cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.avz4jd
title: Occurrence Download

description: A dataset containing 1146 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 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.basisofrecord = 'PRESERVED_SPECIMEN'
 AND occurrence.countrycode = 'ID'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 9574503 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 9574503 OR CAST(occurrence.kingdomkey AS INTEGER) = 9574503 OR CAST(occurrence.phylumkey AS INTEGER) = 9574503 OR CAST(occurrence.classkey AS INTEGER) = 9574503 OR CAST(occurrence.orderkey AS INTEGER) = 9574503 OR CAST(occurrence.familykey AS INTEGER) = 9574503 OR CAST(occurrence.genuskey AS INTEGER) = 9574503 OR CAST(occurrence.specieskey AS INTEGER) = 9574503)
 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 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 1146 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003229-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpwjsp
title: Occurrence Download

description: A dataset containing 1700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Switzerland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ixobrychus minutus, Tichodroma muraria)",
 "Year 1980-2025"
 ]
}

 The dataset includes 1700 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003231-251120083545085/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.30685229
title: Data repository: Survival of thermostable Φ6 genotypes in acidic, basic, and UV environments

description: Raw data and R scripts associated with the revised version of the paper "Survival of Thermostable Φ6 Genotypes in Acidic, Basic, and UV Environments."
DOI: 10.6084/m9.figshare.30685229.v1
title: Data repository: Survival of thermostable Φ6 genotypes in acidic, basic, and UV environments

description: Raw data and R scripts associated with the revised version of the paper "Survival of Thermostable Φ6 Genotypes in Acidic, Basic, and UV Environments."
DOI: 10.15468/dl.qfe9b8
title: Occurrence Download

description: A dataset containing 64382 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocheir sinensis"
 ]
}

 The dataset includes 64382 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17678721
title: Raw data for "One-defect one-potential strategy for accurate machine learning prediction of phonons in defect-containing supercells"

description: There are four sets of data, each containing training sets (rattled structures of carbon impurity in GaN supercell), input file of Allegro, and predicted phonon properties (qpoints.yaml).
DOI: 10.5281/zenodo.17678722
title: Raw data for "One-defect one-potential strategy for accurate machine learning prediction of phonons in defect-containing supercells"

description: There are four sets of data, each containing training sets (rattled structures of carbon impurity in GaN supercell), input file of Allegro, and predicted phonon properties (qpoints.yaml).
DOI: 10.5281/zenodo.17678744
title: From Phase Differences to Spacetime: A First-Principles Derivation in G-MaTT

description: Abstract

We derive the origin of spacetime from first principles in Generalized Mass as Twisted Time (G-MaTT). Starting with a set of phase differences $\Delta\phi_{kl} = \phi_k - \phi_l$, we construct the Gelfand spectrum $\chi = \text{Spec}(\mathcal{A})$ — the configuration space of all possible phase histories. We then define a spectral triple $(\mathcal{A}, \mathcal{H}, D)$, where $D = \slashed{\nabla}_\chi \times \mathcal{M}$ encodes the geometry of the primordial mass-time torsional potential $\mathcal{M}_\mu$. Finally, we show that spacetime emerges via spontaneous symmetry breaking $U(1) \times SU(2) \to SO(3,1)$ — the minimal stable representation of the symmetry group after initiation. This process generates 3+1 dimensions, time, and mass — all from phase relations. No extra dimensions, no strings, no fine-tuning — just phase, algebra, and topology.
DOI: 10.5281/zenodo.17678745
title: From Phase Differences to Spacetime: A First-Principles Derivation in G-MaTT

description: Abstract

We derive the origin of spacetime from first principles in Generalized Mass as Twisted Time (G-MaTT). Starting with a set of phase differences $\Delta\phi_{kl} = \phi_k - \phi_l$, we construct the Gelfand spectrum $\chi = \text{Spec}(\mathcal{A})$ — the configuration space of all possible phase histories. We then define a spectral triple $(\mathcal{A}, \mathcal{H}, D)$, where $D = \slashed{\nabla}_\chi \times \mathcal{M}$ encodes the geometry of the primordial mass-time torsional potential $\mathcal{M}_\mu$. Finally, we show that spacetime emerges via spontaneous symmetry breaking $U(1) \times SU(2) \to SO(3,1)$ — the minimal stable representation of the symmetry group after initiation. This process generates 3+1 dimensions, time, and mass — all from phase relations. No extra dimensions, no strings, no fine-tuning — just phase, algebra, and topology.
DOI: 10.15468/dl.ytb3dq
title: Occurrence Download

description: A dataset containing 5059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heracleum persicum"
 ]
}

