cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc3clvw
title: CCDC 100528: Experimental Crystal Structure Determination

description: Related Article: K.Schellhaas, H.-G.Schmalz, J.W.Bats|1998|Chem.-Eur.J.|4|57|doi:10.1002/(SICI)1521-3765(199801)4:1<57::AID-CHEM57>3.0.CO;2-H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3cr8g
title: CCDC 100665: Experimental Crystal Structure Determination

description: Related Article: B.F.Hoskins, R.Robson, D.A.Slizys|1997|Angew.Chem.,Int.Ed.|36|2752|doi:10.1002/anie.199727521
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.a7nbbb
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robinsonecio gerberifolius"
 ]
}

 The dataset includes 243 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032719-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28cuuc
title: Occurrence Download

description: A dataset containing 740088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Regulus ignicapilla)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 740088 records from 3202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032692-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598210
title: Assessing Factors Driving Blockchain Technology in the Performance of the Banking Sector Using the Structural Equation Modelling Approach
DOI: 10.5281/zenodo.18598209
title: Assessing Factors Driving Blockchain Technology in the Performance of the Banking Sector Using the Structural Equation Modelling Approach
DOI: 10.15468/dl.m9f5cj
title: Occurrence Download

description: A dataset containing 54443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus melas",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 54443 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005722-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.698b38e0495a3
title: Dürer-Hausaltärchen, 194600
DOI: 10.15468/dl.4wetrv
title: Occurrence Download

description: A dataset containing 21792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urena lobata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 21792 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005761-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/datapb/ql6vgj
title: Coleção Ictiológica da Universidade Federal da Paraíba - CIUFPB

description: O banco de dados se refere à Coleção Ictiológica da Universidade Federal da Paraíba (CIUFPB), o qual compreende mais de 6.000 lotes de espécies de peixes ósseos e cartilaginosos da Paraíba, de ambientes marinhos, estuarinos e dulcícolas. Os dados informam a distribuição geográfica das diferentes espécies de peixes, tanto como outras informações associadas a cada lote, como por exemplo, coletor, data de coleta, nome dos determinadores que identificam as espécies, entre outras.
DOI: 10.48544/18451e60-e621-4885-86c7-2b765322c251
title:  To Tune and Be Tuned
DOI: 10.15468/dl.hebasx
title: Occurrence Download

description: A dataset containing 9183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sturnus vulgaris)",
 "Geometry POLYGON((55.000000 4.000000, 157.000000 4.000000, 157.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (April, May, June)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 5000"
 ]
 },
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Specimen)"
 ]
}

 The dataset includes 9183 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005762-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15593174
title: Aqueous Polyamine-based Deep Eutectic Solvent: Balancing Stability, CO2 Absorption/Desorption Performance, and Post-Absorption Viscosity

description: All relevant data presented in the published article are provided above, including characterization data, physical property data (such as viscosity, density, and viscosity variation before and after CO2 absorption), and absorption data (including the effect of molar ratio, DES content on absorption and desorption performance, and the effect of temperature on absorption performance).
DOI: 10.5281/zenodo.15593175
title: Aqueous Polyamine-based Deep Eutectic Solvent: Balancing Stability, CO2 Absorption/Desorption Performance, and Post-Absorption Viscosity

description: All relevant data presented in the published article are provided above, including characterization data, physical property data (such as viscosity, density, and viscosity variation before and after CO2 absorption), and absorption data (including the effect of molar ratio, DES content on absorption and desorption performance, and the effect of temperature on absorption performance).
DOI: 10.15468/dl.8eyuxz
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus saturejoides"
 ]
}

 The dataset includes 278 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005763-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7muz8z
title: Occurrence Download

description: A dataset containing 1940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hymenoscyphus fraxineus",
 "Year 1990-2026"
 ]
}

 The dataset includes 1940 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005764-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dbctl.v54
title: Spiky pygmy devils: revision of the genus Discotettix (Orthoptera: Tetrigidae) and synonymy of Discotettiginae with Scelimeninae
DOI: 10.15468/dl.qtvr3k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monotocheirodon kontos",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005765-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj5ck2
title: Occurrence Download

description: A dataset containing 2195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castanospermum australe",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 2195 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005766-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyshfj
title: Occurrence Download

description: A dataset containing 24274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriocheir sinensis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 24274 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005768-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag2e65
title: Occurrence Download

description: A dataset containing 419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procambarus virginalis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-25 35, 50 35, 50 75, -25 75, -25 35))"
 ]
}

