cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/158743
title: Meteorological Station data collected during research cruise RC0090 using a RMYoung 26800 instrument system onboard the platform RV Rachel Carson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/158750
title: Radiometer data collected during research cruise RC0090 using a Biospherical QSP-2150 instrument system onboard the platform RV Rachel Carson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/158718
title: Singlebeam Echosounder data collected during research cruise RC0090 using a Kongsberg ES38B instrument system onboard the platform RV Rachel Carson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.fgwmck
title: Occurrence Download

description: A dataset containing 3844 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is one of (Amphibalanus amphitrite (Darwin, 1854))"
 ]
}

 The dataset includes 3844 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083931-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7284/158752
title: TSG (Thermosalinograph) data collected during research cruise RC0090 using a SeaBird SBE-45 instrument system onboard the platform RV Rachel Carson

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15468/dl.wfjb26
title: Occurrence Download

description: A dataset containing 4727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paederia foetida L.",
 "Country is China",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4727 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083932-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqjtx8
title: Occurrence Download

description: A dataset containing 188262830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((-20.52378 25.7571,45.3072 25.7571,45.3072 60.38867,-20.52378 60.38867,-20.52378 25.7571))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 188262830 records from 25886 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082289-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1294366.09fu
title: SH1294366.09FU

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/sh1294367.09fu
title: SH1294367.09FU

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/sh1294368.09fu
title: SH1294368.09FU

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/sh1294369.09fu
title: SH1294369.09FU

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/sh1294370.09fu
title: SH1294370.09FU

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/sh1294371.09fu
title: SH1294371.09FU

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/sh1294372.09fu
title: SH1294372.09FU

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/sh1294373.09fu
title: SH1294373.09FU

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: 10.5281/zenodo.7852949
title: BRDF-data for the Metrologia article "Accounting for polarization–related effects in the measurement of the bidirectional reflectance distribution function"

description: This zip-file includes the BRDF-data used in the article "Accounting for polarization–related effects in the measurement of the bidirectional reflectance distribution function" published in Metrologia 57 (2020).
DOI: 10.5281/zenodo.7852948
title: BRDF-data for the Metrologia article "Accounting for polarization–related effects in the measurement of the bidirectional reflectance distribution function"

description: This zip-file includes the BRDF-data used in the article "Accounting for polarization–related effects in the measurement of the bidirectional reflectance distribution function" published in Metrologia 57 (2020).
DOI: 10.25345/c5zp3w95f
title: MassIVE MSV000091768 - Metabolomic characterization of behaviorally manipulated ants with multiomic data integration
title: For manipulated ant collection, the sample was then placed in a pre-chilled, sterile 2 mL microcentrifuge tube kept in liquid nitrogen until long-term storage at -80 C. We collected sham ant samples in a similar manner, lifting them from the experiment box with forceps. We also collected three blank samples at the beginning, middle, and end of manipulated ant sampling, i.e., after the first, 10th, and 20th manipulated ants were found (n = 3). We made blanks by briefly touching the forceps to the floor of the sham treatment housing boxes, submerging them in liquid nitrogen, and swirling them in a microcentrifuge tube. The WCMC processed samples in three LC-MS/MS protocols broadly tailored toward different chemistries: biogenic amines, polyphenols and flavonoids, and complex lipids. From the 20 samples collected per infection and sham treatments, the WCMC collected polyphenol data for ten individual ant heads. They used the remaining ten heads per treatment for biphasic extractions, with each individual head used for both biogenic amines and lipids. Blank-collection samples were shared across the three LC-MS/MS chemistries. The WCMC produced quality-control (QC) pool samples consisting of all samples used per protocol and additional blank-extraction controls (and therefore distinct from our experimental blanks made during sample collection). These WCMC control samples were run at the beginning and every ten samples thereafter per protocol. All LC-MS/MS protocols collected MS/MS data in a top-four data-dependent-acquisition (DDA) mode in both electrospray ionization (ESI) positive and negative modes. See associated publication for full details.
DOI: 10.3886/e151781
title: Code for: Targeted product design

description: We propose an intuitive representation of product design in which firms locate inside a circle and consumers in its outer circumference. Designs trade-off horizontal and vertical transport costs. Our setting encompasses all linear demand rotations. Firms with lower quality and/or higher marginal costs choose niche designs that cater to specific consumers at the expense of alienating the rest. Firms choose intermediate designs or more polarized ones instead depending on the convexity of the vertical transport cost. We examine such design choices in monopoly, duopoly, and monopolistic competition settings.
DOI: 10.3886/e151781v1
title: Code for: Targeted product design

description: We propose an intuitive representation of product design in which firms locate inside a circle and consumers in its outer circumference. Designs trade-off horizontal and vertical transport costs. Our setting encompasses all linear demand rotations. Firms with lower quality and/or higher marginal costs choose niche designs that cater to specific consumers at the expense of alienating the rest. Firms choose intermediate designs or more polarized ones instead depending on the convexity of the vertical transport cost. We examine such design choices in monopoly, duopoly, and monopolistic competition settings.
DOI: 10.5519/qd.z9fqnabo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (113 records)
DOI: 10.25403/upresearchdata.20311398
title: Adolescent resilience support from personal resources

description: Data for a qualitative study undertaken to understand the resilience of adolescents living in a township stressed by petrochemical pollution and associated risks.This was followed by a phenomenological research design to achieve the purpose of data collection.Ten adolescents participated in the study. The participants had previously participated in the 2017 data generation. The primary data were analysed using inductive thematic content analysis and the secondary data were analysed using deductive thematic content analysis. The personal resources that enabled the adolescent’s resilience over time were keeping a positive mindset, looking after their bodies, looking to the future and being social.
DOI: 10.25403/upresearchdata.20311398.v1
title: Adolescent resilience support from personal resources

