cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10925955
title: Data of "The pivotal role of heavy terpenes and anthropogenic interactions in new particle formation over the southeastern Qinghai-Tibet Plateau"
DOI: 10.5281/zenodo.13191097
title: Data of "The pivotal role of heavy terpenes and anthropogenic interactions in new particle formation on the southeastern Qinghai-Tibet Plateau"
DOI: 10.15468/dl.ydvh6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.710244 -33.617897, 149.710244 -33.624635, 149.714735 -33.624635, 149.714735 -33.617897, 149.710244 -33.617897))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046292-240626123714530/datasets/export for details.
DOI: 10.15468/dl.d25bbd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.03875 -33.622389, 149.03875 -33.624635, 149.040996 -33.624635, 149.040996 -33.622389, 149.03875 -33.622389))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046293-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10649577
title: Geo-referenced Harmonized Financial Data on Soil Defense Public Works in Italy

description: The dataset collects financial data about public works in Italy, specifically, it focuses on soil defense investments. The data is sourced from three distinct platforms: the OpenCoesione website, the OpenBDAP database, the Ministry of Economy and Finance's open data platform, and the ReNDiS database, provided by ISPRA, that exclusively gathers information about interventions in soil defense. The data obtained is interconnected using unique project codes (CUP) to prevent duplication.

Georeferencing involves integrating geographic references into the three datasets. It enhances the accuracy of spatial analyses of spatial defense investments and provides valuable context for understanding the geographical distribution of available financial data. By incorporating geographic references such as regions, provinces, and municipalities analysts can gain insights into the spatial patterns and relationships within the datasets. This step is crucial for effective decision-making and policy formulation in the field of soil defense investments.

Geographical references for each project were integrated using codes and names of regions, provinces, and municipalities from the ISPRA database. This database retrieves information directly from ISTAT websites, ensuring constant updates to names and codes, thus enhancing the accuracy of spatial analyses.

Furthermore, geographical codes facilitated the association of centroids coordinates and polygon shapes for each financial observation, enhancing spatial visualization and analysis of soil defense investments, empowering decision-makers with a deeper understanding of the geographic distribution and impact of these initiatives. This comprehensive approach allows for a deeper exploration of the geographical factors influencing soil defense investments, including identifying hotspots of activity, assessing spatial trends, and understanding the localized impact of interventions on environmental sustainability and community resilience.

The zip folder comprises four subfolders and two files. Among the files, one is a text file containing metadata, while the other is a CSV file consolidating merged data at the national level from three repositories. The subfolders contain data categorized by region and data categorized by region sourced from the three distinct repositories.

 Datasets present 28 variables: 



Columns 1-2: descriptive variables;

Column 3: total amount financed for each intervention;

Columns 4-9: geo-reference variables;

Columnn 10:25: key dates of the public works process;

Column 26: source of the data;

Columns 27-28: geo-referencing (centroids and areal shape).


An additional dataset has been added comprising all Italian municipalities, including thos that lack information on soil defense investments. In such a way, there are geographical information regarding all the peninsula.
DOI: 10.5281/zenodo.10649578
title: Soil Defense Public Works in Italy

description: The dataset presented here collects financial data about public works in Italy, specifically, it focuses on soil defense investments. The data is sourced from three distinct platforms: the OpenCoesione website, the OpenBDAP database, the Ministry of Economy and Finance's open data platform, and the ReNDiS database, provided by ISPRA, that exclusively gathers information about interventions in soil defense. The data obtained is interconnected using unique project codes (CUP) to prevent duplication. It is geographically referenced, associating each financial observation with a specific public work in an Italian municipality within a region and its centroids and areal shape. Datasets, devided by region, containe information regarding public works on soil defense in Italy. 