 The dataset includes 5059 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003234-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egtnjt
title: Occurrence Download

description: A dataset containing 30852 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heracleum sosnowskyi"
 ]
}

 The dataset includes 30852 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003235-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ntgj9
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platanista"
 ]
}

 The dataset includes 367 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003236-251120083545085/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/13824978
title: EchoNet-Dynamic by Stanford University
DOI: 10.15468/dl.jyme6g
title: Occurrence Download

description: A dataset containing 14191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herpestes javanicus"
 ]
}

 The dataset includes 14191 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003237-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq5yek
title: Occurrence Download

description: A dataset containing 831 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 = 'ID'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 9574503 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 9574503 OR CAST(occurrence.kingdomkey AS INTEGER) = 9574503 OR CAST(occurrence.phylumkey AS INTEGER) = 9574503 OR CAST(occurrence.classkey AS INTEGER) = 9574503 OR CAST(occurrence.orderkey AS INTEGER) = 9574503 OR CAST(occurrence.familykey AS INTEGER) = 9574503 OR CAST(occurrence.genuskey AS INTEGER) = 9574503 OR CAST(occurrence.specieskey AS INTEGER) = 9574503)
 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.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 831 records were derived from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003233-251120083545085/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.30562508.v3
title: Data and python code used in the paper: Governance boundaries restructure climate-biosphere coupling through ecological zoning (under review)

description: Data and python code used to write the paper: Ecological zoning amplifies climate-biosphere coupling through governance-mediated productivity regulation (under review)
DOI: 10.15468/dl.uscr3h
title: Occurrence Download

description: A dataset containing 66425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampides boeticus"
 ]
}

 The dataset includes 66425 records from 1211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003225-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15544436
title: 2013- London -L1 #2

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: 

Data Levels: L1 partial #2
DOI: 10.5281/zenodo.15544437
title: 2013- London -L1 #2

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: 

Data Levels: L1 partial #2
DOI: 10.5281/zenodo.15544409
title: 2013 - London - L1 #1

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: multiple 

Data Levels: L1 #1
DOI: 10.5281/zenodo.15544410
title: 2013 - London - L1 #1

description: University of Reading Grimmond Urban Micromet Group

City: London

Year: 2013

Sites: multiple 

Data Levels: L1 #1
DOI: 10.15468/dl.e7ffjn
title: Occurrence Download

description: A dataset containing 20104 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "GadmGid is one of (COL.30.31_2)"
 ]
}

 The dataset includes 20104 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029696-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15547274
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15547275
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529q Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529q Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.17632/szrn5srhyw.1
title: CCS

description: Data for the paper "Bimodal peptide collision cross section distribution reflects two stable conformations in the gas phase"
DOI: 10.17632/4mgr8b4syt.1
title: Python and R Scripts for Advanced biofuels research: A Scopus database-driven bibliometric evaluation and future directions forecast via machine learning and deep learning

description: Renewable energy is a research hotspot in the present day to promote sustainability. Biofuel, an alternative to conventional fossil fuels, can contribute to environmental sustainability through being a renewable energy source and having a zero carbon footprint. However, traditional biofuels are generated from edible biomass, which raises questions about the use of traditional biofuels in the long run due to global food scarcity. Advanced biofuels are now being developed from non-edible biomass and waste sources, which are expected to be a colossal renewable energy source. This study conducted a complete bibliometric analysis to get an overview of research progress on advanced biofuels. A bibliographic dataset has been collected from the Scopus database. The dataset has been investigated based on articles, authors, journals, institutions, and countries to get a complete overview of current research trends on advanced biofuels. Burst keywords have also been analyzed to identify the research hotspots. In addition to bibliometric analysis, machine learning and deep learning analyses have been carried out to determine the homogeneity of the dataset and predict the research evolution forecast. This study will uncover the current research trend on advanced biofuels, identify the research gaps, and predict future research direction, guiding future researchers working on this topic.
DOI: 10.15468/dl.quhdh3
title: Occurrence Download

description: A dataset containing 63318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fagopyrum Mill."
 ]
}