description: Data for a qualitative study undertaken to understand the resilience of adolescents living in a township stressed by petrochemical pollution and associated risks.This was followed by a phenomenological research design to achieve the purpose of data collection.Ten adolescents participated in the study. The participants had previously participated in the 2017 data generation. The primary data were analysed using inductive thematic content analysis and the secondary data were analysed using deductive thematic content analysis. The personal resources that enabled the adolescent’s resilience over time were keeping a positive mindset, looking after their bodies, looking to the future and being social.
DOI: 10.5281/zenodo.7839719
title: HPRC-CHM13 PanGenie results

description: <strong>HPRC-CHM13 PanGenie results</strong> Input VCF used for PanGenie for the HPRC experiments based on CHM13, as well as genotyping results, statistics and filters computed. All experiments are based on the Minigraph-Cactus (MC) graph. PanGenie v2.1.1 was used. <strong>Note:</strong> PanGenie results for CHM13 provided here are <strong>not</strong> directly comparable to the GRCh38-based ones provided here: https://doi.org/10.5281/zenodo.6797328. While v1.0.0 was used to produce GRCh38-based results, a newer, more accurate version (v2.1.1) was used to produce the CHM13-based results provided here. Experiments were run at Heinrich-Heine University Düsseldorf by Jana Ebler (ebler@hhu.de). Pipelines used to produce these results are here: https://github.com/eblerjana/genotyping-pipelines/tree/main/benchmarking-pipeline <strong>How to run PanGenie on the MC variants</strong> We ran PanGenie using the file "chm13_cactus_filtered_ids.vcf.gz" as input (contained in this repository). It was produced from the file "hprc-v1.0-mc-chm13.vcf.gz" generated from the MC graph using vg decompose. The output VCF generated by PanGenie can be converted into a bi-allelic VCF containing a single record for each (nested) variant allele, i.e. after decomposing large bubbles into their nested variants using the script: https://bitbucket.org/jana_ebler/hprc-experiments/src/master/genotyping-experiments/workflow/scripts/convert-to-biallelic.py <pre><code># run PanGenie, produces genotyped VCF "pangenie_genotyping.vcf" PanGenie -i &lt;input-reads&gt; -v chm13_cactus_filtered_ids.vcf -r &lt;reference-genome&gt; -o pangenie -j 24 -t 24 # decompose bubbles and produce a bi-allelic VCF with genotypes for each (nested) allele cat pangenie_genotyping.vcf | python3 convert-to-biallelic.py chm13_cactus_filtered_ids_biallelic.vcf &gt; pangenie_genotyping_biallelic.vcf</code></pre>
DOI: 10.5281/zenodo.7839718
title: HPRC-CHM13 PanGenie results

description: <strong>HPRC-CHM13 PanGenie results</strong> Input VCF used for PanGenie for the HPRC experiments based on CHM13, as well as genotyping results, statistics and filters computed. All experiments are based on the Minigraph-Cactus (MC) graph. PanGenie v2.1.1 was used. <strong>Note:</strong> PanGenie results for CHM13 provided here are <strong>not</strong> directly comparable to the GRCh38-based ones provided here: https://doi.org/10.5281/zenodo.6797328. While v1.0.0 was used to produce GRCh38-based results, a newer, more accurate version (v2.1.1) was used to produce the CHM13-based results provided here. Experiments were run at Heinrich-Heine University Düsseldorf by Jana Ebler (ebler@hhu.de). Pipelines used to produce these results are here: https://github.com/eblerjana/genotyping-pipelines/tree/main/benchmarking-pipeline <strong>How to run PanGenie on the MC variants</strong> We ran PanGenie using the file "chm13_cactus_filtered_ids.vcf.gz" as input (contained in this repository). It was produced from the file "hprc-v1.0-mc-chm13.vcf.gz" generated from the MC graph using vg decompose. The output VCF generated by PanGenie can be converted into a bi-allelic VCF containing a single record for each (nested) variant allele, i.e. after decomposing large bubbles into their nested variants using the script: https://bitbucket.org/jana_ebler/hprc-experiments/src/master/genotyping-experiments/workflow/scripts/convert-to-biallelic.py <pre><code># run PanGenie, produces genotyped VCF "pangenie_genotyping.vcf" PanGenie -i &lt;input-reads&gt; -v chm13_cactus_filtered_ids.vcf -r &lt;reference-genome&gt; -o pangenie -j 24 -t 24 # decompose bubbles and produce a bi-allelic VCF with genotypes for each (nested) allele cat pangenie_genotyping.vcf | python3 convert-to-biallelic.py chm13_cactus_filtered_ids_biallelic.vcf &gt; pangenie_genotyping_biallelic.vcf</code></pre>
DOI: 10.6084/m9.figshare.22194535.v1
title: FEEDS database

description: MEROPS database and DIAMOND builded file to use in the FEEDS tools.
DOI: 10.6084/m9.figshare.22674415
title: Base datos interv crisis y riesgo suicida ps covid.sav

description: Data related to the study: Implementation Science of Remote Crisis Intervention and Suicide Risk Management in Mexican COVID-19 Frontline Healthcare Workers
DOI: 10.6084/m9.figshare.22674415.v1
title: Base datos interv crisis y riesgo suicida ps covid.sav

description: Data related to the study: Implementation Science of Remote Crisis Intervention and Suicide Risk Management in Mexican COVID-19 Frontline Healthcare Workers
DOI: 10.5281/zenodo.7853000
title: Data for the paper: Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants

description: Data used for the paper "Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants".
DOI: 10.5281/zenodo.7852999
title: Data for the paper: Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants

description: Data used for the paper "Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants".