cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15476719
title: Urban-Rural Gradient in Biodiversity Intactness across Global Cities

description: Identifying the urban-rural gradient in biodiversity variation is crucial to better understand the response of biodiversity dynamics to global urbanization. However, there is a paucity of knowledge regarding the urban-rural gradient in biodiversity variation in global cities, largely due to the limitations of ground-based experiments. In this study, through statistical analyses of global gridded 100 m Biodiversity Intactness Index (BII) data, we find that the global mean BII is 0.40 ± 0.07 and 0.60 ± 0.11 for the urban and rural areas, respectively. Notably, this urban-rural BII difference is significant in Africa and Asia. There is a notable and pervasive pattern of increasing BII along the urban-rural gradient in global cities. The global mean BII demonstrates an increase from 0.37 ± 0.07 in urban center to 0.63 ± 0.12 in rural periphery. The difference in BII between the urban center and the rural periphery can reach 0.20 and 0.21 in Africa and Asia, respectively, representing 50% and 54% of the total BII in the urban center. In addition, generalized additive models (GAM) revealed nonlinear relationships between biodiversity intactness and key drivers: urban green space (UGS) exhibited threshold effects, with BII increasing significantly when vegetation indices exceeded critical levels (NDVI >0.40, EVI >0.20, VCF >60%; R²=0.58–0.72, p<0.001). Conversely, economic activity showed a strong negative association with BII (R²=0.87, p<0.001), stabilizing at higher GDP densities (>40 million/km²). The findings contribute to a deeper understanding of the large-scale urban-rural gradient in biodiversity variation and may prove beneficial for the conservation of urban biodiversity.
DOI: 10.5281/zenodo.15476720
title: Urban-Rural Gradient in Biodiversity Intactness across Global Cities

description: Identifying the urban-rural gradient in biodiversity variation is crucial to better understand the response of biodiversity dynamics to global urbanization. However, there is a paucity of knowledge regarding the urban-rural gradient in biodiversity variation in global cities, largely due to the limitations of ground-based experiments. In this study, through statistical analyses of global gridded 100 m Biodiversity Intactness Index (BII) data, we find that the global mean BII is 0.40 ± 0.07 and 0.60 ± 0.11 for the urban and rural areas, respectively. Notably, this urban-rural BII difference is significant in Africa and Asia. There is a notable and pervasive pattern of increasing BII along the urban-rural gradient in global cities. The global mean BII demonstrates an increase from 0.37 ± 0.07 in urban center to 0.63 ± 0.12 in rural periphery. The difference in BII between the urban center and the rural periphery can reach 0.20 and 0.21 in Africa and Asia, respectively, representing 50% and 54% of the total BII in the urban center. In addition, generalized additive models (GAM) revealed nonlinear relationships between biodiversity intactness and key drivers: urban green space (UGS) exhibited threshold effects, with BII increasing significantly when vegetation indices exceeded critical levels (NDVI >0.40, EVI >0.20, VCF >60%; R²=0.58–0.72, p<0.001). Conversely, economic activity showed a strong negative association with BII (R²=0.87, p<0.001), stabilizing at higher GDP densities (>40 million/km²). The findings contribute to a deeper understanding of the large-scale urban-rural gradient in biodiversity variation and may prove beneficial for the conservation of urban biodiversity.
DOI: 10.15468/dl.qj7pah
title: Occurrence Download

description: A dataset containing 54345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zelkova serrata (Thunb.) Makino)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 54345 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010268-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj9xkf
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armeria leucocephala Salzm. ex W.D.J.Koch"
 ]
}

 The dataset includes 796 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013340-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.driyqn
title: Occurrence Download

description: A dataset containing 4859 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gleditsia triacanthos L."
 ]
}

 The dataset includes 4859 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011337-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j9bte
title: Occurrence Download

description: A dataset containing 211654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhamnus cathartica L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 211654 records from 1190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075770-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5j86me
title: Occurrence Download

description: A dataset containing 9592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amazona leucocephala (Linnaeus, 1758))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9592 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020810-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcmq7e
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arachniodes assamica (Kuhn) Ohwi"
 ]
}

 The dataset includes 634 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013341-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c734ry
title: Occurrence Download

description: A dataset containing 9365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Balaenoptera borealis Lesson, 1828"
 ]
}

 The dataset includes 9365 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024037-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xswk2r
title: Occurrence Download

description: A dataset containing 277652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Biston betularia (Linnaeus, 1758)"
 ]
}

