cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31061539.v1
title: Figure 2D

description: These data are raw flow cytometry files associated with our recent publication in <i>PLoS Biology</i> entitled "DNA damage induced by HIV-1 Vpr triggers epigenetic remodeling and transcriptional programs to enhance virus transcription and latency reactivation."
DOI: 10.15468/dl.qj962b
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL)",
 "PublishingOrg is one of (15b278a8-1356-4f7b-ba32-3c733c3d0aac, 2a7e3080-28a9-11dd-97cd-b8a03c50a862, 85be57ed-f187-49c9-b7ff-eaa622e06217, e1050db2-9faf-4d72-b860-295debaf9d2a)",
 "TaxonKey is one of (Mustela felipei Izor & de la Torre, 1978)"
 ]
 }
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005235-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qrsme
title: Occurrence Download

description: A dataset containing 60 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'JP'
 AND (occurrence.taxonkey = 2427091 OR occurrence.acceptedtaxonkey = 2427091 OR occurrence.kingdomkey = 2427091 OR occurrence.phylumkey = 2427091 OR occurrence.classkey = 2427091 OR occurrence.orderkey = 2427091 OR occurrence.familykey = 2427091 OR occurrence.genuskey = 2427091 OR occurrence.specieskey = 2427091)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 60 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005242-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60875/m9yz-vj22
title: Pattern Books

description: Spreadsheet with 446 Pattern Books from Bolton Museum (60 records), Bury Museum (15 records), Whitworth Art Gallery (1 record), Salford Museum and Art Gallery (9 records), Bradford College Textile Archive (7 records), Manchester Metropolitan University (87 records), Science and Industry Museum (11 records), Bankfield Museum (18 records), Quarry Bank Mill (3 records), University of Manchester (132 records), Manchester County Records Office (5 records), Manchester Art Gallery (10 records), Victoria and Albert Museum (45 records), Wigan Museum of Life (39 records), Macclesfield Silk Museum (4 records). Each record includes the name, company, archive, dates, number of volumes, catalogue info, digitization status, quality and online access. The spreadsheet is accompanied by a written report on the current state of the books in the North West of England, with potential solutions for making them more accessible.
DOI: 10.21227/6j8y-bx59
title: "Datasets for GeoPhrase Tree"

description: "This is the experiment dataset for our paper: \"GeoPhrase Tree: An Efficient Index for Frequent Phrase Query over Spatio-Temporal Ranges\"Our experiments are carried out on three datasets: FourSquare, Yelp and GeoText.FourSquare dataset includes check-ins, tips, and tags of restaurant venues in New York (NYC) collected from Foursquare over a four-month period. The dataset is useful for assessing the algorithm\u2019s ability to identify popular phrases related to specific locations and times.Yelp dataset is a larger dataset that consists of more than 7 million geo-tagged reviews with timestamp from Yelp, a restaurant review website. It contains user feedback, ratings, and geographical coordinates. It also allows us to test the algorithm\u2019s scalability and efficiency in handling large-scale data.GeoText dataset comprises 377,616 messages from approx- imately 9,475 geo-located microblog users within the United States. The dataset spans a wide range of topics and events, while also deviating from strict grammatical norms. It includes abbreviations and popular phrases, making it an ideal resource for evaluating the effectiveness of our algorithm in processing diverse content and identifying frequent phrases across multi- ple domains."
DOI: 10.15468/dl.hxdyef
title: Occurrence Download

description: A dataset containing 5899 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Praxelis clematidea (Griseb.) R.M.King & H.Rob."
 ]
}

 The dataset includes 5899 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019230-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nputd2
title: Occurrence Download

description: A dataset containing 5591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca myuros L."
 ]
}

 The dataset includes 5591 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019233-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af34t9
title: Occurrence Download

description: A dataset containing 1603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca bromoides L."
 ]
}

 The dataset includes 1603 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019234-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se4acp
title: Occurrence Download

description: A dataset containing 88341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dorosoma cepedianum (Lesueur, 1818)"
 ]
}

