cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/t4chwj
title: International Trade Data (HS, 92)

description: &lt;p&gt;
&lt;a href="http://atlas.hks.harvard.edu"&gt;The Atlas of Economic Complexity&lt;/a&gt; maintains trade data in multiple international classification systems. This data set contains trade flows classified via Harmonized System (HS) 1992. HS data offers a contemporary and detailed classification of goods, but covers a relatively short time period: 
&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Categorizes approximately 5,000 goods&lt;/li&gt;
 &lt;li&gt;Coverages starts in 1995&lt;/li&gt;
 &lt;li&gt;Categories break down to 1-, 2-, 4-, or 6-digit detail levels (though country reporting can be less reliable at the 6-digit level)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;
Raw data on trade in goods is provided by &lt;a href="https://comtrade.un.org/"&gt;United Nations Statistical Division (COMTRADE)&lt;/a&gt;. The data is then cleaned by Growth Lab researchers using the Bustos-Yildirim Method which uses bilateral trade flows to account for inconsistent reporting and provides more reliable accounting.
&lt;/p&gt;

&lt;p&gt;
A data dictionary for this repository describing columns within these files can be found under "hs92_data_dictionary.csv".
&lt;/p&gt;
DOI: 10.15468/dl.kghh3u
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia hondurana",
 "Year 1983-2026"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001618-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/6tayph
title: Wildlife triangle

description: Wildlife triangle data, winter census Species-specific annual snow-track counts and average snow-track abundance indices in 50 × 50 km grid cells. The snow-track abundance index for a wildlife triangle (a ~12 km line transect) is calculated as N / (km_counted × snow_days). Here N is the number of snow-tracks crossing the transect line. The denominator stands for counting effort, consisting of the kilometers counted (km_counted) multiplied with the number of days during which tracks have accumulated (snow_days). The snow days are counted from last snowfall, or from the timing of a pre-mapping of snow-tracks, which prevents from recounting the tracks during the actual survey. The presented index for a given species, year and grid cell is calculated as the arithmetic mean index over all triangles, whose point of gravity are within the focal grid cell. In addition to the species-specific average abundance indices, also the number of snow tracks recorded, and the number of triangles counted are reported. The grid is constructed according to the ETRS-TM35FIN -coordinate system and the grid cell locations are given using the lower left corner coordinates (“lon” and “lat”).
DOI: 10.5281/zenodo.18528244
title: scinax_ruber_spades_02.fasta.gz
DOI: 10.5281/zenodo.18528245
title: scinax_ruber_spades_02.fasta.gz
DOI: 10.34847/nkl.1a62n8x7
title: Asasif 2019, Operation A, Opened Coffin inv. AS-2019-1246-01, After Natural Deposits Cleaning, Artifact Survey AS-2019-OBJ-O

description: How to quote this model in a scientific paper?

Fr. Colin, Cl. Adamski, "Asasif 2019, Operation A, Opened Coffin inv. AS-2019-1246-01, After Natural Deposits Cleaning", Artifact Survey AS-2019-OBJ-O, Strasbourg, 2022, DOI: 10.34847/nkl.1a62n8x7.

Note that specifying the model DOI is necessary to ensure its permanent quotation, regardless of its location. It is stored in a long-lasting way on the data service “Nakala” of the “TGIR Huma-Num” (https://www.nakala.fr).

The photogrammetric survey AS-2019-OBJ-O-6 has been conducted to document the artifacts and contexts uncovered by the French Archaeological Mission in Asasif (Luxor, Egypt) and to prepare the publication. This version was decimated from version AS-2019-OBJ-O-4.

Photographic survey: Frédéric Colin (Univ. de Strasbourg, CNRS, UMR 7044 Archimède).
Photographic enhancement: Clémence Adamski.
Photogrammetric processing: Clémence Adamski and Frédéric Colin.

