cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7317852
title: Synthesis of both Enantiomers of 3-Hydroxydodecanedioic Acid

description: Experimental procedures for the preparation of 


Diethyl decanedioate
Diethyl 3-oxododecanedioate
Diethyl rac-3-hydroxydodecanedioate
Diethyl (R)-3-hydroxydodecanedioate
Diethyl(S)-3-hydroxydodecanedioate
(R)-3-Hydroxydodecanedioic acid and (S)-3-hydroxydodecanedioic acid


are reported. Data such as 1H-NMR, 13C-NMR, Rf values, FT.IR, and HRMS data are reported. Copies of NMR spectra are provided. Mosher analyses of compounds are provided.
DOI: 10.5281/zenodo.7317853
title: Synthesis of both Enantiomers of 3-Hydroxydodecanedioic Acid

description: Experimental procedures for the preparation of 


Diethyl decanedioate
Diethyl 3-oxododecanedioate
Diethyl rac-3-hydroxydodecanedioate
Diethyl (R)-3-hydroxydodecanedioate
Diethyl(S)-3-hydroxydodecanedioate
(R)-3-Hydroxydodecanedioic acid and (S)-3-hydroxydodecanedioic acid


are reported. Data such as 1H-NMR, 13C-NMR, Rf values, FT.IR, and HRMS data are reported. Copies of NMR spectra are provided. Mosher analyses of compounds are provided.
DOI: 10.15454/yt6mq9/xftvyg
title: PGD_CIRM-CF_V2_20220103_FR.pdf

description: :unav
DOI: 10.6084/m9.figshare.28903805
title: biogeo_niche_alpine_plant

description: Data and code for "Biogeochemical niche differentiation stabilizes species coexistence in alpine wetlands"All R scripts use relative paths and assume the working directory is the one where the code is located.Contents:This file contains the dataset and R code used in this study.In this dataset file, we contain 12 sheets.Sheet 1, named "Metadata" contains a detailed description of the abbreviations that appear in the dataset.Sheet 2, named "47spe_list", represents 47 wetland plant species involved in this study;Sheet 3, named "plant_BN", represents the leaf elementome data of 47 species;Sheet 4, named "plant_BN_tem ", represents the leaf elementome data of 47 species under different temperature;Sheet 5, named "spe_tem_group", represents the 10 species under different temperature;Sheet 6, named "site_spe", represents the presence/occurrence of each species in the site;Sheet 7, named "absolute_coexistence", represents the absolute coexisting frequency between the 15 species;Sheet 8, named "relative_coexistence", represents the relative coexisting frequency between the 15 species;Sheet 9, named "coex_freq", includes species coexisting frequency and elementome distance;Sheet 10, named "hypervolume_coex_corr ", includes species coexisting frequency, biogeochemical niche hypervolume distance and overlap between two species;Sheet 11, named "15spe_16ele, includes the concentrations and their differences of 16 elements among 15 species;Sheet 12, named "elementome_div", includes species richness, Shannon-Wiener index and elementome diversity at community-level.
DOI: 10.5281/zenodo.7713131
title: Data collected in Malaysia

description: Data collected in Malaysia over the duration of the project. This includes quantitative and qualitative data from surveys, interviews and focus groups collected online and face to face.
DOI: 10.5281/zenodo.7713132
title: Data collected in Malaysia

description: Data collected in Malaysia over the duration of the project. This includes quantitative and qualitative data from surveys, interviews and focus groups collected online and face to face.
DOI: 10.6084/m9.figshare.28903820
title: social media

description: social media
DOI: 10.6084/m9.figshare.28903799
title: Data set for Reliability, Correlation, and Influencing Factors of the 1-Minute Sit-to-Stand, 3-Minute Chair Rise, and 3-Minute Walk Tests in Healthy Adults: A Cross-Sectional Study

description: This dataset was generated as part of the study titled <i>"Reliability, Correlation, and Influencing Factors of the 1-Minute Sit-to-Stand, 3-Minute Chair Rise, and 3-Minute Walk Tests in Healthy Adults: A Cross-Sectional Study."</i> It includes anonymized data on demographic characteristics, physiological measures, and performance outcomes from field exercise tests conducted on a sample of healthy adults. The dataset supports the analyses and findings reported in the manuscript.
DOI: 10.15468/dl.2k3mas
title: Occurrence Download

description: A dataset containing 22442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocaulon Elliott"
 ]
}

 The dataset includes 22442 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007841-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-857810
title: Automated Bus Service: Scottish Bus Users Pre-Trial Data, 2021

description: This study aimed to comprehensively measure the views of bus passengers towards a pilot automated bus service operating on a route running from Fife, across the Forth Road Bridge into Edinburgh. 

