cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15263435
title: hydromt-wflow-data

description: HydroMT-wflowbuild/ test data

For individual dataset licenses, check either the yaml or the original dataset provider.

v0.1.1: Added more to the unit build-data, added old Artifact data w/ demand and merit_utm; Added wflow example models.

v0.1.0: A simple region for testing
DOI: 10.15468/dl.vy66mb
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Drosera uniflora Willd."
 ]
}

 The dataset includes 171 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009976-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15221865
title: Recycled concrete paving block waste as a selected sustainable substitute for natural aggregate in cement composites

description: This study examines the impact of replacing natural aggregates with second-quality sorted concrete paving block (CPB) aggregates in mortars and concretes. Substitution levels varied from 0 % to 100 % for fine aggregates in mortars and 50 % for fine and/or coarse aggregates in concretes. The research analysed the properties of the waste material, including particle size distribution, porosity, water absorption, and density. For mortars and concretes, the evaluated parameters encompassed workability, consistency, density, compressive strength, electrical resistivity, and microstructure. The findings indicate that mortars incorporating CPB aggregates necessitate higher dosages of superplasticizers to achieve desired workability. This requirement is attributed to the increased cement content per unit volume and the finer particle size of the recycled aggregates. Early compressive strength of mortars peaks at a 50 % recycled aggregate content due to a reduced effective water-to-cement ratio, while 100 % substitution of fine aggregate leads to a significant decrease in compressive strength. Concretes with recycled aggregates exhibit comparable or superior early compressive strength relative to reference concrete, but after 28 days, all concretes with recycled aggregates display lower strength. The 28-day compressive strengths are 65.9 MPa, 64.8 MPa, and 62.3 MPa for 50 % replacement by fine, coarse, and a combination of both aggregates, respectively. These results surpass those achieved in similar studies. Durability assessments suggest that concrete mixtures with CPB exhibit trends comparable to reference concrete, indicating moderate resistance to chloride penetration. Overall, the findings suggest that utilizing sorted CPB aggregates is a viable approach to replacing natural aggregates in mortars and concretes.
DOI: 10.5281/zenodo.15221866
title: Recycled concrete paving block waste as a selected sustainable substitute for natural aggregate in cement composites

description: This study examines the impact of replacing natural aggregates with second-quality sorted concrete paving block (CPB) aggregates in mortars and concretes. Substitution levels varied from 0 % to 100 % for fine aggregates in mortars and 50 % for fine and/or coarse aggregates in concretes. The research analysed the properties of the waste material, including particle size distribution, porosity, water absorption, and density. For mortars and concretes, the evaluated parameters encompassed workability, consistency, density, compressive strength, electrical resistivity, and microstructure. The findings indicate that mortars incorporating CPB aggregates necessitate higher dosages of superplasticizers to achieve desired workability. This requirement is attributed to the increased cement content per unit volume and the finer particle size of the recycled aggregates. Early compressive strength of mortars peaks at a 50 % recycled aggregate content due to a reduced effective water-to-cement ratio, while 100 % substitution of fine aggregate leads to a significant decrease in compressive strength. Concretes with recycled aggregates exhibit comparable or superior early compressive strength relative to reference concrete, but after 28 days, all concretes with recycled aggregates display lower strength. The 28-day compressive strengths are 65.9 MPa, 64.8 MPa, and 62.3 MPa for 50 % replacement by fine, coarse, and a combination of both aggregates, respectively. These results surpass those achieved in similar studies. Durability assessments suggest that concrete mixtures with CPB exhibit trends comparable to reference concrete, indicating moderate resistance to chloride penetration. Overall, the findings suggest that utilizing sorted CPB aggregates is a viable approach to replacing natural aggregates in mortars and concretes.
DOI: 10.15468/dl.5aum9x
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Netherlands, Belgium)",
 "TaxonKey is Pterostichus nigrita (Paykull, 1790)"
 ]
}

