cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.974zgb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hiraea fagifolia (DC.) A.Juss.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016263-250127130748423/datasets/export for details.
DOI: 10.15468/dl.fgx92b
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hiraea reclinata Jacq.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016264-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7ztpm29tc8.1
title: A dataset for delineation of selection efficiency of multi-trait stability index in the selection of high-yielding and stable barley genotypes

description: Raw data for "A dataset for delineation of selection efficiency of multi-trait stability index in the selection of high-yielding and stable barley genotypes"
DOI: 10.15468/dl.cv67y9
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia emarginata DC.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 167 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016265-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp5s7r
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron cuneatum W.W.Sm."
 ]
}

 The dataset includes 94 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016266-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8z9x2b
title: Occurrence Download

description: A dataset containing 1024507 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is French Guiana"
 ]
}

 The dataset includes 1024507 records from 1066 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016246-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8942z6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia hintonii Bullock)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016267-250127130748423/datasets/export for details.
DOI: 10.15468/dl.fthqyn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia macrocarpa F.K.Mey.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016268-250127130748423/datasets/export for details.
DOI: 10.15468/dl.dduzcg
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-94.82610 -7.91248,-66.68817 -7.91248,-66.68817 3.33752,-94.82610 3.33752,-94.82610 -7.91248))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Felis catus Linnaeus, 1758"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016270-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h4g7j
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-11.17525 36.8587,-22.67725 17.51442,-4.90142 -2.09127,5.81637 1.30704,13.92004 -34.50603,27.51333 -39.2114,58.09822 -20.91274,53.65427 14.11609,44.50493 12.02483,33.00293 33.46039,14.18146 36.33589,6.6006 38.42716,-11.17525 36.8587))",
 "TaxonKey is Neoromicia Roberts, 1926"
 ]
}

 The dataset includes 579 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016271-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnf7bg
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia mexicana A.Juss.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 38 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016272-250127130748423/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/10672454
title: NewYork Property Valuation and Assessment Data
DOI: 10.15468/dl.q57tqs
title: Occurrence Download

description: A dataset containing 6613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Itea chinensis Hook. & Arn., Itea coriacea Y.C.Wu, Itea glutinosa Hand.-Mazz., Itea indochinensis Merr., Itea kiukiangensis C.C.Huang & S.C.Huang, Itea macrophylla Wall. ex Roxb., Itea oldhamii C.K.Schneid., Itea omeiensis C.K.Schneid., Itea parviflora Hemsl., Itea rhamnoides (Harv.) Kubitzki, Itea yangchunensis S.Y.Jin, Itea yunnanensis Franch.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6613 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016273-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srqb3z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia ovata Rose)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016275-250127130748423/datasets/export for details.
DOI: 10.15468/dl.q2bysd
title: Occurrence Download

description: A dataset listing the 1556 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tardigrada"
 ]
}

 The dataset's 1556 records were derived from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016258-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3r3ah
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malpighia romeroana Cuatrec.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016277-250127130748423/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.28143444
title: Extrapolation Before Imputation Reduces Bias When Imputing Censored Covariates

description: Modeling symptom progression to identify ideal subjects for a Huntington’s disease clinical trial is problematic since time to diagnosis, a key covariate, can be heavily censored. Imputation is an appealing strategy that replaces the censored covariate with its conditional mean, but existing methods saw over 200% bias under heavy censoring. Calculating conditional means well requires estimating and then integrating over the survival function of the censored covariate from the censored value to infinity. To estimate the survival function flexibly, existing methods use the semiparametric Cox model with Breslow’s estimator, leaving the integrand for the conditional means (the survival function) undefined beyond the observed data. The integral is then estimated up to the largest observed covariate value, and this approximation can cut off the tail of the survival function and lead to severe bias. We combine the semiparametric survival estimator with a parametric extension to approximate the integral up to infinity. In simulations, our proposed extrapolation-before-imputation approach substantially reduces the bias seen with existing imputation methods, sometimes even when the parametric extension was misspecified. We further demonstrate how imputing with corrected conditional means can prioritize subjects for clinical trials. The R code to reproduce results is available in the supplementary material. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.28143444.v1
title: Extrapolation before imputation reduces bias when imputing censored covariates

