cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14724886
title: A concept mapping approach to explore the perceived facilitating factors in shifting sedentary behavior into (more) physical activity: perspectives of healthcare professionals versus sedentary and/or inactive active adults

description: Concept mapping data of 40 sedentary and/or inactive adults and 10 healthcare professionals (HCPs)

Sociodemographic information



group (Adults vs HPCs)

age

sex

BMI

partner 

children

environment

educational level

seated profession

income category

smoking status

Meeting the Pa guidelines 

Meeting the SB guidelines 

Knowledge about PAP-coaches

Profession (HCPs)

How many years active as HCP


Rating shows the rating for effectiveness, feasbility, changeability and enjoyment (only adults) for each statement and each participant. Statement number is linked to the statements found in S1 and S2 of the paper.

Sorted card showed the sorting of card into piles by each participants.

For more information please contact willems.iris@ugent.be
DOI: 10.5281/zenodo.14724887
title: A concept mapping approach to explore the perceived facilitating factors in shifting sedentary behavior into (more) physical activity: perspectives of healthcare professionals versus sedentary and/or inactive active adults

description: Concept mapping data of 40 sedentary and/or inactive adults and 10 healthcare professionals (HCPs)

Sociodemographic information



group (Adults vs HPCs)

age

sex

BMI

partner 

children

environment

educational level

seated profession

income category

smoking status

Meeting the Pa guidelines 

Meeting the SB guidelines 

Knowledge about PAP-coaches

Profession (HCPs)

How many years active as HCP


Rating shows the rating for effectiveness, feasbility, changeability and enjoyment (only adults) for each statement and each participant. Statement number is linked to the statements found in S1 and S2 of the paper.

Sorted card showed the sorting of card into piles by each participants.

For more information please contact willems.iris@ugent.be
DOI: 10.15468/dl.9wnrtd
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Rhinanthus burnatii (Chabert) Soó"
 ]
}

 The dataset includes 92 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002550-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1125948
title: Data from Archaeological Recording at Fosse Way, Hunningham, Warwickshire, 2020-2023 (HS2 Phase One)

description: This collection comprises digital data (images, reports, spreadsheets, scanned site records, GIS, database, CAD, and a video) from a programme of archaeological recording at Fosse Way, Offchurch / River Leam, Warwickshire. The fieldwork was undertaken by Headland Archaeology and Connect Archaeology between November 2019 and November 2020. The collection also contains a video webinar recording by Wessex Archaeology summarising their work for HS2 at Fosse Way.
DOI: 10.5281/zenodo.7982200
title: The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe

description: This study analyzed the variability of equivalent black carbon (eBC) mass concentrations and their sources in urban Europe to provide insights into the use of eBC as an advanced air quality (AQ) parameter for AQ standards. This study compiled eBC mass concentration datasets covering the period between 2006 to 2022 from 50 measurement stations, including 23 urban background (UB), 18 traffic (TR), 7 suburban (SUB), and 2 regional background (RB) sites. The results highlighted the need for the harmonization of eBC measurements to allow for direct comparisons between eBC mass concentrations measured across urban Europe. The eBC mass concentrations exhibited a decreasing trend as follows: TR > UB > SUB > RB. Furthermore, a clear decreasing trend in eBC concentrations was observed in the UB sites moving from Southern to Northern Europe. The eBC mass concentrations exhibited significant spatiotemporal heterogeneity, including marked differences in eBC mass concentration and variable contributions of pollution sources to bulk eBC between different cities. Seasonal patterns in eBC concentrations were also evident, with higher winter concentrations observed in a large proportion of cities, especially at UB and SUB sites. The contribution of eBC from liquid fossil fuel combustion, mostly traffic (eBCT) was higher than that of residential and commercial sources (eBCRC) in all European sites studied. Nevertheless, eBCRC still had a substantial contribution to total eBC mass concentrations at a majority of the sites. eBC trend analysis revealed decreasing trends for eBCT over the last decade, while eBCRC remained relatively constant or even increased slightly in some cities.
description: Attention: Use of data may require contact with data provider. Please request acknowledgement details from data originators in compliance with data sharing and citation. Attribution to RI-URBANS is required from users to give appropriate credit. Information on this is included in the files. All scientific articles and reports using data need to acknowledge the project; "This study is using data that has received funding from the European Union's Horizon 2020 research and innovation programm under grant agreement No 101036245".

