cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xhgrd4
title: Occurrence Download

description: A dataset containing 11837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodium vulgare"
 ]
}

 The dataset includes 11837 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008012-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2aq3wg
title: Occurrence Download

description: A dataset containing 50313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eupatorium cannabinum)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 50313 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007977-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43jyxg
title: Occurrence Download

description: A dataset containing 270619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cydalima perspectalis"
 ]
}

 The dataset includes 270619 records from 544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007978-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18461711
title: Optimal Balanced Multiway Number Partitioning at Scale

description: Datasets for Balanced Multiway Number Partitioning (BMNP) at scale.

All solutions achieve the theoretical optimum.

Large-scale verified optimal partitions.

SOTA snapshot + independent validation script provided.

Repository: https://github.com/mllmso/Optimal_Balanced_Multiway_Number_Partitioning

License: CC-BY-4.0
description: If you use this benchmark dataset in your research, please cite it as follows.
DOI: 10.5281/zenodo.18461712
title: Optimal Balanced Multiway Number Partitioning at Scale

description: Datasets for Balanced Multiway Number Partitioning (BMNP) at scale.

All solutions achieve the theoretical optimum.

Large-scale verified optimal partitions.

SOTA snapshot + independent validation script provided.

Repository: https://github.com/mllmso/Optimal_Balanced_Multiway_Number_Partitioning

License: CC-BY-4.0
description: If you use this benchmark dataset in your research, please cite it as follows.
DOI: 10.15468/dl.sscphz
title: Occurrence Download

description: A dataset containing 7387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia verrucosa, Euphorbia brittingeri, Euphorbia brittingeri, Euphorbia brittingeri)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7387 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008014-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/iykbez
title: Central Michigan University Herbarium

description: The Central Michigan University Herbarium (CMC) strives to integrate research and education, providing centralized botanical resources, research facilities, and educational opportunities to the University and broader scientific community.
DOI: 10.15468/dl.x4xgd3
title: Occurrence Download

description: A dataset containing 3851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Poland, Germany, Slovakia, Czechia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutra lutra",
 "Year 1950-2026"
 ]
}

 The dataset includes 3851 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008015-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18462124
title: Optimal Balanced 1D Bin Packing at Scale

description: Datasets for 1D Bin Packing with Cardinality Constraints (BPCC) at scale.

All solutions achieve the theoretical optimum.

Large-scale verified optimal packings.

SOTA snapshot + independent validation script provided.

Repository: https://github.com/mllmso/Optimal_Balanced_1D_Bin_Packing

License: CC-BY-4.0
description: If you use this benchmark dataset in your research, please cite it as follows.
DOI: 10.5281/zenodo.18462123
title: Optimal Balanced 1D Bin Packing at Scale

description: Datasets for 1D Bin Packing with Cardinality Constraints (BPCC) at scale.

All solutions achieve the theoretical optimum.

Large-scale verified optimal packings.

SOTA snapshot + independent validation script provided.

Repository: https://github.com/mllmso/Optimal_Balanced_1D_Bin_Packing

License: CC-BY-4.0
description: If you use this benchmark dataset in your research, please cite it as follows.
DOI: 10.15468/dl.mxjpdt
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Huberia consimilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 140 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008016-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af3n5f
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Montenegro",
 "TaxonKey is Vulpes vulpes"
 ]
}

 The dataset includes 169 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008017-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2yb62
title: Occurrence Download

description: A dataset containing 2750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphrasia minima, Euphrasia minima, Euphrasia minima, Euphrasia drosocalyx)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2750 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008018-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4tv52
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphrasia micrantha, Euphrasia micrantha, Euphrasia micrantha × nemorosa, Euphrasia nemorosa, Euphrasia nemorosa, Euphrasia nemorosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 777 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008019-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkp2zf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lavoisiera imbricata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008021-260129131611470/datasets/export for details.
DOI: 10.13140/rg.2.2.31126.20803
title: كارنية عضوية الجمعية المصرية للعلوم النووية وتطبيقاتها
DOI: 10.15468/6vgcvj
title: Grand Valley State University

description: The Grand Valley State University Herbarium (GVSC) is located in the Padnos Hall of Science (we will be moving to the new GVSU science building during the summer of 2015). The herbarium holds about 6000 specimens mostly from west Michigan
DOI: 10.15468/5kqwb7
title: Hope College

