cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1194716.10fu
title: SH1194716.10FU

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/sh1194717.10fu
title: SH1194717.10FU

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/sh1194719.10fu
title: SH1194719.10FU

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/sh1194721.10fu
title: SH1194721.10FU

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: 10.17028/rd.lboro.28123439.v1
title: ShinyApps Index

description: A list of R/Shiny apps created by Lara Skelly.
DOI: 10.15468/dl.r39jyc
title: Occurrence Download

description: A dataset containing 2999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 2999 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054288-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sez77w
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Synaphobranchidae, Synaphobranchidae, 210217902, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, SYNAPHOBRANCHIDAE, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 206089716, 203872736, Synaphobranchidae, 203914455, 197291703, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 209346380, Synaphobranchidae, 203914541, Synaphobranchidae, Synaphobranchidae, 212269499, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 211761750, Synaphobranchidae, Synaphobranchidae, 203913864, Synaphobranchidae, 205845395, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 187337761, Synaphobranchidae, 210654891, 205982694, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 158165076, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 203894372, Synaphobranchidae, Synaphobranchidae, 212108483, 205318170, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, 205973825, 212263785, 205973125, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae, Synaphobranchidae Johnson, 1862, Synaphobranchidae Johnson, 1862, 161469170, Synaphobranchidae Johnson, 1862, Synaphobranchidae J.Y.Johnson 1862, Synaphobranchidae J.Y.Johnson, 1862, Synaphobranchidae Johnson, 1862, Synaphobranchidae Johnson, 1862, Dysommidae, Todaridae, Dysommidae Gill, 1893, Nettodaridae, Dysommidae Gill, 1893, Simenchelyidae, Dysommidae, Dysommatidae, Dysommatidae Steyskal, 1980, Simenchelyidae, Simenchelyidae Gill, 1879, Dysomminidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054289-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10355055
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.wxwh52
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 158161835, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 197290082, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 205001123, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 211760054, 210218853, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 204761236, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, CERATIIDAE, Ceratiidae, Ceratiidae, Ceratiidae, Ceratiidae, 209346112, Ceratiidae, Ceratiidae, Ceratiidae Gill, 1861, Ceratiidae T.N.Gill, 1861, Ceratiidae Gill, 1861, Ceratiidae Gill, 1861, Ceratiidae Gill, 1861, 161460543, Ceratiidae Gill, 1861)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054291-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xvsgb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Serrivomeridae, SERRIVOMERIDAE, Serrivomeridae, Serrivomeridae, 209346388, 197285817, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, 206089713, 205000585, Serrivomeridae, Serrivomeridae, 158164586, 210217864, 205973136, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, 212101645, 211761746, 205982702, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, 203894374, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, Serrivomeridae, 161469220, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Serrivomeridae Trewavas, 1932, Nemichthyidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054290-241126133413365/datasets/export for details.
DOI: 10.15468/dl.c9svs4
title: Occurrence Download

description: A dataset containing 27504 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus albus L."
 ]
}

 The dataset includes 27504 records from 695 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054292-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15125/bath-01431
title: Dataset and code for: Expanding scenario diversity in prospective LCA: Coupling the TIAM-UCL integrated assessment model with Premise and ecoinvent

description: This dataset contains TIAM-UCL scenario and mapping files designed for use with Premise, a Python-based tool for prospective life cycle assessment (LCA). TIAM-UCL is an integrated assessment model (IAM) that projects future scenarios for energy systems and their environmental impacts. The dataset includes four climate change mitigation scenarios, ranging from limiting global warming to 1.5°C to 3.0°C, across 16 global regions. These scenarios cover key sectors such as electricity, fuels, and steel, projecting production volumes, technology mixes, and efficiencies. Examples include the phase-out of fossil fuels and the increased adoption of renewable energies. While primarily developed for LCA applications within Premise, these data can be utilized in other contexts as well. The dataset, code, and additional figures also serve as supplementary information 1-4 for the associated paper.
description: The data was collected directly from the TIAM-UCL model at University College London as several Excel-based outputs. The data defined multiple technology variables across various sectors, regions, and year periods.
description: These outputs were combined and processed using Python to fulfil the mapping formatting of the intended Premise software and obtain the final files published in this data set.
description: The data can be viewed and used with Microsoft Excel. If needed, raw, unprocessed data can be obtained directly from TIAM-UCL by contacting the relevant authors.
DOI: 10.15468/dl.25rqg8
title: Occurrence Download