Grants: Agencia Estatal de Investigación, Spanish Ministry of Science and Innovation, CAIAC project (PID2019-108990RB-I00); Spanish Ministry of Science and Innovation, FPI grant (PRE-2020-095498); Generalitat de Catalunya (AGAUR, SGR-447)
DOI: 10.5281/zenodo.7982201
title: The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe

description: This study analyzed the variability of equivalent black carbon (eBC) mass concentrations and their sources in urban Europe to provide insights into the use of eBC as an advanced air quality (AQ) parameter for AQ standards. This study compiled eBC mass concentration datasets covering the period between 2006 to 2022 from 50 measurement stations, including 23 urban background (UB), 18 traffic (TR), 7 suburban (SUB), and 2 regional background (RB) sites. The results highlighted the need for the harmonization of eBC measurements to allow for direct comparisons between eBC mass concentrations measured across urban Europe. The eBC mass concentrations exhibited a decreasing trend as follows: TR > UB > SUB > RB. Furthermore, a clear decreasing trend in eBC concentrations was observed in the UB sites moving from Southern to Northern Europe. The eBC mass concentrations exhibited significant spatiotemporal heterogeneity, including marked differences in eBC mass concentration and variable contributions of pollution sources to bulk eBC between different cities. Seasonal patterns in eBC concentrations were also evident, with higher winter concentrations observed in a large proportion of cities, especially at UB and SUB sites. The contribution of eBC from liquid fossil fuel combustion, mostly traffic (eBCT) was higher than that of residential and commercial sources (eBCRC) in all European sites studied. Nevertheless, eBCRC still had a substantial contribution to total eBC mass concentrations at a majority of the sites. eBC trend analysis revealed decreasing trends for eBCT over the last decade, while eBCRC remained relatively constant or even increased slightly in some cities.
description: Attention: Use of data may require contact with data provider. Please request acknowledgement details from data originators in compliance with data sharing and citation. Attribution to RI-URBANS is required from users to give appropriate credit. Information on this is included in the files. All scientific articles and reports using data need to acknowledge the project; "This study is using data that has received funding from the European Union's Horizon 2020 research and innovation programm under grant agreement No 101036245".

Grants: Agencia Estatal de Investigación, Spanish Ministry of Science and Innovation, CAIAC project (PID2019-108990RB-I00); Spanish Ministry of Science and Innovation, FPI grant (PRE-2020-095498); Generalitat de Catalunya (AGAUR, SGR-447)
DOI: 10.71513/ngri.magvar/pty.2019-2021
title: CSIR-NGRI Patiyasar Remote Station Geomagnetic data 2019-2021
DOI: 10.5281/zenodo.14719928
title: Raw data - Growth curves of LAB
DOI: 10.5281/zenodo.14719929
title: Raw data - Growth curves of LAB
DOI: 10.5281/zenodo.14725055
title: freemusicarchive in WebDataset Format

description: This dataset is the freemusicarchive 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 fma_small_train_0000000.tar|head             
-r--r--r-- bigdata/bigdata  26 2025-01-13 10:31 042029.json
-r--r--r-- bigdata/bigdata 1201434 2025-01-13 10:31 042029.mp3
-r--r--r-- bigdata/bigdata      17 2025-01-13 10:31 001195.json
-r--r--r-- bigdata/bigdata  721484 2025-01-13 10:31 001195.mp3
-r--r--r-- bigdata/bigdata      20 2025-01-13 10:31 032695.json
-r--r--r-- bigdata/bigdata 1201154 2025-01-13 10:31 032695.mp3
-r--r--r-- bigdata/bigdata      25 2025-01-13 10:31 118504.json
-r--r--r-- bigdata/bigdata 1202163 2025-01-13 10:31 118504.mp3
-r--r--r-- bigdata/bigdata      17 2025-01-13 10:31 123094.json
-r--r--r-- bigdata/bigdata  961054 2025-01-13 10:31 123094.mp3


$ cat 042029.json
{"genre": "International"}
DOI: 10.5281/zenodo.14725056
title: freemusicarchive in WebDataset Format

description: This dataset is the freemusicarchive 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 fma_small_train_0000000.tar|head             
-r--r--r-- bigdata/bigdata  26 2025-01-13 10:31 042029.json
-r--r--r-- bigdata/bigdata 1201434 2025-01-13 10:31 042029.mp3
-r--r--r-- bigdata/bigdata      17 2025-01-13 10:31 001195.json
-r--r--r-- bigdata/bigdata  721484 2025-01-13 10:31 001195.mp3
-r--r--r-- bigdata/bigdata      20 2025-01-13 10:31 032695.json
-r--r--r-- bigdata/bigdata 1201154 2025-01-13 10:31 032695.mp3
-r--r--r-- bigdata/bigdata      25 2025-01-13 10:31 118504.json
-r--r--r-- bigdata/bigdata 1202163 2025-01-13 10:31 118504.mp3
-r--r--r-- bigdata/bigdata      17 2025-01-13 10:31 123094.json
-r--r--r-- bigdata/bigdata  961054 2025-01-13 10:31 123094.mp3