 The dataset includes 277652 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010722-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4wusx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex interfor Dyar, 1928)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017673-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/nz1jmd
title: Data from the Environemntal Statements of EMAS Registered Organizations in Poland, Italy, Spain and Germany

description: The dataset contains data obtained from the environmental statements of Organizations Registered in the Eco-Management and Audit Scheme in Poland, Italy, Spain and Germany. Data were obtained from 71 organizations in Poland, 71 organizations in Italy, 83 organizations in Spain, and 78 organizations in Germany (total n=303).Zbiór danych zawiera dane uzyskane z deklaracji środowiskowych organizacji zarejestrowanych w systemie ekozarządzania i audytu w Polsce, Włoszech, Hiszpanii i Niemczech. Dane uzyskano od 71 organizacji w Polsce, 71 organizacji we Włoszech, 83 organizacji w Hiszpanii i 78 organizacji w Niemczech (łącznie n=303).
DOI: 10.15468/dl.nvg6g5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Martin'et Hirondelle-Inventaire des sites de nidification des martinets et des hirondelles"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017678-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e228721
title: Selective Citation of Experts in Chinese Official Media during COVID-19

description: This project examines how China’s two major official media outlets—Xinhua News Agency and People’s Daily—cited scientific experts on their official social media accounts during the COVID-19 pandemic (2020–2022). The dataset documents which experts were cited, when they were cited, and what types of statements were quoted. It also includes thematic coding of the cited content to capture the communicative functions these expert quotations served.
DOI: 10.3886/e228721v1
title: Selective Citation of Experts in Chinese Official Media during COVID-19

description: This project examines how China’s two major official media outlets—Xinhua News Agency and People’s Daily—cited scientific experts on their official social media accounts during the COVID-19 pandemic (2020–2022). The dataset documents which experts were cited, when they were cited, and what types of statements were quoted. It also includes thematic coding of the cited content to capture the communicative functions these expert quotations served.
DOI: 10.15468/dl.msmz64
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ochlerotatus terrens (Walker, 1856))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017680-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ppk8n
title: Occurrence Download

description: A dataset containing 25832 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((87.62999 37.63379,91.73231 39.32127,87.69428 39.48228,83.28871 37.10149,79.97341 37.10149,76.73338 38.32321,75.83485 38.05825,75.1183 36.44943,78.13412 34.63151,81.90919 33.40793,85.95875 33.16318,88.11704 33.54143,90.00832 34.14219,95.61641 35.82994,90.49579 36.12088,87.62999 37.63379))",
 "Geometry POLYGON((107.23965 40.73662,106.40897 40.02185,105.19193 39.44231,104.24534 37.39459,104.49612 35.22141,105.05797 34.6165,106.04192 34.8446,108.476 35.8105,108.61123 36.58323,109.46123 36.17755,110.33054 36.54459,110.65895 37.10482,110.69759 37.5105,111.19986 37.22073,111.64418 37.68436,112.24304 39.34572,112.64872 40.31163,110.8135 40.8139,108.12828 40.87185,107.23965 40.73662))",
 "Geometry POLYGON((41.00615 67.65588,41.16441 66.04572,45.27123 64.23546,55.88933 64.0424,61.16621 63.46323,66.31437 64.42852,69.91809 67.96788,63.03242 70.79938,59.10694 72.34383,60.65139 73.95263,69.59633 74.85356,69.72504 77.492,66.82919 78.07116,58.33471 76.97718,54.15182 75.11097,50.80551 73.82392,50.54811 70.79938,44.2416 69.89845,41.00615 67.65588))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 {
 "or" : [
 "Year 1000-2000",
 "Year 2015-2025"
 ]
 }
 ]
}

 The dataset includes 25832 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017679-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7jqny
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-102 -26,103 -26,103 28,-102 28,-102 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adonis brevistyla Franch."
 ]
}

 The dataset includes 52 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017681-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hftxzf
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Potentilla atrosanguinea G.Lodd. ex D.Don"
 ]
}

 The dataset includes 143 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017682-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdd597
title: Occurrence Download

description: A dataset containing 949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is 061b4f20-f241-11da-a328-b8a03c50a862",
 "TaxonKey is Kleinia Mill."
 ]
}

 The dataset includes 949 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017683-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15341721
title: XChainDataGen: A Cross-Chain Dataset From June 2024 to December 2024

description: We extracted data from five cross-chain protocols:



Cross-Chain Transfer Protocol (CCTP) by Circle

Cross-Chain Interoperability Protocol (CCIP) by Chainlink

Stargate Finance (Taxi Mode)

Stargate Finance (Bus Mode)

Across Protocol


The analysis spanned 11 blockchains (Ethereum, Avalanche, BNB, Base, Linea, Scroll, Optimism, Arbitrum, Polygon, Ronin, Gnosis) in the last seven months of 2024, identifying 11,285,753 cctxs that moved over 28 billion USD in cross-chain token transfers.

The uploaded .zip contains .dump files that can be ingested into an SQL database.
DOI: 10.5281/zenodo.15341722
title: XChainDataGen: A Cross-Chain Dataset From June 2024 to December 2024

description: We extracted data from five cross-chain protocols:



Cross-Chain Transfer Protocol (CCTP) by Circle

Cross-Chain Interoperability Protocol (CCIP) by Chainlink

Stargate Finance (Taxi Mode)

Stargate Finance (Bus Mode)

Across Protocol


The analysis spanned 11 blockchains (Ethereum, Avalanche, BNB, Base, Linea, Scroll, Optimism, Arbitrum, Polygon, Ronin, Gnosis) in the last seven months of 2024, identifying 11,285,753 cctxs that moved over 28 billion USD in cross-chain token transfers.

