cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bcs75v
title: Occurrence Download

description: A dataset containing 1742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus Linnaeus, 1758"
 ]
}

 The dataset includes 1742 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013885-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnt57a
title: Occurrence Download

description: A dataset containing 268067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 268067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013849-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agnhbt
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.53786 41.16964,-6.62307 41.16964,-6.62307 44.02353,-9.53786 44.02353,-9.53786 41.16964))",
 "TaxonKey is Davallia canariensis (L.) Sm."
 ]
}

 The dataset includes 517 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013886-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfnhbb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea ×sloteri Macfarl. ex E.T.Reichert"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013887-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14010243
title: Public spendings on housing in Hungary, 1990-2024

description: This database summarises central government expenditures on housing in Hungary, from the official Budget Acts and Closing Accounts Acts and other sources (e.g. Hungarian Central Statistical Office).

The aim of the database was to determine how much money the government has spent on housing since 1990 and how much of this expenditure was socially targeted, i.e. how much was used to reduce housing poverty. The database organises publicly available central budget data into a machine-readable database. Thus, it is also making the government’s management of public funds more transparent.

The database was created for Habitat for Humanity Hungary’s Annual Report on Housing Poverty 2021 (Hungarian / English), updated for the 2024 report. Further methodological details are included in the 2021 annual report.

File list



description.rtf - Detailed description of the database (in Hungarian and English).

lakaskiadasok_values_long.csv - Values of the detailed budget expenditures. Data for each year are in the rows of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2024 prices. 

lakaskiadasok_values_wide.csv - Values of the detailed budget expenditures. Data for each year are in the columns of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2024 prices. 

lakaskiadasok_variables.csv - Description of the variables of the detailed budget expenditures, both in English and in Hungarian. 

lakastamogatasok_values.csv - Values of the database on the ‘Housing subsidies’ budget line and the data source of each cell. Expenditures are presented in both current and 2024 prices.

lakastamogatasok_variables.csv - Description of the variables on the expenditures of the ‘Housing subsidies’ budget line, both in English and Hungarian. 

price_deflator.csv - Value of the consumer price index used for the conversion to 2024 prices (2024=100).


The dataset and its description is fully bilingual (Hungarian and English).
description: The compilation of the dataset was supported by Habitat for Humanity Hungary.
DOI: 10.5281/zenodo.5803172
title: Public spendings on housing in Hungary, 1990-2022

description: This database summarises central government expenditures on housing in Hungary, compiled from the official Budget Acts and Closing Accounts Acts and other sources (e.g. the Hungarian Central Statistical Office). The aim of the database was to determine how much money the government has spent on housing since 1990 and how much of this expenditure was socially targeted, i.e. how much was used to reduce housing poverty. The database organises publicly available central budget data into a machine-readable database. Thus, it is also making the government’s management of public funds more transparent. The database was created for Habitat for Humanity Hungary’s Annual Report on Housing Poverty 2021. The analysis of the data with further methodological details is included in the annual report (in Hungarian, an English version is forthcoming in 2022). <strong>File list</strong> <strong>description.rtf</strong> - Detailed description of the database (in Hungarian and English). <strong>lakaskiadasok_values_long.csv</strong> - Values of the detailed budget expenditures. Data for each year are in the rows of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2020 prices. <strong>lakaskiadasok_values_wide.csv</strong> - Values of the detailed budget expenditures. Data for each year are in the columns of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2020 prices. <strong>lakaskiadasok_variables.csv</strong> - Description of the variables of the detailed budget expenditures, both in English and in Hungarian. <strong>lakastamogatasok_values.csv</strong> - Values of the database on the ‘Housing subsidies’ budget line and the data source of each cell. Expenditures are presented in both current and 2020 prices. <strong>lakastamogatasok_variables.csv</strong> - Description of the variables on the expenditures of the ‘Housing subsidies’ budget line, both in English and Hungarian. <strong>price_deflator.csv</strong> - Value of the consumer price index used for the conversion to 2020 prices (2020=100). The dataset and its description is fully bilingual (Hungarian and English).
description: The compilation of the dataset was supported by Habitat for Humanity Hungary.
DOI: 10.5281/zenodo.6861078
title: Public spendings on housing in Hungary, 1990-2023