 They present 28 variables: 



Columns 1-2: descriptive variables;

Column 3: total amount financed for each intervention;

Columns 4-9: geo-reference variables;

Column 10:25: key dates of the public works process;

Column 26: source of the data;

Columns 27-28: geo-referencing (centroids and areal shape).
DOI: 10.5281/zenodo.13190302
title: Geo-referenced Harmonized Financial Data on Soil Defense Public Works in Italy

description: The dataset collects financial data about public works in Italy, specifically, it focuses on soil defense investments. The data is sourced from three distinct platforms: the OpenCoesione website, the OpenBDAP database, the Ministry of Economy and Finance's open data platform, and the ReNDiS database, provided by ISPRA, that exclusively gathers information about interventions in soil defense. The data obtained is interconnected using unique project codes (CUP) to prevent duplication.

Georeferencing involves integrating geographic references into the three datasets. It enhances the accuracy of spatial analyses of spatial defense investments and provides valuable context for understanding the geographical distribution of available financial data. By incorporating geographic references such as regions, provinces, and municipalities analysts can gain insights into the spatial patterns and relationships within the datasets. This step is crucial for effective decision-making and policy formulation in the field of soil defense investments.

Geographical references for each project were integrated using codes and names of regions, provinces, and municipalities from the ISPRA database. This database retrieves information directly from ISTAT websites, ensuring constant updates to names and codes, thus enhancing the accuracy of spatial analyses.

Furthermore, geographical codes facilitated the association of centroids coordinates and polygon shapes for each financial observation, enhancing spatial visualization and analysis of soil defense investments, empowering decision-makers with a deeper understanding of the geographic distribution and impact of these initiatives. This comprehensive approach allows for a deeper exploration of the geographical factors influencing soil defense investments, including identifying hotspots of activity, assessing spatial trends, and understanding the localized impact of interventions on environmental sustainability and community resilience.

The zip folder comprises four subfolders and two files. Among the files, one is a text file containing metadata, while the other is a CSV file consolidating merged data at the national level from three repositories. The subfolders contain data categorized by region and data categorized by region sourced from the three distinct repositories.

 Datasets present 28 variables: 



Columns 1-2: descriptive variables;

Column 3: total amount financed for each intervention;

Columns 4-9: geo-reference variables;

Columnn 10:25: key dates of the public works process;

Column 26: source of the data;

Columns 27-28: geo-referencing (centroids and areal shape).


An additional dataset has been added comprising all Italian municipalities, including thos that lack information on soil defense investments. In such a way, there are geographical information regarding all the peninsula.
DOI: 10.15468/dl.s64ytj
title: Occurrence Download

description: A dataset containing 2721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is one of (Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019, Moths in Berkshire vice-county - records verified via iRecord)",
 "Geometry POLYGON((-4.12707 51.94621,-4.08193 51.96756,-4.08403 51.97911,-4.04483 52.00291,-4.04868 52.01446,-4.05813 52.0225,-4.08892 52.01936,-4.08018 52.0316,-4.10607 52.0337,-4.09242 52.0484,-4.10327 52.0547,-4.14282 52.05295,-4.13967 52.03965,-4.12672 52.0295,-4.11972 52.033,-4.11202 52.0246,-4.11762 52.01866,-4.11972 52.00326,-4.14492 52.00046,-4.17012 52.00746,-4.14632 51.96791,-4.15262 51.96791,-4.17047 51.98401,-4.19321 51.99416,-4.21946 51.98051,-4.21351 51.97211,-4.25061 51.95076,-4.22751 51.91927,-4.18901 51.93187,-4.20161 51.95076,-4.16522 51.95356,-4.13617 51.97036,-4.14562 51.97666,-4.13652 51.97981,-4.13127 51.97561,-4.10467 51.98016,-4.11132 51.97036,-4.09347 51.97071,-4.13162 51.95076,-4.12707 51.94621))",
 "Month is one of (April, May)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 1990-2024"
 ]
}

