cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.29v2rf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudoryzomys Hershkovitz, 1959"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046824-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg2dck
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ponticola gorlap (Iljin, 1949)"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081779-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yd7qcw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zamia orinoquiensis Calonje, Betancur & A.Lindstr., 2022"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053327-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atvwpo
title: Occurrence Download

description: A dataset containing 1718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tyto alba (Scopoli, 1769)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1718 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010798-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n24eq3
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Colubrina asiatica (L.) Brongn."
 ]
}

 The dataset includes 581 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124303-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9o9sek
title: Occurrence Download

description: A dataset containing 26086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarina L."
 ]
}

 The dataset includes 26086 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004415-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhf8ta
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryopteris squamifera Ching & S.K.Wu",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0319956-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv1zvq
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amborella trichopoda Baill.",
 "Country is New Caledonia"
 ]
}

 The dataset includes 289 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010799-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ryrqf
title: Occurrence Download

description: A dataset containing 14874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 14874 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0411200-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y7nx3
title: Occurrence Download

description: A dataset listing the 35740 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Morocco"
 ]
}

 The dataset's 35740 records were derived from 1027 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321108-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsnjyb
title: Occurrence Download

description: A dataset containing 56301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "Geometry POLYGON((23.22466 34.67822,26.53001 34.67822,26.53001 35.78628,23.22466 35.78628,23.22466 34.67822))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56301 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004415-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7nqwuq
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-42 -10,-34 -10,-34 -2,-42 -2,-42 -10))",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded)",
 "OccurrenceStatus is Present",
 "TaxonKey is Proceratophrys Miranda-Ribeiro, 1920"
 ]
}

 The dataset includes 71 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009498-240506114902167/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/8385693
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.av96wr
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia jeanae Ross, 1964"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009499-240506114902167/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.25504695
title: Constrained Bayesian Optimization with Lower Confidence Bound

description: In this article, we present a hybrid Bayesian optimization (BO) framework to solve constrained optimization problems by adopting a state-of-the-art acquisition function from the unconstrained BO literature, the well-known lower confidence bound acquisition function and propose a novel variant that analyzes the feasible and infeasible regions which ensure the theoretical convergence guarantee. The proposed variant is compared with the existing state-of-the-art approaches in the constrained BO literature via implementing these approaches on six different problems, including black-box, classical engineering, and hyperparameter tuning problems. Further, we demonstrate the effectiveness of our approach through graphical and statistical testing.
DOI: 10.6084/m9.figshare.25766304
title: Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data

description: We propose the Minimum Regularized Covariance Trace (MRCT) estimator, a novel method for robust covariance estimation and functional outlier detection designed primarily for dense functional data. The MRCT estimator employs a subset-based approach that prioritizes subsets exhibiting greater centrality based on the generalization of the Mahalanobis distance, resulting in a fast-MCD type algorithm. Notably, the MRCT estimator handles high-dimensional datasets without the need for preprocessing or dimension reduction techniques, due to the internal smoothening whose amount is determined by the regularization parameter α&gt;0. The selection of <i>α</i> is automated. An extensive simulation study demonstrates the efficacy of the MRCT estimator in terms of robust covariance estimation and automated outlier detection, emphasizing the balance between noise exclusion and signal preservation achieved through appropriate selection of <i>α</i>. The method converges fast in practice and performs favorably when compared to other functional outlier detection methods.
DOI: 10.6084/m9.figshare.25504695.v2
title: Constrained Bayesian Optimization with Lower Confidence Bound

description: In this article, we present a hybrid Bayesian optimization (BO) framework to solve constrained optimization problems by adopting a state-of-the-art acquisition function from the unconstrained BO literature, the well-known lower confidence bound acquisition function and propose a novel variant that analyzes the feasible and infeasible regions which ensure the theoretical convergence guarantee. The proposed variant is compared with the existing state-of-the-art approaches in the constrained BO literature via implementing these approaches on six different problems, including black-box, classical engineering, and hyperparameter tuning problems. Further, we demonstrate the effectiveness of our approach through graphical and statistical testing.
DOI: 10.6084/m9.figshare.25504695.v1
title: Constrained Bayesian Optimization with Lower Confidence Bound

