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

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Cirsium eriophoroides"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009483-251025141854904/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/13566063
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.17491514
title: A math

description: We certify a dimensionless spectral constant g arising from a self–

adjoint anisotropic Laplace–Beltrami operator on a three–torus with golden–

ratio anisotropy, using rational–interval arithmetic and explicit tail bounds.

The constant is enclosed to forty digits with a provably valid rational in-

terval and a cryptographic reproduction hash.

We then state a single physics identification postulate: upon normal-

ising the length scale by one low–energy atomic transition (measured to

∼12 digits), the same dimensionless constant coincides numerically with

the inverse fine–structure constant α−1 to all digits currently measured.

No claim is made that this constitutes a pure–mathematical proof

of α. Instead, this work certifies a spectral invariant and isolates its

physical identification as an explicit assumption. We also enumerate open

assumptions regarding scheme–independence beyond 12 digits and the

absence of hidden tuning.

This manuscript provides (i) rigorous convergence and uniqueness re-

sults, (ii) a certified rational interval for g accurate to 10−40, (iii) a proof

of regulator equality (heat–kernel vs. zeta), and (iv) a numerical appendix

including SHA-256 hashes for reproducibility.
DOI: 10.5281/zenodo.17491513
title: A math

description: We certify a dimensionless spectral constant g arising from a self–

adjoint anisotropic Laplace–Beltrami operator on a three–torus with golden–

ratio anisotropy, using rational–interval arithmetic and explicit tail bounds.

The constant is enclosed to forty digits with a provably valid rational in-

terval and a cryptographic reproduction hash.

We then state a single physics identification postulate: upon normal-

ising the length scale by one low–energy atomic transition (measured to

∼12 digits), the same dimensionless constant coincides numerically with

the inverse fine–structure constant α−1 to all digits currently measured.

No claim is made that this constitutes a pure–mathematical proof

of α. Instead, this work certifies a spectral invariant and isolates its

physical identification as an explicit assumption. We also enumerate open

assumptions regarding scheme–independence beyond 12 digits and the

absence of hidden tuning.

This manuscript provides (i) rigorous convergence and uniqueness re-

sults, (ii) a certified rational interval for g accurate to 10−40, (iii) a proof

of regulator equality (heat–kernel vs. zeta), and (iv) a numerical appendix

including SHA-256 hashes for reproducibility.
DOI: 10.5281/zenodo.15307239
title: Spatial Patterns of Sandy Beaches in China and Risk Analysis of Human Infrastructure Squeeze Based on Multi-Source Data and Ensemble Learning

description: Sandy beaches provide essential ecological and economic services, but their functions are increasingly threatened by human activities. Analyzing the spatial distribution of China's sandy beaches and the impacts of human activities offers valuable insights for coastal resource management and ecological protection. However, remote sensing technologies face challenges such as limited data sources and tidal influences, which affect recognition accuracy. Therefore, integrating multi-source remote sensing data and reducing the impact of tidal fluctuations to improve recognition accuracy remains a key challenge. This study proposes an innovative approach utilizing multi-source data and an ensemble learning model to identify sandy beaches in China (2016–2024). By integrating Sentinel-1/2 satellite data, terrain data, and nighttime light data, along with spectral, index, terrain, texture, and polarization features, sandy beaches were identified across multiple years, and the results were consolidated into a single-year dataset to analyze spatial patterns and risks from human infrastructure squeeze. (1) High-precision classification identified 3347 sandy beaches in China, covering a total area of 320.50 km². Guangdong had the largest number, area, and perimeter, while Hebei had the widest sandy beaches. (2) In Fujian, Guangdong, and Taiwan, the identified sandy beaches covered 180.05 km², with perimeters of 5610.26 km and widths of 54.91 m, 38.92 m, and 57.17 m, respectively. These results were significantly better than those from published datasets. (3) From 1990 to 2024, the area at risk from human infrastructure squeeze increased from 134.39 km² to 181.42 km², a rise of 47.03 km², with the most significant increase occurring between 1995 and 2000. Guangdong and Fujian showed growth rates of 0.38 km²/year and 0.32 km²/year, respectively. This study provides an up-to-date dataset on China's sandy beaches. It assesses their spatial patterns and human impact risks, contributing to research and policy for the sustainable development of coastal zones.
DOI: 10.5281/zenodo.17490755
title: Spatial Patterns of Sandy Beaches in China and Risk Analysis of Human Infrastructure Squeeze Based on Multi-Source Data and Ensemble Learning

