cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210646.10fu
title: SH0210646.10FU

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/sh0210647.10fu
title: SH0210647.10FU

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/sh0210648.10fu
title: SH0210648.10FU

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/sh0210649.10fu
title: SH0210649.10FU

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/sh0210650.10fu
title: SH0210650.10FU

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.jsgdum
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Sarcophilus harrisii (Boitard, 1841)"
 ]
}

 The dataset includes 844 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090102-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4xvqn
title: Occurrence Download

description: A dataset containing 89365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycaena virgaureae (Linnaeus, 1758)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89365 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059926-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jcuug
title: Occurrence Download

description: A dataset containing 3327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Phalacrocorax bougainvillii (Lesson, 1837)"
 ]
}

 The dataset includes 3327 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012129-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf2vkn
title: Occurrence Download

description: A dataset containing 135089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plebejus argus (Linnaeus, 1758)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 135089 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059958-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8wtma
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Melipona cramptoni Cockerell, 1920"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123514-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygm2yr
title: Occurrence Download

description: A dataset containing 4928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4928 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012131-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq8wfu
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema arabicum (L.) Andrz. ex Lipsky"
 ]
}

 The dataset includes 569 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059938-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enjwb9
title: Occurrence Download

description: A dataset containing 1063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 1063 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000780-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a0o2o
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosopis argentina Burkart"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012136-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptjne4
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neozephyrus japonicus (Murray, 1874)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059928-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kelpmv
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosopis argentina Burkart"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012138-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktdqfw
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sternopygus macrurus (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 2219 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343497-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tu4hcd
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema diastrophis Bunge"
 ]
}

 The dataset includes 134 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059953-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ltqiq
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosopis argentina Burkart"
 ]
}

 The dataset includes 38 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012145-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uetsyw
title: Occurrence Download

description: A dataset containing 147974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 147974 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117411-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4y2gy
title: Occurrence Download

description: A dataset containing 6309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phengaris teleius (Bergsträsser, 1779)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6309 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059954-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq5uh9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema sabzevaricum Khosravi & Joharchi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059989-231120084113126/datasets/export for details.
DOI: 10.15468/dl.bhkhn4
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rileyiana fovea Treitschke, 1825"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090109-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eebwm8
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingOrg is 10980920-6dad-11da-ad13-b8a03c50a862",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "PublishingOrg is 6c4a0bb0-2a4d-11d8-aa2d-b8a03c50a862",
 "PublishingOrg is 95cb537c-74c5-4c1e-ae24-32e7ea08f380"
 ]
 },
 "Year 1700-2019",
 "Geometry POLYGON((-3.36605 36.62517,-1.08760 36.62517,-1.08760 37.64048,-3.36605 37.64048,-3.36605 36.62517))",
 "HasCoordinate is true",
 "TaxonKey is Odonata",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012137-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7497gc
title: Occurrence Download

description: A dataset containing 14172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema saxatile (L.) R.Br."
 ]
}

 The dataset includes 14172 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059991-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15640303
title: Dataset of "Electrochemical Signatures in Proton Exchange Membrane Fuel Cells: A Comprehensive Study Based on Distribution of Relaxation Times"

description: The Distribution of Relaxation Times (DRT) method is increasingly applied to electrochemical impedance spectroscopy (EIS) for polymer electrolyte membrane fuel cells (PEMFCs), yet peak interpretation remains challenging due to overlapping processes and sensitivity to operating conditions. In this work, impedance spectra were measured on a well-defined single PEMFC across a broad experimental matrix, including variations in voltage, temperature, pressure, gas stoichiometry, and oxidant type. The novelty of this study lies not in the identification of peaks themselves, but in the systematic quantification of how their relative contributions evolve under such diverse conditions. A non-linear statistical framework was employed to reveal correlations between peaks and operating parameters, thereby elucidating the highly non-linear mechanistic interplay underlying PEMFC operation. This approach also enables assessment of the statistical significance of peaks, distinguishing genuine electrochemical features from phantom peaks, while the presentation of the average DRT reconstruction error with confidence intervals highlights non-negligible uncertainties in the high-frequency region.Dataset collected by Francesco Mazzeo during his research period abroad at the University of Chemistry and Technology Prague as part of his PhD program at Politecnico di Torino, carried out within the PNRR-NGEU project, which received funding from the MUR – DM 352/2022, as well as from Eaton.
DOI: 10.5258/soton/d3679
title: Dataset supporting thesis titled: 'A thematic analysis and a systematic review examining psychological and health care professionals' language on shame in those living with diabetes'