description: Modeling symptom progression to identify ideal subjects for a Huntington’s disease clinical trial is problematic since time to diagnosis, a key covariate, can be heavily censored. Imputation is an appealing strategy that replaces the censored covariate with its conditional mean, but existing methods saw over 200% bias under heavy censoring. Calculating conditional means well requires estimating and then integrating over the survival function of the censored covariate from the censored value to infinity. To estimate the survival function flexibly, existing methods use the semiparametric Cox model with Breslow’s estimator, leaving the integrand for the conditional means (the survival function) undefined beyond the observed data. The integral is then estimated up to the largest observed covariate value, and this approximation can cut off the tail of the survival function and lead to severe bias. We combine the semiparametric survival estimator with a parametric extension to approximate the integral up to infinity. In simulations, our proposed extrapolation-before-imputation approach substantially reduces the bias seen with existing imputation methods, sometimes even when the parametric extension was misspecified. We further demonstrate how imputing with corrected conditional means can prioritize subjects for clinical trials. The R code to reproduce results is available in the Supplementary Material.
DOI: 10.6084/m9.figshare.28143444.v2
title: Extrapolation Before Imputation Reduces Bias When Imputing Censored Covariates

description: Modeling symptom progression to identify ideal subjects for a Huntington’s disease clinical trial is problematic since time to diagnosis, a key covariate, can be heavily censored. Imputation is an appealing strategy that replaces the censored covariate with its conditional mean, but existing methods saw over 200% bias under heavy censoring. Calculating conditional means well requires estimating and then integrating over the survival function of the censored covariate from the censored value to infinity. To estimate the survival function flexibly, existing methods use the semiparametric Cox model with Breslow’s estimator, leaving the integrand for the conditional means (the survival function) undefined beyond the observed data. The integral is then estimated up to the largest observed covariate value, and this approximation can cut off the tail of the survival function and lead to severe bias. We combine the semiparametric survival estimator with a parametric extension to approximate the integral up to infinity. In simulations, our proposed extrapolation-before-imputation approach substantially reduces the bias seen with existing imputation methods, sometimes even when the parametric extension was misspecified. We further demonstrate how imputing with corrected conditional means can prioritize subjects for clinical trials. The R code to reproduce results is available in the supplementary material. Supplementary materials for this article are available online.
DOI: 10.20383/103.01169
title: Longitudinal datasets (2000 – 2020) with high spatiotemporal resolution for air pollution exposure assessment in Canada

description: This dataset is aims to help health and epidemiological studies in Canada by presenting coarse to high resolution criteria air pollutants (PM2.5, NO2, O3) for the years 2000 through 2020. The datasets are based on model simulations of the US EPA’s Community Multiscale (CMAQ) model at 12 km horizontal resolution. The datasets are further processed to enhance performance using statistical and machine learning and are generated at various spatial resolutions (census divisions, postal code, gridded 12 km, or 1km.
DOI: 10.6084/m9.figshare.28352742
title: Pursuing homogeneity and sparsity in simultaneous quantile regression

description: Quantile regression analyzes the impact of predictors on the conditional distribution of the response by focusing on a collection of conditional quantiles rather than a single conditional mean. The main goal of this work is to Pursuing Homogeneity in Simultaneous Quantile Regression (PHISQ) to get more interpretable and efficient quantile regression estimation. The new method reveals not only the predictors that are associated with the outcome, but also the true sources of <i>homogeneity</i>, the specific predictors that only have homogeneous effects on the response at the quantiles of interest, and the true sources of heterogeneity, the predictors that have heterogeneous effects across quantile levels of interest. Therefore, the new method may eventually result in a model that is considerably more parsimonious and interpretable. In addition, the new method can pool/borrow information across different quantiles to estimate the homogeneous regression parameters, and thus improve the estimation efficiency, especially at the tails. We demonstrate that the penalized PHISQ method exhibits desirable properties under mild regularity conditions. Simulation results and a real data application further validate the effectiveness of PHISQ. Supplementary materials for the article are available online.
DOI: 10.6084/m9.figshare.28352742.v1
title: Pursuing homogeneity and sparsity in simultaneous quantile regression

description: Quantile regression analyzes the impact of predictors on the conditional distribution of the response by focusing on a collection of conditional quantiles rather than a single conditional mean. The main goal of this work is to Pursuing Homogeneity in Simultaneous Quantile Regression (PHISQ) to get more interpretable and efficient quantile regression estimation. The new method reveals not only the predictors that are associated with the outcome, but also the true sources of <i>homogeneity</i>, the specific predictors that only have homogeneous effects on the response at the quantiles of interest, and the true sources of heterogeneity, the predictors that have heterogeneous effects across quantile levels of interest. Therefore, the new method may eventually result in a model that is considerably more parsimonious and interpretable. In addition, the new method can pool/borrow information across different quantiles to estimate the homogeneous regression parameters, and thus improve the estimation efficiency, especially at the tails. We demonstrate that the penalized PHISQ method exhibits desirable properties under mild regularity conditions. Simulation results and a real data application further validate the effectiveness of PHISQ. Supplementary materials for the article are available online.
DOI: 10.15468/dl.zeeqms
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abutilon bastardioides Baker fil. ex Rose)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016279-250127130748423/datasets/export for details.
DOI: 10.60707/vmrf-g722
title: Official SAMIS basemap for sample OREX-800088-10
DOI: 10.15468/dl.uad3as
title: Occurrence Download

description: A dataset containing 1126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Malus coronaria (L.) Mill.",
 "Year 1950-2025"
 ]
}