 The dataset includes 88341 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019223-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fueaxq
title: Occurrence Download

description: A dataset containing 859 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danio rerio (Hamilton, 1822)"
 ]
}

 The dataset includes 859 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019235-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqqjw5
title: Occurrence Download

description: A dataset containing 3487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Avena barbata Pott ex Link"
 ]
}

 The dataset includes 3487 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019236-250426092105405/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.28678466
title: High purity two-dimensional levitated mechanical oscillator

description: Source data for the spectra shown in Fig. 2.
DOI: 10.6084/m9.figshare.28678466.v1
title: High purity two-dimensional levitated mechanical oscillator

description: Source data for the spectra shown in Fig. 2.
DOI: 10.6084/m9.figshare.28528868
title: A multi-modality ground-to-air cross-view pose estimation dataset for field robots

description: A multi-modality ground-to-air cross-view pose estimation dataset for field robots

Here is a description of the dataset file：
1. yy-mm-dd-hh-mm image.zip: ground view image.
2. yy-mm-dd-hh-mm lidar.zip: ground point cloud information.
3. yy-mm-dd-hh-mm npy.zip: top view of the ground.
4. yy-mm-dd-hh-mm label.txt: ground image labeling.
5. yy-mm-dd-hh-mm file_name: ground image file name.
6. yy-mm-dd-hh-mm.png: satellite view.
7. intrinsic.txt: internal parameter of the camera.
8. extrinsic.txt:the external parameter between the LiDAR and the camera.


the unzipped password for the dataset：NJUSTRobVisLab
DOI: 10.6084/m9.figshare.28528868.v1
title: A multi-modality ground-to-air cross-view pose estimation dataset for field robots

description: A multi-modality ground-to-air cross-view pose estimation dataset for field robots

Here is a description of the dataset file：
1. yy-mm-dd-hh-mm image.zip: ground view image.
2. yy-mm-dd-hh-mm lidar.zip: ground point cloud information.
3. yy-mm-dd-hh-mm npy.zip: top view of the ground.
4. yy-mm-dd-hh-mm label.txt: ground image labeling.
5. yy-mm-dd-hh-mm file_name: ground image file name.
6. yy-mm-dd-hh-mm.png: satellite view.
7. intrinsic.txt: internal parameter of the camera.
8. extrinsic.txt:the external parameter between the LiDAR and the camera.


the unzipped password for the dataset：NJUSTRobVisLab
DOI: 10.6084/m9.figshare.28689941.v1
title: Urban and non-urban contributions to the social cost of carbon

description: Data from Estrada F., et al., 2025. Urban and non-urban contributions to the social cost of carbon. (SCC estimates for different SSPs)
DOI: 10.6084/m9.figshare.28689941
title: Urban and non-urban contributions to the social cost of carbon

description: Data from Estrada F., et al., 2025. Urban and non-urban contributions to the social cost of carbon. (SCC estimates for different SSPs)
DOI: 10.6084/m9.figshare.27316212
title: A spectral dataset of Representative vegetation in the Qinghai Lake region

description: the dataset " A spectral dataset for typical vegetation in the Qinghai Lake region" of all samples and processed result files were saved in the Figshare (https://doi.org/10.6084/m9.figshare.27316002) [11]. Primarily consists of: (1) basic information on typical vegetation collection sites, stored in table 2; (2) original spectral curves of typical vegetation in the Qinghai Lake region, where the original spectral data are provided in .asd format; (3) A spectral dataset for typical vegetation in the Qinghai Lake region, with the data stored in. hdr format. (4) The process result files are stored in the form of txt or excel, including Supplementary tab. 2 & Supplementary tab. 3. The total size of the compressed dataset is 109.28 MB. (Table2 Contents of the storage datasets are located at the repository [11].)
DOI: 10.6084/m9.figshare.27316212.v1
title: A spectral dataset of Representative vegetation in the Qinghai Lake region

