cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0210736.10fu
title: SH0210736.10FU

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/sh0210737.10fu
title: SH0210737.10FU

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/sh0210738.10fu
title: SH0210738.10FU

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/sh0210739.10fu
title: SH0210739.10FU

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/sh0210740.10fu
title: SH0210740.10FU

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/sh0210741.10fu
title: SH0210741.10FU

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: 10.34740/kaggle/dsv/13280236
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17279315
title: open-MaStR - Geocoded locations

description: Geocoded locations from Marktstammdatenregister (MaStR) data.Belongs to the dataset open-MaStR - Marktstammdatenregister.

Details: In the MaStR data small power units (<30 kW) are not shipped with coordinates but zip and city. All occuring combinations are geocoded using Nominatim in this tool and exported as geopackage.
DOI: 10.5281/zenodo.17279317
title: open-MaStR - Geocoded locations

description: Geocoded locations from Marktstammdatenregister (MaStR) data.Belongs to the dataset open-MaStR - Marktstammdatenregister.

Details: In the MaStR data small power units (<30 kW) are not shipped with coordinates but zip and city. All occuring combinations are geocoded using Nominatim in this tool and exported as geopackage.
DOI: 10.15468/dl.ndru8d
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grindelia globularifolia"
 ]
}

 The dataset includes 71 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053991-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yw5qb7
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnocalycium bruchii"
 ]
}

 The dataset includes 89 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053992-250920141307145/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.30286876
title: Code_BayesianLC.zip from Bayesian parameter identification in the Landau–de Gennes theory for nematic liquid crystals

description: This manuscript establishes a pathway to reconstruct material parameters from measurements within the Landau–de Gennes model for nematic liquid crystals. We present a Bayesian approach to this inverse problem and analyse its properties using given, simulated data for benchmark problems of a planar bistable nematic device. In particular, we discuss the accuracy of the Markov chain Monte Carlo approximations, confidence intervals and the limits of identifiability.
DOI: 10.6084/m9.figshare.30286876.v1
title: Code_BayesianLC.zip from Bayesian parameter identification in the Landau–de Gennes theory for nematic liquid crystals

description: This manuscript establishes a pathway to reconstruct material parameters from measurements within the Landau–de Gennes model for nematic liquid crystals. We present a Bayesian approach to this inverse problem and analyse its properties using given, simulated data for benchmark problems of a planar bistable nematic device. In particular, we discuss the accuracy of the Markov chain Monte Carlo approximations, confidence intervals and the limits of identifiability.
DOI: 10.17035/cardiff.30285139
title: Data for 'Maternal origins and genetic diversity of Sabahan swamp buffalo using mitochondrial cytochrome b gene'

description: Cytochrome b data that was used to make the following publication: Maternal origins and genetic diversity of Sabahan swamp buffalo using mitochondrial cytochrome b gene. Have also attached file that explains the naming of the genbank codes, which are openly accessible via genbank.Accessible via link: <b>https://rdcu.be/eJGRN</b>
DOI: 10.17035/cardiff.30285139.v1
title: Data for 'Maternal origins and genetic diversity of Sabahan swamp buffalo using mitochondrial cytochrome b gene'

description: Cytochrome b data that was used to make the following publication: Maternal origins and genetic diversity of Sabahan swamp buffalo using mitochondrial cytochrome b gene. Have also attached file that explains the naming of the genbank codes, which are openly accessible via genbank.Accessible via link: <b>https://rdcu.be/eJGRN</b>
DOI: 10.6084/m9.figshare.30286750.v1
title: 9 Banks in Indonesia 2015-2024 for EAGLES+ESG

description: This is a data analysis for regression modeling using GMM of 9 banks in Indonesia 2015-2024.
DOI: 10.15468/dl.pa3mvj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis megalotis",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053995-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q6g3we
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnocalycium calochlorum"
 ]
}

 The dataset includes 60 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053998-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2mm4br
title: CCDC 2431464: Experimental Crystal Structure Determination

description: Related Article: Pei Tian|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26023/k42d-gg8b-5z01
title: DC3: NASA DC-8 Humidified UHSAS Statistics. Version 1.0

description: This data set contains NASA DC-8 Humidified Ultra High Sensitivity Aerosol Spectrometer (UHSAS) Statistics collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.15468/dl.tv8jdx
title: Occurrence Download

description: A dataset containing 24860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepomis megalotis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24860 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053997-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17279106
title: Sustainable food packaging using modified kombucha-derived bacterial cellulose nanofillers in biodegradable polymers