 The dataset includes 2721 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046294-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.prn9k4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.049979 -33.62688, 149.047733 -33.62688, 149.047733 -33.635864, 149.052225 -33.635864, 149.052225 -33.633618, 149.05447 -33.633618, 149.05447 -33.62688, 149.063454 -33.62688, 149.063454 -33.624635, 149.049979 -33.624635, 149.049979 -33.62688), (149.049979 -33.62688, 149.052225 -33.62688, 149.052225 -33.631372, 149.049979 -33.631372, 149.049979 -33.62688))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046296-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecvfvm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.699015 -33.62688, 149.699015 -33.631372, 149.703506 -33.631372, 149.703506 -33.62688, 149.699015 -33.62688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046297-240626123714530/datasets/export for details.
DOI: 10.5066/p9w9t3zk
title: Kaloko-Honokohau National Historical Park Orangeblack Hawaiian damselfly data, 2016-2017

description: This data release includes metadata and tabular data that documents the endangered orangeblack Hawaiian damselfly (Megalagrion xanthomelas) at Kaloko-Honokohau National Historical Park during 2016-2017. Data sets document (1) numbers of damselflies observed during surveys, (2) habitat characteristics of anchialine pools at which damselflies were surveyed, (3) substrates on which female damselflies exhibited egg-laying behavior, and (4) continuous 30-day measurements of temperature and salinity taken at four pools.
DOI: 10.15468/dl.gms5yt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.05447 -33.644847, 149.05447 -33.651584, 149.056716 -33.651584, 149.056716 -33.649338, 149.058962 -33.649338, 149.058962 -33.651584, 149.063454 -33.651584, 149.063454 -33.644847, 149.058962 -33.644847, 149.058962 -33.647093, 149.056716 -33.647093, 149.056716 -33.644847, 149.05447 -33.644847))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046301-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a5ega
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.03875 -33.647093, 149.03875 -33.649338, 149.040996 -33.649338, 149.040996 -33.651584, 149.047733 -33.651584, 149.047733 -33.649338, 149.043241 -33.649338, 149.043241 -33.647093, 149.03875 -33.647093))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046302-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddaf2u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.497512 -33.662813, 148.497512 -33.665059, 148.499758 -33.665059, 148.499758 -33.662813, 148.497512 -33.662813))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046303-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jazdxd
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.998326 -33.669551, 148.998326 -33.671796, 148.99608 -33.671796, 148.99608 -33.678534, 149.005063 -33.678534, 149.005063 -33.669551, 148.998326 -33.669551))"
 ]
}

 The dataset includes 30 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046304-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kchs2
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.396451 -33.68078, 148.396451 -33.685271, 148.403189 -33.685271, 148.403189 -33.68078, 148.396451 -33.68078))"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046305-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx8ukd
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.622658 -33.678534, 149.627149 -33.678534, 149.627149 -33.676288, 149.631641 -33.676288, 149.631641 -33.669551, 149.633887 -33.669551, 149.633887 -33.671796, 149.638378 -33.671796, 149.638378 -33.669551, 149.640624 -33.669551, 149.640624 -33.665059, 149.64287 -33.665059, 149.64287 -33.669551, 149.672065 -33.669551, 149.672065 -33.660567, 149.681048 -33.660567, 149.681048 -33.658322, 149.678803 -33.658322, 149.678803 -33.65383, 149.676557 -33.65383, 149.676557 -33.649338, 149.681048 -33.649338, 149.681048 -33.651584, 149.687786 -33.651584, 149.687786 -33.658322, 149.692277 -33.658322, 149.692277 -33.660567, 149.694523 -33.660567, 149.694523 -33.658322, 149.705752 -33.658322, 149.705752 -33.651584, 149.71249 -33.651584, 149.71249 -33.644847, 149.716981 -33.644847, 149.716981 -33.642601, 149.719227 -33.642601, 149.719227 -33.640355, 149.721473 -33.640355, 149.721473 -33.633618, 149.719227 -33.633618, 149.719227 -33.631372, 149.716981 -33.631372, 149.716981 -33.638109, 149.714735 -33.638109, 149.714735 -33.640355, 149.703506 -33.640355, 149.703506 -33.638109, 149.701261 -33.638109, 149.701261 -33.642601, 149.699015 -33.642601, 149.699015 -33.640355, 149.687786 -33.640355, 149.687786 -33.642601, 149.68554 -33.642601, 149.68554 -33.640355, 149.681048 -33.640355, 149.681048 -33.644847, 149.672065 -33.644847, 149.672065 -33.651584, 149.669819 -33.651584, 149.669819 -33.656076, 149.663082 -33.656076, 149.663082 -33.658322, 149.665328 -33.658322, 149.665328 -33.662813, 149.660836 -33.662813, 149.660836 -33.660567, 149.638378 -33.660567, 149.638378 -33.662813, 149.633887 -33.662813, 149.633887 -33.660567, 149.629395 -33.660567, 149.629395 -33.669551, 149.622658 -33.669551, 149.622658 -33.678534), (149.64287 -33.665059, 149.64287 -33.662813, 149.647361 -33.662813, 149.647361 -33.665059, 149.64287 -33.665059), (149.703506 -33.642601, 149.710244 -33.642601, 149.710244 -33.647093, 149.703506 -33.647093, 149.703506 -33.642601), (149.701261 -33.649338, 149.703506 -33.649338, 149.703506 -33.65383, 149.701261 -33.65383, 149.701261 -33.649338)), ((149.622658 -33.678534, 149.618166 -33.678534, 149.618166 -33.68078, 149.613674 -33.68078, 149.613674 -33.685271, 149.622658 -33.685271, 149.622658 -33.678534)))"
 ]
}