The quantitative survey data was used to help us understand how Scottish residents feel about emerging bus automation technology. In addition to gathering respondents sociodemographic data, they were asked questions about their perceptions towards technology, vehicle automation, automated buses and the design of future bus services.
DOI: 10.57703/ce-n79yw
title: IMPT_Surface-topography challange_C53

description: Methods: 	a) Confocal Laser Scanning Microscopy
		b) Nanoindenter AFM Mode
		c) Stylus Profilometer
		d) White Light Interferometry
                e) Jupiter AFM, Oxford 


CLSM: 
A VK9700 from Keyence was used for the analysis. A 50x objective with a numerical aperture of 0.95 was used for the measurements. A z-step size of 0.01 µm was chosen. Two random locations were measured per sample. 
For the analysis, the analysis software of the company Keyence in version 3.1.1.1 was used. The surface roughness were calculated for an area of 200x200 µm and the cut-off filters λc and λs were selected based on the built-in filter function according to ISO 4288-1997. For the line roughness, lines were created with a single measurement distance of 0.25 mm and an average for 20 lines was calculated. The cut-off filters were selected and applied as before using the ISO. For both analytical methods, the mean value was calculated from the two recorded measuring points per sample.

 Nanoindenter AFM Mode: 
The measurements were carried out in the AFM mode of a Hysitron TI 900 triboindenter. A Northstar tip with a tip radius of 50 nm was used. AFM images with 0.08 Hz, 0.1 Hz and 0.2 Hz were acquired per sample with an area of 20 x 20 µm², a setpoint of 2 µN and a resolution of 256 x 256 px. Ra and Rq were determined, averaged from the recorded values and the standard deviation was calculated. For this purpose, a linear and a non-linear regression were carried out.

Stylus Profilometer:
A Dektak³ST Stylus Profilometer from Veecko was used for the analysis. A contact force of 9 mg and a measuring length of 2000 µm were selected. Three measuring points per sample were measured and averaged. Low mode was selected for the speed setting and High for the data resolution. The tip radius was 2.5 µm.

White Light Interferometry
The White Light Interferometer from the company Wyko was used for the analysis. Three measuring points were measured per sample and the roughness values were calculated at two points for each measuring point. This results in six measured values from which the mean value was calculated.
DOI: 10.5258/soton/d3418
title: Dataset for "Hollow core fiber made of ultralow expansion glass: towards the ultimate stability for room-temperature fiber optics "

description: This is dataset to support a paper accepted by Science Advances. The paper title is "Hollow core fiber made of ultralow expansion glass: towards the ultimate stability for room-temperature fiber optics "

Uploaded Archive (RAR) includes 7 data files that are Excel format (.xlsx)
DOI: 10.15468/dl.dex9ae
title: Occurrence Download

description: A dataset containing 9532 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kalotermitidae"
 ]
}

 The dataset includes 9532 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007844-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zwrdz
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notoligotoma nitens Davis, 1936"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007846-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krqcu6
title: Occurrence Download

description: A dataset containing 11115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Spilosoma lubricipeda (Linnaeus, 1758)"
 ]
}

 The dataset includes 11115 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007845-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzzztb
title: Occurrence Download

description: A dataset containing 9575904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Peru, Paraguay)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9575904 records from 1597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007835-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1376788.10fu
title: SH1376788.10FU

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/sh1376794.10fu
title: SH1376794.10FU

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.d2q3bj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"IND.29.27_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005688-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1376797.10fu
title: SH1376797.10FU

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/sh1376799.10fu
title: SH1376799.10FU

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/sh1376802.10fu
title: SH1376802.10FU

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: 10.5281/zenodo.17610154
title: Ministerie van Kolonien, 2.10.01 & 2.10.02, ground truth for HTR training (1814-1900)

description: Set of PageXML Ground Truth for HTR training purposes. 

The zip file contains 2773 images including the transcriptions found in de Page folder. The images are randomly chosen from the digitized archives of the Ministerie van Kolonien, its iventories can be found here: https://www.nationaalarchief.nl/onderzoeken/archief/2.10.01, https://www.nationaalarchief.nl/onderzoeken/archief/2.10.02
DOI: 10.5281/zenodo.18219301
title: Ministerie van Kolonien, 2.10.01 & 2.10.02, ground truth for HTR training (1814-1900)

description: Set of PageXML Ground Truth for HTR training purposes. 

The zip file contains 2773 images including the transcriptions found in de Page folder. The images are randomly chosen from the digitized archives of the Ministerie van Kolonien, its iventories can be found here: https://www.nationaalarchief.nl/onderzoeken/archief/2.10.01, https://www.nationaalarchief.nl/onderzoeken/archief/2.10.02
DOI: 10.15156/bio/sh1376805.10fu
title: SH1376805.10FU

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/sh1376806.10fu
title: SH1376806.10FU

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/sh1376808.10fu
title: SH1376808.10FU

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/sh1376819.10fu
title: SH1376819.10FU

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/sh1376820.10fu
title: SH1376820.10FU

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.