$ cat 042029.json
{"genre": "International"}
DOI: 10.3886/e216381
title: Assessing Ancient Inequalities: Hellenistic Delos

description: This paper presents a new dataset that measures inequality levels on the city-state of Delos at two different points in time during the period of its independence (314-167 BCE). We propose a new approach for quantifying ancient inequality and its evolution by relying on inscriptions that indicate property data and artisanal remunerations. A probabilistic approach is adopted to assess the uncertainty of the estimates and their sensitivity to assumptions. This paper finds that there was a decrease in wealth inequality of about 20% between the early and late periods of independence. We hypothesize that the main reason for the socio-economic changes is to be found in the new political status of autonomy that occurred in 314 BCE and resulted in a greater share of wealth being held by the middle class.
DOI: 10.3886/e216381v1
title: Assessing Ancient Inequalities: Hellenistic Delos

description: This paper presents a new dataset that measures inequality levels on the city-state of Delos at two different points in time during the period of its independence (314-167 BCE). We propose a new approach for quantifying ancient inequality and its evolution by relying on inscriptions that indicate property data and artisanal remunerations. A probabilistic approach is adopted to assess the uncertainty of the estimates and their sensitivity to assumptions. This paper finds that there was a decrease in wealth inequality of about 20% between the early and late periods of independence. We hypothesize that the main reason for the socio-economic changes is to be found in the new political status of autonomy that occurred in 314 BCE and resulted in a greater share of wealth being held by the middle class.
DOI: 10.5281/zenodo.14712088
title: Measurements of Temperature, Relative Humidity and Air Change Rate on Ventilated Attics, autumn 2023

description: The dataset contains measured data from a field study. The study was performed during year 2023 in the test buildings of Tampere University. The measured data contains temperature and relative humidity values and air change rates, which were derived from tracer gas measurements.
DOI: 10.5281/zenodo.14712089
title: Measurements of Temperature, Relative Humidity and Air Change Rate on Ventilated Attics, autumn 2023

description: The dataset contains measured data from a field study. The study was performed during year 2023 in the test buildings of Tampere University. The measured data contains temperature and relative humidity values and air change rates, which were derived from tracer gas measurements.
DOI: 10.71513/ngri.magvar/dnc.2022-2023
title: CSIR-NGRI Dhanachuli Remote Station Geomagnetic data 2022-2023
DOI: 10.34740/kaggle/dsv/10558683
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.c43p73
title: Occurrence Download

description: A dataset containing 104979697 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 104979697 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002546-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71513/ngri.magvar/dnc.2019-2021
title: CSIR-NGRI Dhanachuli Remote Station Geomagnetic data 2019-2021
DOI: 10.15468/dl.mmgucq
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moenkhausia hemigrammoides Géry, 1965"
 ]
}

 The dataset includes 94 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002551-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bezddt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copiapoa conglomerata (Phil.) Lembcke"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002552-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71513/ngri.magvar/ven.2016-2017
title: CSIR-NGRI Vencode Remote Station Geomagnetic data 2016-2017
DOI: 10.5281/zenodo.14725116
title: fsdkaggle2018 in WebDataset Format

description: This dataset is the fsdkaggle2018 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 fsd18_train_0000000.tar|head        
-r--r--r-- bigdata/bigdata  22 2025-01-12 13:57 5d246b14.json
-r--r--r-- bigdata/bigdata 568052 2025-01-12 13:57 5d246b14.wav
-r--r--r-- bigdata/bigdata     22 2025-01-12 13:57 99b72d43.json
-r--r--r-- bigdata/bigdata 2051576 2025-01-12 13:57 99b72d43.wav
-r--r--r-- bigdata/bigdata      17 2025-01-12 13:57 77083dd5.json
-r--r--r-- bigdata/bigdata  247004 2025-01-12 13:57 77083dd5.wav
-r--r--r-- bigdata/bigdata      27 2025-01-12 13:57 499a352d.json
-r--r--r-- bigdata/bigdata  352844 2025-01-12 13:57 499a352d.wav
-r--r--r-- bigdata/bigdata      20 2025-01-12 13:57 8c3c2bee.json
-r--r--r-- bigdata/bigdata  769148 2025-01-12 13:57 8c3c2bee.wav