description: In this article, we present a hybrid Bayesian optimization (BO) framework to solve constrained optimization problems by adopting a state-of-the-art acquisition function from the unconstrained BO literature, the well-known lower confidence bound acquisition function and propose a novel variant that analyzes the feasible and infeasible regions which ensure the theoretical convergence guarantee. The proposed variant is compared with the existing state-of-the-art approaches in the constrained BO literature via implementing these approaches on six different problems, including black-box, classical engineering, and hyperparameter tuning problems. Further, we demonstrate the effectiveness of our approach through graphical and statistical testing.
DOI: 10.6084/m9.figshare.25766304.v1
title: Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data

description: We propose the Minimum Regularized Covariance Trace (MRCT) estimator, a novel method for robust covariance estimation and functional outlier detection designed primarily for dense functional data. The MRCT estimator employs a subset-based approach that prioritizes subsets exhibiting greater centrality based on the generalization of the Mahalanobis distance, resulting in a fast-MCD type algorithm. Notably, the MRCT estimator handles high-dimensional datasets without the need for preprocessing or dimension reduction techniques, due to the internal smoothening whose amount is determined by the regularization parameter α&gt;0. The selection of <i>α</i> is automated. An extensive simulation study demonstrates the efficacy of the MRCT estimator in terms of robust covariance estimation and automated outlier detection, emphasizing the balance between noise exclusion and signal preservation achieved through appropriate selection of <i>α</i>. The method converges fast in practice and performs favorably when compared to other functional outlier detection methods.
DOI: 10.15468/dl.txzhu2
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia malverna Ross, 1964"
 ]
}

 The dataset includes 187 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009500-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w99r3g
title: Occurrence Download

description: A dataset containing 3215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, da86174a-a605-43a4-a5e8-53d484152cd3)",
 "TaxonKey is one of (Vaccinium corymbosum L., Vaccinium angustifolium Aiton)",
 "Year 2015-2024"
 ]
}

 The dataset includes 3215 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009502-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nd239w
title: Occurrence Download

description: A dataset containing 26884 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corybas Salisb."
 ]
}

 The dataset includes 26884 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009501-240506114902167/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/8385736
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.2sqyqy
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia mohri Ross & Ricker, 1964"
 ]
}

 The dataset includes 414 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009503-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.559kbu
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Busseola fusca Hampson, 1902, Busseola fusca Fuller, 1901)"
 ]
}

 The dataset includes 269 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009504-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpg4m9
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia mystica Frison, 1929"
 ]
}

 The dataset includes 648 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009505-240506114902167/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/8385814
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5281/zenodo.11127879
title: ΔvapHm-VOC: Standard Molar Vaporization Enthalpy Database for Machine Learning Prediction Models

description: We present the full database of the article "Data-Driven, Explainable Machine Learning Model for Predicting Volatile Organic Compounds’ Standard Vaporization Enthalpy".

This is the database used for data driven, explainable supervised ML model to predict ΔvapHm° of VOCs. The model was built on an established experimental database of 2410 unique molecules and 223 VOCs categorized by chemical groups. Using supervised ML regression algorithms, the Random Forest successfully predicted VOCs’ ΔvapHm° with a mean absolute error of 3.02 kJ mol-1 and a 94% test score. The model was successfully validated through the prediction of ΔvapHm° for a known database of VOCs and through molecular group hold-out tests.









The model's database was built with a variety of molecules from diverse chemical families with known experimental ΔvapHm° values. Entries were collected from Acree and Chickos’ 2010 compilation, curated by Gharagheizi (2013), with experimental vaporization enthalpy at the standard temperature of 298.15 K. This database was selected as it is an open-access repository, generally presenting experimental values with low uncertainties and corrected for the real-to-ideal behavior of the gas phase. We introduced a routine to convert and present each chemical entry into a SMILES string, along with chemical family categorization. For VOCs, we built a specific database of compounds documented in a VOC regulatory environmental guideline (Marlowe et al., 1995), and we used our web-scrapping routine to gather experimental ΔvapHm° values. The external dataset for validation studies was also collected from Gharagheizi (2013).