Partners of the project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS.
DOI: 10.15468/dl.bzwa9d
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia hooveri",
 "Year 1980-2026"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001622-260208012135463/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/14776777
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.2fuj4w
title: Occurrence Download

description: A dataset containing 16176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionCode is BR",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 16176 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001625-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2yuu9
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia huajuapana",
 "Year 1992-2026"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001626-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttvcrg
title: Occurrence Download

description: A dataset containing 2474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diabrotica speciosa",
 "Year 2010-2026"
 ]
}

 The dataset includes 2474 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001627-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18527831
title: SuperDARN data in netCDF format (2020-May)

description: 2020-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7309426
title: SuperDARN data in netCDF format (2020-May)

description: 2020-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.4sjb3z
title: Occurrence Download

description: A dataset listing the 1577 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "EstablishmentMeans is one of (introduced, introducedAssistedColonisation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 1577 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001619-260208012135463/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.28561229
title: Visitors to Mexico’s Archaeological Sites and Museums (1996-2026)

description: This dataset contains monthly visitor counts for 290 archaeological sites and museums across Mexico from January 1996 to January 2026. The data is sourced from the National Institute of Anthropology and History (INAH) and provides insights into cultural tourism trends over nearly three decades.Dataset DetailsThe data is disaggregated by:State: Location of the site or museumSite Type: Archaeological site or museumVisitor Type: Free or paid entryNationality: Domestic or foreign visitorsAdditional ResourcesPython Analysis Script: Demonstrates data analysis using STL decomposition to extract trends, with a line plot comparing the original series and the calculated trend.Sample Visualizations: Includes two example charts showcasing domestic and foreign visitor trends at Chichén Itzá.Requirements File: A requirements.txt file listing necessary Python dependencies for analysis.Data SourceThe data comes from the INAH Statistics Portal: https://www.estadisticas.inah.gob.mx/ConclusionThis dataset is valuable for researchers, policymakers, and data enthusiasts interested in cultural heritage tourism, visitor trends, and time-series analysis.
DOI: 10.6084/m9.figshare.28561229.v3
title: Visitors to Mexico’s Archaeological Sites and Museums (1996-2026)

description: This dataset contains monthly visitor counts for 290 archaeological sites and museums across Mexico from January 1996 to January 2026. The data is sourced from the National Institute of Anthropology and History (INAH) and provides insights into cultural tourism trends over nearly three decades.Dataset DetailsThe data is disaggregated by:State: Location of the site or museumSite Type: Archaeological site or museumVisitor Type: Free or paid entryNationality: Domestic or foreign visitorsAdditional ResourcesPython Analysis Script: Demonstrates data analysis using STL decomposition to extract trends, with a line plot comparing the original series and the calculated trend.Sample Visualizations: Includes two example charts showcasing domestic and foreign visitor trends at Chichén Itzá.Requirements File: A requirements.txt file listing necessary Python dependencies for analysis.Data SourceThe data comes from the INAH Statistics Portal: https://www.estadisticas.inah.gob.mx/ConclusionThis dataset is valuable for researchers, policymakers, and data enthusiasts interested in cultural heritage tourism, visitor trends, and time-series analysis.
DOI: 10.6084/m9.figshare.28561229.v2
title: Visitors to Mexico’s Archaeological Sites and Museums (1996-2025)

description: This dataset contains monthly visitor counts for 290 archaeological sites and museums across Mexico from <b>January 1996 to August 2025</b>. The data is sourced from the <b>National Institute of Anthropology and History (INAH)</b> and provides insights into cultural tourism trends over nearly three decades.<b>Dataset Details</b>The data is disaggregated by:<b>State</b>: Location of the site or museum<b>Site Type</b>: Archaeological site or museum<b>Visitor Type</b>: Free or paid entry<b>Nationality</b>: Domestic or foreign visitors<b>Additional Resources</b><b>Python Analysis Script</b>: Demonstrates data analysis using <b>STL decomposition</b> to extract trends, with a line plot comparing the original series and the calculated trend.<b>Sample Visualizations</b>: Includes two example charts showcasing domestic and foreign visitor trends at <b>Chichén Itzá</b>.<b>Requirements File</b>: A <code>requirements.txt</code> file listing necessary Python dependencies for analysis.Data Source: INAH Statistics PortalThis dataset is valuable for researchers, policymakers, and data enthusiasts interested in <b>cultural heritage tourism, visitor trends, and time-series analysis</b>.
DOI: 10.15468/dl.4d2jsy
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia humboldtii",
 "Year 1990-2026"
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001629-260208012135463/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/14776820
title: List Benchmarks Kaggle
DOI: 10.34740/kaggle/dsv/14776829
title: Dataset jadwal event lariku.info
DOI: 10.34740/kaggle/dsv/14776830
title: Berita UII
DOI: 10.15468/rrr784
title: NEON Biorepository Benthic Macroinvertebrate Collection (Taxonomy Reference Collection)

