cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e113818v1-169381
title: Replication data for: Cash Transfers, Behavioral Changes, and Cognitive Development in Early Childhood: Evidence from a Randomized Experiment

description: Cash transfer programs have become extremely popular in the developing world. A large literature analyzes their effects on schooling, health and nutrition, but relatively little is known about possible impacts on child development. This paper analyzes the impact of a cash transfer program on early childhood cognitive development.
Children in households randomly assigned to receive benefits had significantly higher levels of development nine months after the program began. There is no fade-out of program effects two years after the program ended. Additional random variation shows that these impacts are unlikely to result from the cash component of the program alone. (JEL H23, I15, J13, O15)
DOI: 10.15468/dl.g32ssc
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prionace glauca (Linnaeus, 1758)"
 ]
}

 The dataset's 10 records were derived from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000661-250227182400228/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.28512800
title: Global Yearly Forest Aboveground Biomass (AGB) in 2000-2020

description: This dataset describes Global Aboveground Biomass(AGB) by GEDI and MODIS GLASS Dataset in 2001-2020.The Spatial resolution of thisdataset is 0.00833333 degree in GCS_WGS_1984.The AGB data based on GEDI SAWA indices in 2020 was used as a benchmark data,indices dervied from MODIS Global lAnd Surface Satellite (GLASS) datasets in 2020 were used to retrieval the AGB.Different retrieval models were developed by Random Forest considering different forest types from MODIS MCD12Q1 Dataset within different continents. The final map in 2000-2020 were extracted by the information from MODIS GLASS datasaet with the models. The overall accuracy of the datasets are close to 75%.
DOI: 10.15493/dffe.ccis.16022025
title: Frost Days index: Ensemble 10th,50th and 90th percentiles of Winter season (JJA) frost days index (FD) for 1.5 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for average global temperatures to reach 1.5°C warming levels. The level of model uncertainty was represented by ensemble percentiles (10th, 50th, and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the future periods is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.15022025
title: Frost Days index: Ensemble 10th,50th and 90th percentiles of Winter season (JJA) frost days index (FD) for baseline period of 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for the baseline period (1961-1990). The level of model uncertainty was represented by ensemble percentiles (10th, 50th and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the baseline period is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.18022025
title: Frost Days index: Ensemble 10,50 and 90th percentiles of Winter season (JJA) frost days index (FD) for 3.0 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for average global temperatures to reach 3.0°C warming levels. The level of model uncertainty was represented by ensemble percentiles (10th, 50th, and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the future periods is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.17022025
title: Frost Days index index: Ensemble 10th,50th and 90th percentiles of Winter season (JJA) frost days index (FD) for 2.0 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for average global temperatures to reach 2.0°C warming levels. The level of model uncertainty was represented by ensemble percentiles (10th, 50th, and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the future periods is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.12022025
title: Frost Days index: Ensemble 10th,50th and 90th percentiles of Annual frost days index (FD) for 1.5 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: The climate extremes projections over the Free State Province were conducted using the Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets as part of the Assessment Report (AR) 6 of the Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for average global temperatures to reach 1.5°C warming levels. The level of model uncertainty was represented by ensemble percentiles (10th, 50th, and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the future periods is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.15493/dffe.ccis.13022025
title: Frost Days index index: Ensemble 10th,50th and 90th percentiles of Annual frost days index (FD) for 2.0 degree global temperature scenario relative to the period 1961-1991

description: National Climate Change Information System
description: Intergovernmental Panel on Climate Change (IPCC). The focus was on climate extreme events including heat, drought, heatwaves, and flooding. Calculations of climate extreme indices that speak to the identified extreme events were conducted using 10 CMIP6 climate models from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) community. The ISIMIP models were statistically downscaled using the CMIP6 climate model scenario 4, Shared Socioeconomic Pathways 3-70 (SSP3-7.0), also known as the regional rivalry scenario, in the context of the Paris Agreement temperature goals. Under this scenario, a resurgence of nationalism and regional conflicts overshadow global issues. Governments increasingly prioritize national and regional security, leading to reduced investments in education and technological development. Inequality grows, and some regions experience severe environmental damage. These extreme indices were selected from the 27 core indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) widely used for analysing extreme events in a changing climate. The calculations were conducted for average global temperatures to reach 2.0°C warming levels. The level of model uncertainty was represented by ensemble percentiles (10th, 50th, and 90th percentiles) from the 10 models in which agreement between the models on the projected spatial pattern of the frost days index (FD) for the future periods is illustrated.
description: All datasets were downloaded from ISIMIP as netcdf and processed using Python to extreme climate indices of interest.
DOI: 10.34740/kaggle/dsv/10880456
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5517/ccdc.csd.cc2l4pdv
title: CCDC 2387787: Experimental Crystal Structure Determination

