cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xzawr5
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphausia crystallorophias",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006674-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yujaq4
title: Occurrence Download

description: A dataset containing 1155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Campanula persicifolia)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1155 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006672-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.19051.20008
title: Iaroslav Lebedynsky (2011): Les tamgas. Une "héraldique" de la steppe, Paris
DOI: 10.15468/dl.sq4vaw
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Czechia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anagallis foemina"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006676-260120142942310/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.31132681
title: Dataset_Heron_Icemummy_and_Comparison

description: Dataset Contains µCT image data of Heron icemummy bones and comparable modern species (gray and silver Heron) further Bone morphometric results are added
DOI: 10.6084/m9.figshare.31132681.v1
title: Dataset_Heron_Icemummy_and_Comparison

description: Dataset Contains µCT image data of Heron icemummy bones and comparable modern species (gray and silver Heron) further Bone morphometric results are added
DOI: 10.15468/dl.rstsrw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.903953 25.442535, 89.826195 25.436958, 89.750373 25.420365, 89.678372 25.393169, 89.611981 25.356048, 89.552842 25.309922, 89.502416 25.255938, 89.461941 25.195434, 89.432402 25.129907, 89.414514 25.060979, 89.40869600000001 24.99035, 89.41507300000001 24.91976, 89.433466 24.850947, 89.463404 24.7856, 89.504136 24.725321, 89.55465100000001 24.671588, 89.61370100000001 24.625713, 89.67983599999999 24.588817, 89.751436 24.561801, 89.82675399999999 24.545323, 89.903953 24.539786, 89.981151 24.545323, 90.05646900000001 24.561801, 90.12806999999999 24.588817, 90.194205 24.625713, 90.253255 24.671588, 90.303769 24.725321, 90.34450200000001 24.7856, 90.37444000000001 24.850947, 90.392833 24.91976, 90.399209 24.99035, 90.39339200000001 25.060979, 90.37550299999999 25.129907, 90.34596500000001 25.195434, 90.30548899999999 25.255938, 90.25506300000001 25.309922, 90.195925 25.356048, 90.129533 25.393169, 90.05753199999999 25.420365, 89.98171000000001 25.436958, 89.903953 25.442535))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006675-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18345710
title: SuperDARN data in netCDF format (2003-May)

description: 2003-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.6730238
title: SuperDARN data in netCDF format (2003-May)

description: 2003-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: 10.6084/m9.figshare.31132705
title: Integration of Cross-Chain Interoperability and Zero-Knowledge Proof: A Privacy Protection Solution for College Students' Digital Moral Education Records

description: Under the background of digital transformation, the cross-institutional sharing of college students' moral education archives faces dual challenges of data silos and privacy leakage. The traditional centralized management model has risks of single point of failure, and the excessive exposure of sensitive information during archive verification has become a key bottleneck restricting the open circulation of educational data. This thesis proposes a privacy protection solution for college students' digital moral education archives that integrates cross-chain interoperability and zero-knowledge proof, aiming to achieve trusted data exchange and fine-grained privacy control among multi-campus blockchain networks. The solution constructs a hierarchical architecture centered on Hyperledger Fabric consortium chain, designs a cross-chain data sharing protocol based on improved Hash Time-Locked Contracts, and adopts BLS aggregate signatures to optimize the multi-signature verification efficiency of the relay committee. The privacy protection module introduces the Groth16 zero-knowledge proof algorithm, combined with Poseidon hash function to construct an efficient proof circuit, supporting three selective disclosure modes: full disclosure, range proof, and existence proof. Experimental results show that the system's cross-chain throughput reaches 92 TPS, an improvement of 17.9% over existing solutions; the average privacy leakage rate is reduced by 73.5%, and the anti-correlation attack success rate is only 3.7%; on-chain storage space is saved by 92.4%. Cross-institutional verification latency is shortened from tens of hours in traditional mode to 4.21 seconds, with transaction success rate maintained at 99.42%. This solution provides an effective technical path for trusted sharing and privacy protection of college student archives, and has important reference value for promoting the modernization of educational data governance.
DOI: 10.6084/m9.figshare.31132705.v1
title: Integration of Cross-Chain Interoperability and Zero-Knowledge Proof: A Privacy Protection Solution for College Students' Digital Moral Education Records

