cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mkxbf
title: CCDC 1506765: Experimental Crystal Structure Determination

description: Related Article: Vladimir P Sheverdov, Maksim A Maryasov, Vera V. Davydova, Oleg E Nasakin, Konstantin A Lyssenko|2016|J.Pharm.Sci.Emerg.Drugs|04||doi:10.4172/2380-9477.1000114
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: 10.5517/ccdc.csd.cc1mmcrc
title: CCDC 1508173: Experimental Crystal Structure Determination

description: Related Article: Qian Zhang, Lei Chen, Ying-jie Ye, Jia-jin Wu|2017|Huaxue Shiji|39|1049|doi:10.13822/j.cnki.hxsj.2017.10.006
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: 10.5517/ccdc.csd.cc1mmcsd
title: CCDC 1508174: Experimental Crystal Structure Determination

description: Related Article: Qian Zhang, Lei Chen, Ying-jie Ye, Jia-jin Wu|2017|Huaxue Shiji|39|1049|doi:10.13822/j.cnki.hxsj.2017.10.006
description: Related Article: Qian Zhang|2018|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: 10.5517/ccdc.csd.cc1mmdd1
title: CCDC 1508193: Experimental Crystal Structure Determination

description: Related Article: Vikram D. Singh, Vinutha V Salian, B. Narayana, B. K. Sarojini, Kamni, Sumati Anthal, Rajni Kant|2017|IOSR J.Appl.Chem.|10|53|doi:10.9790/5736-1009015357
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: 10.5517/ccdc.csd.cc1p4ht4
title: CCDC 1553466: Experimental Crystal Structure Determination

description: Related Article: Yingjie Liu, Zhixiang Zhao, Ran Huo, Qingxiang Liu|2019|Scientific Reports|9||doi:10.1038/s41598-018-36916-w
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: 10.5517/ccdc.csd.cc1p8p7w
title: CCDC 1557478: Experimental Crystal Structure Determination

description: Related Article: Yingjie Liu, Zhixiang Zhao, Ran Huo, Qingxiang Liu|2019|Scientific Reports|9||doi:10.1038/s41598-018-36916-w
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.u4tze5
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichocentrum splendidum"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035226-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ys6hgk
title: Occurrence Download

description: A dataset containing 11283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.24_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnonotus",
 "Year 2010-2025"
 ]
}

 The dataset includes 11283 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035228-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzysj8
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parkinsonia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 104 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035229-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9ej6v
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 24.59913, -109.6188 24.59913, -109.6188 24.74913, -109.7688 24.74913, -109.7688 24.59913))"
 ]
}

 The dataset includes 82 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035230-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6gy66
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moxostoma congestum",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035231-251025141854904/datasets/export for details.
DOI: 10.15468/dl.2b4x6c
title: Occurrence Download

description: A dataset containing 52288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "TaxonKey is Acer saccharum"
 ]
}

 The dataset includes 52288 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035202-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3er2t5
title: Occurrence Download

description: A dataset containing 5545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, FloraCAT: Banco de datos de los cormófitos de Cataluña, EDP Foz-Tua: Vascular Flora – Ecological and Complentary Measures Monitoring Programs – Contruction Phase I [2012-2014], Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Sistema de Información de la vegetación Ibérica y Macaronésica, EDP Foz-Tua: Vascular Flora and Habitats – Ecological and Complementary Measures Monitoring Programs – Construction Phase II [2015-2016] and Flooding Phase [2016-2017], Catálogo Florístico Histórico de Navarra. Gobierno de Navarra)",
 "TaxonKey is Asplenium trichomanes"
 ]
}

 The dataset includes 5545 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035232-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez9fcx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 24.59913, -109.4688 24.59913, -109.4688 24.74913, -109.6188 24.74913, -109.6188 24.59913))"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035233-251025141854904/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/13740840
title: WHAM - Dataset
DOI: 10.15468/dl.x4q3ce
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moxostoma erythrurum",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035235-251025141854904/datasets/export for details.
DOI: 10.15468/dl.vy9un6
title: Occurrence Download

description: A dataset containing 40868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliptamus italicus"
 ]
}