$ cat 5d246b14.json
{"sound": "Harmonica"}
DOI: 10.5281/zenodo.14725117
title: fsdkaggle2018 in WebDataset Format

description: This dataset is the fsdkaggle2018 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 fsd18_train_0000000.tar|head        
-r--r--r-- bigdata/bigdata  22 2025-01-12 13:57 5d246b14.json
-r--r--r-- bigdata/bigdata 568052 2025-01-12 13:57 5d246b14.wav
-r--r--r-- bigdata/bigdata     22 2025-01-12 13:57 99b72d43.json
-r--r--r-- bigdata/bigdata 2051576 2025-01-12 13:57 99b72d43.wav
-r--r--r-- bigdata/bigdata      17 2025-01-12 13:57 77083dd5.json
-r--r--r-- bigdata/bigdata  247004 2025-01-12 13:57 77083dd5.wav
-r--r--r-- bigdata/bigdata      27 2025-01-12 13:57 499a352d.json
-r--r--r-- bigdata/bigdata  352844 2025-01-12 13:57 499a352d.wav
-r--r--r-- bigdata/bigdata      20 2025-01-12 13:57 8c3c2bee.json
-r--r--r-- bigdata/bigdata  769148 2025-01-12 13:57 8c3c2bee.wav

$ cat 5d246b14.json
{"sound": "Harmonica"}
DOI: 10.15468/dl.h79vuj
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gammiella pterogonioides (Griff.) Broth."
 ]
}

 The dataset includes 31 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002553-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10558738
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.ezf88w
title: Occurrence Download

description: A dataset containing 22061183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 22061183 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002542-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14725163
title: End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark:Leveraging Large Language Model Using Integrated Approach

description: End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark:Leveraging Large Language Model Using Integrated Approach  Authors

H.M.Shadman Tabib and Jaber Ahmed Deedar, Bangladesh University of Engineering and Technology, Bangladesh  Abstract

This work introduces systematic approach for enhancing large language models (LLMs) to address Bangla AI mathematical challenges. Through the assessment of diverse LLM configurations, fine- tuning with specific datasets, and the implementation of Retrieval-Augmented Generation (RAG), we enhanced the model’s reasoning precision in a multilingual setting. Crucial discoveries indicate that cus- tomized prompting, dataset augmentation, and iterative reasoning improve the model’s efficiency regarding Olympiad-level mathematical challenges.  Keywords

Large Language Models (LLMs), Fine-Tuning, Bangla AI, Mathematical Reasoning, Retrieval- Augmented Generation (RAG), Multilingual Setting, Customized Prompting, Dataset Augmentation, It- erative Reasoning, Olympiad-Level Challenges.
DOI: 10.5281/zenodo.14725164
title: End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark:Leveraging Large Language Model Using Integrated Approach

description: End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark:Leveraging Large Language Model Using Integrated Approach  Authors

H.M.Shadman Tabib and Jaber Ahmed Deedar, Bangladesh University of Engineering and Technology, Bangladesh  Abstract

This work introduces systematic approach for enhancing large language models (LLMs) to address Bangla AI mathematical challenges. Through the assessment of diverse LLM configurations, fine- tuning with specific datasets, and the implementation of Retrieval-Augmented Generation (RAG), we enhanced the model’s reasoning precision in a multilingual setting. Crucial discoveries indicate that cus- tomized prompting, dataset augmentation, and iterative reasoning improve the model’s efficiency regarding Olympiad-level mathematical challenges.  Keywords

Large Language Models (LLMs), Fine-Tuning, Bangla AI, Mathematical Reasoning, Retrieval- Augmented Generation (RAG), Multilingual Setting, Customized Prompting, Dataset Augmentation, It- erative Reasoning, Olympiad-Level Challenges.
DOI: 10.5518/1377
title: Community-based complex interventions to sustain independence in older people systematic review and network meta-analysis: effect estimates and findings dataset

description: This dataset contains study effect estimates, and findings from network meta-analyses, for community-based complex interventions to sustain independence in older people. These datasets were produced in the course of conducting a systematic review registered with PROSPERO: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019162195
DOI: 10.71513/ngri.magvar/ven.2013-2015
title: CSIR-NGRI Vencode Remote Station Geomagnetic data 2013-2015
DOI: 10.5281/zenodo.14719988
title: Raw metagenomic data
DOI: 10.5281/zenodo.14719989
title: Raw metagenomic data
DOI: 10.71513/ngri.magvar/ven.2010-2012
title: CSIR-NGRI Vencode Remote Station Geomagnetic data 2010-2012
DOI: 10.15468/dl.kcsqce
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copiapoa ahremephiana N.P.Taylor & G.J.Charles"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002555-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umgadx
title: Occurrence Download

description: A dataset containing 54544021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 54544021 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002537-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71513/ngri.magvar/pbr.2016-2019
title: CSIR-NGRI Port Blair Remote Station Geomagnetic data 2016-2019