description: Under the background of digital transformation, the cross-institutional sharing of college students' moral education archives faces dual challenges of data silos and privacy leakage. The traditional centralized management model has risks of single point of failure, and the excessive exposure of sensitive information during archive verification has become a key bottleneck restricting the open circulation of educational data. This thesis proposes a privacy protection solution for college students' digital moral education archives that integrates cross-chain interoperability and zero-knowledge proof, aiming to achieve trusted data exchange and fine-grained privacy control among multi-campus blockchain networks. The solution constructs a hierarchical architecture centered on Hyperledger Fabric consortium chain, designs a cross-chain data sharing protocol based on improved Hash Time-Locked Contracts, and adopts BLS aggregate signatures to optimize the multi-signature verification efficiency of the relay committee. The privacy protection module introduces the Groth16 zero-knowledge proof algorithm, combined with Poseidon hash function to construct an efficient proof circuit, supporting three selective disclosure modes: full disclosure, range proof, and existence proof. Experimental results show that the system's cross-chain throughput reaches 92 TPS, an improvement of 17.9% over existing solutions; the average privacy leakage rate is reduced by 73.5%, and the anti-correlation attack success rate is only 3.7%; on-chain storage space is saved by 92.4%. Cross-institutional verification latency is shortened from tens of hours in traditional mode to 4.21 seconds, with transaction success rate maintained at 99.42%. This solution provides an effective technical path for trusted sharing and privacy protection of college student archives, and has important reference value for promoting the modernization of educational data governance.
DOI: 10.15468/dl.je55cz
title: Occurrence Download

description: A dataset containing 9974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceratophyllum demersum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 9974 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006678-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkcyvp
title: Occurrence Download

description: A dataset containing 28591 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pecten maximus"
 ]
}

 The dataset includes 28591 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006677-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5khbr
title: Occurrence Download

description: A dataset containing 995 records in GBIF matching the query:
SELECT
 '159' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -4.045127286108716
 AND decimalLatitude &lt;= 0.0
 AND decimalLongitude &gt;= 39.91109648901506
 AND decimalLongitude &lt;= 44.969125364547
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 995 records were derived from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006665-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwecm2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.86750000000001 24.483319, 88.79034299999999 24.477742, 88.71510499999999 24.461149, 88.643657 24.433954, 88.57777299999999 24.396833, 88.51908400000001 24.350707, 88.469038 24.296721, 88.428862 24.236214, 88.399539 24.170684, 88.38177399999999 24.101749, 88.375989 24.031111, 88.382305 23.960512, 88.400548 23.891687, 88.430252 23.826328, 88.470671 23.766037, 88.52080100000001 23.712291, 88.579407 23.666405, 88.64504700000001 23.6295, 88.716114 23.602476, 88.790873 23.585994, 88.86750000000001 23.580455, 88.94412699999999 23.585994, 89.01888599999999 23.602476, 89.08995299999999 23.6295, 89.155593 23.666405, 89.21419899999999 23.712291, 89.264329 23.766037, 89.304748 23.826328, 89.334452 23.891687, 89.352695 23.960512, 89.359011 24.031111, 89.35322600000001 24.101749, 89.335461 24.170684, 89.306138 24.236214, 89.265962 24.296721, 89.21591600000001 24.350707, 89.15722700000001 24.396833, 89.09134299999999 24.433954, 89.01989500000001 24.461149, 88.94465700000001 24.477742, 88.86750000000001 24.483319))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006680-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/5obz3w
title: Dane dotyczące rozmieszczenia Trapa natans oraz informacje o danych publicznie dostępnych z serwisu GBIF i WorldClim

description: Zbiór danych obejmuje informacje dotyczące rozmieszczenia Trapa natans w Polsce od przełomu XX i XXI wieku. Dane zostały pogrupowane w cztery okresy czasowe:·        1950. (wg Hryniewieckiego, B. 1950. Kotewka czyli orzech wodny (Trapa natans L.). Chrońmy Przyr. Ojcz, 6(11-12), 3-9)·        1980. (wg Pióreckiego, J. 1980. Kotewka – orzech wodny Trapa L. w Polsce: rozmieszczenie, tempo zanikania stanowisk, użytkowanie i ochrona, biologia, ekologia i hodowla w warunkach półnaturalnych, badania eksperymentalne. TPN)·        2014 (wg Kaźmierczakowej, R., Zarzyckiego, K., 2014. Polska Czerwona Księga Roślin. Paprotniki i rośliny kwiatowe. Instytut Ochrony Przyrody PAN. W: Mirek, Z. (red.), Kraków, s. 1–895)·        Okres po 2020 roku (wg https://www.iop.krakow.pl/kotewka, dostęp 28 sierpnia 2023)Zbiór danych zawiera również odniesienia do serwisu WorldClim oraz zestawu plików pochodzących z bazy GBIF, które posłużyły do modelowania prognozowanego rozmieszczenia Trapa natans w Europie.
DOI: 10.15468/dl.zc4wky
title: Occurrence Download

description: A dataset listing the 827 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Arealrepresentativ naturovervåkning (ANO)"
 ]
}