Along with ΔvapHm° experimental values, each molecule is represented by its CAS number, SMILES string and InChlKey. We generated 106 chemical descriptors for every molecule in the database, using RDKit software version 2022.09.4, running on top of Python 3.9. Descriptors were calculated from the “MolFromSmiles” function in “RDKIT.Chem” as descriptors with non-numerical values were removed. The descriptors encode significant chemical information and are used to present physicochemical characteristics of compounds, building a relationship between structure and ΔvapHm°.





Through chemical feature importance analysis, the explainable model revealed that VOC polarizability, connectivity indexes and electrotopological state are key for the model’s prediction accuracy. We thus present a replicable and explainable model, which can be further expanded towards the prediction of other thermodynamic properties of VOCs.
DOI: 10.5281/zenodo.11127880
title: ΔvapHm-VOC: Standard Molar Vaporization Enthalpy Database for Machine Learning Prediction Models

description: We present the full database of the article "Data-Driven, Explainable Machine Learning Model for Predicting Volatile Organic Compounds’ Standard Vaporization Enthalpy".

This is the database used for data driven, explainable supervised ML model to predict ΔvapHm° of VOCs. The model was built on an established experimental database of 2410 unique molecules and 223 VOCs categorized by chemical groups. Using supervised ML regression algorithms, the Random Forest successfully predicted VOCs’ ΔvapHm° with a mean absolute error of 3.02 kJ mol-1 and a 94% test score. The model was successfully validated through the prediction of ΔvapHm° for a known database of VOCs and through molecular group hold-out tests.









The model's database was built with a variety of molecules from diverse chemical families with known experimental ΔvapHm° values. Entries were collected from Acree and Chickos’ 2010 compilation, curated by Gharagheizi (2013), with experimental vaporization enthalpy at the standard temperature of 298.15 K. This database was selected as it is an open-access repository, generally presenting experimental values with low uncertainties and corrected for the real-to-ideal behavior of the gas phase. We introduced a routine to convert and present each chemical entry into a SMILES string, along with chemical family categorization. For VOCs, we built a specific database of compounds documented in a VOC regulatory environmental guideline (Marlowe et al., 1995), and we used our web-scrapping routine to gather experimental ΔvapHm° values. The external dataset for validation studies was also collected from Gharagheizi (2013).

Along with ΔvapHm° experimental values, each molecule is represented by its CAS number, SMILES string and InChlKey. We generated 106 chemical descriptors for every molecule in the database, using RDKit software version 2022.09.4, running on top of Python 3.9. Descriptors were calculated from the “MolFromSmiles” function in “RDKIT.Chem” as descriptors with non-numerical values were removed. The descriptors encode significant chemical information and are used to present physicochemical characteristics of compounds, building a relationship between structure and ΔvapHm°.





Through chemical feature importance analysis, the explainable model revealed that VOC polarizability, connectivity indexes and electrotopological state are key for the model’s prediction accuracy. We thus present a replicable and explainable model, which can be further expanded towards the prediction of other thermodynamic properties of VOCs.
DOI: 10.15468/dl.rk7qe2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia oribata Poulton & Stewart, 1987"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009506-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z585bj
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia peltoides Ross & Ricker, 1964"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009507-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kusk7
title: Occurrence Download

description: A dataset containing 1152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax chrysops (Vieillot, 1818)",
 "Year 1980-2000"
 ]
}

 The dataset includes 1152 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009508-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucgqjt
title: Occurrence Download

description: A dataset containing 6135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax chrysops (Vieillot, 1818)",
 "Year 2020-2020"
 ]
}

 The dataset includes 6135 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009509-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rswk75
title: Occurrence Download

description: A dataset containing 2082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia rickeri Frison, 1942"
 ]
}

 The dataset includes 2082 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009510-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vcjm6
title: Occurrence Download

description: A dataset containing 3756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax yucatanicus (Dubois, 1875)",
 "Year 2020-2020"
 ]
}

 The dataset includes 3756 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009511-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2b66g
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allocapnia sandersoni Ricker, 1952"
 ]
}

 The dataset includes 56 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009512-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.