description: Sandy beaches provide essential ecological and economic services, but their functions are increasingly threatened by human activities. Analyzing the spatial distribution of China's sandy beaches and the impacts of human activities offers valuable insights for coastal resource management and ecological protection. However, remote sensing technologies face challenges such as limited data sources and tidal influences, which affect recognition accuracy. Therefore, integrating multi-source remote sensing data and reducing the impact of tidal fluctuations to improve recognition accuracy remains a key challenge. This study proposes an innovative approach utilizing multi-source data and an ensemble learning model to identify sandy beaches in China (2016–2024). By integrating Sentinel-1/2 satellite data, terrain data, and nighttime light data, along with spectral, index, terrain, texture, and polarization features, sandy beaches were identified across multiple years, and the results were consolidated into a single-year dataset to analyze spatial patterns and risks from human infrastructure squeeze. (1) High-precision classification identified 3347 sandy beaches in China, covering a total area of 320.50 km². Guangdong had the largest number, area, and perimeter, while Hebei had the widest sandy beaches. (2) In Fujian, Guangdong, and Taiwan, the identified sandy beaches covered 180.05 km², with perimeters of 5610.26 km and widths of 54.91 m, 38.92 m, and 57.17 m, respectively. These results were significantly better than those from published datasets. (3) From 1990 to 2024, the area at risk from human infrastructure squeeze increased from 134.39 km² to 181.42 km², a rise of 47.03 km², with the most significant increase occurring between 1995 and 2000. Guangdong and Fujian showed growth rates of 0.38 km²/year and 0.32 km²/year, respectively. This study provides an up-to-date dataset on China's sandy beaches. It assesses their spatial patterns and human impact risks, contributing to research and policy for the sustainable development of coastal zones.
DOI: 10.5281/zenodo.17491477
title: Scopus Bibliometric Dataset: E-Learning Adoption in Indonesia (2020–2025)

description: This dataset contains bibliographic records exported from the Scopus database related to e-learning adoption in Indonesia during the period 2020–2025. The dataset includes authorship information, titles, abstracts, keywords, affiliations, publication metadata, and unique identifiers such as DOI and EID. 

Inclusion criteria:1) Publication year: 2020–20252) Document type: Journal articles (final publication stage)3) Language: English4) Open Access availability5) Search scope: Title, Abstract, and Keywords

Files included:- dataset_scopus_elearning_2020_2025_raw.csv (original Scopus export; semicolon-delimited)- dataset_scopus_elearning_2020_2025_semicolon.csv (normalized version; semicolon-delimited)- README_Zenodo.md (dataset documentation)

License: Creative Commons Attribution 4.0 International (CC-BY 4.0)

Data collected by Achmad Afrian under the supervision of Danang Prihandoko, BINUS University.
DOI: 10.5281/zenodo.17491478
title: Scopus Bibliometric Dataset: E-Learning Adoption in Indonesia (2020–2025)

description: This dataset contains bibliographic records exported from the Scopus database related to e-learning adoption in Indonesia during the period 2020–2025. The dataset includes authorship information, titles, abstracts, keywords, affiliations, publication metadata, and unique identifiers such as DOI and EID. 

Inclusion criteria:1) Publication year: 2020–20252) Document type: Journal articles (final publication stage)3) Language: English4) Open Access availability5) Search scope: Title, Abstract, and Keywords

Files included:- dataset_scopus_elearning_2020_2025_raw.csv (original Scopus export; semicolon-delimited)- dataset_scopus_elearning_2020_2025_semicolon.csv (normalized version; semicolon-delimited)- README_Zenodo.md (dataset documentation)

License: Creative Commons Attribution 4.0 International (CC-BY 4.0)

Data collected by Achmad Afrian under the supervision of Danang Prihandoko, BINUS University.
DOI: 10.15468/dl.44rfhw
title: Occurrence Download

description: A dataset containing 2680 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus armandii"
 ]
}