 The dataset includes 40868 records from 1151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035227-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v45pq5
title: Occurrence Download

description: A dataset containing 0 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 (Panthera tigris (Linnaeus, 1758))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016278-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qb6wkh
title: Occurrence Download

description: A dataset containing 4178 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 (Panthera tigris (Linnaeus, 1758))",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 4178 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016276-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a27w6774j
title: Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) Level-2 Monthly Geopotential Spherical Harmonics Center for Space Research (CSR) Release 06.2 (RL06.2), 2018-present

description: FOR EXPERT USE ONLY. This dataset contains estimates of the total month-by-month geopotential of the Earth, derived from the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) mission measurements, produced by the German Research Centre for Geosciences (GFZ). The data are provided as spherical harmonic coefficients, averaged over approximately a month. These coefficients are derived from the intersatellite range changes between the twin spacecraft of the GRACE-FO mission. This GRACE-FO RL06.2 data is an updated version of the initial GRACE-FO RL06 and RL06.1 Level-2 data products. RL06.2 differs from RL06.1 only in the handling of GPS data set during Level-2 processing. GPS handling for RL06.2 was re-assessed due to steady degradation in low degrees during late 2022 and 2023 in RL06.1. Alterations in the processing of the GPS data were made to increase the volume of data available after editing. Additionally relative weighting between KBR and GPS was updated after June 2020 to use optimal weighting instead of capped weights for GPS used for RL06.1 solutions. The resulting RL06.2 time series shows improvement in the low degree coefficients after 2022. All GRACE-FO RL06.2 Level-2 products are fully compatible with the GRACE RL06 Level-2 fields. Refer to the mission page for more information.
 GRACE-FO. 2023. GRACEFO_L2_CSR_MONTHLY_0062. Ver. 6.2. PO.DAAC, CA, USA. Dataset accessed [2024-01-11] at https://doi.org/10.5067/GFL20-MC062
DOI: 10.15468/dl.t5mbg4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049642-250811113504898/datasets/export for details.
DOI: 10.15468/dl.5auy6z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphoricarpos orbiculatus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049643-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmyr8c
title: Occurrence Download

description: A dataset containing 15072177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Specimen, Observation)",
 "Continent is one of (Europe, Asia, Africa)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "GbifRegion is one of (Europe and Central Asia, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Continent derived from coordinates, Country derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Riodinidae, Hesperiidae, Papilionidae, Pieridae, Lycaenidae, Nymphalidae)",
 "Year 2000-2026"
 ]
}

 The dataset includes 15072177 records from 1701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002563-260129131611470/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.29175716
title: Data supporting the investigation titled - <i>The impact of heated garments on substitute performance in soccer match-play.</i>

description: Data on soccer performance following the application of a passive heat intervention.
DOI: 10.6084/m9.figshare.29175716.v1
title: Data supporting the investigation titled - <i>The impact of heated garments on substitute performance in soccer match-play.</i>

description: Data on soccer performance following the application of a passive heat intervention.
DOI: 10.15468/dl.th7x4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9096 1.1987,44.9648 1.2321,44.9648 1.8496,35.9648 1.8496,35.9648 -7.1504,40.3029 -7.1504,40.4263 -6.8134,40.0733 -6.4249,39.9535 -5.9102,40.3587 -5.2718,40.3515 -4.7573,40.0702 -4.4392,40.3811 -3.7186,40.7402 -3.0348,41.8195 -2.1723,43.8399 0.2902,44.9096 1.1987))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012203-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xz23au
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys Parr, 1953",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012204-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gqz856
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-899.0",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammillaria spinosissima Lem."
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012205-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15565291
title: Deep Learning with Satellite Images Enables High-Resolution Income Estimation: a Case Study of Buenos Aires
title: Mapeando el ingreso del Área Metropolitana de Buenos Aires en alta resolución: Un enfoque basado en Redes Neuronales aplicadas a imágenes