description: All data that are published in RSC Sustanability 2024 except TEM&SEM images due to the size. These can be obtained from the authors
DOI: 10.5281/zenodo.17279107
title: Sustainable food packaging using modified kombucha-derived bacterial cellulose nanofillers in biodegradable polymers

description: All data that are published in RSC Sustanability 2024 except TEM&SEM images due to the size. These can be obtained from the authors
DOI: 10.14473/csda/9dgio6
title: Hodnocení služeb veřejných knihoven pohledem uživatelů ve věku mladé dospělosti 2023

description: Datový soubor je výsledkem šetření zaměřeného na postoje mladé dospělé populace ve věku od 25 do 35 let ke službám veřejných knihoven. Cílem výzkumu bylo zmapovat míru povědomí o knihovních službách, jejich využívanost a hodnocení poskytovaných služeb. Šetření se zabývalo zejména hodnocením kvality knihovních služeb, postoje mladé generace ke službám byly sledovány v šesti dimenzích (poskytování služeb, komunikace knihovny a sdílení informací, zaměstnanci, prostory a vybavení, celková spokojenost a směřování služeb). Na základě četnosti návštěv byla tato část dotazníku rozdělena do dvou větví, a to pro uživatele knihovních služeb (nQ19_r1 až nQ24_r8) a pro neuživatele služeb (nQ26_r1 až tQ31_0_0).
DOI: 10.5281/zenodo.17279483
title: Genomic surveillance of Salmonella enterica serotype Minnesota strains from poultry products imported into South Africa - Revision 1

description: Raw data, supplemental datasets and intermediate files generated for the manuscript 'Genomic surveillance of Salmonella enterica serotype Minnesota strains from poultry products imported into South Africa' - REVISION 1 . Code for the analysis can be found in https://github.com/VishnuRaghuram94/SEPI . Link to preprint - https://www.medrxiv.org/content/10.1101/2025.04.16.25325939v2
DOI: 10.5281/zenodo.17226011
title: ENMI Europe Dataset

description: Data Description (v1)

This datasets consist of ENMI (Environmental Nitrogen Management Index (ENMI)) estimaets for Europen countries, EU‑27 member states and NUTS‑1 regions. It pairs with R scripts so external users can reproduce the country/EU‑27/regional ENMI metrics, tables, and figures referenced in the study. 





Excel sheets



enmi_country_yearly/decade.xlsx: yearly and decadal ENMI values at country-level with metadata README tabs.

enmi_eu27_yearly/decade.xlsx: yearly and decadal ENMI values at EU27-level with metadata README tabs.

enmi_nuts1_yearly/decade.xlsx: yearly and decadal ENMI values at NUTS1-levelwith metadata README tabs.



Rscripts








01_compute_n_surplus_ratios.R: critical N surplus aggregation and country ratios.

02_compute_n_output_ratios.R: reference nitrogen output levels and actual/output ratios.

03_compute_enmi.R: ENMI calculation

04_export_enmi_tables.R: Excel workbooks (country, EU‑27, NUTS‑1) with README sheets.

05_plot_enmi_timeseries.R: Rscript for ENMI timeseries plot provided as an example (Figure 1b)




Unit & Resolution



ENMI is a unitless index bounded in [0, 1]; 

Time period: 1961-2019


Acknowledgments and underlying datasets

The authors gratefully acknowledge the Global Water Quality Analysis and Service Platform (GlobeWQ) project to support a partial funding of this work, which was financed by the German Ministry for Education and Research (Grant No.:02WGR1527A). We are also thankful to UFZ for providing computing power and technical support related to the High-Performance Computing (HPC) Cluster EVE, a joint effort of both the Helmholtz Centre for Environmental Research - UFZ and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. 

Contact

Further queries regarding these datasets can be directed to Masooma Batool (masooma.batool@ufz.de) and Rohini Kumar (rohini.kumar@ufz.de).
DOI: 10.5281/zenodo.17226010
title: ENMI Europe Dataset

description: Data Description (v1)

This datasets consist of ENMI (Environmental Nitrogen Management Index (ENMI)) estimaets for Europen countries, EU‑27 member states and NUTS‑1 regions. It pairs with R scripts so external users can reproduce the country/EU‑27/regional ENMI metrics, tables, and figures referenced in the study. 





Excel sheets



enmi_country_yearly/decade.xlsx: yearly and decadal ENMI values at country-level with metadata README tabs.

enmi_eu27_yearly/decade.xlsx: yearly and decadal ENMI values at EU27-level with metadata README tabs.

enmi_nuts1_yearly/decade.xlsx: yearly and decadal ENMI values at NUTS1-levelwith metadata README tabs.



Rscripts








01_compute_n_surplus_ratios.R: critical N surplus aggregation and country ratios.

