cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0956976.10fu
title: SH0956976.10FU

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/sh0956977.10fu
title: SH0956977.10FU

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/sh0956978.10fu
title: SH0956978.10FU

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/sh0956979.10fu
title: SH0956979.10FU

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/sh0956980.10fu
title: SH0956980.10FU

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.rw4qv6
title: Occurrence Download

description: A dataset containing 15556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.32061 22.04452,-107.8077 22.04452,-109.04169 33.81111,-119.63478 33.81111,-121.32061 22.04452))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dipodomys merriami Mearns, 1890"
 ]
}

 The dataset includes 15556 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057615-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0956981.10fu
title: SH0956981.10FU

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.ver2we
title: Occurrence Download

description: A dataset containing 4733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.32061 22.04452,-107.8077 22.04452,-109.04169 33.81111,-119.63478 33.81111,-121.32061 22.04452))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Neotoma lepida Thomas, 1893, Neotoma bryanti Merriam, 1887)"
 ]
}

 The dataset includes 4733 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057616-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0956982.10fu
title: SH0956982.10FU

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/sh0956983.10fu
title: SH0956983.10FU

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.4kftuv
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.32061 22.04452,-107.8077 22.04452,-109.04169 33.81111,-119.63478 33.81111,-121.32061 22.04452))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fouquieria columnaris Kellogg ex Curran"
 ]
}

 The dataset includes 916 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057640-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/14412842.v2
title: Biomass production and nutrient content of temperate cover crops

description: This dataset has been used to establish reference values for organic matter production and nitrogen uptake of ten common monoculture cover crops. It contains cover crop data from several experiments and years of sampling. Most entries contain data on aboveground or belowground biomass. Later entries also contain data on macro- and micronutrient contents. For some entries the soil mineral nitrogen is available. It is possible that additional meta-data and data from other variables can be found if needed. Data used in the report from the 'Clever cover cropping' experiment was excluded from this dataset. A new dataset (containing this and new data) will be published after 2 years.<br>Version 2 corrections:In v2 errors in different variables have been adjusted: Nmin 0-90 and 0-60 have been removed for all variables since these can be calculated from other columns. Nmin 0-90 after harvest made a faulty sum in v1.Sowing_date_[dd/mm/yyyy] and the Sampling_date_[dd/mm/yyyy] have been adjusted for the references Schroeder et al., 1993, Van Geel & Verstegen, 2008, Van Dijk et al., 1995 Van Geel, 2019 (unpublished) and Van Geel, 2020 (unpublished).Temperature_sum, Moisture_availability[mm], Radiation[MJ/m2], Seeding_rate_[kg/ha], Nmin after harvest, Nmin end nov-dec and biomass variables for the reference Van Geel, 2019 (unpublished)<br>
DOI: 10.4121/14412842
title: Biomass production and nutrient content of temperate cover crops

description: This dataset has been used to establish reference values for organic matter production and nitrogen uptake of ten common monoculture cover crops. It contains cover crop data from several experiments and years of sampling. Most entries contain data on aboveground or belowground biomass. Later entries also contain data on macro- and micronutrient contents. For some entries the soil mineral nitrogen is available. It is possible that additional meta-data and data from other variables can be found if needed. Data used in the report from the 'Clever cover cropping' experiment was excluded from this dataset. A new dataset (containing this and new data) will be published after 2 years.<br>Version 2 corrections:In v2 errors in different variables have been adjusted: Nmin 0-90 and 0-60 have been removed for all variables since these can be calculated from other columns. Nmin 0-90 after harvest made a faulty sum in v1.Sowing_date_[dd/mm/yyyy] and the Sampling_date_[dd/mm/yyyy] have been adjusted for the references Schroeder et al., 1993, Van Geel & Verstegen, 2008, Van Dijk et al., 1995 Van Geel, 2019 (unpublished) and Van Geel, 2020 (unpublished).Temperature_sum, Moisture_availability[mm], Radiation[MJ/m2], Seeding_rate_[kg/ha], Nmin after harvest, Nmin end nov-dec and biomass variables for the reference Van Geel, 2019 (unpublished)<br>
DOI: 10.6084/m9.figshare.23267645
title: Results of the analysis of association between VAGs and unitigs belonging to the ColV plasmid at the genus level according to their predicted location.

description: Results of the analysis of association between VAGs and unitigs belonging to the ColV plasmid at the genus level according to their predicted location. These results were obtained from a previous GWAS performed on 370 strains of <em>Escherichia </em>(PMID: 33112851). These data were used to draw the figure S6.
DOI: 10.6084/m9.figshare.23267645.v1
title: Results of the analysis of association between VAGs and unitigs belonging to the ColV plasmid at the genus level according to their predicted location.