 The dataset includes 1033 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009977-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15256525
title: Data Required to run Example Code in GPyEDS Documentation

description: These files are provided to allow the reader to follow the examples documentation for the GPyEDS software provided at https://github.com/norberttoth398/GPyEDS. Please note that the example code will have to be edited to be consistent with the directory structure that you use. The file KRA13B_10mu_allphases.csv is the example csv for the initial QEMSCAN readin in the first example.
DOI: 10.5281/zenodo.15256526
title: Data Required to run Example Code in GPyEDS Documentation

description: These files are provided to allow the reader to follow the examples documentation for the GPyEDS software provided at https://github.com/norberttoth398/GPyEDS. Please note that the example code will have to be edited to be consistent with the directory structure that you use. The file KRA13B_10mu_allphases.csv is the example csv for the initial QEMSCAN readin in the first example.
DOI: 10.15468/dl.actj7s
title: Occurrence Download

description: A dataset containing 491408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viburnum opulus L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 491408 records from 1696 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009968-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48623/aperta.274352
title: The Effect Of Thoracolumbosacral Orthosis On Scoliosis Progression And Chest Deformity In Children With Type 1 Spinal Muscular Atrophy: A Randomized Controlled Trial

description: <strong>Background: </strong>Type 1 spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease characterized by severe muscle weakness, which results in progressive spinal and chest deformities. This study aims to evaluate the effect of thoracolumbosacral orthosis (TLSO) use along with pulmonary care (PC), individualized pulmonary rehabilitation (IPR), and individualized trunk exercises (ITE) in children with Type 1 SMA.

<strong>Methods: </strong>The study enrolled 24 children with Type 1 SMA aged 2–6 years, with a scoliosis angle of 20°–40°. Participants were randomly assigned into two groups using a stratified randomization method: Group 1 (PC, IPR, ITE) and Group 2 (PC, IPR, ITE & TLSO). All participants underwent an 8-week treatment program. Pre- and post-treatment assessments included scoliosis progression measured by the Cobb angle, chest deformity evaluated through the basal upper-lower chest wall ratio and the Supine Angle of Trunk Rotation Test (SATR), and motor function levels assessed using the Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP INTEND).

<strong>Results: </strong>Significant improvements were observed in Cobb angle, bell-shaped chest deformity, and motor function in both groups (p&lt;0.05). Group 2 demonstrated greater improvements in effect size (ES) across all evaluation parameters. Compared to Group 1, Group 2 showed superior improvement in Cobb angle (ES=3.98), basal upper-lower chest wall ratio (ES=5.00), SATRL (lower) (ES=2.55), SATRU (upper) (ES=1.64), and CHOP INTEND (ES=1.23) (p&lt;0.05).

<strong>Conclusions:</strong> This study is the first to demonstrate that the combination of PC, IPR, ITE, and TLSO yields superior clinical outcomes in children with Type 1 SMA. The findings support current recommendations for TLSO use in patients with a Cobb angle &gt;20°, and emphasize the potential benefits of early, proactive orthotic intervention when integrated with mobilization, trunk, and pulmonary exercise programs in managing scoliosis in this population. However, limitations such as the small sample size and short follow-up period underscore the need for larger and longer-term studies to confirm these findings.
DOI: 10.15468/dl.v363wn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACH3026"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028990-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/do1sts
title: Estudio de Impacto Ambiental (EIA) Para La Modificación de la Licencia Ambiental para la Construcción de la Estación de Compresión de Gas Palestina

description: En junio y octubre del 2024 se realizó el Estudio de Impacto Ambiental (EIA) Para La Modificación de la Licencia Ambiental para la Construcción de la Estación de Compresión de Gas Palestina en el municipio de Palestina, departamento de Caldas. Muestreando los grupos biológicos de fitoplancton, zooplancton, perifiton, macroinvertebrados bentónicos y otros.
DOI: 10.15468/dl.d3532h
title: Occurrence Download

description: A dataset containing 79798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "HasCoordinate is true",
 "Elevation is greater than or equal to -1000m",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 79798 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028986-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eeckxe
title: Occurrence Download

description: A dataset containing 114093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Contopus cinereus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 114093 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028977-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.me9vxa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACH6515"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028991-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5j3uk9
title: Occurrence Download

