cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17034/a7aa3c95-edb3-44de-90c4-ab285af19fd4
title: Data extraction sheets for "Psychometrics of health-related quality of life questionnaires in bronchiectasis: A systematic review and meta-analysis"

description: This dataset contains data extraction sheets related to the following published article: "Psychometrics of health-related quality of life questionnaires in bronchiectasis: A systematic review and meta-analysis" (2021). This journal was published in the European Respiratory Journal. The dataset includes 5 spreadsheets in xlsx format: (i) correlations data, (ii) psychometrics data, (iii) responsiveness data, (iv) quality assessment & (v) translated studies. The dataset is also available in CSV format in 6 spreadsheets: (i) correlations data, (ii) psychometrics data, (iii) responsiveness data: Datasheet (iv) responsiveness data: Data dictionary sheet (v) translated studies & (vi) quality assessment. This data is the raw data which was used to write the review and perform the meta-analysis. This dataset would benefit other researchers who are interested in publishing similar reviews in order to publish valid and reliable data. Note that this research was conducted in chapter 2 of the related thesis entitled "Clinical and microbiological endpoints in chronic airway diseases" (2022). Please note that this thesis is embargoed until 31 July 2025.
DOI: 10.6084/m9.figshare.20411631
title: High-quality SNPs of the RIL population and parents

description: Dataset of the high-quality SNPs of an RIL population derived from ZS97 and HR5
DOI: 10.6084/m9.figshare.20411631.v1
title: High-quality SNPs of the RIL population and parents

description: Dataset of the high-quality SNPs of an RIL population derived from ZS97 and HR5
DOI: 10.34703/gzx1-9v95/3brps3/htdg3f
title: VISITORS_DATA_Biotropica.tab

description: :unav
DOI: 10.34703/gzx1-9v95/3brps3
title: Replication Data for: More than moths: flower visitors of a night-blooming plant in south Florida pine rocklands, USA

description: Detailed list of observations on visitors to plants of rough-leaved velvetseed, Guettarda scabra, including resources used and behaviors.
DOI: 10.57745/motpxm/afedjk
title: 4_Douville_TxR_Emasculation_bis2_without0_2.csv

description: Results of emasculation experiment.
DOI: 10.57745/motpxm/vh0exw
title: 3_TxR_Corr_2019_with0_sup5burrs.csv

description: 2019 fruit set of INRAE chestnut germaplasm collection.
DOI: 10.57745/motpxm/f9k9ii
title: 2_TxR_Corr_2018_with0_sup5burrs.csv

description: 2018 fruit set of INRAE chestnut germaplasm collection.
DOI: 10.57745/motpxm/5nxsca
title: 1_Read-me.tab

description: Data description.
DOI: 10.6084/m9.figshare.20411802
title: July 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>July, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.7916/qky1-t893
title:  Tension and Indentation Experiment Results for Human Cervix - Shi et al. 2022 Acta Biomaterialia
DOI: 10.24384/epye-sj79
title: Increasing Engagement with Enterprise Education in the Arts, Humanities and Sciences EEUK Research Project Dataset: July 2022

description: EEUK RPF OBU UOB Student Survey Data: Excel spreasheet containing survey data from n=119 students at Oxford Brookes University and n=119 students at the University of Birmingham. EEUK RPF OBU UOB Staff Focus Group and Interivew Transcripts: Word doc containing transcripts of focus groups and interviews with staff at Oxford Brookes University and the University of Birmingham. EEUK RPF OBU UOB Student Focus Group Transcripts: Word doc containing transcripts of focus groups with students at Oxford Brookes University and the University of Birmingham
DOI: 10.5517/ccv2zb6
title: CCDC 777428: Experimental Crystal Structure Determination

description: Related Article: R.Y.Lu, Z.B.Han|2011|Koord.Khim.|37|173|
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.cc29h1zv
title: CCDC 2129637: Experimental Crystal Structure Determination

description: Related Article: J. de J. Velazquez-Garcia, S. Techert|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|814|doi:10.1107/S2056989022007046
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.6795764
title: Short-term effect of thinning on red maple transpiration in a temperate mixed forest