description: A dataset containing 15840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amaranthus blitoides S.Watson"
 ]
}

 The dataset includes 15840 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054293-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28123502.v1
title: Resistant_gene_table for B.thuringiensis_LBA001 .xlsx

description: The data described the identified resistant genes in B. thuringiensis LBA001
DOI: 10.6084/m9.figshare.28123502
title: Resistant_gene_table for B.thuringiensis_LBA001 .xlsx

description: The data described the identified resistant genes in B. thuringiensis LBA001
DOI: 10.15468/dl.m8zrj3
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Congridae, 203914553, 205318200, 212263770, 205318213, 209346372, Congridae, 204214194, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, 212269508, 202995508, Congridae, Congridae, 205994256, 158165280, 209459616, 204975614, Congridae, Congridae, Congridae, Congridae, Congridae, 203914570, 212108495, Congridae, 203914564, Congridae, Congridae, Congridae, Congridae, 204357423, Congridae, Congridae, Congridae, Congridae, 205982686, 206089731, Congridae, 210654773, Congridae, Congridae, 205279700, 157073644, Congridae, 205909932, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, 209454601, Congridae, Congridae, 212423187, 205851017, Congridae, 212386410, 205909925, Congridae, Congridae, Congridae, 205973179, 203914590, 212360821, 210217868, Congridae, 206089510, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, 203894376, Congridae, 205913679, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, 211761762, 203695412, Congridae, 205000602, Congridae, Congridae, 212282697, Congridae, Congridae, 212101642, Congridae, Congridae, Congridae, 210655869, Congridae, 205891476, 209340673, 206023541, Congridae, Congridae, 203914596, Congridae, 197287461, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, 210656546, 205318194, Congridae, 205907184, Congridae, 204763166, 204090722, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, CONGRIDAE, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae, Congridae Kaup, 1856, Congridae Kaup, 1856, Congridae Kaup, 1856, Congridae Gill, 1861, Congridae Kaup, 1856, Congridae Kaup, 1856, Congridae Smith 2018, 161470143, Congridae Kaup, 1856, Congridae Kaup, 1856, Congridae Kaup, 1856, Congridae Smith 2018, Congridae Kaup, 1856, Nettastomatidae Bleeker, 1864, Pelagornithidae Fürbringer, 1888, Macrocephenchelyidae Fowler, 1934, Macrocephenchelyidae, Macrocephenchelyidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054294-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.8386
title: Dataset for: Remembering events from the Lebanese Civil War, Construals of violence, and ingroup identification, and the impact on perspective-taking and reconciliation attitudes. A mixed-method approach