description: the dataset " A spectral dataset for typical vegetation in the Qinghai Lake region" of all samples and processed result files were saved in the Figshare (https://doi.org/10.6084/m9.figshare.27316002) [11]. Primarily consists of: (1) basic information on typical vegetation collection sites, stored in table 2; (2) original spectral curves of typical vegetation in the Qinghai Lake region, where the original spectral data are provided in .asd format; (3) A spectral dataset for typical vegetation in the Qinghai Lake region, with the data stored in. hdr format. (4) The process result files are stored in the form of txt or excel, including Supplementary tab. 2 & Supplementary tab. 3. The total size of the compressed dataset is 109.28 MB. (Table2 Contents of the storage datasets are located at the repository [11].)
DOI: 10.6084/m9.figshare.27198915
title: Global seagrass carbon stocks

description: This is a database of global seagrass carbon stocks, assembled from a review of scientific literature and data held by the coauthors. It contains geolocated samples of soil organic carbon and biomass from seagrass meadows. Carbon stocks (organic, inorganic) are calculated to standard depths (15cm, 30cm, 50cm, 1m). Where available, raw data of core intervals are presented.
DOI: 10.6084/m9.figshare.27211473
title: A hybrid in situ and on-screen survey to monitor gully erosion across the European Union

description: The data is stored in commonly used text and GIS file formats, such as comma-separated values (CSV), ESRI shapefiles, and GeoTIFF. We georeferenced all files to the INSPIRE coordinate reference system, i.e., European Terrestrial Reference System 1989 (ETRS89-LAEA; EPSG:3035). We provide a catalogue in PDF format that includes an aerial image of each of the 3,116 observed gully erosion channels.
DOI: 10.6084/m9.figshare.27211473.v1
title: A hybrid in situ and on-screen survey to monitor gully erosion across the European Union

description: The data is stored in commonly used text and GIS file formats, such as comma-separated values (CSV), ESRI shapefiles, and GeoTIFF. We georeferenced all files to the INSPIRE coordinate reference system, i.e., European Terrestrial Reference System 1989 (ETRS89-LAEA; EPSG:3035). We provide a catalogue in PDF format that includes an aerial image of each of the 3,116 observed gully erosion channels.
DOI: 10.15468/dl.fdyy4g
title: Occurrence Download

description: A dataset containing 2474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nassella pulchra (Hitchc.) Barkworth"
 ]
}

 The dataset includes 2474 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019238-250426092105405/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.28329446
title: Proof-of-principle demonstration of muon production with an ultrashort high-intensity laser

description: raw experimental data, figure source data, SNIP code and Geant4 setting code
DOI: 10.5281/zenodo.14998681
title: Mowing Events in Austria in 2023

description: General Overview

The dataset is a raster-based map representing the frequency of mowing events across Austria in the reference year 2023. It is stored as a GeoTIFF (.tif) file with an 8-bit integer data format. It provides insights into the intensity of mowing activities based on Sentinel-2 satellite observations, which is crucial for land management, ecological studies, and agricultural monitoring.

Data Specifications



Format: GeoTIFF (.tif)

Resolution: 10m

Extent: Entire territory of Austria

Reference Year: 2023

Data Type: 8-bit integer (0–5)

NoData Value: 255

Source: Sentinel-2 satellite imagery

Masking Layer: INVEKOS Feldfrüchte 2023_1 (used to filter and analyze only meadow areas)


Attribute Information

Each pixel in the raster dataset represents the number of times an area has been mown in 2023, with the following classification:




Value
Meaning




0
No mowing detected


1
Mown once


2
Mown twice


3
Mown three times


4
Mown four times


5
Mown five times or more


255
NoData (areas without information)




Colormap Information

A predefined colormap is provided, allowing for a visually interpretable representation of mowing intensity across Austria. The colormap distinguishes different mowing frequencies using a gradient or categorical color scheme.

Potential Applications

This dataset can be used for multiple applications, including:



Agricultural Monitoring: Evaluating land-use intensity and mowing patterns in meadows.

Biodiversity and Conservation: Identifying frequently mown areas that may impact habitat quality.

Soil and Water Management: Understanding the effects of mowing on soil health and water retention.

Policy and Land Management: Supporting sustainable land-use planning and agricultural policy development.


