cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17898/adp_nzg23_v1/8
title: nzg23_p3_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/10
title: nzg23_p5_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/9
title: nzg23_p4_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/11
title: nzg23_p6_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/12
title: nzg23_p7_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/13
title: nzg23_p8_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/14
title: nzg23_p9_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_nzg23_v1/15
title: nzg23_vp1_sl_v1_r1.pdf

description: :unav
DOI: 10.13144/lil-0230
title: Démographie des entreprises et des établissements - 2003

description: Le produit Démographie des entreprises et des établissements est un regroupement de plusieurs produits selon les années. En 2003, sont présents la démographie des entreprises et des établissements pour les champ ICS (secteur marchand d'activité de l'industrie, de la construction, du commerce et des services) et marchand non agricole, ainsi que le nombre d'établissements et création par commune au 1er janvier. Les fichiers démographie des entreprises et des établissements  contiennent les données sur le parc d'entreprises et d'établissements en activité au 1er janvier 2003 et sur leur renouvellement par les créations d'entreprises et d'établissements enregistrées tout au long de l'année 2003, en France métropolitaine et dans les départements d'outre-mer. Elles sont disponibles en nomenclature d'activité NAF rév. 1 de 2003 et NAF rev. 2 de 2008.Les fichiers nombre d'établissements et création donnent la répartition par commune du nombre d'entreprises et d'établissements au 1er janvier de l'année selon l'activité principale exercée, la catégorie juridique et la taille de l'établissement, et les créations pures d'entreprises et d'établissements selon l'activité principale exercée (nomenclature économique de synthèse).Ces données sont issues du REE (Répertoire des entreprises et des établissements) - Sirene (Système Informatique pour le Répertoire des Entreprises et de leurs Établissements).
DOI: 10.5281/zenodo.15223321
title: Similarities and differences in mass spectral signatures of primary organic aerosol from anthropogenic sources
DOI: 10.15468/dl.2rg6hx
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Afghanistan, Kazakhstan, Pakistan, Uzbekistan)",
 "TaxonKey is Cannabis sativa L."
 ]
}

 The dataset includes 598 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026507-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/65rdcx3sp6.1
title: Base DEMTREND

description: The data we use come from the DEMTREND survey. The latter collects information on education, health, marriage, family formation, knowledge and use of contraception, employment, entrepreneurship, riskiness, and cognitive and non-cognitive skills. As a result, the survey has built up a unique database on young individuals and makes it possible to analyze the determinants of their decisions on the job market in Senegal.
DOI: 10.17632/tys2gscdv7.5
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.7
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. Measured classroom dimensions, building materials and air conditioning methods are included. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.8
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. Measured classroom dimensions, building materials and air conditioning methods are included. This dataset provides valuable insights into true learning conditions in South African school classrooms. 


When utilising this dataset, please cite the following article:

Rita Elise van der Walt, Sara Susanna Grobbelaar, and Marthinus Johannes Booysen. Dataset of indoor air parameter measurements relating to indoor air quality and thermal comfort in South African primary school classrooms of various building infrastructure types. Data in Brief, page 110045, 1 2024. ISSN 23523409. doi: 10.1016/j.dib.2024.110045.
DOI: 10.17632/tys2gscdv7.1
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.2
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.3
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.4
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. This dataset provides valuable insights into true learning conditions in South African school classrooms.
DOI: 10.17632/tys2gscdv7.9
title: Indoor air quality measurements in South African primary school classrooms of various building infrastructure types

description: In the resource-constrained South African education sector, infrastructure which is considered as temporary or backup in other countries is used as permanent classrooms, primarily but not exclusively in lower-income areas. Children’s cognitive performance and comfort are directly impacted by indoor air quality. Temperature, relative humidity, particulate matter and CO2 levels, substantial determinants of air quality, have not been studied across different classroom types. We measure these parameters every 11 minutes in various classrooms at schools in Stellenbosch, South Africa. These classrooms consist of a range of different infrastructure types. Container classrooms with and without insulation, mobile (prefabricated) classrooms, and brick classrooms of different configurations are included. Measurements are concurrently sampled over ten months (249 days, still ongoing), across multiple seasons with relevant metadata including ambient weather conditions, school days and times, and in the (South) African context, electrical availability, which impacts air conditioning usage. Measured classroom dimensions, orientations, estimated building materials and HVAC systems are included. This dataset provides valuable insights into true learning conditions in South African school classrooms. 