description: Individual macroinvertebrate specimens retained as taxonomic reference material from samples collected from wadeable streams, rivers, and lakes.
Collected samples are separated into fluid-preserved general macroinvertebrates, fluid-preserved chironomids, fluid-preserved oligochaetes, and slide-mounted chironomids and oligochaetes. Taxonomic identifications are generated from subsamples of each group. This sample type contains general macroinvertebrate specimens retained as taxonomic reference material from subsample analysis.
Sampling

3 sampling bouts per year (spring, summer, fall)
8 locations at each NEON site

5 in dominant habitat type (wadeable stream) or littoral area (lake and river)
3 in sub-dominant habitat type (wadeable streams) or pelagic area (lakes and rivers)


11 samples collected per bout total

1 sample per location for morphological taxonomy (8 samples per bout)
1 sample at 3 of the dominant habitat type (wadeable stream) or littoral area (lake and river) locations for DNA metabarcoding (3 samples per bout)



Methods

Habitat-appropriate sampling gear (e.g., Surber, Hess, corer, kicknet, D-frame sweep, petite ponar)
Samples collected from natural substrate surface

Preservation

Samples shipped to taxonomist for sorting and identification into general macroinvertebrates, chironomids, and oligochaetes

Taxonomic reference samples can be prepared and archived at the end of a taxonomist's contract period


Preserved in 95% ethanol
Small volume of glycerol added prior to October 2021
Maintained in temperature- and humidity-controlled storage
DOI: 10.5281/zenodo.18528298
title: Petrogenic organic carbon weathering and a geological carbon budget in the Yangtze River Basin
DOI: 10.5281/zenodo.18528299
title: Petrogenic organic carbon weathering and a geological carbon budget in the Yangtze River Basin
DOI: 10.25919/1gha-ej44
title: Long-term project observations for project P1361 semester 2025OCTS_07

description: PSR J1227-6208 is a recycled pulsar in a binary with a massive white dwarf companion. A recent timing measurement from combined MeerKAT and Parkes observations shows the companion mass to be between 1.2 and 1.5 solar masses, very close to the Chandrasekhar limit, resulting in potentially profound physical implications. However, the timing precision is limited by the DM timing noise. We propose regular monitoring of this pulsar with the Parkes UWL receiver in conjunction with MeerKAT observations during the following four years. The joint monitoring will significantly improve the constraints on the Post-Keplerian parameters, with Parkes observations contributing to constrain the DM noise due to its large frequency bandwidth. These observations will be added to the already existing 11-year-long timing baseline, of which the later 5 years already include high-precision MeerKAT data and Parkes UWL data. After four years of further timing with the inclusion of UWL observations, we predict an uncertainty on the masses smaller than 0.01 solar masses based on simulations. If UWL is not included, the mass uncertainties may not improve beyond their current values.
DOI: 10.5281/zenodo.18528065
title: Lake Cerknica marsh vegetation map - 2024

description: Lake Cerknica, Slovenia, is a unique wetland with extreme yearly water fluctuations that shape the vegetation structure. This archive contains data related to the vegetation fraction mapping of reeds (Phragmites australis) and tall sedges (Carex spp.) at Lake Cerknica, more specifically within the project border of LIFE Tršca (101114184 - LIFE22-NAT-SI-LIFE_TRSCA).