description: A dataset containing 1879610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ephedra fedtschenkoae, Ephedra foeminea, Ephedra gerardiana, Ephedra glauca, Ephedra holoptera, Ephedra intermedia, Ephedra laristanica, Ephedra likiangensis, Ephedra lomatolepis, Ephedra milleri, Ephedra minuta, Ephedra monosperma, Ephedra oxyphylla, Ephedra pachyclada, Ephedra pentandra, Ephedra procera, Ephedra przewalskii, Ephedra pseudodistachya, Ephedra regeliana, Ephedra rhytidosperma, Ephedra rituensis, Ephedra sarcocarpa, Ephedra saxatilis, Ephedra sinica, Ephedra strobilacea, Ephedra transitoria, Ephedra vvedenskyi, Ginkgo biloba, Glyptostrobus pensilis, Gnetum catasphaericum, Gnetum chinense, Gnetum cleistostachyum, Gnetum giganteum, Gnetum gnemon, Gnetum gracilipes, Gnetum hainanense, Gnetum luofuense, Gnetum montanum, Gnetum parvifolium, Gnetum pendulum, Juniperus chinensis, Juniperus communis, Juniperus convallium, Juniperus coxii, Juniperus deltoides, Juniperus drupacea, Juniperus excelsa, Juniperus foetidissima, Juniperus formosana, Juniperus indica, Juniperus komarovii, Juniperus macrocarpa, Juniperus mairei, Juniperus morrisonicola, Juniperus oxycedrus, Juniperus pingii, Juniperus polycarpos, Juniperus procera, Juniperus procumbens, Juniperus przewalskii, Juniperus pseudosabina, Juniperus recurva, Juniperus rigida, Juniperus sabina, Juniperus saltuaria, Juniperus semiglobosa, Juniperus seravschanica, Juniperus squamata, Juniperus tairukouensis, Juniperus taxifolia, Juniperus tibetica, Juniperus tsukusiensis, Juniperus turbinata, Keteleeria davidiana, Keteleeria evelyniana, Keteleeria fortunei, Keteleeria, Larix czekanowskii, Larix decidua, Larix gmelinii, Larix griffithii, Larix kaempferi, Larix mastersiana, Larix potaninii, Larix sibirica, Metasequoia glyptostroboides, Microbiota decussata, Nageia fleuryi, Nageia nagi, Nageia wallichiana, Nothotsuga longibracteata, Pectinopitys harmsiana, Picea abies, Picea alcoquiana, Picea asperata, Picea aurantiaca, Picea austropanlanica, Picea brachytyla, Picea crassifolia, Picea farreri)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 1879610 records from 2685 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028985-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc3apr
title: Occurrence Download

description: A dataset containing 140265443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 140265443 records from 10542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006974-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8d6hb4
title: Occurrence Download

description: A dataset containing 994 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borostomias antarcticus (Lönnberg, 1905)"
 ]
}

 The dataset includes 994 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004823-250525065834625/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/11981679
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.6084/m9.figshare.29163452
title: Data

description: topological Dirac vortex mode
DOI: 10.6084/m9.figshare.29163452.v1
title: Data

description: topological Dirac vortex mode
DOI: 10.5281/zenodo.15324176
title: EduCITY Dataset

description: EduCITY Dataset both qualitative and quantitative.
DOI: 10.5281/zenodo.15324177
title: EduCITY Dataset

description: EduCITY Dataset both qualitative and quantitative.
DOI: 10.15468/dl.fht3ac
title: Occurrence Download

description: A dataset containing 18495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aiphanes Willd."
 ]
}

 The dataset includes 18495 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010891-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46e8fp
title: Occurrence Download

description: A dataset containing 615952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clostridia"
 ]
}

 The dataset includes 615952 records from 852 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010885-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13883067
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13883118
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13886053
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13886273
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13887548
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13891185
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13899725
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13900960
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13910250
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13920467
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13938527
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.13984186
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.14040649
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.
DOI: 10.5281/zenodo.14040676
title: AGORA Dataset

description: AGORA (AI GOvernance and Regulatory Archive) is a living collection of AI-relevant laws, regulations, standards, and other governance documents. This dataset includes bulk metadata, summaries, and text for all AGORA documents. For further details, licensing, and full credits, visit the official documentation.

AGORA is a project of the Emerging Technology Observatory.