description: Under climate change, forests are expected to experience drier conditions that may increase tree mortality. Silvicultural treatments, such as thinning, have been proposed to reduce moisture competition and to improve forest resistance to drought events. Most studies have investigated the effectiveness of thinning under semi-arid conditions, while little information is available regarding temperate forest responses, together with the residual basal area (BA) that is required to reap the benefits of these treatments. This research aims to understand how the residual BA influences transpiration in mixed temperate forest stands that are dominated by red maple (<em>Acer rubrum</em>) in southeastern Canada. We monitored the sap flux density (Fd) with thermal dissipation-type sensors for 18 red maples spread across nine experimental plots that were thinned to obtain a gradient of residual BA (20, 12.5, 6 m<sup>2</sup> ha<sup>-1</sup>). The study was conducted during the first growing season following treatment. Low residual BA plots (6 m<sup>2</sup> ha<sup>-1</sup>) incurred drier atmospheric conditions as shown by a greater vapor pressure deficit (VPD) compared to high residual BA plots (20 m<sup>2</sup> ha<sup>-1</sup>). At the tree scale, Fd increased with residual BA, with the most pronounced differences under dry atmospheric conditions: when daily VPD exceeded 1.1 kPa, mean Fd in high residual BA plots was respectively 20% and 75% greater than in medium (12.5 m<sup>2</sup> ha<sup>-1</sup>) and low residual BA plots. At the stand level, we simulated total transpiration considering the stand as only made of red maples. The transpiration in medium and low residual BA plots amounted to 41% and 79% of transpiration simulated in the high residual BA plot. Overall, this work highlighted broad variation in response to residual BA treatments, emphasizing the need to better model forest water budgets, and partitioning overstory and understory evapotranspiration to make more adequate residual BA prescriptions in temperate forests.
DOI: 10.5281/zenodo.6795763
title: Short-term effect of thinning on red maple transpiration in a temperate mixed forest

description: Under climate change, forests are expected to experience drier conditions that may increase tree mortality. Silvicultural treatments, such as thinning, have been proposed to reduce moisture competition and to improve forest resistance to drought events. Most studies have investigated the effectiveness of thinning under semi-arid conditions, while little information is available regarding temperate forest responses, together with the residual basal area (BA) that is required to reap the benefits of these treatments. This research aims to understand how the residual BA influences transpiration in mixed temperate forest stands that are dominated by red maple (<em>Acer rubrum</em>) in southeastern Canada. We monitored the sap flux density (Fd) with thermal dissipation-type sensors for 18 red maples spread across nine experimental plots that were thinned to obtain a gradient of residual BA (20, 12.5, 6 m<sup>2</sup> ha<sup>-1</sup>). The study was conducted during the first growing season following treatment. Low residual BA plots (6 m<sup>2</sup> ha<sup>-1</sup>) incurred drier atmospheric conditions as shown by a greater vapor pressure deficit (VPD) compared to high residual BA plots (20 m<sup>2</sup> ha<sup>-1</sup>). At the tree scale, Fd increased with residual BA, with the most pronounced differences under dry atmospheric conditions: when daily VPD exceeded 1.1 kPa, mean Fd in high residual BA plots was respectively 20% and 75% greater than in medium (12.5 m<sup>2</sup> ha<sup>-1</sup>) and low residual BA plots. At the stand level, we simulated total transpiration considering the stand as only made of red maples. The transpiration in medium and low residual BA plots amounted to 41% and 79% of transpiration simulated in the high residual BA plot. Overall, this work highlighted broad variation in response to residual BA treatments, emphasizing the need to better model forest water budgets, and partitioning overstory and understory evapotranspiration to make more adequate residual BA prescriptions in temperate forests.
DOI: 10.15468/dl.n6z8jq
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((72 25,105 25,105 40,72 40,72 25))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sinopodophyllum hexandrum (Royle) T.S.Ying"
 ]
}

 The dataset includes 448 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011352-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87rua4
title: Occurrence Download

description: A dataset containing 691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tylosurus acus (Lacepède, 1803)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 691 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081725-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z25fj8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Madanga ruficollis Rothschild & Hartert, 1923",
 "Year 1950-2021"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038544-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb67zd
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apogonichthyoides nigripinnis (Cuvier, 1828))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051868-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asgrnp
title: Occurrence Download

description: A dataset containing 17912473 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 17912473 records from 3252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106918-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1179484.09fu
title: SH1179484.09FU

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/sh1179485.09fu
title: SH1179485.09FU

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/sh1179486.09fu
title: SH1179486.09FU

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/sh1179487.09fu
title: SH1179487.09FU

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/sh1179488.09fu
title: SH1179488.09FU

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/sh1179489.09fu
title: SH1179489.09FU

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/sh1179490.09fu
title: SH1179490.09FU

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/sh1179491.09fu
title: SH1179491.09FU

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/sh1179492.09fu
title: SH1179492.09FU

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.