cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fflj0
title: CCDC 2247392: Experimental Crystal Structure Determination

description: Related Article: Yusuke Mizuno, Akira Nogata, Mitsuharu Suzuki, Ken-ichi Nakayama, Ichiro Hisaki, Ryohei Kishi, Akihito Konishi, Makoto Yasuda|2023|J.Am.Chem.Soc.|145|20595|doi:10.1021/jacs.3c07356
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.cc2fflk1
title: CCDC 2247393: Experimental Crystal Structure Determination

description: Related Article: Yusuke Mizuno, Akira Nogata, Mitsuharu Suzuki, Ken-ichi Nakayama, Ichiro Hisaki, Ryohei Kishi, Akihito Konishi, Makoto Yasuda|2023|J.Am.Chem.Soc.|145|20595|doi:10.1021/jacs.3c07356
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.cc2ffll2
title: CCDC 2247394: Experimental Crystal Structure Determination

description: Related Article: Yusuke Mizuno, Akira Nogata, Mitsuharu Suzuki, Ken-ichi Nakayama, Ichiro Hisaki, Ryohei Kishi, Akihito Konishi, Makoto Yasuda|2023|J.Am.Chem.Soc.|145|20595|doi:10.1021/jacs.3c07356
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.cc2fm2cj
title: CCDC 2252657: Experimental Crystal Structure Determination

description: Related Article: Antoine Buchard, Matthew G. Davidson, Gerrit Gobius du Sart, Matthew D. Jones, Gabriele Kociok-Köhn, Strachan N. McCormick, Paul Mckeown|2023|Inorg.Chem.|62|15688|doi:10.1021/acs.inorgchem.3c02491
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.cc2fm2dk
title: CCDC 2252658: Experimental Crystal Structure Determination

description: Related Article: Antoine Buchard, Matthew G. Davidson, Gerrit Gobius du Sart, Matthew D. Jones, Gabriele Kociok-Köhn, Strachan N. McCormick, Paul Mckeown|2023|Inorg.Chem.|62|15688|doi:10.1021/acs.inorgchem.3c02491
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.cc2ggzhf
title: CCDC 2278515: Experimental Crystal Structure Determination

description: Related Article: Galina V. Romanenko, Sergey V. Fokin, Svyatoslav E. Tolstikov, Gleb A. Letyagin, Victor I. Ovcharenko, Kirill V. Strizhenko, Aleksei B. Sheremetev|2023|CrystEngComm|25|5413|doi:10.1039/D3CE00769C
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.cc2ggzjg
title: CCDC 2278516: Experimental Crystal Structure Determination

description: Related Article: Galina V. Romanenko, Sergey V. Fokin, Svyatoslav E. Tolstikov, Gleb A. Letyagin, Victor I. Ovcharenko, Kirill V. Strizhenko, Aleksei B. Sheremetev|2023|CrystEngComm|25|5413|doi:10.1039/D3CE00769C
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: 10.18739/a28c9r417
title: Thaw depth measurements from the Circumpolar Active Layer Monitoring (CALM) project for site 'Nadym; West Siberia' (R1), West Siberia, Russia from 1997-2018

description: The primary goal of the Circumpolar Active Layer Monitoring (CALM) program is to observe the response of the active layer and near-surface permafrost to climate change over long (multi-decadal) time scales. The CALM observational network, established in the 1990s, observes the long-term response of the active layer and near-surface permafrost to changes and variations in climate at more than 200 sites in both hemispheres. CALM currently has participants from 15 countries. Majority of sites measure active-layer thickness on grids ranging from 1 hecatre to 1 square kilometer, and observe soil temperatures. Most sites in the CALM network are located in Arctic and Subarctic lowlands. Southern Hemisphere component (CALM-South) is being organized and currently includes sites in Antarctic and South America. The broader impacts of this project are derived from the hypothesis that widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. The CALM program began in 1991. It was initially affiliated with the International Tundra Experiment and has been supported independently and continuously since 1998 through grants from the United States National Science Foundation (NSF). CALM is funded by the NSF Award 1304555 (Polar Programs). This dataset and metadata record was automatically generated from a web crawl of the original project page https://www2.gwu.edu/~calm/data/north.htm at the request of project coordinators. More information about this site and others in the project can be found at https://www2.gwu.edu/~calm/data/north.htm and also http://gtnpdatabase.org/activelayers.
DOI: 10.5517/ccdc.csd.cc2ggzkh
title: CCDC 2278517: Experimental Crystal Structure Determination

description: Related Article: Galina V. Romanenko, Sergey V. Fokin, Svyatoslav E. Tolstikov, Gleb A. Letyagin, Victor I. Ovcharenko, Kirill V. Strizhenko, Aleksei B. Sheremetev|2023|CrystEngComm|25|5413|doi:10.1039/D3CE00769C
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: 10.25318/4310006501-eng
title: Civic engagement and engagement in political activities, by groups designated as visible minorities and selected sociodemographic characteristics, 2020