description: Dataset supporting thesis titled: 'A thematic analysis and a systematic review examining psychological and health care professionals’ language on shame in those living with diabetes'
DOI: 10.15468/dl.uaucxe
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole pallidula",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053909-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/y3ebtm
title: parforWaitbar.m

description: Follow the progression of a parallelized loop (by Maher HAMDI)
https://www.mathworks.com/matlabcentral/fileexchange/66047-parforwaitbar
DOI: 10.57745/srelrh
title: PartBehave_Id.m

description: Main script to identifiy particular behaviors
DOI: 10.57745/w72fey
title: Highlight_anomaly.m

description: Highlight particular behaviors
DOI: 10.57745/qxzukc
title: getindex.m

description: used in preprocess_optim to manipulate hourly data
https://www.mathworks.com/help/bioinfo/ref/gtfannotation.getindex.html
DOI: 10.57745/zsdc0x
title: FindValleys.m

description: used in preprocess_optim to find daily valley for Tw
DOI: 10.57745/u1cttc
title: Preprocess_optim.m

description: Preprocess data
DOI: 10.57745/9rsrrl
title: Readme.txt

description: Description of files and how to use them
DOI: 10.57745/dszbwj
title: DataColor.mat

description: Selection of color codes to plot nice graphs
DOI: 10.57745/8uqmf1
title: FindPeaks.m

description: used in preprocess_optim to find daily peaks for Tw
DOI: 10.57745/p0anr0
title: SeparateY.m

description: used in preprocess_optim to sort data by year
DOI: 10.57745/iic4bw
title: Scripts and preprocessed dataset for An identification method for two types of particular behaviors in stream temperature time series. Application to a national dataset in mainland France

description: The measurement of the stream water temperature signal is subject to various issues and environmental phenomena. Accurate interpretations of the data composing water temperature time series (WTS) often requires a high-level human expertise during data preprocessing steps to sort out meaningful temperature signals. This study proposes a method to highlight two main types of particular behaviors encountered in WTS, apart from outliers: intensified data and buffered data. The method uses a metric based on the WTS itself to identify periods with particular data. It enables the identification and the visualization of regular and irregular particular behaviors in a given WTS. The method was applied to a large national dataset collected in mainland France. The dataset contains 993 WTS with a wide range of data quality and environmental measurement conditions. Data identified as particular behavior accounts for up to 7% of the dataset. Depending on the measurement conditions, up to 25% of a given WTS data can be considered as ”occasional particular behavior” and potentially not exploitable. Buffered data mostly occur during winter months with no apparent spatial pattern. Intensified data occur mainly in summer months and a spatial pattern shows WTS containing the highest percentage of intensified data in the south-east part of the study area. The identification method was also applied to several known situations where a high-level human expertise was available. It provided robust identification performances at regional scale confronted to human expertise as well as at national scale, on a large dataset. Such methods can facilitate the selection of exploitable data in large datasets which are more widely available today. Potentially problematic data becomes straightforward and subsequent data qualification or correction is facilitated.
DOI: 10.57906/e4yc-3759
title: Low Carbon and Renewable Energy Economy Survey - UK
DOI: 10.26023/34yf-6n1n-260x
title: INDOEX: Diego Garcia Daily Operations Area Forecast. Version 1.0

description: This data set contains the Diego Garcia Meteorology Daily Operations Area Forecasts.
DOI: 10.3886/e205561
title: Data and Code for: Common Ownership and Market Entry: Evidence from the Pharmaceutical Industry

description: Data and Code for Common Ownership and Market Entry: Evidence from the Pharmaceutical Industry<br><br>Abstract: Common ownership - where several firms are (partially) owned by the same in-vestors - and its impact on product market competition has recently drawn muchattention. This paper focuses on its implications for market entry. We considerthe entry decisions of generic pharmaceutical firms into drug markets that areopened up by the end of regulatory protection and which were previously domin-ated by a single firm selling the brand name drug. We find robust evidence thatan increase in common ownership leads to a significant reduction in generic entry.
description: Pharmaceutical markets at the end of regulatory protection.
DOI: 10.3886/e205561v1
title: Data and Code for: Common Ownership and Market Entry: Evidence from the Pharmaceutical Industry

description: Data and Code for Common Ownership and Market Entry: Evidence from the Pharmaceutical Industry<br><br>Abstract: Common ownership - where several firms are (partially) owned by the same in-vestors - and its impact on product market competition has recently drawn muchattention. This paper focuses on its implications for market entry. We considerthe entry decisions of generic pharmaceutical firms into drug markets that areopened up by the end of regulatory protection and which were previously domin-ated by a single firm selling the brand name drug. We find robust evidence thatan increase in common ownership leads to a significant reduction in generic entry.
description: Pharmaceutical markets at the end of regulatory protection.