cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc299vr7
title: CCDC 2124639: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299vs8
title: CCDC 2124640: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299vm3
title: CCDC 2124635: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bpyrr
title: CCDC 2166055: Experimental Crystal Structure Determination

description: Related Article: Badri Z. Momeni, Sanaz Kazemzade Anari, Alaa S. Abd-El-Aziz, Jan Janczak, Zahra Shahsavari|2022|J.Inorg.Organomet.Polym.Mater.|32|4028|doi:10.1007/s10904-022-02414-w
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2brc9s
title: CCDC 2167405: Experimental Crystal Structure Determination

description: Related Article: Liam Grunwald, Martin Clémancey, Daniel Klose, Lionel Dubois, Serge Gambarelli, Gunnar Jeschke, Michael Wörle, Geneviève Blondin, Victor Mougel|2022|Proc.Nat.Acad.Sci.USA|119|e2122677119|doi:10.1073/pnas.2122677119
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7229900
title: D2.2 -Appendix E

description: Aggregated raw data material for the Scenarios Design and Lifeworld Analysis.
DOI: 10.5281/zenodo.7229899
title: D2.2 -Appendix E

description: Aggregated raw data material for the Scenarios Design and Lifeworld Analysis.
DOI: 10.5281/zenodo.7229876
title: KMR_Gravar_20220816

description: Reworked dataset where information about graves has been extracted from the Historic Environment Record (Swedish: Kulturmiljöregistret (KMR) Lämningar) by the Swedish National Heritage Board. Original data accessed from https://pub.raa.se/nedladdning/datauttag/lamningar/ on August 16, 2022.
DOI: 10.5281/zenodo.7229665
title: MedAID_WP2_T2312S_CCMAR_202111

description: This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment evaluated the impacts of protein to lipid ratios in low fishmeal/fish oil diets on key performance indicators of gilthead seabream (<em>Sparus aurata</em>, initial weight: 100 g ± 7 g) on-grown during summer temperature conditions. For further information on experimental conditions, please refer to the publication: “Aragão C., Cabano M., Colen R., Teodósio R., Gisbert E., Dias J. and Engrola S., 2022. Modulation of dietary protein to lipid ratios for gilthead seabream on-growing during summer temperature conditions. Aquaculture Reports, 25: 101262. doi:10.1016/j.aqrep.2022.101262”. In addition to properly cite this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.
description: Funding: Fundação para a Ciência e Tecnologia (Portugal) project LA/P/0101/2020 and contract DL57/2016/CP1361/CT0033.
description: {"references": ["Arag\u00e3o C., Cabano M., Colen R., Teod\u00f3sio R., Gisbert E., Dias J. and Engrola S., 2022. Modulation of dietary protein to lipid ratios for gilthead seabream on-growing during summer temperature conditions. Aquaculture Reports, 25: 101262. doi:10.1016/j.aqrep.2022.101262."]}
DOI: 10.5281/zenodo.7226424
title: Locus coeruleus activity improves cochlear implant performance

description: Data set for: Glennon E, Valtcheva S, Zhu A, Wadghiri YZ, Svirsky MA, Froemke RC. Locus coeruleus activity improves cochlear implant performance. Nature. <em>Provisionally accepted.</em> Each file contains the source data for individual figures.
DOI: 10.5281/zenodo.7226423
title: Locus coeruleus activity improves cochlear implant performance

description: Data set for: Glennon E, Valtcheva S, Zhu A, Wadghiri YZ, Svirsky MA, Froemke RC. Locus coeruleus activity improves cochlear implant performance. Nature. <em>Provisionally accepted.</em> Each file contains the source data for individual figures.
DOI: 10.5281/zenodo.7229936
title: D1.2 - Annex 1.7

description: Catalogue of assistive tools
DOI: 10.5281/zenodo.7229935
title: D1.2 - Annex 1.7

description: Catalogue of assistive tools
DOI: 10.5281/zenodo.7229940
title: D2.2 -Appendix E

description: Aggregated raw data material for the Scenarios Design and Lifeworld Analysis
DOI: 10.5281/zenodo.7229939
title: D2.2 -Appendix E

description: Aggregated raw data material for the Scenarios Design and Lifeworld Analysis
DOI: 10.5281/zenodo.7229909
title: Artigos selecionados - RSL Projeto e Implementação de Software

description: Resultado da RSL realizado pelo pesquisador Vitor Castro sobre práticas de ensino sobre o tema de Projeto e Implementação de Software.
DOI: 10.5281/zenodo.7229908
title: Artigos selecionados - RSL Projeto e Implementação de Software