description: This database summarises central government expenditures on housing in Hungary, from the official Budget Acts and Closing Accounts Acts and other sources (e.g. Central Statistical Office). The aim of the database was to determine how much money the government has spent on housing since 1990 and how much of this expenditure was socially targeted, i.e. how much was used to reduce housing poverty. The database organises publicly available central budget data into a machine-readable database. Thus, it is also making the government’s management of public funds more transparent. The database was created for Habitat for Humanity Hungary’s Annual Report on Housing Poverty 2021, updated for the 2022 report. The analysis of the data with further methodological details is included in the annual report (in Hungarian, an English version is forthcoming in 2022). <strong>File list</strong> <strong>description.rtf</strong> - Detailed description of the database (in Hungarian and English). <strong>lakaskiadasok_values_long.csv</strong> - Values of the detailed budget expenditures. Data for each year are in the rows of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2021 prices. <strong>lakaskiadasok_values_wide.csv</strong> - Values of the detailed budget expenditures. Data for each year are in the columns of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2021 prices. <strong>lakaskiadasok_variables.csv</strong> - Description of the variables of the detailed budget expenditures, both in English and in Hungarian. <strong>lakastamogatasok_values.csv</strong> - Values of the database on the ‘Housing subsidies’ budget line and the data source of each cell. Expenditures are presented in both current and 2021 prices. <strong>lakastamogatasok_variables.csv</strong> - Description of the variables on the expenditures of the ‘Housing subsidies’ budget line, both in English and Hungarian. <strong>price_deflator.csv</strong> - Value of the consumer price index used for the conversion to 2021 prices (2021=100). The dataset and its description is fully bilingual (Hungarian and English).
description: The compilation of the dataset was supported by Habitat for Humanity Hungary.
DOI: 10.5281/zenodo.8311643
title: Public spendings on housing in Hungary, 1990-2024

description: This database summarises central government expenditures on housing in Hungary, from the official Budget Acts and Closing Accounts Acts and other sources (e.g. Hungarian Central Statistical Office).


The aim of the database was to determine how much money the government has spent on housing since 1990 and how much of this expenditure was socially targeted, i.e. how much was used to reduce housing poverty. The database organises publicly available central budget data into a machine-readable database. Thus, it is also making the government’s management of public funds more transparent.


The database was created for Habitat for Humanity Hungary’s Annual Report on Housing Poverty 2021 (Hungarian / English), updated for the 2023 report. Further methodological details are included in the 2021 annual report.


File list



	
description.rtf - Detailed description of the database (in Hungarian and English).
	
lakaskiadasok_values_long.csv - Values of the detailed budget expenditures. Data for each year are in the rows of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2023 prices. 
	
lakaskiadasok_values_wide.csv - Values of the detailed budget expenditures. Data for each year are in the columns of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2023 prices. 
	
lakaskiadasok_variables.csv - Description of the variables of the detailed budget expenditures, both in English and in Hungarian. 
	
lakastamogatasok_values.csv - Values of the database on the ‘Housing subsidies’ budget line and the data source of each cell. Expenditures are presented in both current and 2023 prices.
	
lakastamogatasok_variables.csv - Description of the variables on the expenditures of the ‘Housing subsidies’ budget line, both in English and Hungarian. 
	
price_deflator.csv - Value of the consumer price index used for the conversion to 2023 prices (2023=100).



The dataset and its description is fully bilingual (Hungarian and English).
description: The compilation of the dataset was supported by Habitat for Humanity Hungary.
DOI: 10.15468/dl.b2wy64
title: Occurrence Download

description: A dataset containing 1084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Vermont",
 "TaxonKey is Osmia Panzer, 1806"
 ]
}

 The dataset includes 1084 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013888-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6d2mp
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quamoclit sloteri House"
 ]
}

 The dataset includes 21 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013889-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/3301225
title: Cole et al. comparative genomics FRE tree file and alignment

description: Cole et al. comparative genomics FRE tree file (Newick) and alignment (FastA)
DOI: 10.15156/bio/2959357
title: Nexus multiple sequence alignment plus Newick tree file for Spirin et al., Tectobasidium study, 2024

description: Nexus multiple sequence alignment plus Newick tree file for Spirin et al., Tectobasidium study, 2024
DOI: 10.15468/dl.9kmffv
title: Occurrence Download

description: A dataset containing 1825 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EDP Baixo Sabor: Construction and Reservoir Filling Phases - Iberian Wolf (Canis lupus) [Sign surveys] [2010-2014]"
 ]
}

