cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rmqww6
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Country is Saint Kitts and Nevis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082858-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dfdzq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina (Linnaeus, 1758)",
 "Country is Saint Vincent and the Grenadines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082857-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.24750
title: Single-cycle Rift Valley fever virus particles from stable replicon cells enable discovery of antiviral CNX-1351 for multiple RNA viruses
title: Single-cycle Rift Valley fever virus particles from stable replicon cells enable discovery of antiviral CNX-1351 for multiple RNA viruses

description: RNA-Seq of Huh7 cells incubated with drug CNX-1351
description: RNA-Seq of Huh7 cells incubated with drug CNX-1351
DOI: 10.15468/dl.9k9w2u
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascidiella aspersa (Müller, 1776)",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082859-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzhqkf
title: Occurrence Download

description: A dataset containing 780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascidiella aspersa (Müller, 1776)",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 780 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082860-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fcw83
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascidiella aspersa (Müller, 1776)",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082861-250525065834625/datasets/export for details.
DOI: 10.34847/nkl.6e3ckt1h
title: Gauchito Gil (Santiago del Estero, 26°08'07.2"S - 63°42'52.1"W)
DOI: 10.15468/dl.dgv9ag
title: Occurrence Download

description: A dataset containing 2664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-75.55911 4.95011,-75.56004 4.94893,-75.55728 4.94134,-75.55645 4.92413,-75.54995 4.9244,-75.54269 4.92828,-75.54097 4.92018,-75.53671 4.91646,-75.52841 4.91754,-75.52179 4.92329,-75.51119 4.92419,-75.50754 4.92305,-75.5037 4.91873,-75.49458 4.92024,-75.48058 4.91515,-75.4833 4.91038,-75.47852 4.90465,-75.47358 4.90356,-75.47436 4.8966,-75.47241 4.89052,-75.46763 4.88783,-75.46294 4.88753,-75.46457 4.89078,-75.46178 4.9018,-75.46585 4.91238,-75.47221 4.91666,-75.47312 4.91889,-75.47702 4.91897,-75.47625 4.91547,-75.48215 4.92332,-75.48064 4.92578,-75.4772 4.92329,-75.47685 4.9244,-75.48993 4.93192,-75.49392 4.92823,-75.49062 4.93508,-75.49223 4.93598,-75.4964 4.93192,-75.50011 4.93187,-75.50268 4.92932,-75.50569 4.9351,-75.50363 4.93647,-75.5067 4.93694,-75.50696 4.93385,-75.50892 4.93285,-75.5137 4.93649,-75.51051 4.94032,-75.51242 4.94195,-75.52412 4.94409,-75.52901 4.94765,-75.52766 4.93889,-75.53065 4.9297,-75.53151 4.92874,-75.53615 4.93139,-75.54162 4.93074,-75.54261 4.93766,-75.5469 4.94103,-75.5474 4.94377,-75.55911 4.95011)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2664 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082862-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20350/digitalcsic/17388
title: Ocean_Warming_SST_v01

description: 9 files
description: The dataset OCEAN_WARMING_SST_v01 contains: Monthly, summer, winter and annual time series and trends of Sea Surface Temperature (SST) from 6 oceanic buoys and 3 CTDS stations managed by Observatorio Costeiro da Xunta de Galicia (OCXG,https://observatoriocosteiro.gal/es)
DOI: 10.7910/dvn/cjxygl
title: Characterizing zonulin and par2 expression in zonulin transgenic and zonulin inhibition mouse models of motility and inflammation

description: These are raw gastrointestinal transit testing and qPCR data associated with a manuscript.
DOI: 10.20350/digitalcsic/17390
title: Plasmid sequences and maps [Dataset]

description: 1.1 pGEN22 NA LLO Map.pdf 1.2 pGEN22 NA LLO.dna 1.3 pGEN22 NA LLO.fa 2.1 pGEN22 TRP2 LLO Map.pdf 2.2 pGEN22 TRP2 LLO.dna 2.3 pGEN22 TRP2 LLO.fa 3.1 pGEN22-OVA-LLO Map.pdf 3.2 pGEN22-OVA-LLO.dna 3.3 pGEN22-OVA-LLO.fa 4.1 pPL2 NA Map.pdf 4.2 pPL2 NA.dna 4.3 pPL2 NA.fa
DOI: 10.15468/dl.vrxug7
title: Occurrence Download

description: A dataset containing 93675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera Guenée, 1852"
 ]
}