 The dataset includes 419 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005770-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as6fcu
title: Occurrence Download

description: A dataset containing 3210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trachurus japonicus"
 ]
}

 The dataset includes 3210 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005769-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rg4pu8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cheracebus purinus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005772-260208012135463/datasets/export for details.
DOI: 10.48597/gf4g-tpb6
title: Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/8cj9-wn46
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/f4aq-anss
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/c5aq-jujd
title: Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/prap-mamx
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/mbrg-sc6d
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/ptmv-upga
title: Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/mgvm-eq86
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.48597/qrvk-w6ey
title: Measurement of Aerosol_absorption_coefficient at Hyytiälä

description: Measurement of Aerosol_absorption_coefficient at Hyytiälä
DOI: 10.6084/m9.figshare.31306005.v1
title: Multiple Change Point Detection in Time Series with Non-stationary Dynamics

description: Change point detection (CPD) identifies points within data sequences where statistical properties undergo significant changes, playing a vital role in domains such as finance, climate science, and quality control. Traditional CPD algorithms often assume piecewise stationarity, where model parameters remain constant between consecutive change points. However, this assumption is frequently violated in real-world data, which commonly exhibit continuous non-stationary dynamics. Such dynamics can obscure abrupt changes or lead to false detections, complicating the detection process. To address these challenges, we propose a model-based CPD algorithm capable of handling non-stationary dynamics while accounting for temporal and cross-correlations. The model decomposes time series into two components: a random walk to represent non-stationary dynamics and a vector autoregressive process to capture temporal and cross-correlations. Change points are identified by measuring error reduction within a moving window when abrupt changes are introduced into selected components of the time series. Key features of the algorithm include its flexibility to incorporate a broad range of component selection procedures that satisfy the sure screening property and parameter estimation techniques under mild conditions. The consistency of the change point estimator, including the number and locations of change points, is established for general choices. A specific implementation that employs l1-regularization for component selection and introduces a novel procedure for parameter estimation is proposed. This algorithm iteratively estimates model parameters, non-stationary dynamics, and multiple change point locations simultaneously. The algorithm’s effectiveness is demonstrated through applications to both simulated and real-world data. For instance, in images from the steel rolling process, the algorithm identifies surface defects amid gradual background variations. Similarly, in solar surface data, it detects solar flares against dynamic backgrounds. These applications highlight the algorithm’s robustness and versatility across diverse scenarios.
DOI: 10.6084/m9.figshare.31306005
title: Multiple Change Point Detection in Time Series with Non-stationary Dynamics

description: Change point detection (CPD) identifies points within data sequences where statistical properties undergo significant changes, playing a vital role in domains such as finance, climate science, and quality control. Traditional CPD algorithms often assume piecewise stationarity, where model parameters remain constant between consecutive change points. However, this assumption is frequently violated in real-world data, which commonly exhibit continuous non-stationary dynamics. Such dynamics can obscure abrupt changes or lead to false detections, complicating the detection process. To address these challenges, we propose a model-based CPD algorithm capable of handling non-stationary dynamics while accounting for temporal and cross-correlations. The model decomposes time series into two components: a random walk to represent non-stationary dynamics and a vector autoregressive process to capture temporal and cross-correlations. Change points are identified by measuring error reduction within a moving window when abrupt changes are introduced into selected components of the time series. Key features of the algorithm include its flexibility to incorporate a broad range of component selection procedures that satisfy the sure screening property and parameter estimation techniques under mild conditions. The consistency of the change point estimator, including the number and locations of change points, is established for general choices. A specific implementation that employs l1-regularization for component selection and introduces a novel procedure for parameter estimation is proposed. This algorithm iteratively estimates model parameters, non-stationary dynamics, and multiple change point locations simultaneously. The algorithm’s effectiveness is demonstrated through applications to both simulated and real-world data. For instance, in images from the steel rolling process, the algorithm identifies surface defects amid gradual background variations. Similarly, in solar surface data, it detects solar flares against dynamic backgrounds. These applications highlight the algorithm’s robustness and versatility across diverse scenarios.
DOI: 10.5281/zenodo.8150176
title: Creep and Shrinkage Database of Laboratory Data