 The dataset includes 63318 records from 651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003869-250426092105405/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.28887686
title: Fiber tractography of multifidus muscle in lumbar region from one adolescent idiopathic scoliosis patients

description: This is a fiber tractography of multifidus muscle in lumbar region from one adolescent idiopathic scoliosis patients.
DOI: 10.5281/zenodo.18324840
title: Data for a publication - Analytical Evaluation of Hull-Design Parameters Affecting Ship Controllability and Dynamic Behaviour with Integrated Electric–Propulsion Systems

description: This study presents an analytical methodology for evaluating the influence of hull design parameters on the controllability and manoeuvrability of ships equipped with integrated electric propulsion systems. Unlike traditional approaches that examine the hull and propulsion plant independently, the proposed method employs a generalized model of transient modes within the propulsion complex, enabling the coupled interaction among the hull, propulsion units, electric motors, and the electrical power system to be captured during manoeuvring. Active experimental design and regression modelling are applied to construct controllability diagrams, identify the most influential dimensionless parameters, and reduce computational effort. The methodology is used to assess the effect of hull elongation (0.08–0.16 L) with curvature variation limited to 6%. The results show that this degree of elongation has minimal impact on turning performance and course-keeping stability, confirming the feasibility of such design modifications. The proposed approach provides an effective tool for early-stage design and modernization of electric ships and supports decision-making in ship behaviour prediction and traffic management.
DOI: 10.5281/zenodo.18324839
title: Data for a publication - Analytical Evaluation of Hull-Design Parameters Affecting Ship Controllability and Dynamic Behaviour with Integrated Electric–Propulsion Systems

description: This study presents an analytical methodology for evaluating the influence of hull design parameters on the controllability and manoeuvrability of ships equipped with integrated electric propulsion systems. Unlike traditional approaches that examine the hull and propulsion plant independently, the proposed method employs a generalized model of transient modes within the propulsion complex, enabling the coupled interaction among the hull, propulsion units, electric motors, and the electrical power system to be captured during manoeuvring. Active experimental design and regression modelling are applied to construct controllability diagrams, identify the most influential dimensionless parameters, and reduce computational effort. The methodology is used to assess the effect of hull elongation (0.08–0.16 L) with curvature variation limited to 6%. The results show that this degree of elongation has minimal impact on turning performance and course-keeping stability, confirming the feasibility of such design modifications. The proposed approach provides an effective tool for early-stage design and modernization of electric ships and supports decision-making in ship behaviour prediction and traffic management.
DOI: 10.6084/m9.figshare.29828634
title: MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica

description: Antarctic ecosystems are among the most vulnerable to climate change, which is increasing the frequency and intensity of extreme climate events. In the McMurdo Dry Valleys (MDVs), three decades of high-resolution meteorological monitoring offer a rare opportunity to characterize climate baselines and detect anomalous conditions that may signal extreme events capable of triggering hydrological and ecological responses. However, identifying and assessing such anomalies from long-term records can be challenging without appropriate visualization tools and analytical frameworks. Here, we introduce MDV ClimEx, an open-source, interactive web application designed for user-driven exploration of long-term meteorological records from the MDVs. Specifically, this tool enables users to examine common meteorological variables at specific locations across multiple timescales to identify potential anomalies, combining dynamic visualizations with built-in functionality that quantifies the magnitude of user-identified anomalies as the number of standard deviations (σ) from the historical average. Through three use cases involving both known and previously unreported air temperature anomalies in Taylor Valley, we demonstrate how MDV ClimEx serves as a valuable resource for researchers, educators, and the public to identify anomalies and support investigations of climate-driven hydrological and ecological changes in this polar desert ecosystem.
DOI: 10.6084/m9.figshare.29828634.v1
title: MDV ClimEx: An open-source tool for exploring climate anomalies in the McMurdo Dry Valleys of Antarctica

description: Antarctic ecosystems are among the most vulnerable to climate change, which is increasing the frequency and intensity of extreme climate events. In the McMurdo Dry Valleys (MDVs), three decades of high-resolution meteorological monitoring offer a rare opportunity to characterize climate baselines and detect anomalous conditions that may signal extreme events capable of triggering hydrological and ecological responses. However, identifying and assessing such anomalies from long-term records can be challenging without appropriate visualization tools and analytical frameworks. Here, we introduce MDV ClimEx, an open-source, interactive web application designed for user-driven exploration of long-term meteorological records from the MDVs. Specifically, this tool enables users to examine common meteorological variables at specific locations across multiple timescales to identify potential anomalies, combining dynamic visualizations with built-in functionality that quantifies the magnitude of user-identified anomalies as the number of standard deviations (σ) from the historical average. Through three use cases involving both known and previously unreported air temperature anomalies in Taylor Valley, we demonstrate how MDV ClimEx serves as a valuable resource for researchers, educators, and the public to identify anomalies and support investigations of climate-driven hydrological and ecological changes in this polar desert ecosystem.