description: Results of the analysis of association between VAGs and unitigs belonging to the ColV plasmid at the genus level according to their predicted location. These results were obtained from a previous GWAS performed on 370 strains of <em>Escherichia </em>(PMID: 33112851). These data were used to draw the figure S6.
DOI: 10.4121/20583801
title: Data underlying the publication: Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations

description: <strong>***General Introduction***</strong>This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.This research project was made possible by a grant from the NWO.<strong>***Purpose of the measurement campaign***</strong>The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.<strong>***Description of the data in this data set***</strong>The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. The following instruments are included: sonic-anometer, radiometer, DTS.
DOI: 10.4121/20583801.v1
title: Data underlying the publication: Wind machines for frost damage mitigation: A quantitative 3D investigation based on observations

description: <strong>***General Introduction***</strong>This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of Y. Dai’s PhD Thesis project.It is being made public both to act as supplementary data for publications of Y. Dai and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, 7-8 May 2021.This research project was made possible by a grant from the NWO.<strong>***Purpose of the measurement campaign***</strong>The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.<strong>***Description of the data in this data set***</strong>The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz. The following instruments are included: sonic-anometer, radiometer, DTS.
DOI: 10.4121/20581542
title: Data underlying the publication: Plant–atmosphere heat exchange during wind machine operation for frost protection

description: <strong>***General Introduction***</strong>This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of J. Boekee's PhD Thesis project.It is being made public both to act as supplementary data for publications of J. Boekee and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, on 13-14 April 2021 and 7-8 May 2021.This research project was made possible by a grant from the NWO.<strong>***Purpose of the measurement campaign***</strong>The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.<strong>***Description of the data in this data set***</strong>The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz and data_location_4TU_April.kmz. In April following instruments are included: radiometer, DTS, weather stations, soil temperature sensors. In May additional sonic-anemometers and plant thermocouples are included.<br>
DOI: 10.4121/20581542.v1
title: Data underlying the publication: Plant–atmosphere heat exchange during wind machine operation for frost protection

description: <strong>***General Introduction***</strong>This dataset contains data collected during the Clarity on Fruitfrost project at Delft University of Technology, as part of J. Boekee's PhD Thesis project.It is being made public both to act as supplementary data for publications of J. Boekee and in order for other researchers to use this data in their own work.The data in this data set was collected in Krabbendijke, The Netherlands, on 13-14 April 2021 and 7-8 May 2021.This research project was made possible by a grant from the NWO.<strong>***Purpose of the measurement campaign***</strong>The purpose of these experiments was to study frost protection by a wind machine in a fruit orchard.<strong>***Description of the data in this data set***</strong>The data included in this data set has been organised per instrument. The files follow the nomenclature system: Month_instrument_loc with loc = wind direction + number of tree rows distance to the wind machineThe precise location of the instruments is mapped in a google earth file: data_location_4TU_May.kmz and data_location_4TU_April.kmz. In April following instruments are included: radiometer, DTS, weather stations, soil temperature sensors. In May additional sonic-anemometers and plant thermocouples are included.<br>
DOI: 10.5517/ccdc.csd.cc24nv9z
title: CCDC 1986241: Experimental Crystal Structure Determination

description: Related Article: D. E. Dusmatova, Kh. M. Bobakulov, K. K. Turgunov, R. F. Mukhamatkhanova, V. V. Uzbekov, H. Gildenast, U. Englert, I. D. Sham’yanov, B. Tashkhojaev, V. P. Bruskov, N. D. Abdullaev|2022|Nat.Prod.Res.|36|1734|doi:10.1080/14786419.2020.1813137
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.cc24nvb0
title: CCDC 1986242: Experimental Crystal Structure Determination

description: Related Article: D. E. Dusmatova, Kh. M. Bobakulov, K. K. Turgunov, R. F. Mukhamatkhanova, V. V. Uzbekov, H. Gildenast, U. Englert, I. D. Sham’yanov, B. Tashkhojaev, V. P. Bruskov, N. D. Abdullaev|2022|Nat.Prod.Res.|36|1734|doi:10.1080/14786419.2020.1813137
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.cc24nvc1
title: CCDC 1986243: Experimental Crystal Structure Determination

description: Related Article: D. E. Dusmatova, Kh. M. Bobakulov, K. K. Turgunov, R. F. Mukhamatkhanova, V. V. Uzbekov, H. Gildenast, U. Englert, I. D. Sham’yanov, B. Tashkhojaev, V. P. Bruskov, N. D. Abdullaev|2022|Nat.Prod.Res.|36|1734|doi:10.1080/14786419.2020.1813137
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.cc24nvpc
title: CCDC 1986253: Experimental Crystal Structure Determination

description: Related Article: D. E. Dusmatova, Kh. M. Bobakulov, K. K. Turgunov, R. F. Mukhamatkhanova, V. V. Uzbekov, H. Gildenast, U. Englert, I. D. Sham’yanov, B. Tashkhojaev, V. P. Bruskov, N. D. Abdullaev|2022|Nat.Prod.Res.|36|1734|doi:10.1080/14786419.2020.1813137
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.cc27s64d
title: CCDC 2078833: Experimental Crystal Structure Determination

description: Related Article: Shinjiro Takano, Emi Ito, Toshikazu Nakamura, Tatsuya Tsukuda|2023|J.Phys.Chem.C|127|4360|doi:10.1021/acs.jpcc.2c09037
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.