When utilising this dataset, please cite the following article:

Rita Elise van der Walt, Sara Susanna Grobbelaar, and Marthinus Johannes Booysen. Dataset of indoor air parameter measurements relating to indoor air quality and thermal comfort in South African primary school classrooms of various building infrastructure types. Data in Brief, page 110045, 1 2024. ISSN 23523409. doi: 10.1016/j.dib.2024.110045.
DOI: 10.17632/dj4sb8h3c3.1
title: N6-Methyladenosine enhances the translation of ENO1 to promote the progression of bladder cancer by inhibiting PCNA ubiquitination

description: RNA methylation is involved in the regulation of cell response and cell fate, and is closely related to the development of tumors. To identify the potential roles of the mRNA m6A modification in human bladder cancer, we analyzed the profile the landscape of the mRNA m6A modification in 3 bladder cancer tissues and the corresponding non-cancerous tissues. We compare the difference in RNA m6A methylation between bladder cancer tissues and adjacent normal control tissues using MeRIP-seq. The data was shown in “MeRIP_RNA_result”. Moreover, Label-free quantitative proteomics was used to identify differentially expressed proteins in bladder cancer tissues. The data was shown in “Proteomic_data”.
DOI: 10.15468/dl.fz6mnm
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ataenius liogaster Bates, 1887)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026510-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fry5f6y8cc.1
title: Timing of Holocene Surface-Ruptures Across Adjacent Rupture-Segments Where the Jinsha River Crosses the Yushu fault, Qinghai Province, China, Appendices

description: Appendices 8A,B,C - OSL Supplemental Document for Trenches CUG-2011-1 and CUG-2012-1
DOI: 10.15468/dl.k4cfbu
title: Occurrence Download

description: A dataset containing 731414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "Geometry MULTIPOLYGON(((151.13059 -26.23354,151.01764 -26.63515,151.2722 -27.56083,150.90121 -28.07798,151.13059 -28.70242,152.33226 -29.42342,153.67182 -29.46594,154.10065 -28.38366,153.88876 -25.5584,153.7961 -25.4907,152.28856 -25.4907,151.13059 -26.23354)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2001-2020"
 ]
}

 The dataset includes 731414 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026503-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3kmme
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ataenius picinus Harold, 1867)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 187 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026512-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/jyey-vcam
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/bqnm-crw2
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/pfdk-kwmp
title: Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/xry4-d696
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/8cs8-fr78
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/mfa8-tfaz
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.48597/n7yb-wvju
title: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement

description: Measurement of Aerosol light scattering at Observatoire Perenne de l'Environnement
DOI: 10.15468/dl.uhux6n
title: Occurrence Download

description: A dataset containing 2173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-10.64913 34.3084,-15.84399 24.34564,-20.17027 15.38842,-9.54948 3.70839,3.76084 5.48071,12.73445 -7.02496,9.48741 -22.82915,14.92366 -27.32671,15.68326 -35.62727,26.52601 -36.87634,38.53048 -23.54108,46.30505 -26.90807,53.57504 -17.58856,49.58193 -11.49975,43.14022 -10.40865,44.22475 -1.7803,53.53972 10.50201,50.92395 13.67163,43.67487 11.11003,36.71626 21.46022,32.5077 32.11799,32.00411 33.3225,26.7249 32.2417,18.84508 33.74677,15.21115 32.90615,11.60175 34.25812,11.82921 35.56111,10.45347 37.29731,9.29798 37.34526,4.10132 37.73252,-10.64913 34.3084))",
 "TaxonKey is Torgos tracheliotos (J.R.Forster, 1796)",
 "CoordinateUncertaintyInMeters is less than or equal to 40000"
 ]
}

 The dataset includes 2173 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026515-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbdzfv
title: Occurrence Download

description: A dataset containing 1203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ataenius gracilis (Melsheimer, 1845))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1203 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026514-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3r8ts
title: Occurrence Download

description: A dataset containing 2173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-10.64913 34.3084,-15.84399 24.34564,-20.17027 15.38842,-9.54948 3.70839,3.76084 5.48071,12.73445 -7.02496,9.48741 -22.82915,14.92366 -27.32671,15.68326 -35.62727,26.52601 -36.87634,38.53048 -23.54108,46.30505 -26.90807,53.57504 -17.58856,49.58193 -11.49975,43.14022 -10.40865,44.22475 -1.7803,53.53972 10.50201,50.92395 13.67163,43.67487 11.11003,36.71626 21.46022,32.5077 32.11799,32.00411 33.3225,26.7249 32.2417,18.84508 33.74677,15.21115 32.90615,11.60175 34.25812,11.82921 35.56111,10.45347 37.29731,9.29798 37.34526,4.10132 37.73252,-10.64913 34.3084))",
 "TaxonKey is Torgos tracheliotos (J.R.Forster, 1796)",
 "CoordinateUncertaintyInMeters is less than or equal to 40000"
 ]
}

 The dataset includes 2173 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026516-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9t26ppkcvp.1
title: Pyoderma Local Management Supplement

description: PRISMA Diagram & Demographics Table
DOI: 10.5281/zenodo.11235114
title: Measurement Report: Long-term Assessment of Primary and Secondary Organic Aerosols in Shanghai Megacity throughout China's Clean Air Actions since 2010 [dataset]
DOI: 10.5281/zenodo.11235113
title: Measurement Report: Long-term Assessment of Primary and Secondary Organic Aerosols in Shanghai Megacity throughout China's Clean Air Actions since 2010 [dataset]