 The dataset's 827 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006673-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq2d8f
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Puccinellia distans",
 "Year 1970-2000"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006681-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/9pzhm6
title: Butterfly abundance data of four different short rotation coppice (SRC) life stages

description: The dataset contains abundance data of butterfly species captured with coloured canopy Malaise traps in four different life stages of short rotation coppices (SRC): harvested, young (2 year old), mature (3 year old) and old (4 year old). In each life stage, three Malaise traps were placed (3 sites per life stage). The traps were active for two weeks, each in May, June, July and August. The samples were collected to compare the butterfly richness and abundance between the life stages. Butterflies were identified by an entomological expert to species level. Furthermore, the dataset comprises the wet mass of the butterfly individuals per species and sample, weighed with a precision scale (0.001 g)
DOI: 10.5281/zenodo.18257310
title: Data for "Interplay of Cohesive, Griffith, and Geometric Scales in the Nucleation of Friction"

description: All data for the paper: "Interplay of Cohesive, Griffith, and Geometric Scales in the Nucleation of Friction".
DOI: 10.5281/zenodo.18257311
title: Data for "Interplay of Cohesive, Griffith, and Geometric Scales in the Nucleation of Friction"

description: All data for the paper: "Interplay of Cohesive, Griffith, and Geometric Scales in the Nucleation of Friction".
DOI: 10.15468/dl.v65abj
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphausia longirostris",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006682-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18346942
title: Overview of Literature on Potential Effect of Cu, Cd, Zn, Mn, Fe and Pb on Marine Phytoplankton

description: This dataset compiles previously published literature reporting threshold concentrations and toxicological responses of marine phytoplankton to dissolved trace metals. The dataset focuses on copper (Cu), cadmium (Cd), zinc (Zn), manganese (Mn), iron (Fe), and lead (Pb), and includes both field-based and laboratory-based experimental studies.

For each study, the dataset records the geographic location of phytoplankton collection, the experimental setting (in-situ, on-board, or on-land laboratory experiments), the growth medium used (where applicable), the dissolved trace metal investigated, and the chemical form in which the metal was added. Reported threshold concentrations (nM) include LC50 or IC50 values, along with exposure duration and response variables (e.g., growth rate, cell density, chlorophyll-a content, or pigment concentration) where available. The dataset further documents the observed biological impact, phytoplankton taxonomic identity, and full bibliographic references to the original studies. All values are reported as published in the source literature, including associated uncertainties, to preserve comparability and transparency.

This dataset is intended to support meta-analyses, environmental risk assessments, and studies on trace metal toxicity and biogeochemical cycling in marine ecosystems.
DOI: 10.5281/zenodo.18346943
title: Overview of Literature on Potential Effect of Cu, Cd, Zn, Mn, Fe and Pb on Marine Phytoplankton

description: This dataset compiles previously published literature reporting threshold concentrations and toxicological responses of marine phytoplankton to dissolved trace metals. The dataset focuses on copper (Cu), cadmium (Cd), zinc (Zn), manganese (Mn), iron (Fe), and lead (Pb), and includes both field-based and laboratory-based experimental studies.

For each study, the dataset records the geographic location of phytoplankton collection, the experimental setting (in-situ, on-board, or on-land laboratory experiments), the growth medium used (where applicable), the dissolved trace metal investigated, and the chemical form in which the metal was added. Reported threshold concentrations (nM) include LC50 or IC50 values, along with exposure duration and response variables (e.g., growth rate, cell density, chlorophyll-a content, or pigment concentration) where available. The dataset further documents the observed biological impact, phytoplankton taxonomic identity, and full bibliographic references to the original studies. All values are reported as published in the source literature, including associated uncertainties, to preserve comparability and transparency.

This dataset is intended to support meta-analyses, environmental risk assessments, and studies on trace metal toxicity and biogeochemical cycling in marine ecosystems.
DOI: 10.15468/dl.cfc22a
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papaver lapeyrousianum"
 ]
}

 The dataset includes 219 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006683-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.