description: Related Article: Tiantian Yin, Shiyuan Sui, Shuqi Li, Junbiao Chang, Dachang Bai|2024|Chem.Commun.|60|14204|doi:10.1039/D4CC04293J
description: Related Article: Tiantian Yin, Shiyuan Sui, Shuqi Li, Junbiao Chang, Dachang Bai|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.csk2j4
title: Occurrence Download

description: A dataset containing 921635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis capillaris L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 921635 records from 2188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000652-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk7p32
title: Occurrence Download

description: A dataset containing 6466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Najas minor All.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6466 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009499-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15185
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 8, no. 11 (November 1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.ydhnvg
title: Occurrence Download

description: A dataset containing 51266 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melosira C.A.Agardh, 1824"
 ]
}

 The dataset includes 51266 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005128-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynadzj
title: Occurrence Download

description: A dataset containing 1107785 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Edinburgh (E) Herbarium Specimens"
 ]
}

 The dataset includes 1107785 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012339-230918134249559/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/8276356
title: Billboard charts
DOI: 10.15468/dl.j2mt5n
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Romerolagus diazi (Ferrari-Pérez, 1893)"
 ]
}

 The dataset includes 467 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019138-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nemvq8
title: Occurrence Download

description: A dataset containing 2494 species occurrences available in GBIF matching the query:
{
 "RecordedBy" : [
 "is Anthony Batista"
 ]
}

 The dataset includes 2494 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001392-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15539
title: Gost' = The guest, vol. 7, no. 1 ([January] 1917)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.zyhq6s
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Syrmaticus ellioti (Swinhoe, 1872)"
 ]
}

 The dataset includes 777 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005129-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6j7ed
title: Occurrence Download

description: A dataset listing the 67608 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -35,180 -35,180 -30,-180 -30,-180 -35))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Country derived from coordinates, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "Year 1962-1981"
 ]
}

 The dataset's 67608 records were derived from 731 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009501-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k2kvf949ht.1
title: Microplastics in the water column of the Rhine River near Basel: 22 months of sampling

description: Data generated for the publication titled "Microplastics in the water column of the Rhine River near Basel: 22 months of sampling".

Abstract
Measured microplastic concentrations in river surface waters fluctuate greatly. This variability is affected by season, and is co-driven by factors, such as sampling methodologies, sampling site, or sampling position within site. Unfortunately, most studies comprise single-instance measurements, whereas extended sampling periods are better suited to assess the relevance of such factors. Moreover, microplastic concentrations in riverine water column remain underexplored. Similar to the oceans however, this compartment likely holds significant amounts of microplastics. By representatively sampling the entire Rhine River cross-section near Basel through five sampling points over 22 months, we show that microplastic (50–3000 µm) concentration in the water column was not well explained by river discharge. This suggests a chemodynamic export regime, in which occasional high discharge events, as observed here, can nonetheless over short time periods lead to peak microplastic concentrations (highest = 1.23 × 102 n m-3, median = 4.48 n m-3). These are perhaps re-suspended particles from the bed load, or stem from shores as diffuse input. This study addresses a gap in research by examining time-resolved microplastic pollution in a major European river. It offers data on microplastic levels in the water column and in suspended particulate matter.
DOI: 10.15468/dl.afz6z6
title: Occurrence Download

description: A dataset containing 993868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 993868 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005154-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnu2y5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schistura balteata (Rendahl, 1948)"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0341105-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tgsgkjz28w.1
title: Adipocyte PI3K links adipostasis with basal insulin secretion at fasting through an adipoincretin effect. Becattini et al.

description: Immunoblots Raw Data
DOI: 10.25549/pcra-c14-180118
title: Blahovisnyk = Evangelist, 1992, no. 1 (1992 [May])

description: [description english/roman)] Blahovisnyk, 1992, no. 1 (1992 [travnya]) = Evangelist, 1992, no. 1 (1992 [May]). Journal of the Union of Christians of Evangelical-Pentecostals Ukraine.
DOI: 10.15468/dl.n6fjbs
title: Occurrence Download

description: A dataset containing 1564800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Observation, Machine Observation, Human Observation, Material sample, Material citation)",
 "Continent is Africa",
 "Country is Tanzania, United Republic of"
 ]
}

 The dataset includes 1564800 records from 509 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011096-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.