02_compute_n_output_ratios.R: reference nitrogen output levels and actual/output ratios.

03_compute_enmi.R: ENMI calculation

04_export_enmi_tables.R: Excel workbooks (country, EU‑27, NUTS‑1) with README sheets.

05_plot_enmi_timeseries.R: Rscript for ENMI timeseries plot provided as an example (Figure 1b)




Unit & Resolution



ENMI is a unitless index bounded in [0, 1]; 

Time period: 1961-2019


Acknowledgments and underlying datasets

The authors gratefully acknowledge the Global Water Quality Analysis and Service Platform (GlobeWQ) project to support a partial funding of this work, which was financed by the German Ministry for Education and Research (Grant No.:02WGR1527A). We are also thankful to UFZ for providing computing power and technical support related to the High-Performance Computing (HPC) Cluster EVE, a joint effort of both the Helmholtz Centre for Environmental Research - UFZ and the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. 

Contact

Further queries regarding these datasets can be directed to Masooma Batool (masooma.batool@ufz.de) and Rohini Kumar (rohini.kumar@ufz.de).
DOI: 10.17028/rd.lboro.30286804
title: Supplementary information files for "Compulsive exercise and changes in physical activity among females: a longitudinal analysis during the first 12months of the COVID-19 pandemic"

description: Supplementary files for article "Compulsive exercise and changes in physical activity among females: a longitudinal analysis during the first 12months of the COVID-19 pandemic"<br><br>This study had two aims; first to explore changes in compulsive exercise among adult females across the first year of theCOVID-19 pandemic, and second to explore how changes to physical activity early in the pandemic impacted compulsiveexercise. Participants were 174 adult females who completed online surveys four times (T1-T4) during the first 12months of the pandemic. Participants reported changes in physical activity (T1) and completed the Compulsive ExerciseTest (CET) at each timepoint (T1-T4). Mixed ANOVAs with time (T1-T4) and group (did vs did not report changes inphysical activity) as factors revealed that compulsive exercise significantly differed across timepoints for the whole sample. Furthermore, females who reported that their physical activity levels had changed early in the pandemic reported higher levels of CET Weight Control Exercise compared to those who reported no change. No significant interactions were found. Among this sample of adult females, attitudes towards exercise changed during the first year of thepandemic, which may reflect the impact of varying lockdown restrictions. Additionally changes to physical activity early inthe pandemic were linked with exercising to control body weight. This suggests that externally-influenced changes inphysical activity may be an influential factor in the development of compulsive exercise. This may have implications for understanding and managing risk in a range of transition situations that impact upon physical activity.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.30286804.v1
title: Supplementary information files for "Compulsive exercise and changes in physical activity among females: a longitudinal analysis during the first 12months of the COVID-19 pandemic"

description: Supplementary files for article "Compulsive exercise and changes in physical activity among females: a longitudinal analysis during the first 12months of the COVID-19 pandemic"<br><br>This study had two aims; first to explore changes in compulsive exercise among adult females across the first year of theCOVID-19 pandemic, and second to explore how changes to physical activity early in the pandemic impacted compulsiveexercise. Participants were 174 adult females who completed online surveys four times (T1-T4) during the first 12months of the pandemic. Participants reported changes in physical activity (T1) and completed the Compulsive ExerciseTest (CET) at each timepoint (T1-T4). Mixed ANOVAs with time (T1-T4) and group (did vs did not report changes inphysical activity) as factors revealed that compulsive exercise significantly differed across timepoints for the whole sample. Furthermore, females who reported that their physical activity levels had changed early in the pandemic reported higher levels of CET Weight Control Exercise compared to those who reported no change. No significant interactions were found. Among this sample of adult females, attitudes towards exercise changed during the first year of thepandemic, which may reflect the impact of varying lockdown restrictions. Additionally changes to physical activity early inthe pandemic were linked with exercising to control body weight. This suggests that externally-influenced changes inphysical activity may be an influential factor in the development of compulsive exercise. This may have implications for understanding and managing risk in a range of transition situations that impact upon physical activity.<br><br>© The Author(s), CC BY 4.0
DOI: 10.5281/zenodo.17279495
title: Site A & B VSM CSM & FSM

description: This dataset consists of data collected to create the Current State Map and Future State Map through interviews, VSM workshops, and site observations of the EH&S training system at two major construction sites (names confidential), Site A and Site B.
DOI: 10.5281/zenodo.17279496
title: Site A & B VSM CSM & FSM

description: This dataset consists of data collected to create the Current State Map and Future State Map through interviews, VSM workshops, and site observations of the EH&S training system at two major construction sites (names confidential), Site A and Site B.