2013 for glaciers in the Manaslu area of the Nepal Himalaya. Mean geodetic mass balances are computed from a 1970 DEM generated from CoronaKH4 imagery and 2013 HMA DEM elevations. Analysis was done at 8m spatial resolution. Data formats: Data are provided in two formats: 1) shapefile format showing the 1970 glacier outlines for 136 glaciers with valid coverage with a GLIMS ID and mean geodetic mass balance attributes, structured as follows: [POINT_X]: Longitude of the glacier polygon centroid [POINT_Y]: Latitude of the glacier polygon centroid [GLIMSID]: ID of each polygon, generated from the lat long coordinates as per GLIMS standard guidelines [src_image]: image source [src_date]: date of the imagery dh_ma-1: surface elevation change [meters per year] bn_m_weq: geodetic mass balance [ m water equivalent per year] err_dh_ma-1: error term for surface elevation change [meters per year] err_bn : error term for the geodetic mass balance [meters water equivalent per year] area_m2: area of each glacier polygon in m2 area_km2: area of each polygon in km2 line_type: types of glacier (clean/debris covered) analysis_yr: year of analysis 2) excel file containing glacier GLIMS ID, mean elevation change and mean mass balance Coordinate system: UTM datum WGS84 zone 45N
DOI: 10.5281/zenodo.5680659
title: Geodetic mass balance of glaciers in the Manaslu region of Nepal 1970 - 2013

description: Dataset of the geodetic mass balance and surface elevation changes for the period 1970-2013 for glaciers in the Manaslu area of the Nepal Himalaya. Mean geodetic mass balances are computed from a 1970 DEM generated from CoronaKH4 imagery and 2013 HMA DEM elevations. Analysis was done at 8m spatial resolution. Data formats: Data are provided in two formats: 1) shapefile format showing the 1970 glacier outlines for 136 glaciers with valid coverage with a GLIMS ID and mean geodetic mass balance attributes, structured as follows: [POINT_X]: Longitude of the glacier polygon centroid [POINT_Y]: Latitude of the glacier polygon centroid [GLIMSID]: ID of each polygon, generated from the lat long coordinates as per GLIMS standard guidelines [src_image]: image source [src_date]: date of the imagery dh_ma-1: surface elevation change [meters per year] bn_m_weq: geodetic mass balance [ m water equivalent per year] err_dh_ma-1: error term for surface elevation change [meters per year] err_bn : error term for the geodetic mass balance [meters water equivalent per year] area_m2: area of each glacier polygon in m2 area_km2: area of each polygon in km2 line_type: types of glacier (clean/debris covered) analysis_yr: year of analysis 2) excel file containing glacier GLIMS ID, mean elevation change and mean mass balance Coordinate system: UTM datum WGS84 zone 45N