 

Mowing_Events_Austria_2023_raw.tif

Raw version of the mowing event Map, without using a Meadow Mask.

Each pixel in the raster dataset represents the number of times an area has been mown in 2023. No re-classifiacrtion apllied for mowing eventes >5.
DOI: 10.5281/zenodo.14998682
title: Mowing Events in Austria in 2023

description: General Overview

The dataset is a raster-based map representing the frequency of mowing events across Austria in the reference year 2023. It is stored as a GeoTIFF (.tif) file with an 8-bit integer data format. It provides insights into the intensity of mowing activities based on Sentinel-2 satellite observations, which is crucial for land management, ecological studies, and agricultural monitoring.

Data Specifications



Format: GeoTIFF (.tif)

Resolution: 10m

Extent: Entire territory of Austria

Reference Year: 2023

Data Type: 8-bit integer (0–5)

NoData Value: 255

Source: Sentinel-2 satellite imagery

Masking Layer: INVEKOS Feldfrüchte 2023_1 (used to filter and analyze only meadow areas)


Attribute Information

Each pixel in the raster dataset represents the number of times an area has been mown in 2023, with the following classification:




Value
Meaning




0
No mowing detected


1
Mown once


2
Mown twice


3
Mown three times


4
Mown four times


5
Mown five times or more


255
NoData (areas without information)




Colormap Information

A predefined colormap is provided, allowing for a visually interpretable representation of mowing intensity across Austria. The colormap distinguishes different mowing frequencies using a gradient or categorical color scheme.

Potential Applications

This dataset can be used for multiple applications, including:



Agricultural Monitoring: Evaluating land-use intensity and mowing patterns in meadows.

Biodiversity and Conservation: Identifying frequently mown areas that may impact habitat quality.

Soil and Water Management: Understanding the effects of mowing on soil health and water retention.

Policy and Land Management: Supporting sustainable land-use planning and agricultural policy development.
DOI: 10.5281/zenodo.15350942
title: Mowing Events in Austria in 2023

description: General Overview

The dataset is a raster-based map representing the frequency of mowing events across Austria in the reference year 2023. It is stored as a GeoTIFF (.tif) file with an 8-bit integer data format. It provides insights into the intensity of mowing activities based on Sentinel-2 satellite observations, which is crucial for land management, ecological studies, and agricultural monitoring.

Data Specifications



Format: GeoTIFF (.tif)

Resolution: 10m

Extent: Entire territory of Austria

Reference Year: 2023

Data Type: 8-bit integer (0–5)

NoData Value: 255

Source: Sentinel-2 satellite imagery

Masking Layer: INVEKOS Feldfrüchte 2023_1 (used to filter and analyze only meadow areas)


Attribute Information

Each pixel in the raster dataset represents the number of times an area has been mown in 2023, with the following classification:




Value
Meaning




0
No mowing detected


1
Mown once


2
Mown twice


3
Mown three times


4
Mown four times


5
Mown five times or more


255
NoData (areas without information)




Colormap Information

A predefined colormap is provided, allowing for a visually interpretable representation of mowing intensity across Austria. The colormap distinguishes different mowing frequencies using a gradient or categorical color scheme.

Potential Applications

This dataset can be used for multiple applications, including:



Agricultural Monitoring: Evaluating land-use intensity and mowing patterns in meadows.

Biodiversity and Conservation: Identifying frequently mown areas that may impact habitat quality.

Soil and Water Management: Understanding the effects of mowing on soil health and water retention.

Policy and Land Management: Supporting sustainable land-use planning and agricultural policy development.


 

Mowing_Events_Austria_2023_raw.tif

Raw version of the mowing event Map, without using a Meadow Mask.

Each pixel in the raster dataset represents the number of times an area has been mown in 2023. No re-classifiacrtion apllied for mowing eventes >5.
DOI: 10.57841/casdc.0005393
title: “CF1降低水稻中的谷物镉含量”论文关联数据集
DOI: 10.15468/dl.n5jww7
title: Occurrence Download

description: A dataset containing 6066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus carinatus Hook. & Arn."
 ]
}

 The dataset includes 6066 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019239-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.