cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0885553.10fu
title: SH0885553.10FU

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/sh0885554.10fu
title: SH0885554.10FU

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/sh0885555.10fu
title: SH0885555.10FU

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/sh0885556.10fu
title: SH0885556.10FU

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/sh0885557.10fu
title: SH0885557.10FU

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/sh0885558.10fu
title: SH0885558.10FU

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: 10.15468/dl.7nskqn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Etheostoma marmorpinnum Blanton & Jenkins, 2008)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096048-240626123714530/datasets/export for details.
DOI: 10.15156/bio/sh0885559.10fu
title: SH0885559.10FU

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/sh0885560.10fu
title: SH0885560.10FU

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/sh0885561.10fu
title: SH0885561.10FU

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/sh0885562.10fu
title: SH0885562.10FU

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: 10.6084/m9.figshare.21657587
title: ripple_data_forColab

description: Dataset neccesary to execute notebook in Colab
DOI: 10.6084/m9.figshare.21657587.v1
title: ripple_data_forColab

description: Dataset neccesary to execute notebook in Colab
DOI: 10.6084/m9.figshare.21657569
title: barcodes_forColab

description: Barcodes data to plot persistent homology figure in Colab notebook
DOI: 10.48529/t2av-jx98
title: Impact Evaluation of the Sustainable Irrigation Project 2018
title: MOZ_2018_SIPIE-EL_v01_M
DOI: 10.48529/3na0-xa83
title: Mobile Phone Survey Monitoring Round I, 2022
title: YEM_2022_YMPS-R1_v01_M
DOI: 10.48529/jfys-0n62
title: Mobile Phone Survey Monitoring Round II, 2023
title: YEM_2023_YMPS-R2_v01_M
DOI: 10.34740/kaggle/dsv/6494965
title: Arabian Sea Fish Species
DOI: 10.6073/pasta/9ca4473616f993a23b51597ff8795526
title: Thymidine uptake rates for estimating bacterial production in lakes, McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)

description: An important part of the McMurdo Long Term Ecological Research (LTER) is monitoring of spatial and temporal patterns, and processes that control bacterial production in perennial ice-covered lakes. This data set quantifies thymidine (TdR) uptake by bacteria, which can be used to estimate bacterial production.
DOI: 10.6084/m9.figshare.23727489
title: Bulk RNAseq analysis related to "Chronic alcohol use primes bronchial cells for altered inflammatory response and barrier dysfunction during SARS-CoV-2 infection"

description: Differential gene expression and gene ontology (GO) data from bulk RNAseq analysis comparing cultured primary airway epithelial cells from people with and without alcohol use disorder (AUD).For additional information please see the associated article: "Chronic alcohol use primes bronchial cells for altered inflammatory response and barrier dysfunction during SARS-CoV-2 infection" published in the American Journal of Physiology: Lung Cellular and Molecular Physiology, 2023
DOI: 10.6084/m9.figshare.23727489.v1
title: Bulk RNAseq analysis related to "Chronic alcohol use primes bronchial cells for altered inflammatory response and barrier dysfunction during SARS-CoV-2 infection"

description: Differential gene expression and gene ontology (GO) data from bulk RNAseq analysis comparing cultured primary airway epithelial cells from people with and without alcohol use disorder (AUD).For additional information please see the associated article: "Chronic alcohol use primes bronchial cells for altered inflammatory response and barrier dysfunction during SARS-CoV-2 infection" published in the American Journal of Physiology: Lung Cellular and Molecular Physiology, 2023
DOI: 10.6084/m9.figshare.24158304
title: Snowpack_Snodgrass Elevation transect_Winters (2021-22, 2022-23)_AS.csv

description: The data set “Snowpack_Snodgrass_AS.csv” consists of the snowpack data measured by the PhenoCams at each site up Snodgrass Mtn, Crested Butte, Co. To calculate snow depth each fall, we placed a 3-meter PVC pipe in the ground in the field of view of the PhenoCam. We spray painted 25 cm alternating increments of red and white, with each meter labeled with a black stripe. Using the downloaded PhenoCam images, a calibration curve of pole height to pixels was calculated. The amount of non-snow-covered pole pixels for each image was quantified, and the snow depth was calculated using the calibration curve. Sites are abbreviated versions of site names and phenocam numbers, i.e., hc7= high_conifer_Snodgrass_7.
DOI: 10.6084/m9.figshare.24158304.v2
title: Snowpack_Snodgrass Elevation transect_Winters (2021-22, 2022-23)_AS.csv

description: The data set “Snowpack_Snodgrass_AS.csv” consists of the snowpack data measured by the PhenoCams at each site up Snodgrass Mtn, Crested Butte, Co. To calculate snow depth each fall, we placed a 3-meter PVC pipe in the ground in the field of view of the PhenoCam. We spray painted 25 cm alternating increments of red and white, with each meter labeled with a black stripe. Using the downloaded PhenoCam images, a calibration curve of pole height to pixels was calculated. The amount of non-snow-covered pole pixels for each image was quantified, and the snow depth was calculated using the calibration curve. Sites are abbreviated versions of site names and phenocam numbers, i.e., hc7= high_conifer_Snodgrass_7.
DOI: 10.6084/m9.figshare.24158304.v1
title: Snowpack_Snodgrass_AS.csv