description: The data was collected in 2020, in the context of a doctoral thesis in social and cultural psychology at the University of Brussels, Belgium. Thesis title: Were we all victims and perpetrators? How national and religious identifications and processes of victimhood and responsibility attributions for the civil war affect present-day intergroup relations in Lebanon. This thesis aims to study the role of ingroup identification in shaping construals of group victimhood and responsibility attributions, in addition to the impact of these factors on intergroup relations. We choose to study this phenomenon in the context of the Lebanese civil war, in Lebanese citizens currently residing in Lebanon, evaluating two types of ingroup identification (national and religious) in the two main religious groups (Christians and Muslims). Quantitative and qualitative data collected via online survey among Lebanese citizens currently residing in Lebanon. This project aimed to assess the effect of free recalling of past events (civil war events), in addition to ingroup identification, on construals of violence (victimhood and responsibility attributions) on intergroup relations in Lebanon and other factors (Reconciliation attitudes and perspective-taking). Method of data collection (sample description, procedure, variables scales and items), and a codebook (variables names and their code explained, to better understand the csv and sav data files) are provided. CMLCW P3: Collective Memory of The Lebanese Civil War (project acronym) Project #3 (the thesis included 5 projects/Datasets). Qualitative data included are anonymized: events recalled were slightly edited/rephrased to ensure extra anonymity. Raw qualitative data (non-edited) is kept closed but can be requested from authors for specific use and context, under a restricted access.
description: Dataset of the project in two different formats; Method and Codebook of Dataset
DOI: 10.23668/psycharchives.8240
title: Dataset for: Factors impacting intention to use smart technology enabled care services among family carers of older people in the context of long-distance care (J5‐1785)
title: Informal care of older family members or relatives in Slovenia and informal caregivers' attitudes towards new technologies.

description: The dataset contains original data for a wide range of indicators of informal care for older people in Slovenia. A sample of participants aged 40+ in Slovenia (N=781) was surveyed via an online access panel between 09/04/2021 and 06/05/2021. The questionnaire consists of several thematic sections: demographic information, health status and care needs of the older adults; caregiving situation, care burden, use of new technologies, attitudes towards new technologies, interest in the use of telecare, TAM questions about the use of telecare; perceived outcomes of telecare use; COVID-19 impact on the caregiving situation; demographic information about informal caregivers. The structure of the survey aimed to provide a comprehensive overview of factors affecting intentions to use telecare services among informal caregivers of older adults.
DOI: 10.5281/zenodo.10362445
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.
Original source: BNetzA Ladesaeulenregister (from 01.07.2023)
Cleaning and annotation scripts: FAIR Charging station data
Metadata key reference: OEMETADATA Key description
The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:
 

import frictionless as fl

package = fl.Package('bnetza_charging_stations_normalised_01_07_2023.json')
DOI: 10.5281/zenodo.12683356
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.

Original source: BNetzA Ladesaeulenregister (from 12.12.2023)

Cleaning and annotation scripts: FAIR Charging station data

Metadata key reference: OEMETADATA Key description

The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:

 



import frictionless as fl




package = fl.Package('bnetza_charging_stations_normalised_12_12_2023.json')
DOI: 10.5281/zenodo.14587365
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.

Original source: BNetzA Ladesaeulenregister (from 16.07.2024)

Cleaning and annotation scripts: FAIR Charging station data

Metadata key reference: OEMETADATA Key description

The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:

 



import frictionless as fl




package = fl.Package('bnetza_charging_stations_normalised_16_07_2024.json')
DOI: 10.5281/zenodo.14587399
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.

Original source: BNetzA Ladesaeulenregister (from 01.12.2024)

Cleaning and annotation scripts: FAIR Charging station data

Metadata key reference: OEMETADATA Key description

The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:

 



import frictionless as fl




package = fl.Package('bnetza_charging_stations_normalised_01_12_2024.json')
DOI: 10.5281/zenodo.10362444
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.

Original source: BNetzA Ladesaeulenregister (from 01.12.2024)

Cleaning and annotation scripts: FAIR Charging station data

Metadata key reference: OEMETADATA Key description

The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:

 



import frictionless as fl




package = fl.Package('bnetza_charging_stations_normalised_01_12_2024.json')
DOI: 10.5281/zenodo.12683380
title: FAIR Charging Station data package (Normalised)

description: FAIR and normalised dataset based on the BNetzA charging station data.

Original source: BNetzA Ladesaeulenregister (from 21.03.2024)

Cleaning and annotation scripts: FAIR Charging station data

Metadata key reference: OEMETADATA Key description

The data can be loaded individually from the csv files or as a whole using frictionless.py, for example, unzipping and calling:

 



import frictionless as fl




package = fl.Package('bnetza_charging_stations_normalised_21_03_2024.json')