cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21183871.v6
title: Evaluating the Lithospheric Structure and Regional/Residual Bouguer Anomalies in Peninsular India through Potential Field Modeling and Thermal Analysis

description: The dataset provides comprehensive crustal and lithospheric mapping, with a specific focus on the peninsular region of India. This mapping is achieved through the integration of geoid, topography, and thermal analysis techniques under the framework of local isostasy and thermal steady-state conditions. The geoid dataset, which supports this mapping, is accessible for download in various orders and degrees from the ICGEM website (http://icgem.gfz-potsdam.de/calcgrid). Furthermore, the anomaly file presents the computed regional gravity effects and residual anomalies across the entire study area, derived from detailed crustal and lithospheric structures. Notably, all data utilized in the modeling process, including the geoid, and topography, are also available for download, enabling reproducibility and further analysis.
DOI: 10.5281/zenodo.14722646
title: SpeechCommands in WebDataset Format

description: This dataset is the speechcommands dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

$ tar tvf wds-audio-train_0000000.tar|head               
-r--r--r-- bigdata/bigdata  19 2025-01-10 08:58 right_7e783e3f_nohash_1.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 right_7e783e3f_nohash_1.wav
-r--r--r-- bigdata/bigdata    16 2025-01-10 08:58 up_c79159aa_nohash_3.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 up_c79159aa_nohash_3.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_2b42e7a2_nohash_3.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_2b42e7a2_nohash_3.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_c79159aa_nohash_4.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_c79159aa_nohash_4.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_708b8d51_nohash_0.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_708b8d51_nohash_0.wav

$ cat right_7e783e3f_nohash_1.json 
{"labels": "right"}
DOI: 10.5281/zenodo.14722647
title: SpeechCommands in WebDataset Format

description: This dataset is the speechcommands dataset, formatted in the WebDataset format. WebDataset files are essentially tar archives, where each example in the dataset is represented by a pair of files: a WAV audio file and a corresponding JSON metadata file. The JSON file contains the class label and other relevant information for that particular audio sample.

$ tar tvf wds-audio-train_0000000.tar|head               
-r--r--r-- bigdata/bigdata  19 2025-01-10 08:58 right_7e783e3f_nohash_1.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 right_7e783e3f_nohash_1.wav
-r--r--r-- bigdata/bigdata    16 2025-01-10 08:58 up_c79159aa_nohash_3.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 up_c79159aa_nohash_3.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_2b42e7a2_nohash_3.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_2b42e7a2_nohash_3.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_c79159aa_nohash_4.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_c79159aa_nohash_4.wav
-r--r--r-- bigdata/bigdata    18 2025-01-10 08:58 left_708b8d51_nohash_0.json
-r--r--r-- bigdata/bigdata 32044 2025-01-10 08:58 left_708b8d51_nohash_0.wav

$ cat right_7e783e3f_nohash_1.json 
{"labels": "right"}
DOI: 10.5281/zenodo.14220568
title: Evaluating DNA quality in Coleoptera and Lepidoptera: impact of fixation and preservation in various trapping methods

description: Despite advancements in barcoding and metabarcoding, preserving high-quality DNA from field-collected arthropods remains challenging. While various fixatives and preservatives are used for DNA recovery in Coleoptera and Lepidoptera, their effects on DNA quality across different trapping methods are not fully understood. This study evaluates fixation and preservation strategies affecting DNA integrity, focusing on pH changes before and after tissue grinding to improve consistency.

For Coleoptera (Carabidae), Calathus fuscipes (L.) specimens were collected using Malaise trap, while Platynus assimilis (Paykull) were collected using emergence trap and pitfall traps (with and without roof), with propylene glycol as the primary fixative. Preservation methods included propylene glycol, 96% ethanol, or drying, with samples stored at –20 °C for one year. Propylene glycol-stored samples were washed with distilled water prior to grinding. Individual trapping used additional fixatives, including ethylene glycol, ethanol, brine, ethyl acetate, vinegar, and drying (with and without silica gel), stored at –20 °C for three months.

For Lepidoptera, samples were categorized by size: large–Agrostis exclamationis (L.), medium–Meganola strigula (Denis et Schiffermüller), Eupithecia insigniata (Hübner), and small–Pelochrista caecimaculana (Hübner). Specimens were treated with chloroform (vapor and soaked) or cyanide vapors and stored at room temperature for three months.