The data accompanies the following manuscript:

Fraction mapping with Sentinel-2 imagery reveals a long-term vegetation change in a Ramsar wetland

LIST OF FILES

Vector data:



"Endmembers.gpkg" (Endmember points data)

"Validation_plots.gpkg" (Validation plots with fractions)

"AOI.gpkg" (LIFE project area - marsh vegetation of Lake Cerknica)


Sentinel-2 data (monthly median reflectance, 2024):



"20240101-20250101_001-365_HL_TSA_SEN2L_BLU_FBM.tif" (Sentinel-2 monthly median values - 490 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_GRN_FBM.tif" (Sentinel-2 monthly median values - 560 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RED_FBM.tif" (Sentinel-2 monthly median values - 665 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE1_FBM.tif" (Sentinel-2 monthly median values - 705 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE2_FBM.tif" (Sentinel-2 monthly median values - 740 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE3_FBM.tif" (Sentinel-2 monthly median values - 783 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_NIR_FBM.tif" (Sentinel-2 monthly median values - 842 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_BNR_FBM.tif" (Sentinel-2 monthly median values - 865 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_SW1_FBM.tif" (Sentinel-2 monthly median values - 1610 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_SW2_FBM.tif" (Sentinel-2 monthly median values - 2190 nm)


Manuscript related outputs:



"Vegetation_map-2024.tif" (Vegetation cover model presented in the article)

"Publication_model-validation.xlsx" (Validation data based on the "Vegetation_map-2024.tif")


Version notes:



Version 1: Preliminary uploads
DOI: 10.5281/zenodo.18528064
title: Lake Cerknica marsh vegetation map - 2024

description: Lake Cerknica, Slovenia, is a unique wetland with extreme yearly water fluctuations that shape the vegetation structure. This archive contains data related to the vegetation fraction mapping of reeds (Phragmites australis) and tall sedges (Carex spp.) at Lake Cerknica, more specifically within the project border of LIFE Tršca (101114184 - LIFE22-NAT-SI-LIFE_TRSCA).

The data accompanies the following manuscript:

Fraction mapping with Sentinel-2 imagery reveals a long-term vegetation change in a Ramsar wetland

LIST OF FILES

Vector data:



"Endmembers.gpkg" (Endmember points data)

"Validation_plots.gpkg" (Validation plots with fractions)

"AOI.gpkg" (LIFE project area - marsh vegetation of Lake Cerknica)


Sentinel-2 data (monthly median reflectance, 2024):



"20240101-20250101_001-365_HL_TSA_SEN2L_BLU_FBM.tif" (Sentinel-2 monthly median values - 490 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_GRN_FBM.tif" (Sentinel-2 monthly median values - 560 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RED_FBM.tif" (Sentinel-2 monthly median values - 665 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE1_FBM.tif" (Sentinel-2 monthly median values - 705 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE2_FBM.tif" (Sentinel-2 monthly median values - 740 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_RE3_FBM.tif" (Sentinel-2 monthly median values - 783 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_NIR_FBM.tif" (Sentinel-2 monthly median values - 842 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_BNR_FBM.tif" (Sentinel-2 monthly median values - 865 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_SW1_FBM.tif" (Sentinel-2 monthly median values - 1610 nm)

"20240101-20250101_001-365_HL_TSA_SEN2L_SW2_FBM.tif" (Sentinel-2 monthly median values - 2190 nm)


Manuscript related outputs:



"Vegetation_map-2024.tif" (Vegetation cover model presented in the article)

"Publication_model-validation.xlsx" (Validation data based on the "Vegetation_map-2024.tif")


Version notes:



Version 1: Preliminary uploads
DOI: 10.15468/dl.tdzgvk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acourtia lepidopoda",
 "Year 1990-2026"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001631-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18528197
title: Natural Ecosystems Validation Data Set

description: This is an independent global validation data set of natural vs non-natural ecosystems. The definitions are given in the pdf document. 



The total number of sample sites is 4,943. Originally, there were 5,000 sites but as some locations fell outside of terrestrial areas, e.g., in marine waters, these were omitted from the final sample. The data set is in latitude/longitude, in a WGS84 geographic projection. The table below lists the names of the fields in the data set and a description of what is contained in each field. Each sample site is a cluster of 3 x 3 pixels at 30 m resolution.




 


Fields: 

submissionid - unique submission indentifier (there were multipel submissiosn per sample site and only one was selected)

sampleid - unique sample site identifier 

submission_item_id - unique pixel identifier

enhancement - legend codes

long_description - name for each legend code

sub_pixel_x, sub_pixel_y - coordinates of each pixel in lat/lon

 

Funded by WRI.