description: The data set “Snowpack_Snodgrass_AS.csv” consists of the snowpack data measured by the PhenoCams at each site up Snodgrass Mtn, Crested Butte, Co. To calculate snow depth each fall, we placed a 3-meter PVC pipe in the ground in the field of view of the PhenoCam. We spray painted 25 cm alternating increments of red and white, with each meter labeled with a black stripe. Using the downloaded PhenoCam images, a calibration curve of pole height to pixels was calculated. The amount of non-snow-covered pole pixels for each image was quantified, and the snow depth was calculated using the calibration curve. Sites are abbreviated versions of site names and phenocam numbers, i.e., hc7= high_conifer_Snodgrass_7.
DOI: 10.3886/e175242
title: Data and code for: Discrimination in Times of Crises and the Role of the Media

description: Can the extent of ethnic discrimination change quickly and what circumstances and mechanisms make such changes possible? I address these questions by using scraped data to study the daily evolution of customer discrimination against Arab doctors in Israel from January 2020 to June 2021. Results show that: (1) the outbreak of the coronavirus crisis in March 2020 led to a dramatic decline in discrimination; (2) the eruption of a wave of ethnic riots in May 2021 had the opposite effect; (3) media coverage of the contribution of Arab doctors to the fight against the pandemic helped bring about the first change.<br>
DOI: 10.3886/e175242v1
title: Data and code for: Discrimination in Times of Crises and the Role of the Media

description: Can the extent of ethnic discrimination change quickly and what circumstances and mechanisms make such changes possible? I address these questions by using scraped data to study the daily evolution of customer discrimination against Arab doctors in Israel from January 2020 to June 2021. Results show that: (1) the outbreak of the coronavirus crisis in March 2020 led to a dramatic decline in discrimination; (2) the eruption of a wave of ethnic riots in May 2021 had the opposite effect; (3) media coverage of the contribution of Arab doctors to the fight against the pandemic helped bring about the first change.<br>
DOI: 10.25318/2710038501-eng
title: Fields related to advanced technologies, by industry and enterprise size

description: Survey of advanced technology, fields related to advanced technologies, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.34740/kaggle/dsv/6493939
title: Walker Fall Detection Dataset
DOI: 10.25318/2710038501-fra
title: Champs liés aux technologies, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, champs liés aux technologies, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.14278/rodare.2480
title: Data publication: Fractography of Neutron Irradiated RPV Steels – A Comparison of Shift in Reference Temperature and Net Hardening

description: The research data contains fractographic and fracture toughness data
DOI: 10.14278/rodare.2479
title: Data publication: Fractography of Neutron Irradiated RPV Steels – A Comparison of Shift in Reference Temperature and Net Hardening

description: The research data contains fractographic and fracture toughness data
DOI: 10.25318/2710038601-eng
title: Number of advanced technology domains used by enterprises, by industry and enterprise size

description: Survey of advanced technology, number of advanced technology domains used by enterprises, by North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.25318/2710038601-fra
title: Nombre de domaines de technologie de pointe utilisés par les entreprises, selon l'industrie et la taille de l'entreprise

description: Enquête sur les technologies de pointe, nombre de domaines de technologie de pointe utilisés par les entreprises, selon le système de classification des industries de l'Amérique du Nord (SCIAN) et la taille de l'entreprise pour le Canada et certaines provinces, en 2022.
DOI: 10.25318/2710038701-eng
title: Number of advanced technologies used in each advanced technology domain, by industry and enterprise size

description: Survey of advanced technology, number of advanced technologies used in each advanced technology domain, by technology domain, North American Industry Classification System (NAICS) and enterprise size for Canada and certain provinces, in 2022.
DOI: 10.5517/ccdc.csd.cc2fgg6l
title: CCDC 2248219: Experimental Crystal Structure Determination

description: Related Article: Fukuan Zhang, Haidong Liu, Xin-Jian Jia, Lin Li, Yi Liang, Xuzhong Luo, Haiqing Luo|2023|New J.Chem.|47|17060|doi:10.1039/D3NJ02949B
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.cc2fs3dr
title: CCDC 2257494: Experimental Crystal Structure Determination

description: Related Article: Erik Schumann, Uwe Böhme, Erica Brendler, Florian Mertens|2023|New J.Chem.|47|16981|doi:10.1039/D3NJ02389C
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.cc2fs3gt
title: CCDC 2257496: Experimental Crystal Structure Determination

description: Related Article: Erik Schumann, Uwe Böhme, Erica Brendler, Florian Mertens|2023|New J.Chem.|47|16981|doi:10.1039/D3NJ02389C
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.cc2fvnhg
title: CCDC 2259946: Experimental Crystal Structure Determination

description: Related Article: Ever A. Blé-González, Stephen R. Isbel, Olatunji S. Ojo, Patrick C. Hillesheim, Matthias Zeller, Alejandro Bugarin|2023|New J.Chem.|47|17020|doi:10.1039/D3NJ03595F
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.