description: Resultado da RSL realizado pelo pesquisador Vitor Castro sobre práticas de ensino sobre o tema de Projeto e Implementação de Software.
DOI: 10.5066/p9xurdhs
title: Silver Carp (Hypophthalmichthys molitrix) locations in earthen ponds with overhead structure

description: Data consists of acoustic telemetry positions for silver carp (345:2 plus or minus 17:5 millimeters total length and 377 plus or minus 64:7 grams weight) tagged with 795-LD transmitters (Innovasea Systems Inc., Boston, MA; formerly Hydroacoustic Technology Inc.) in four earthen ponds (dimensions 40 meters X 25 meters; depth 1-2 meters) at the Columbia Environmental Research Center, Columbia, MO, USA. Positions were monitored from September 7 to October 5, 2018 using a 16 hydrophone array in each pond (Model 290 Acoustic Tag Receiver; Innovasea Systems Inc.; formerly Hydroacoustic Technology Inc.). Silver carp positions were examined for expelled transmitters and excluded from the dataset. A 5-meter square floating platform (aka overhead structure) was placed in one of five possible positions in each pond 24 hours before the beginning of each 48-hour trial for fish acclimation. The overhead structure was moved to a new position and fish allowed to acclimate for each of the seven trials.
DOI: 10.6084/m9.figshare.21370941.v1
title: Source Data.xlsx

description: <strong>Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation </strong>
DOI: 10.6084/m9.figshare.21371070.v1
title: Contrast the distribution, transformation, and degradation of dissolved and particulate organic matter in the South Yellow Sea, the East China Sea, and its adjacent Kuroshio Current

description: The detailed information of sampling stations, the carbon, nitrogen, and amino acids levels in DOM and POM, as well as other parameters including temperature, salinity, nutrients, chlorophyll-<em>a</em>, and biological parameters (heterotrophic bacteria, Synechococcus, and picoeukaryotes) are dispalyed in this dataset.
DOI: 10.5281/zenodo.7229997
title: Summative evaluation of LIVE IT co-labs

description: A report providing an overview of the co-labs procedures, data and results during the LIVE IT. Aggregated raw data is also included.
DOI: 10.5281/zenodo.7229998
title: Summative evaluation of LIVE IT co-labs

description: A report providing an overview of the co-labs procedures, data and results during the LIVE IT. Aggregated raw data is also included.
DOI: 10.5281/zenodo.7230010
title: Summative evaluation of LIVE IT 'hackathons'

description: A report providing an overview of the 'hackathons' procedures, data and results during the LIVE IT.
DOI: 10.5281/zenodo.7230011
title: Summative evaluation of LIVE IT 'hackathons'

description: A report providing an overview of the 'hackathons' procedures, data and results during the LIVE IT.
DOI: 10.5281/zenodo.3923840
title: Ship-S2-AIS dataset

description: <em>The DB is providing an ARD classification dataset, automatically labelled using AIS data and manually checked.</em> <em>It is composed of 13k tiles extracted from 29 free Sentinel-2 products. 2k images showing ships in Denmark sovereign waters: one may detect cargos, fishing, or container ships. Others showing negatives (sea, coasts, urban areas, …) Technical details about its content are provided in the technical note attached to the database.</em> <em>This database was generated by AGENIUM Space in the framework of the CORTEX project (</em><em>https://esacortexproject.agenium-space.com/</em><em>) funded by ESA in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4</em>
description: {"references": ["https://esacortexproject.agenium-space.com/", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}
DOI: 10.5281/zenodo.3923841
title: Sentinel-2 dataset for ship detection

description: This database was generated by AGENIUM Space in the framework of the CORTEX project (https://esacortexproject.agenium-space.com/) funded by ESA. The database was created using Sentinel-2 images distributed through the Copernicus open access hub (https://www.copernicus.eu/en, https://scihub.copernicus.eu/) and AIS (Automatic Identification System) data. Sentinel-2 images are all L1C products acquired in Danish sovereign waters in 2019. Danish government made available the AIS (Automatic Identification System) data around Denmark from 2009 until now ( https://www.dma.dk/SikkerhedTilSoes/Sejladsinformation/AIS/Sider/default.aspx ). More specifically, 14 tiles were selected, each of them with a cloud coverage below 10% according to the cloud mask products. Three DBs are provided. Their description is given in S2-Ships-DB-description.pdf document attached to the DB. This work is funded by a contract in the framework of the <strong>EO SCIENCE FOR SOCIETY</strong> PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4 issued by the European Space Agency.
description: {"references": ["https://esacortexproject.agenium-space.com/", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}
DOI: 10.5281/zenodo.6394031
title: Sentinel-2 dataset for ship detection