description: Creep and shrinkage database of laboratory tests, covering mostly concrete and also mortars and pastes. The database was revamped from Northwestern University database and RILEM database, originating back to 1978. Published in MySQL and xlsx formats with a brief manual.
DOI: 10.5281/zenodo.8150177
title: Creep and Shrinkage Database of Laboratory Data

description: Creep and shrinkage database of laboratory tests, covering mostly concrete and also mortars and pastes. The database was revamped from Northwestern University database and RILEM database, originating back to 1978. Published in MySQL and xlsx formats with a brief manual.
DOI: 10.48580/dgwmh.v2
title: A new perennial species of Gomphrena (Amaranthaceae) from Mexico with nomenclatural notes on G. decumbens
DOI: 10.5281/zenodo.18598227
title: Meu SUS Digital - Posts

description: This dataset is provided for anonymous peer review.
DOI: 10.5281/zenodo.18598228
title: Meu SUS Digital - Posts

description: This dataset is provided for anonymous peer review.
DOI: 10.48544/7c01a000-58b6-486e-89af-153f9d53630e
title:  New Musitopoi: From Autonomy to Heteronomy
DOI: 10.15468/dl.hzv8zr
title: Occurrence Download

description: A dataset containing 41648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, Portugal)",
 "Geometry POLYGON((-9.86088 35.95167,2.0015 35.95167,2.0015 44.39003,-9.86088 44.39003,-9.86088 35.95167))",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Otis tarda",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 41648 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005773-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgb8yq
title: Occurrence Download

description: A dataset containing 20176 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Seabirds in Norway - Estimated population sizes (SEAPOP)"
 ]
}

 The dataset includes 20176 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005774-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv5jme
title: Occurrence Download

description: A dataset containing 8329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitex negundo",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 8329 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005776-260208012135463/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.29205518
title: <b>Supplementary material for "</b><b>Modified nonlocal strain gradient framework and ANN surrogate for size-dependent buckling of functionally graded nanoplates on Pasternak foundations</b><b>"</b>

description: This study develops an analytical framework to investigate the buckling response of functionally graded nanoplates resting on Pasternak-type foundations. The formulation is constructed within a modified nonlocal strain gradient theory, allowing the simultaneous consideration of nonlocal stress softening and strain gradient stiffening effects. To represent the kinematics, a higher-order shear deformation model is adopted, and the governing equations are obtained from the principle of minimal potential energy and solved in closed form for simply supported boundaries. Since repeated analytical evaluations are costly, a neural-network surrogate is trained from solutions created by the analytical formulation, enabling rapid prediction of critical buckling loads across a wide parameter range. The impacts of the nonlocal coefficient, intrinsic material length, gradation profile, geometric ratios, and foundation stiffness are examined through a detailed parametric study. The outcomes demonstrate the consistency of the theoretical model and illustrate how a physics-based formulation, when combined with data-driven approximation, can support efficient analysis and design of nanoscale graded structures.
DOI: 10.6084/m9.figshare.29205518.v2
title: <b>Supplementary material for "</b><b>Modified nonlocal strain gradient framework and ANN surrogate for size-dependent buckling of functionally graded nanoplates on Pasternak foundations</b><b>"</b>

description: This study develops an analytical framework to investigate the buckling response of functionally graded nanoplates resting on Pasternak-type foundations. The formulation is constructed within a modified nonlocal strain gradient theory, allowing the simultaneous consideration of nonlocal stress softening and strain gradient stiffening effects. To represent the kinematics, a higher-order shear deformation model is adopted, and the governing equations are obtained from the principle of minimal potential energy and solved in closed form for simply supported boundaries. Since repeated analytical evaluations are costly, a neural-network surrogate is trained from solutions created by the analytical formulation, enabling rapid prediction of critical buckling loads across a wide parameter range. The impacts of the nonlocal coefficient, intrinsic material length, gradation profile, geometric ratios, and foundation stiffness are examined through a detailed parametric study. The outcomes demonstrate the consistency of the theoretical model and illustrate how a physics-based formulation, when combined with data-driven approximation, can support efficient analysis and design of nanoscale graded structures.