DNA quality was assessed through gDNA fragmentation and PCR amplification of COI fragments (658, 313, 157 bp for Coleoptera and 658, 311, 220 bp for Lepidoptera) with Sanger sequencing.

Results showed reduced DNA integrity in diluted Malaise trap samples, while distilled water washing enhanced DNA readability for emergence trap with propylene glycol. Brine proved to be a cost-effective preservative for individual trapping. For Lepidoptera, DNA preservation depended on sample size and fixative, with small chloroform-soaked specimens yielding non-sequencable DNA, while vapor-treated samples remained sequencable. This study provides insights for optimizing DNA yield and establishing effective preservation protocols for arthropod genetic research.
DOI: 10.5281/zenodo.14220569
title: Evaluating DNA quality in Coleoptera and Lepidoptera: impact of fixation and preservation in various trapping methods

description: Despite advancements in barcoding and metabarcoding, preserving high-quality DNA from field-collected arthropods remains challenging. While various fixatives and preservatives are used for DNA recovery in Coleoptera and Lepidoptera, their effects on DNA quality across different trapping methods are not fully understood. This study evaluates fixation and preservation strategies affecting DNA integrity, focusing on pH changes before and after tissue grinding to improve consistency.

For Coleoptera (Carabidae), Calathus fuscipes (L.) specimens were collected using Malaise trap, while Platynus assimilis (Paykull) were collected using emergence trap and pitfall traps (with and without roof), with propylene glycol as the primary fixative. Preservation methods included propylene glycol, 96% ethanol, or drying, with samples stored at –20 °C for one year. Propylene glycol-stored samples were washed with distilled water prior to grinding. Individual trapping used additional fixatives, including ethylene glycol, ethanol, brine, ethyl acetate, vinegar, and drying (with and without silica gel), stored at –20 °C for three months.

For Lepidoptera, samples were categorized by size: large–Agrostis exclamationis (L.), medium–Meganola strigula (Denis et Schiffermüller), Eupithecia insigniata (Hübner), and small–Pelochrista caecimaculana (Hübner). Specimens were treated with chloroform (vapor and soaked) or cyanide vapors and stored at room temperature for three months.

DNA quality was assessed through gDNA fragmentation and PCR amplification of COI fragments (658, 313, 157 bp for Coleoptera and 658, 311, 220 bp for Lepidoptera) with Sanger sequencing.

Results showed reduced DNA integrity in diluted Malaise trap samples, while distilled water washing enhanced DNA readability for emergence trap with propylene glycol. Brine proved to be a cost-effective preservative for individual trapping. For Lepidoptera, DNA preservation depended on sample size and fixative, with small chloroform-soaked specimens yielding non-sequencable DNA, while vapor-treated samples remained sequencable. This study provides insights for optimizing DNA yield and establishing effective preservation protocols for arthropod genetic research.
DOI: 10.5281/zenodo.14723906
title: Evaluating DNA quality in Coleoptera and Lepidoptera: impact of fixation and preservation in various trapping methods

description: Despite advancements in barcoding and metabarcoding, preserving high-quality DNA from field-collected arthropods remains challenging. While various fixatives and preservatives are used for DNA recovery in Coleoptera and Lepidoptera, their effects on DNA quality across different trapping methods are not fully understood. This study evaluates fixation and preservation strategies affecting DNA integrity, focusing on pH changes before and after tissue grinding to improve consistency.

For Coleoptera (Carabidae), Calathus fuscipes (L.) specimens were collected using Malaise trap, while Platynus assimilis (Paykull) were collected using emergence trap and pitfall traps (with and without roof), with propylene glycol as the primary fixative. Preservation methods included propylene glycol, 96% ethanol, or drying, with samples stored at –20 °C for one year. Propylene glycol-stored samples were washed with distilled water prior to grinding. Individual trapping used additional fixatives, including ethylene glycol, ethanol, brine, ethyl acetate, vinegar, and drying (with and without silica gel), stored at –20 °C for three months.

For Lepidoptera, samples were categorized by size: large–Agrostis exclamationis (L.), medium–Meganola strigula (Denis et Schiffermüller), Eupithecia insigniata (Hübner), and small–Pelochrista caecimaculana (Hübner). Specimens were treated with chloroform (vapor and soaked) or cyanide vapors and stored at room temperature for three months.