 The dataset includes 53 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046306-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.743kcn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.376239 -33.694254, 148.376239 -33.6965, 148.385222 -33.6965, 148.385222 -33.694254, 148.376239 -33.694254))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046307-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhu4ac
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.715355 -33.698746, 148.715355 -33.703238, 148.717601 -33.703238, 148.717601 -33.707729, 148.719846 -33.707729, 148.719846 -33.698746, 148.715355 -33.698746))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046308-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13191651
title: Drone Factchecking

description: DroneFactchecking Dataset
DOI: 10.5281/zenodo.13191652
title: Drone Factchecking

description: DroneFactchecking Dataset
DOI: 10.15468/dl.qmfrbt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.706372 -33.707729, 148.706372 -33.709975, 148.710863 -33.709975, 148.710863 -33.707729, 148.706372 -33.707729)), ((148.706372 -33.707729, 148.706372 -33.703238, 148.70188 -33.703238, 148.70188 -33.705483, 148.697388 -33.705483, 148.697388 -33.707729, 148.706372 -33.707729)), ((148.706372 -33.703238, 148.710863 -33.703238, 148.710863 -33.700992, 148.706372 -33.700992, 148.706372 -33.703238)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046310-240626123714530/datasets/export for details.
DOI: 10.15468/dl.vqn64w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.360519 -33.725696, 148.360519 -33.730187, 148.36501 -33.730187, 148.36501 -33.725696, 148.360519 -33.725696))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046311-240626123714530/datasets/export for details.
DOI: 10.15468/dl.vmrseg
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-62.40146 -27.39605,-50.92751 -27.39605,-50.92751 -22.44843,-62.40146 -22.44843,-62.40146 -27.39605))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Procnias nudicollis (Vieillot, 1817)"
 ]
}

 The dataset includes 705 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046312-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2k7zz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.544674 -33.732433, 148.544674 -33.734679, 148.542428 -33.734679, 148.542428 -33.741416, 148.544674 -33.741416, 148.544674 -33.73917, 148.549166 -33.73917, 148.549166 -33.732433, 148.544674 -33.732433))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046313-240626123714530/datasets/export for details.
DOI: 10.15468/dl.83wjx3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.360519 -33.741416, 148.360519 -33.748154, 148.36501 -33.748154, 148.36501 -33.741416, 148.360519 -33.741416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046314-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ecsegv
title: Occurrence Download

description: A dataset listing the 939 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.06771 -29.71017,25.07649 -29.71017,25.07649 -28.7678,24.06771 -28.7678,24.06771 -29.71017))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 939 records were derived from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046309-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yx7xhw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.46158 -33.745908, 148.46158 -33.750399, 148.459334 -33.750399, 148.459334 -33.757137, 148.466071 -33.757137, 148.466071 -33.745908, 148.46158 -33.745908))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046315-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pjeg4m
title: Occurrence Download

description: A dataset containing 10319077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 1901-2024"
 ]
}

 The dataset includes 10319077 records from 4341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046295-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.