description: This database is a rework of the database built for the first phase of CORTEX project (https://esacortexproject.agenium-space.com/) funded by ESA. The creation process of the DB was redesigned, and new Sentinel2 acquisitions were included into the dataset. Like the previous database, it was generated using Sentinel-2 images distributed through the Copernicus open access hub (https://www.copernicus.eu/en, https://scihub.copernicus.eu/). These Sentinel-2 images are L1C products acquired in Danish sovereign waters in 2019, 2021 and 2022. More specifically, 31 10980x10980 L1C sentinel-2 products were selected (25 for the train dataset, 6 for the test dataset), each of them with a cloud coverage below 10% according to the cloud mask products. The database gathers small (80x80) tiles extracted from Sentinel-2 products. The DB description is given in AIS_Sentinel2_ships_db_CCN-CORTEX-TN-AS-011_1_0.pdf document attached to the zip file. This work is funded by a contract in the framework of the <strong>EO SCIENCE FOR SOCIETY</strong> PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4 issued by the European Space Agency.
description: {"references": ["https://esacortexproject.agenium-space.com/", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}
DOI: 10.5281/zenodo.7229756
title: Ship-S2-AIS dataset

description: <em>The DB is providing an ARD classification dataset, automatically labelled using AIS data and manually checked.</em> <em>It is composed of 13k tiles extracted from 29 free Sentinel-2 products. 2k images showing ships in Denmark sovereign waters: one may detect cargos, fishing, or container ships. Others showing negatives (sea, coasts, urban areas, …) Technical details about its content are provided in the technical note attached to the database.</em> <em>This database was generated by AGENIUM Space in the framework of the CORTEX project (</em><em>https://esacortexproject.agenium-space.com/</em><em>) funded by ESA in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4</em>
description: {"references": ["https://esacortexproject.agenium-space.com/", "De Vieilleville, Fran\u00e7ois; Lagrange, Adrien; Ruiloba, Rosa and Le Saux, Bertrand, \"CORTEX: Deep Learning processing for improving small sat capabilities\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020", "Lagrange, Adrien; De Vieilleville, Fran\u00e7ois; Ruiloba, Rosa, Le Saux, Bertrand and Mathieu, Pierre-Philippe, \"CORTEX: Open training datasets of Sentinel images : ships (Sentinel-2) and refugee camps detection (Sentinel-1&2)\", ESA EO \u03a6-WEEK 2020 , 28 September - 02 October 2020"]}
DOI: 10.6084/m9.figshare.21371070.v3
title: Contrast the distribution, transformation, and degradation of dissolved and particulate organic matter in the South Yellow Sea, the East China Sea, and its adjacent Kuroshio Current

description: The detailed information of sampling stations, the carbon, nitrogen, and amino acids levels in DOM and POM, as well as other parameters including temperature, salinity, nutrients, chlorophyll-<em>a</em>, and biological parameters (heterotrophic bacteria, Synechococcus, and picoeukaryotes) are dispalyed in this dataset.
DOI: 10.6084/m9.figshare.21371070.v2
title: Contrast the distribution, transformation, and degradation of dissolved and particulate organic matter in the South Yellow Sea, the East China Sea, and its adjacent Kuroshio Current

description: The detailed information of sampling stations, the carbon, nitrogen, and amino acids levels in DOM and POM, as well as other parameters including temperature, salinity, nutrients, chlorophyll-<em>a</em>, and biological parameters (heterotrophic bacteria, Synechococcus, and picoeukaryotes) are dispalyed in this dataset.
DOI: 10.5281/zenodo.7230099
title: kws_tinyReptile

description: This is a dataset for testing tinyReptile
DOI: 10.5281/zenodo.7230098
title: kws_tinyReptile

description: This is a dataset for testing tinyReptile
DOI: 10.5281/zenodo.7230109
title: Supplementary data for the time-bidirectional states tomography demonstration

description: Supplementary data for the time-bidirectional tomography demonstration realized on ibm_oslo seven-qubit superconducting quantum processor. ibm_oslo_calibrations_data.csv contains calibration data at the time of the demonstration realized. input.json contains three input quantum circuits in qiskit format. output.json contains corresponding measurement counts in qiskit format.
DOI: 10.5281/zenodo.7230108
title: Supplementary data for the time-bidirectional states tomography demonstration

description: Supplementary data for the time-bidirectional tomography demonstration realized on ibm_oslo seven-qubit superconducting quantum processor. ibm_oslo_calibrations_data.csv contains calibration data at the time of the demonstration realized. input.json contains three input quantum circuits in qiskit format. output.json contains corresponding measurement counts in qiskit format.
DOI: 10.5281/zenodo.7230134
title: PRISMA HSI Forest dataset