 The dataset includes 93675 records from 472 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082845-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma7kqx
title: Occurrence Download

description: A dataset containing 1111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botryllus schlosseri (Pallas, 1766)",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1111 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082864-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7vqcq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium paniculatum Gaertn.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020872-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfaz98
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polymetme thaeocoryla Parin & Borodulina, 1990",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 145 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020874-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zudzp6
title: Occurrence Download

description: A dataset containing 20463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo L.",
 "Geometry POLYGON((-105 39, -79 39, -79 57, -105 57, -105 39))"
 ]
}

 The dataset includes 20463 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020875-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf5rpa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium smithii (Poir.) Nied.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020876-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.22580922
title: Unsupervised methods for size and shape

description: The aim of this article is to propose unsupervised classification methods for size-and-shape considering two-dimensional images (planar shapes). We present new methods based on hypothesis testing and the K-means algorithm. We also propose combinations of algorithms using ensemble methods: bagging and boosting. We consider simulated data in three scenarios in order to evaluate the performance of the proposed methods. The numerical results have indicated that for the data sets, when the centroid sizes change, the performance of the algorithms improves. In addition, bagging-based algorithms outperform their basic versions. Moreover, two real-world datasets have been considered: great ape skull and mice vertebrae references. These datasets have different configurations, such as multiple reference points and variability. Bagged K-means and boosted K-means methods achieved the best performance on the datasets. Lastly, considering the synthetic and real data, the bagged K-means proved to be the best method.
DOI: 10.6084/m9.figshare.22347530.v1
title: Detecting and correcting for heteroscedasticity in the presence of measurement error

description: The problem of measurement error in predictors has received a vast amount of attention for both linear and non-linear models. The major focus has generally been on inference for regression coefficients, while residual analysis, variance estimation and heteroscedasticity assessment have received limited attention. In this paper we propose and evaluate new methods, based on reconstructed predictors, to address these problems in the context of linear regression. Methods using moment reconstructed predictors are found to perform well, including a new model-based bootstrapping technique for testing heteroscedasticity. Motivated by an example where the predictor is methylation rate and the measurement error model is based on the binomial distribution, particular attention is given to being able to handle the situation where both the measurement error variances and the variance of the error in the equation may be changing as a quadratic function of the unobserved predictor.
DOI: 10.6084/m9.figshare.22085739
title: On subset multiple correspondence analysis for incomplete multivariate categorical data

description: Multiple imputation is considered as a superior data analysis practice to deal with missing values. This is, in particular, also true in the important case of categorical variables. However, imputation techniques could be a daunting task for the less technical data practitioner. In the case of categorical variables, imputation can be avoided by recoding the indicator matrix of the data set before analysis. New category levels are created for each variable to which missing values are assigned. The recoded indicator matrix enables the separation of missing and observed responses. Subset multiple correspondence analysis (sMCA) allows a focused analysis on either of the missing or non-missing subsets of the recoded indicator matrix while preserving the original variation of the data. The main purpose of this article is to evaluate the sMCA approach using simulated data which incorporate various parameters. In addition, the visualization of multivariate categorical data containing missing values that follows from the sMCA approach is presented. This article could aid as a guide when deciding whether the sMCA approach is suitable for the analysis of incomplete multivariate categorical data. To ensure effortless application of the presented methodology, a complete <b>R</b> script with commented functions is available as supplementary material.
DOI: 10.6084/m9.figshare.22085739.v1
title: On subset multiple correspondence analysis for incomplete multivariate categorical data

description: Multiple imputation is considered as a superior data analysis practice to deal with missing values. This is, in particular, also true in the important case of categorical variables. However, imputation techniques could be a daunting task for the less technical data practitioner. In the case of categorical variables, imputation can be avoided by recoding the indicator matrix of the data set before analysis. New category levels are created for each variable to which missing values are assigned. The recoded indicator matrix enables the separation of missing and observed responses. Subset multiple correspondence analysis (sMCA) allows a focused analysis on either of the missing or non-missing subsets of the recoded indicator matrix while preserving the original variation of the data. The main purpose of this article is to evaluate the sMCA approach using simulated data which incorporate various parameters. In addition, the visualization of multivariate categorical data containing missing values that follows from the sMCA approach is presented. This article could aid as a guide when deciding whether the sMCA approach is suitable for the analysis of incomplete multivariate categorical data. To ensure effortless application of the presented methodology, a complete <b>R</b> script with commented functions is available as supplementary material.
DOI: 10.6084/m9.figshare.22347530
title: Detecting and correcting for heteroscedasticity in the presence of measurement error