 The dataset includes 2680 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009484-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17491460
title: β2E153 residue at Loop B of GABAAR is involved in agonist stabilization and gating properties.
DOI: 10.5281/zenodo.17491461
title: β2E153 residue at Loop B of GABAAR is involved in agonist stabilization and gating properties.
DOI: 10.15468/dl.fh5uy9
title: Occurrence Download

description: A dataset containing 46404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer pictum, Betula platyphylla, Juglans mandshurica, Populus davidiana, Fraxinus mandshurica, Quercus mongolica, Ulmus davidiana, Castanopsis fissa, Machilus chinensis, Schima superba, Triadica cochinchinensis, Cryptocarya chinensis, Gironniera subaequalis, Psychotria asiatica, Pterospermum heterophyllum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "OccurrenceStatus is Present",
 "EventDate is greater than or equal to 1991-01-01",
 "EventDate is less than or equal to 2025-10-31",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 46404 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009481-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id350322.1
title: StrainInfo SI-ID 350322.1

description: StrainInfo dataset 350322 about a strain of Naegleria lovaniensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350323.1
title: StrainInfo SI-ID 350323.1

description: StrainInfo dataset 350323 about a strain of Crypthecodinium cohnii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350324.1
title: StrainInfo SI-ID 350324.1

description: StrainInfo dataset 350324 about a strain of Monocercomonas colubrorum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350146.1
title: StrainInfo SI-ID 350146.1

description: StrainInfo dataset 350146 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350147.1
title: StrainInfo SI-ID 350147.1

description: StrainInfo dataset 350147 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350148.1
title: StrainInfo SI-ID 350148.1

description: StrainInfo dataset 350148 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350234.1
title: StrainInfo SI-ID 350234.1

description: StrainInfo dataset 350234 about a strain of Tetrahymena pyriformis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350235.1
title: StrainInfo SI-ID 350235.1

description: StrainInfo dataset 350235 about a strain of Tetrahymena furgasoni. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.dibpkp
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus nigricollis F.Cuvier, 1823"
 ]
}

 The dataset includes 167 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007137-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id350236.1
title: StrainInfo SI-ID 350236.1

description: StrainInfo dataset 350236 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350325.1
title: StrainInfo SI-ID 350325.1

description: StrainInfo dataset 350325 about a strain of Monocercomonas colubrorum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350326.1
title: StrainInfo SI-ID 350326.1

description: StrainInfo dataset 350326 about a strain of Trichomonas gallinae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350327.1
title: StrainInfo SI-ID 350327.1

description: StrainInfo dataset 350327 about a strain of Trichomonas gallinae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350328.1
title: StrainInfo SI-ID 350328.1

description: StrainInfo dataset 350328 about a strain of Trichomonas gallinae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350149.1
title: StrainInfo SI-ID 350149.1

description: StrainInfo dataset 350149 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.kh60m6
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crenuchus spilurus Günther, 1863",
 {
 "or" : [
 "Country is Brazil",
 "Country is Guyana",
 "Country is Peru",
 "Country is Colombia",
 "Country is Bolivia (Plurinational State of)",
 "Country is Ecuador",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Suriname"
 ]
 }
 ]
}

 The dataset includes 675 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003488-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id350150.1
title: StrainInfo SI-ID 350150.1

description: StrainInfo dataset 350150 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350151.1
title: StrainInfo SI-ID 350151.1

description: StrainInfo dataset 350151 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.j3v2cm
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kalolophus speciosus (A.Adams, 1854))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 519 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085986-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id350152.1
title: StrainInfo SI-ID 350152.1

description: StrainInfo dataset 350152 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350237.1
title: StrainInfo SI-ID 350237.1

description: StrainInfo dataset 350237 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350238.1
title: StrainInfo SI-ID 350238.1

description: StrainInfo dataset 350238 about a strain of Acanthamoeba castellanii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350239.1
title: StrainInfo SI-ID 350239.1

description: StrainInfo dataset 350239 about a strain of Leishmania tropica. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350240.1
title: StrainInfo SI-ID 350240.1

description: StrainInfo dataset 350240 about a strain of Trypanosoma cruzi. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350329.1
title: StrainInfo SI-ID 350329.1

description: StrainInfo dataset 350329 about a strain of Trichomonas gallinae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350330.1
title: StrainInfo SI-ID 350330.1

description: StrainInfo dataset 350330 about a strain of Tritrichomonas foetus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350331.1
title: StrainInfo SI-ID 350331.1

description: StrainInfo dataset 350331 about a strain of Tritrichomonas foetus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350153.1
title: StrainInfo SI-ID 350153.1

description: StrainInfo dataset 350153 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350332.1
title: StrainInfo SI-ID 350332.1

description: StrainInfo dataset 350332 about a strain of Tritrichomonas foetus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.vhnnq9
title: Occurrence Download

description: A dataset containing 94710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linum catharticum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 94710 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008878-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id350154.1
title: StrainInfo SI-ID 350154.1

description: StrainInfo dataset 350154 about a strain of Tetrahymena thermophila. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id350155.1
title: StrainInfo SI-ID 350155.1

description: StrainInfo dataset 350155 about a strain of Prototheca wickerhamii. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.