description: <em>This BD provides more than 1000 labelled hyperspectral images. It is the first database providing as many high-quality HS images. </em> <em>The images are based on PRISMA products and ground truth is based on IGN BD Forest V2. Four classes are used : deciduous forest, coniferous forest, mixed, non-tree. Details about its content is provided in the technical note (only for Zenodo text). Considerable efforts were made to ensure the high quality of the dataset, especially regarding the coregistration between the ground truth and the images. To assess the quality of the dataset, a segmentation network was trained with it and the good results obtained proved the coherence between the final set of images and ground truth. This database was generated by AGENIUM Space in the framework of the CORTEX project (</em><em>https://esacortexproject.agenium-space.com/</em><em>) funded by ESA in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4</em>
DOI: 10.5281/zenodo.7230133
title: PRISMA HSI Forest dataset

description: <em>This BD provides more than 1000 labelled hyperspectral images. It is the first database providing as many high-quality HS images. </em> <em>The images are based on PRISMA products and ground truth is based on IGN BD Forest V2. Four classes are used : deciduous forest, coniferous forest, mixed, non-tree. Details about its content is provided in the technical note (only for Zenodo text). Considerable efforts were made to ensure the high quality of the dataset, especially regarding the coregistration between the ground truth and the images. To assess the quality of the dataset, a segmentation network was trained with it and the good results obtained proved the coherence between the final set of images and ground truth. This database was generated by AGENIUM Space in the framework of the CORTEX project (</em><em>https://esacortexproject.agenium-space.com/</em><em>) funded by ESA in the framework of the EO SCIENCE FOR SOCIETY PERMANENTLY OPEN CALL FOR PROPOSALS EOEP-5 BLOCK 4</em>
DOI: 10.5519/qd.hcb6tt1e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (52 records)
DOI: 10.34740/kaggle/dsv/4359494
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7230174
title: Understanding the archived projects on GitHub

description: The supplementary material of the paper.
DOI: 10.5281/zenodo.7230173
title: Understanding the archived projects on GitHub

description: The supplementary material of the paper.
DOI: 10.6084/m9.figshare.21371265
title: Rabbit livelihood data.xlsx

description: Data on Rabbit Income on livelihood
DOI: 10.5281/zenodo.7225259
title: EUBUCCO

description: This is the data repository for the scientific database <strong>EUBUCCO</strong> <strong>v0.1</strong> (<strong>EU</strong>ropean <strong>BU</strong>ilding stock <strong>C</strong>haracteristics in a <strong>C</strong>ommon and <strong>O</strong>pen database for 206 million individual buildings). <strong>Introduction:</strong> EUBUCCO is a scientific database of individual building footprints for ~206 million buildings across the 27 European Union countries and Switzerland, together with three main attributes -- building type, height and construction year -- included for respectively 45%, 74%, 24% of the buildings. EUBUCCO is composed of 50 open government datasets and OpenStreetMap that have been collected, harmonized and partly validated. EUBUCCO provides the basis for high-resolution urban sustainability studies across scales -- continental, comparative or local studies -- using a centralized source and is relevant for a variety of use cases, e.g. for energy system analysis or natural hazard risk assessments. <strong>Data:</strong> The data of EUBUCCO v0.1 (and of all future versions) can be found at eubucco.com/data <strong>Version history:</strong> EUBUCCO is currently available under its first, beta version (<strong>v0.1</strong>). The first stable version (v1.0) is planned to be released later in 2022. This database is associated with a Data Descriptor paper. This version corresponds to the first journal submission. <strong>License: <em>(!!) This database is composed of files under different licenses</em> <em>(!!) </em></strong>The majority of the data (95+%) is licensed under Open Data Commons Open Database License 1.0 (ODbL). Two datasets are available on this repository under different licenses. Their license is added to their respective file names. One input dataset has a share-alike requirement but which is not ODbL, namely Prague, licensed under CC-BY-SA. The file name is v0_1-CZE_11-OTHER-LICENSE-CC-BY-SA.zip. One input dataset had a non-commercial use requirement, namely Abruzzo, licensed under CC-BY-NC. The file name is v0_1-ITA_1-OTHER-LICENSE-CC-BY-NC.zip. <strong>Code: </strong>The code to reproduce the database or update it can be found here: https://github.com/ai4up/eubucco/releases/tag/v0.1 <strong>Changelog</strong>: v0.1 (Oct 20, 2022) Changed file format from .csv with WKT string to .gkpg (and .csv without geometries) Repaired assignment error of individual building ID per city. v0.1-alpha (May 12, 2022): initial version