description: Global civic engagement rate, civic engagement rate among different groups, organizations and associations and global rate of engagement in political activities, by groups designated as visible minorities and selected sociodemographic characteristics: age group; gender; immigrant status; generation status; first official language spoken and; highest certificate, diploma or degree.
DOI: 10.25318/4310006501-fra
title: L'engagement communautaire et l'engagement dans des activités politiques, selon les groupes désignés comme minorités visibles et certaines caractéristiques sociodémographiques, 2020

description: Taux global d'engagement communautaire, taux d'engagement au sein de différents types d'organismes, d'associations ou de groupes et taux global d'engagement dans certaines activités politiques, par groupes désignés comme minorités visibles et certaines caractéristiques sociodémographiques suivantes: le groupe d'âge; le genre; le statut d'immigrant; le statut des générations; la première langue officielle parlée et; le plus haut certificat, diplôme ou grade.
DOI: 10.25318/4310006601-eng
title: Vote in the last federal, provincial and municipal elections, by groups designated as visible minorities and selected sociodemographic characteristics, 2020

description: Percentage of people who voted in the last federal, provincial and municipal elections, by groups designated as visible minorities and selected sociodemographic characteristics (age group, gender, immigrant status, generation status, first official language spoken and highest certificate, diploma or degree).
DOI: 10.25318/4310006601-fra
title: Vote aux dernières élections fédérales, provinciales et municipales, selon les groupes désignés comme minorités visibles et certaines caractéristiques sociodémographiques, 2020

description: Pourcentage de la population ayant voté aux dernières élections fédérale, provinciale et municipale par groupes désignés comme minorités visibles et croisés avec l'une des caractéristiques sociodémographiques suivantes: le groupe d'âge; le genre; le statut d'immigrant; le statut des générations; la première langue officielle parlée et; le plus haut certificat, diplôme ou grade.
DOI: 10.5281/zenodo.6644070
title: On estimating the proportion of susceptibility with zero-inflated models

description: Data used for demonstrating the properties of "On estimating the proportion of susceptibility with zero-inflated models".
DOI: 10.25919/hf5f-6e62
title: Data for "Evolutionary relationships between invasive Senecio madagascariensis (fireweed) and the Australian Senecio pinnatifolius complex, and their implications for biological control research"

description: DNA sequence supermatrices and phylogenetic trees underlying a paper submitted to Capitulum.
DOI: 10.6084/m9.figshare.20069900
title: Global watershed data

description: We searched within the Web of Science and the Chinese Science Citation Database using the keyword combinations “forest hydrology” AND “runoff OR evapotranspiration OR water yield”. Nearly 3000 papers were found and filtered. In total, we identified 496 watersheds scattered across 36 countries globally.
DOI: 10.5281/zenodo.5912234
title: Supplementary Datasets for the ChIP-Hub paper: 10.1038/s41467-022-30770-1

description: Metadata files and peak files in BED format If you use the datasets in your analysis, please cite: Fu, LY., Zhu, T., Zhou, X. <em>et al.</em> ChIP-Hub provides an integrative platform for exploring plant regulome. <em>Nat Commun</em> <strong>13, </strong>3413 (2022). https://doi.org/10.1038/s41467-022-30770-1
DOI: 10.5281/zenodo.5912228
title: Supplementary Datasets for the ChIP-Hub paper: 10.1038/s41467-022-30770-1

description: Metadata files and peak files in BED format If you use the datasets in your analysis, please cite: Fu, LY., Zhu, T., Zhou, X. <em>et al.</em> ChIP-Hub provides an integrative platform for exploring plant regulome. <em>Nat Commun</em> <strong>13, </strong>3413 (2022). https://doi.org/10.1038/s41467-022-30770-1
DOI: 10.13139/ornlnccs/1871170
title: Novel Boron Nitride MXenes as Promising Energy Storage Materials

description: Data accompanying the Nanoscale journal article titled: Novel Boron Nitride MXenes as Promising Energy Storage Materials
DOI: 10.34740/kaggle/dsv/3804219
title: Our World in Data - COVID-19
DOI: 10.6084/m9.figshare.19522255.v2
title: Data scientist search behaviour

description: The repo contains artifacts of survey study and interviews with data scientists on understanding their search behaviour in online resources.
DOI: 10.6084/m9.figshare.20069897.v1
title: Agricultural Crop- and Animal-specific Ammonia Emission Inventory

description: All products (crop- and animal- specific NH3 emission inventories in the time span of 1961-2018) are provided in TIFF format at a spatial resolution of 0.5 degree by 0.5 degree (latitude by longitude) at figshare. The unit is kg N yr-1, stored in two folders (cropland and livestock) in one WinRAR archiver.
DOI: 10.5517/ccdc.csd.cc29ysrt
title: CCDC 2143797: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Kumari, Charu Sharma, Naveen Satrawala, Avinash K. Srivastava, Kamal N. Sharma, Raj K. Joshi|2022|Organometallics|41|1403|doi:10.1021/acs.organomet.2c00136
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: 10.15156/bio/sh1006869.09fu
title: SH1006869.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006870.09fu
title: SH1006870.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006871.09fu
title: SH1006871.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006872.09fu
title: SH1006872.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006873.09fu
title: SH1006873.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006874.09fu
title: SH1006874.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006875.09fu
title: SH1006875.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006876.09fu
title: SH1006876.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1006877.09fu
title: SH1006877.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.