The uploaded .zip contains .dump files that can be ingested into an SQL database.
DOI: 10.5281/zenodo.15348919
title: Polarization Correction Device with Liquid Crystals for QKD satellites systems

description: Data obtained from a polarization control device based on nematic liquid crystals and designed for QKD systems integrated in nano and microsatellites are presented. These data show how, after applying a strong perturbation to the states of the BB84 protocol, these are almost completely recovered, thus decreasing the QBER caused by polarization errors.
DOI: 10.5281/zenodo.15348920
title: Polarization Correction Device with Liquid Crystals for QKD satellites systems

description: Data obtained from a polarization control device based on nematic liquid crystals and designed for QKD systems integrated in nano and microsatellites are presented. These data show how, after applying a strong perturbation to the states of the BB84 protocol, these are almost completely recovered, thus decreasing the QBER caused by polarization errors.
DOI: 10.15468/dl.q24yvc
title: Occurrence Download

description: A dataset containing 122500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Swiss National Databank of Mayflies, Stoneflies and Caddiesflies"
 ]
}

 The dataset includes 122500 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017676-250426092105405/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.28937285
title: Oladele et al (2025) Potato Research - Dataset

description: Dataset from Oladele et al (2025) - Low-carbon footprint organo-mineral fertilizer increases potato yield, N uptake, and soil nutrient levels comparable to conventional fertilizer, Potato Research.
DOI: 10.15468/dl.xqyr4x
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Anoplolepis gracilipes (Smith, 1857)"
 ]
}

 The dataset includes 542 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017685-250426092105405/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.28490204
title: Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China’s Yangtze River Economic Belt

description: <b><i>High-resolution impervious surface area (ISA) mapping is critical for a wide range of applications, including sustainable urban planning, flood risk assessment, and land use monitoring. However, the production of meter ISA products has long relied on commercial very high-resolution (VHR) satellite imagery, which is cost-prohibitive and geographically limited. To this end, we propose a novel joint framework by integrating super-resolution and segmentation, called JointSeg, which enables the generation of 1-meter ISA maps directly from freely available Sentinel-2 imagery (10m resolution). JointSeg was trained on multimodal cross-resolution inputs, offering a scalable and affordable alternative to traditional approaches. This synergistic design enables gradual resolution enhancement from 10m to 1m while preserving fine-grained spatial textures, and ensures high classification fidelity through effective cross-scale feature fusion. This method has been successfully applied to the Yangtze River Economic Belt (YREB), a region characterized by complex urban–rural patterns and diverse topography. As a result, a comprehensive ISA mapping product for 2021, referred to as ISA-1, was generated, covering an area of over 2.2 million square kilometers. Quantitative comparisons against the 10m ESA WorldCover and other benchmark products reveal that ISA-1 achieves an F1-score of 85.71%, outperforming bilinear-interpolation-based segmentation by 9.5%, and surpassing other ISA datasets by 21.43%-61.07%. In densely urbanized areas (e.g., Suzhou, Nanjing), ISA-1 reduces ISA overestimation through improved discrimination of green spaces and water bodies. Conversely, in mountainous regions (e.g., Ganzi, Zhaotong), it identifies significantly more ISA due to its enhanced ability to detect fragmented anthropogenic features such as rural roads and sparse settlements, demonstrating its robustness across diverse landscapes. Moreover, we present biennial ISA maps from 2017 to 2023, capturing spatiotemporal urbanization dynamics across representative cities. The results highlight distinct regional growth patterns: rapid expansion in upstream cities, moderate growth in midstream regions, and saturation in downstream metropolitan areas. These findings underscore the framework’s utility for continuous, high-resolution urban monitoring using only open-access data. In summary, our method establishes a transformative approach to ISA mapping by overcoming the resolution limitations of medium-resolution imagery. This technique opens new possibilities for large-scale, fine-resolution ISA monitoring without the dependency on expensive VHR data, thus supporting global efforts in sustainable development and urban resilience planning.</i></b>
DOI: 10.15468/dl.e7fbsm
title: Occurrence Download

description: A dataset containing 12921165 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swiss National Databank of Vascular Plants"
 ]
}

 The dataset includes 12921165 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017674-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q7p7x
title: Occurrence Download

description: A dataset containing 5143 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Molothrus bonariensis (Gmelin, 1789)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 5143 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017687-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmtnhk
title: Occurrence Download

description: A dataset containing 90171464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 90171464 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017677-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x53en9
title: Occurrence Download

description: A dataset containing 1111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Gabon, Uganda, Rwanda, Cameroon, Congo, Congo, Democratic Republic of the, Central African Republic, Equatorial Guinea, Nigeria)",
 "Geometry POLYGON((-17.81309 -21.18556,59.63512 -21.18556,59.63512 14.55601,13.61881 16.88434,-20.07619 17.07914,-17.81309 -21.18556))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gorilla I.Geoffroy Saint-Hilaire, 1852"
 ]
}

 The dataset includes 1111 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017690-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.