DNA quality was assessed through gDNA fragmentation and PCR amplification of COI fragments (658, 313, 157 bp for Coleoptera and 658, 311, 220 bp for Lepidoptera) with Sanger sequencing.

Results showed reduced DNA integrity in diluted Malaise trap samples, while distilled water washing enhanced DNA readability for emergence trap with propylene glycol. Brine proved to be a cost-effective preservative for individual trapping. For Lepidoptera, DNA preservation depended on sample size and fixative, with small chloroform-soaked specimens yielding non-sequencable DNA, while vapor-treated samples remained sequencable. This study provides insights for optimizing DNA yield and establishing effective preservation protocols for arthropod genetic research.
DOI: 10.15468/dl.vszhfp
title: Occurrence Download

description: A dataset containing 219492993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2020"
 ]
}

 The dataset includes 219492993 records from 7272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002339-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh36ed
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potamorhina squamoralevis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 95 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015421-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kufgac
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Castor canadensis, Mustela vison, Triadica sebifera)",
 "HasCoordinate is true",
 "Country is Belgium",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 117 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015422-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7g9r4
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linum grandiflorum",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015424-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx6fjd
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, Ohio State University Tetrapod Division - Bird Collection (OSUM), Academy of Natural Sciences of Philadelphia Ornithology Collection, NABU|naturgucker, Museum of Comparative Zoology, Harvard University, Birda - Global Observation Dataset, Macaulay Library Audio and Video Collection)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pharomachrus mocinno"
 ]
}

 The dataset includes 380 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015423-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gu5s7
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linum grandiflorum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 122 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015425-250914085247600/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.30158101
title: effect of cognitive flexibility on grit among university students and the sequential mediating roles of self-efficacy and resilience in this relationship.

description: This study aims to examine the effect of cognitive flexibility on grit among university students and the sequential mediating roles of self-efficacy and resilience in this relationship. The sample consisted of 605 undergraduate students aged 17–27 from various universities in Turkiye.
DOI: 10.6084/m9.figshare.30158101.v1
title: effect of cognitive flexibility on grit among university students and the sequential mediating roles of self-efficacy and resilience in this relationship.

description: This study aims to examine the effect of cognitive flexibility on grit among university students and the sequential mediating roles of self-efficacy and resilience in this relationship. The sample consisted of 605 undergraduate students aged 17–27 from various universities in Turkiye.
DOI: 10.15468/dl.a3c5xt
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015426-250914085247600/datasets/export for details.
DOI: 10.15468/dl.pu7gmg
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythranthe caespitosa"
 ]
}

 The dataset includes 690 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015427-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17136569
title: RuralBioUp qualitative data sets

description: Semi-structured interview guideline

7 anonomized Interview datasets with nine bioeconomy hubs of the RuralBioUp project

transcript videos of RuralBioUp hubs

graph on materials used for qualitative analysis

graph on recommendations
DOI: 10.17632/3j443ntrkr
title: Meteorological data

description: This dataset provides comprehensive meteorological time-series data for two major Indian cities, Jaipur and Kanpur, structured to facilitate robust climate analysis, environmental modeling, and machine learning research. The collection comprises four CSV files: two for each city, differentiated by the presence or absence of missing values. For Jaipur, both "with missing value" and "without missing value" datasets contain 575 records across six primary atmospheric variables: Dew point, Cloud cover, Precipitation, Temperature, Wind direction, and Wind speed. The Kanpur datasets follow a similar design but include an additional 'date\_time' column, representing concatenated timestamps, and extend to 575 records with seven columns in total. The inclusion of both raw (with missing values) and preprocessed (imputed, without missing values) variants enables users to benchmark data cleaning, imputation, and gap-filling algorithms, offering valuable real-world scenarios where sensor data is incomplete. All variables are provided in a consistent numerical format, with the imputed files utilizing float datatypes for improved compatibility with statistical and computational methods. The temporal granularity and spatial specificity of the data make it well-suited for urban climate studies, high-resolution forecasting, and analysis of atmospheric dynamics in Northern India. While the units for each variable (e.g., temperature, wind speed) follow standard meteorological conventions, users are advised to consult supplementary documentation or the data authors for precise measurement details, as direct unit annotation is not present within the files. The 'date\_time' field in the Kanpur datasets warrants special attention due to its composite format, and may require parsing for fine-grained temporal analysis. The data capture typical meteorological variation as observed by regional weather stations, including natural fluctuations, diurnal cycles, and seasonal transitions, while also realistically reflecting common challenges in environmental monitoring, such as sporadic missing values arising from sensor outages or data transmission errors. By providing both incomplete and fully-imputed datasets, this resource supports the development and evaluation of robust analytical pipelines in climate informatics and related disciplines. Researchers can leverage these datasets for tasks ranging from baseline climate characterization and anomaly detection to the training and validation of data-driven predictive models. Ultimately, the structured format, practical relevance, and dual-variant design position this dataset as a valuable open-access asset for atmospheric scientists, data engineers, and interdisciplinary researchers interested in advancing methods for meteorological data analysis, urban climatology, and environmental data science.
DOI: 10.17632/3j443ntrkr.1
title: Meteorological data