description: Hope College Herbarium (HCHM) is located in room 3051 of the Schaap Science Center and holds about 8000 specimens mostly from the West Michigan area with a rich collection of asteraceous plants.
DOI: 10.15468/dl.vbcyfd
title: Occurrence Download

description: A dataset containing 20301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphrasia officinalis, Euphrasia officinalis, Euphrasia rostkoviana)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 20301 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008022-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18462009
title: A classroom-based dataset on phase-level assessment of mathematical modelling processes in upper secondary education

description: This dataset documents upper secondary students’ engagement with mathematical modelling through phase-level assessment. It contains anonymised CSV files reporting phase-level scores based on a five-phase modelling framework (understanding and structuring, mathematisation, mathematical resolution, interpretation, and validation), together with a detailed codebook and comprehensive instrument documentation.

Data were collected in an authentic classroom context using curriculum-based modelling tasks and a structured data collection grid aligned with a unified phase-based scoring rubric (0–1–2). Phase-level scores were first attributed manually on the basis of students’ written productions and subsequently recorded through automated digital entry.

The dataset is provided in reusable, non-proprietary formats to support transparency and reuse in research on mathematical modelling processes, assessment methodologies, teacher education, and the development of learning analytics or AI-supported educational tools.
DOI: 10.5281/zenodo.18462008
title: A classroom-based dataset on phase-level assessment of mathematical modelling processes in upper secondary education

description: This dataset documents upper secondary students’ engagement with mathematical modelling through phase-level assessment. It contains anonymised CSV files reporting phase-level scores based on a five-phase modelling framework (understanding and structuring, mathematisation, mathematical resolution, interpretation, and validation), together with a detailed codebook and comprehensive instrument documentation.

Data were collected in an authentic classroom context using curriculum-based modelling tasks and a structured data collection grid aligned with a unified phase-based scoring rubric (0–1–2). Phase-level scores were first attributed manually on the basis of students’ written productions and subsequently recorded through automated digital entry.

The dataset is provided in reusable, non-proprietary formats to support transparency and reuse in research on mathematical modelling processes, assessment methodologies, teacher education, and the development of learning analytics or AI-supported educational tools.
DOI: 10.15468/dl.mwd2c6
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, The taxon ID was not found in the checklist, Occurrence status inferred from individual count, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy)",
 "TaxonKey is Polylepis quadrijuga"
 ]
}

 The dataset includes 315 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008025-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrkews
title: Occurrence Download

description: A dataset containing 2218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodium cambricum"
 ]
}

 The dataset includes 2218 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008023-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.addsau
title: Occurrence Download

description: A dataset containing 3747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euphrasia salisburgensis, Euphrasia salisburgensis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3747 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008024-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9the8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Pipilo maculatus [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (LACM)",
 "Geometry POLYGON((-119.94251 34.11058,-119.98078 34.06913,-119.93368 33.94224,-119.52449 33.90071,-119.45973 34.08133,-119.94251 34.11058))"
 ]
 }
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008026-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zxs3j
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lijndenia procteri",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 34 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008027-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17044/scilifelab.29835419
title: Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance

description: The accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. This study presents the development of a predictive model for SAR using advanced machine learning techniques. A comprehensive dataset comprising 1,850 entries was compiled through the integration of 84 relevant scientific articles. The dataset listed 30 predictive features, including physical, chemical, and magnetic SPION properties, along with extrinsic experimental parameters commonly reported. Exploratory data analysis revealed complex nonlinear relationships among the predictive features. Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). Shapley Additive Explanation analysis identified the alternating magnetic field amplitude and frequency as the most influential factors, followed by SPION concentration and the surface area of the core nanoparticle. Conformal prediction analysis confirmed the model's reliability, providing a prediction interval of ±61.94 W/g. The model's generalization capability was validated using an independent dataset of SPIONs with varying sizes (from 7 nm to 30 nm) and dopants (Zn, Mn, Mg, and Co). The CatBoost model accurately predicted SAR values for small-sized nanoparticles (~7 nm), although predictions for medium (~15 nm) and large-sized (~30 nm) SPIONs exhibited greater variability. The study demonstrates that advanced machine learning models, such as CatBoost, can significantly contribute to the identification of nanoparticles with optimal properties for magnetic hyperthermia, thereby supporting their systematic and robust development for broader clinical use.
DOI: 10.17044/scilifelab.29835419.v1
title: Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance

description: The accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. This study presents the development of a predictive model for SAR using advanced machine learning techniques. A comprehensive dataset comprising 1,850 entries was compiled through the integration of 84 relevant scientific articles. The dataset listed 30 predictive features, including physical, chemical, and magnetic SPION properties, along with extrinsic experimental parameters commonly reported. Exploratory data analysis revealed complex nonlinear relationships among the predictive features. Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). Shapley Additive Explanation analysis identified the alternating magnetic field amplitude and frequency as the most influential factors, followed by SPION concentration and the surface area of the core nanoparticle. Conformal prediction analysis confirmed the model's reliability, providing a prediction interval of ±61.94 W/g. The model's generalization capability was validated using an independent dataset of SPIONs with varying sizes (from 7 nm to 30 nm) and dopants (Zn, Mn, Mg, and Co). The CatBoost model accurately predicted SAR values for small-sized nanoparticles (~7 nm), although predictions for medium (~15 nm) and large-sized (~30 nm) SPIONs exhibited greater variability. The study demonstrates that advanced machine learning models, such as CatBoost, can significantly contribute to the identification of nanoparticles with optimal properties for magnetic hyperthermia, thereby supporting their systematic and robust development for broader clinical use.
DOI: 10.6084/m9.figshare.29379188
title: Our experiment data and Grid independence.

description: These data record the experimental results of ours under different pectoral fin shapes and angles of attack and Grid independence.
DOI: 10.6084/m9.figshare.29379188.v2
title: Our experiment data and Grid independence.

description: These data record the experimental results of ours under different pectoral fin shapes and angles of attack and Grid independence.
DOI: 10.6084/m9.figshare.29379188.v1
title: Our experiment data

description: These data record the experimental results of ours under different pectoral fin shapes and angles of attack.
DOI: 10.7910/dvn/ekvbzg
title: Replication Data for: "Endogenous Liquidity and Capital Reallocation"

description: This is the replication package for "Endogenous Liquidity and Capital Reallocation," accepted in 2024 by the Journal of Political Economy.
DOI: 10.7910/dvn/pcmiie
title: Executive Agreements Database, Background Statement Regarding the Agreement Regarding Customs Laws and Regulations Governing The Arrival and Departure Of Yachts Effected By Exchange Of Notes Act Washington, July 9, 2002 Entered Into Force July 9, 2002

description: KAV 6952
TIAS 02-709

First signed 07/09/2002
Last signed 07/09/2002
Entry into force (supplemented by last signed) 07/09/2002

stamped 04-657

C06547938

cover memo
DOI: 10.7910/dvn/roxdvc
title: Supplemental Data

description: Supplemental Data of "Effects of goat milk enriched with oligosaccharides on microbiota structures, and correlation between microbiota and short-chain fatty acids in mice large intestine". manuscript ID: JDS.2020-19510.R3 (JDS19510)
DOI: 10.7910/dvn/tg2aot
title: Environmental Public Opinion in U.S. States, 1973-2012

description: This dataset contains the state-level estimates of environmental public opinion in the U.S. The dataset covers 50 states for 40 years, ranging from 1973 to 2002. The dataset has information on public opinion broken down by partisanship (i.e. environmental public opinion among Democrats, Independents, or Republicans). The dataset also provides public opinion estimates in other issue areas such as foreign aid, assistance to blacks, defense, education, health, and welfare for the poor.

&lt;br&gt;
&lt;br&gt;
&lt;b&gt;To cite the dataset:&lt;/b&gt; Kim, Sung Eun and Johannes Urpelainen. 2017. Environmental Public Opinion in U.S. States, 1973-2012. Harvard Dataverse, V1. http://dx.doi.org/10.7910/DVN/TG2AOT
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;To cite the article:&lt;/b&gt; Kim, Sung Eun and Johannes Urpelainen. 2017. “Environmental Public Opinion in U.S. States, 1973-2012” Forthcoming. Environmental Politics. DOI:10.1080/09644016.2017.1362720
&lt;br&gt;
&lt;br&gt;
The dataverse also contains a complete replication package (see replication_code.R). 
&lt;br&gt;
&lt;br&gt;
You can use the data for any non-commercial purposes, provided you include a complete citation of the article and the dataset.
DOI: 10.7910/dvn/yunnt1
title: A98_10432.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/17c1abc6-9252-5aed-8759-aa3e250f079d'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/17c1abc6-9252-5aed-8759-aa3e250f079d