 The dataset includes 1126 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016280-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48zphd
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (500,000 plant Specimens from PE Herbarium in China from 1950 to 1999, 2023 Contributions of Plant Specimen Data inside China, The Himalayan Uplands Plant database (HUP Version 1), Bhutan Biodiversity Portal data, Pl@ntNet automatically identified occurrences, Edinburgh (E) Herbarium Specimens, Tropicos Specimens Non-MO, Plant Specimen from Herbarium (CDBI) in China, Chengdu Institute of Botany, Chinese Academy of Sciences, iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron setosum D.Don"
 ]
}

 The dataset includes 169 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016282-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/empvxz
title: Redescription and molecular characterization of Mothocya parvostis Bruce, 1986 (Crustacea: Isopoda: Cymothoidae) parasitic on Japanese halfbeak, Hyporhamphus sajori (Temminck & Schlegel, 1846) (Hemiramphidae) with Mothocya sajori Bruce, 1986 placed into synonymy

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fujita, Hiroki, Aneesh, Panakkool Thamban, Kawai, Kentaro, Kitamura, Shin-Ichi, Shimomura, Michitaka, Umino, Tetsuya, Ohtsuka, Susumu (2023): Redescription and molecular characterization of Mothocya parvostis Bruce, 1986 (Crustacea: Isopoda: Cymothoidae) parasitic on Japanese halfbeak, Hyporhamphus sajori (Temminck & Schlegel, 1846) (Hemiramphidae) with Mothocya sajori Bruce, 1986 placed into synonymy. Zootaxa 5277 (2): 259-286, DOI: 10.11646/zootaxa.5277.2.2, URL: http://dx.doi.org/10.11646/zootaxa.5277.2.2AbstractTwo species of Mothocya have previously been recorded from Hyporhamphus sajori: M. parvostis Bruce, 1986 and M. sajori Bruce, 1986. Mothocya parvostis is re-described based on the ovigerous female type and additional materials collected from the host from in and around the type locality. Morphological re-examination of fresh specimens and the type materials together with genetic data show that the M. sajori and M. parvostis are the same species, differing primarily in size, therefore we have placed Mothocya sajori Bruce, 1986 into a junior synonym of Mothocya parvostis Bruce, 1986. Mothocya parvostis is characterized by the following combinations of characters: 1) body slightly to moderately twisted to one side; 2) pereonite 7 posterior margin moderately to deeply recessed; 3) uropodal rami extending to pleotelson posterior margin; and 4) uropod rami bluntly rounded, exopod 1.5 times as long as peduncle. The differences of four morphological features for M. parvostis and M. sajori was quantified. Furthermore, a total of 635 isopods infesting H. sajori were collected from all over Japan to conduct quantitative morphological and molecular sequence analyses (mitochondrial cytochrome c oxidase subunit I and 16S rRNA). Although the four quantitative features did not overlap between the two species in type specimens, all quantitative morphological values of newly collected specimens in this study did not display a bimodal distribution. In addition, our molecular analyses found only a single clade for our newly collected specimens in neighbor-joining tree.
DOI: 10.15468/q2ay9s
title: Resurrection of Leucobryum scalare Muell. Hal. ex M. Fleisch. (Bryophyta, Leucobryaceae) based on phylogenetic and morphometric evidence

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tiwutanon, Patsakorn, Chaiyasut, Kasidis, Lumbsch, H. Thorsten, Kraichak, Ekaphan (2023): Resurrection of Leucobryum scalare Muell. Hal. ex M. Fleisch. (Bryophyta, Leucobryaceae) based on phylogenetic and morphometric evidence. PhytoKeys 222: 27-47, DOI: http://dx.doi.org/10.3897/phytokeys.222.98990, URL: http://dx.doi.org/10.3897/phytokeys.222.98990
DOI: 10.15468/dl.dxqkyn
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidochelys olivacea"
 ]
}

 The dataset includes 173 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064722-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d38b49
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Two new frog species from the Litoria rubella species group from eastern Australia"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004484-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.