description: The problem of measurement error in predictors has received a vast amount of attention for both linear and non-linear models. The major focus has generally been on inference for regression coefficients, while residual analysis, variance estimation and heteroscedasticity assessment have received limited attention. In this paper we propose and evaluate new methods, based on reconstructed predictors, to address these problems in the context of linear regression. Methods using moment reconstructed predictors are found to perform well, including a new model-based bootstrapping technique for testing heteroscedasticity. Motivated by an example where the predictor is methylation rate and the measurement error model is based on the binomial distribution, particular attention is given to being able to handle the situation where both the measurement error variances and the variance of the error in the equation may be changing as a quadratic function of the unobserved predictor.
DOI: 10.5281/zenodo.7754240
title: Quantitative Structure-Activity Relationship (QSAR)-enabled in vitro Genotoxicity assessments of Titanium Dioxide Nanomaterials.

description: This dataset provides information on the physicochemical properties of titanium dioxide (TiO2) nanomaterial, experimental conditions, characterization methods, as well as the different assays evaluating genotoxicity.
DOI: 10.5281/zenodo.7754241
title: Quantitative Structure-Activity Relationship (QSAR)-enabled in vitro Genotoxicity assessments of Titanium Dioxide Nanomaterials.

description: This dataset provides information on the physicochemical properties of titanium dioxide (TiO2) nanomaterial, experimental conditions, characterization methods, as well as the different assays evaluating genotoxicity.
DOI: 10.5281/zenodo.14285027
title: POLICY OF PROMOTING EMPLOYMENT BY REDUCING INFORMAL JOBS IN THE LABOR MARKET AND ENHANCING INTERAGENCY COOPERATION
DOI: 10.5281/zenodo.14285028
title: POLICY OF PROMOTING EMPLOYMENT BY REDUCING INFORMAL JOBS IN THE LABOR MARKET AND ENHANCING INTERAGENCY COOPERATION
DOI: 10.15468/dl.u38htq
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scymnodon ringens Barbosa du Bocage & de Brito Capello, 1864",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 99 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020877-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q596sm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium uniflorum Merr. & L.M.Perry",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020878-241126133413365/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc10pt9t
title: CCDC 944486: Experimental Crystal Structure Determination

description: Related Article: Y. Sarazin, L. Wang, J.-F. Carpentier|2024|CSD Communication|||
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/ccdc.csd.cc10skjw
title: CCDC 947128: Experimental Crystal Structure Determination

description: Related Article: Y. Sarazin et al|2024|CSD Communication|||
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/ccdc.csd.cc10skly
title: CCDC 947130: Experimental Crystal Structure Determination

description: Related Article: Y. Sarazin et al|2024|CSD Communication|||
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/ccdc.csd.cc10skq2
title: CCDC 947134: Experimental Crystal Structure Determination

description: Related Article: Y. Sarazin et al|2024|CSD Communication|||
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/ccdc.csd.cc2jvtz6
title: CCDC 2349489: Experimental Crystal Structure Determination

description: Related Article: Chi Hsien Wang|2024|CSD Communication|||
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/ccdc.csd.cc2ksvgp
title: CCDC 2377373: Experimental Crystal Structure Determination

description: Related Article: Amelia G. Reid, Diane A. Dickie, Charles W. Machan|2024|CSD Communication|||
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/ccdc.csd.cc2kt1m2
title: CCDC 2377564: Experimental Crystal Structure Determination

description: Related Article: Tianyu Zheng|2024|CSD Communication|||
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/ccdc.csd.cc2kt64r
title: CCDC 2377704: Experimental Crystal Structure Determination

description: Related Article: Dasarath Mal|2024|CSD Communication|||
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.pmfygn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabebuia pallida (Lindl.) Miers",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020879-241126133413365/datasets/export for details.
DOI: 10.15468/dl.3b47sc
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mylodontidae"
 ]
}

 The dataset includes 689 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020880-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.