description: This repository contains the datasets required for replicating the results in Abbate et al (forthcoming). The datasets also include per capita income estimates at a 50x50 meter resolution for the years 2013, 2018, and 2022, using satellite images from the Metropolitan Area of Buenos Aires (Argentina) and 2010 census+survey data. The model, based on the EfficientnetV2 architecture, achieved high accuracy in predicting household incomes (Rsquared=0.878), surpassing existing methods in spatial resolution and performance. 

Inside the Replication Package folder, the user can replicate the main results from the paper. This includes:





Small Area Estimation (SAE) Replication:





Argentina Household Survey Data (EPH): Processed microdata for 2010, 2013, 2018, and 2022 (ARG_*_EPHC-S2_*.dta).




Argentina Census Microdata: Raw 2010 census microdata (censo2010_fullraw_p.dta).




Census Tract Map: Shapefile of 2010 census tracts (radios_eph_with_link.shp).




SAE Output: The final small_area_estimates.parquet file containing census tract-level population and estimated income, which serves as labels for the CNN model.






CNN-based Income Prediction Replication (Paper Results):





CNN Model Income Predictions: Gridded 50x50m income estimates for Buenos Aires for 2013, 2018, and 2022 (income_estimates_*.shp).




Normalization Scalars: A CSV file (scalars_ln_pred_inc_mean_trimTrue.csv) to convert the model's log-scale outputs into real income values (2010 PPP-adjusted Argentinian pesos).




World Settlement Footprint (WSF): Satellite-based data (WSF2015_v2_-60_-36.tif) used to mask predictions in uninhabited areas.





Key prediction datasets are published in shapefile format, while input data for SAE and other auxiliary files are in formats like .dta, .parquet, .csv, and .tif.

Results can be replicated by connecting these datasets with the scripts available at the GitHub repo linked below.

Important Usage Note: Since the predictions for each 50x50m cell individually present some random variation, we recommend that the results are used by averaging out the estimations for each area of interest (e.g., municipalities, neighborhoods, sections, or census tracts) and not at an individual cell level. As detailed throughout the paper, the aggregated results, even in small areas such as census tracts, predict household incomes with precision.

Furthermore, inside this repository, it is possible to access and use the model’s trained parameters to make predictions about different satellite images.

Data can be visualized by accessing: https://ingresoamba.netlify.app
DOI: 10.5281/zenodo.11200070
title: High-Resolution Income Estimates Using Satellite Imagery: A Deep Learning Approach applied in Buenos Aires
title: Mapeando el ingreso del Área Metropolitana de Buenos Aires en alta resolución: Un enfoque basado en Redes Neuronales aplicadas a imágenes

description: This repository contains three datasets generated from a machine learning model applied to high-resolution satellite imagery. The dataset includes per capita income estimates at a 50x50 meter resolution for the years 2013, 2018, and 2022, using satellite images from the Metropolitan Area of Buenos Aires (Argentina) and 2010 census+survey data. The model, based on the EfficientnetV2 architecture, achieved high accuracy in predicting household incomes (Rsquared=0.878), surpassing existing methods in spatial resolution and performance. 

Datasets are published in geoparquet format. Since the predictions for each cell individually present some random variation, we recommend that the results are used averaging out the estimations for each area of interest (municipalities, neighborhoods, sections or census tracts) and not at an individual level. As we detailed throughout the paper, the aggregated results, even in small areas such as census tracts, predict in a precise way the households’ income.

Furthermore, inside this repository, it is possible to access and use the model’s trained parameters to make predictions about different satellite images.
DOI: 10.15468/dl.a8unhh
title: Occurrence Download

description: A dataset containing 5820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia myrsinites L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5820 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012206-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.