 The dataset includes 1825 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013890-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5523/bris.3vn06vk29pqpy2c78mvhmielv1
title: PP4M Project data

description: Quantitative (questionnaire and routine data) and qualitative(interview) data from the PP4M project.
DOI: 10.5518/881
title: Data for Dissolution of Cotton by 1-Ethyl-3-Methylimidazolium Acetate Studied with Time-Temperature Superposition for Three Different Fibre Arrangements

description: This study has investigated the dissolution of cotton fibres in the ionic liquid 1-ethyl-3-methylimidazolium acetate ([C2mim][OAc]) for three fibre arrangements. Dissolution was carried out with excess [C2mim][OAc] at various temperatures and times followed by coagulation with water. Optical microscopy (OM) indicated that this procedure produced a coagulated fraction surrounding the original fibres. X-ray diffraction (XRD) showed that the crystal structure of this coagulated fraction was predominantly cellulose II, as opposed to the original fibres that were mostly cellulose I. The OM and XRD results showed that growth of the coagulated fraction obeyed time-temperature superposition (TTS) and displayed an Arrhenius behaviour, allowing a dissolution activation energy to be determined. Although the growths of coagulated fraction with time were different for these distinct three arrangements, each could be individually shifted to form master curves using TTS, leading to very similar activation energies, 96 ± 3 kJ/mol.
DOI: 10.15468/dl.p2pz8a
title: Occurrence Download

description: A dataset containing 14340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nelumbo Adans."
 ]
}

 The dataset includes 14340 records from 368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013891-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bg2fe4
title: Occurrence Download

description: A dataset containing 3197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhipiceridae",
 "Year 1884-2024"
 ]
}

 The dataset includes 3197 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013892-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27swcv
title: Occurrence Download

description: A dataset containing 1213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.61914 41.75598,-6.43829 41.68518,-6.43128 43.82297,-8.87685 43.9183,-9.5398 43.91754,-9.61914 41.75598))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix atrocinerea Brot."
 ]
}

 The dataset includes 1213 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013894-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnfzqc
title: Occurrence Download

description: A dataset containing 3197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhipiceridae",
 "Year 1884-2024"
 ]
}

 The dataset includes 3197 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013893-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsm4kg
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Genista sanabrensis Valdés Berm., Castrov. & Casaseca"
 ]
}

 The dataset includes 391 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013896-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgybnz
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-9.44863 41.66144,-6.82098 41.66144,-6.82098 43.91178,-9.44863 43.91178,-9.44863 41.66144))",
 "TaxonKey is Alnus glutinosa (L.) Gaertn."
 ]
}

 The dataset includes 1140 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013898-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjqhym
title: Occurrence Download

description: A dataset containing 3046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kalimeris (Cass.) Cass."
 ]
}

 The dataset includes 3046 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013900-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79p5q7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.96161 42.03279,-5.36032 42.03279,-5.36032 43.01902,-6.96161 43.01902,-6.96161 42.03279))",
 "TaxonKey is Lavandula sampaioana (Rozeira) Rivas Mart., T.E.Díaz & Fern.Gonz."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013901-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8mt7t
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.12_1",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "Year 1000-2024"
 ]
}

 The dataset includes 303 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013903-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.26977768
title: Revised Supplemental Materials

description: Longer and more detailed description of this file
DOI: 10.60893/figshare.apl.26977768.v1
title: Revised Supplemental Materials

description: Longer and more detailed description of this file
DOI: 10.15468/dl.dd7ad2
title: Occurrence Download

description: A dataset containing 32890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 32890 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013904-241024112534372/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/9771863
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.15468/dl.znvtsj
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.05794 41.90185,-4.87177 41.90185,-4.87177 43.10767,-7.05794 43.10767,-7.05794 41.90185))",
 "TaxonKey is Genista hystrix Lange"
 ]
}

 The dataset includes 448 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013905-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/884
title: Dataset for the study of “Model Lipid Membranes Assembled from Natural Plant Thylakoids into 2D Microarray Patterns as a Platform to Assess the Organization and Photophysics of Light‐Harvesting Proteins”

description: This dataset shows the raw data, analysed data and documentation related to figures and tables from the study "Model Lipid Membranes Assembled from Natural Plant Thylakoids into 2D Microarray Patterns as a Platform to Assess the Organization and Photophysics of Light‐Harvesting Proteins". This includes: absorbance and fluorescence spectra; images from Fluorescence Lifetime Imaging Microscopy (FLIM); images from Atomic Force Microscopy measurements; epifluorescence measurements; analysis of fluorescence data (FLIM); other graphical analyses; tabulated numerical data.