description: This dataset provides comprehensive meteorological time-series data for two major Indian cities, Jaipur and Kanpur, structured to facilitate robust climate analysis, environmental modeling, and machine learning research. The collection comprises four CSV files: two for each city, differentiated by the presence or absence of missing values. For Jaipur, both "with missing value" and "without missing value" datasets contain 575 records across six primary atmospheric variables: Dew point, Cloud cover, Precipitation, Temperature, Wind direction, and Wind speed. The Kanpur datasets follow a similar design but include an additional 'date\_time' column, representing concatenated timestamps, and extend to 575 records with seven columns in total. The inclusion of both raw (with missing values) and preprocessed (imputed, without missing values) variants enables users to benchmark data cleaning, imputation, and gap-filling algorithms, offering valuable real-world scenarios where sensor data is incomplete. All variables are provided in a consistent numerical format, with the imputed files utilizing float datatypes for improved compatibility with statistical and computational methods. The temporal granularity and spatial specificity of the data make it well-suited for urban climate studies, high-resolution forecasting, and analysis of atmospheric dynamics in Northern India. While the units for each variable (e.g., temperature, wind speed) follow standard meteorological conventions, users are advised to consult supplementary documentation or the data authors for precise measurement details, as direct unit annotation is not present within the files. The 'date\_time' field in the Kanpur datasets warrants special attention due to its composite format, and may require parsing for fine-grained temporal analysis. The data capture typical meteorological variation as observed by regional weather stations, including natural fluctuations, diurnal cycles, and seasonal transitions, while also realistically reflecting common challenges in environmental monitoring, such as sporadic missing values arising from sensor outages or data transmission errors. By providing both incomplete and fully-imputed datasets, this resource supports the development and evaluation of robust analytical pipelines in climate informatics and related disciplines. Researchers can leverage these datasets for tasks ranging from baseline climate characterization and anomaly detection to the training and validation of data-driven predictive models. Ultimately, the structured format, practical relevance, and dual-variant design position this dataset as a valuable open-access asset for atmospheric scientists, data engineers, and interdisciplinary researchers interested in advancing methods for meteorological data analysis, urban climatology, and environmental data science.
DOI: 10.48329/4762-1x07
title: CPRD Aurum Ethnicity Record September 2025

description: "The CPRD Ethnicity Record is comprised of a single derived ethnicity category for each patient in CPRD Aurum. The CPRD Ethnicity Record draws ethnicity data from the primary care database and, for linkage eligible patients, Hospital Episode Statistics (HES) datasets.

For linkage eligible patients, the following linked data releases were used:
• CPRD Aurum Source file November 2024
• CPRD Aurum HES APC November 2024
• CPRD Aurum HES OP November 2024
• CPRD Aurum HES A&E August 2021
• CPRD Aurum HES DID August 2021"
description: Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval via CPRD's Research Data Governance Process. Further information is available at https://www.cprd.com/data-access.
description: Please contact enquiries@cprd.com for further information or if you have any questions.
DOI: 10.17632/gzbtsxp2f6
title: Heavy Mo isotope observed in continental subduction-related mafic magmatism: implications for crust-mantle interaction and geodynamic process in continental subduction zone

description: Supplementary data