cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/nyw-blm-30q
title: Silene conica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pkq-m7g-bj8
title: Silene conica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.6mp5xv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimenta racemosa (Mill.) J.W.Moore",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111496-250525065834625/datasets/export for details.
DOI: 10.3535/cvr-bzl-4g2
title: Silene gallica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zax-had-d1z
title: Silene coronaria (L.) Clairv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.vsxkqs
title: Occurrence Download

description: A dataset containing 2139965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Country is China"
 ]
}

 The dataset includes 2139965 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141613-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyjt2f
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disconectes phalangium (G.O.Sars, 1864)"
 ]
}

 The dataset includes 76 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117312-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gtupc
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus edmondstonei (Hook.f.) B.L.Rob."
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123285-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x24nfr
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Discias vernbergi Boothe & Heard, 1987"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117301-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ym8w5m
title: Occurrence Download

description: A dataset containing 1972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.56391 32.51355,-117.29514 30.72176,-112.68128 24.00254,-107.3059 21.85239,-101.16902 18.00004,-95.65926 16.79058,-94.89775 18.62716,-96.19679 20.64293,-96.95831 23.10664,-96.73433 25.70474,-97.98859 27.04859,-100.00435 29.37792,-101.66176 30.3634,-103.0056 29.73627,-104.7974 31.12491,-107.52988 32.28958,-110.57592 31.57286,-112.95005 32.55835,-115.86171 33.09588,-117.56391 32.51355))",
 "TaxonKey is Condalia Cav."
 ]
}

 The dataset includes 1972 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141620-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34q4nd
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lionectes humicephalotus Wilson, 1989"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123295-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f767v
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire biodiversité du site Pierre Fabre de Bagnères de Bigorre"
 ]
}

 The dataset includes 103 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117302-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4fhbc
title: Occurrence Download

description: A dataset containing 4067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lespedeza thunbergii (DC.) Nakai"
 ]
}

 The dataset includes 4067 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247362-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gz3s5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liomera striolata (Odhner, 1925)"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123283-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7677ua
title: Occurrence Download

description: A dataset containing 39296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.14605 46.92841,4.31234 46.92841,4.31234 47.03994,4.14605 47.03994,4.14605 46.92841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39296 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262388-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk5ryd
title: Occurrence Download

description: A dataset containing 701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smilax ferox Wall. ex Kunth"
 ]
}

 The dataset includes 701 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247370-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5ye5y
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lipkebe holthuisi Chace, 1969"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123302-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yakkdx
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disconectes furcatus (G.O.Sars, 1870)"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117309-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st9wr8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristolochia impressinervis C.F.Liang"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247359-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyjgfk
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Favolus tenuiculus P.Beauv."
 ]
}

 The dataset includes 428 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123286-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myta3x
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disconectes latirostris (G.O.Sars, 1883)"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117310-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pahqfp
title: Occurrence Download

description: A dataset containing 3535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia rupestris L."
 ]
}

 The dataset includes 3535 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240776-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxuewd
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liomera supernodosa (Rathbun, 1906)"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123287-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkbpz8
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liouvillea oculata Chevreux, 1912"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123298-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnek8b
title: Occurrence Download

description: A dataset containing 426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia sachalinensis (F.Schmidt) Ronse Decr.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 426 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188308-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud24wn
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Contribución a la distribución, ecología y estado de conservación de dos especies del género Sceloporus, endémicas de la región del Cabo, Baja California Sur"
 ]
}

 The dataset includes 353 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123299-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ew5fm
title: Occurrence Download

description: A dataset containing 221525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidoptera",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 221525 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188302-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euhv7b
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ugni molinae Turcz."
 ]
}

 The dataset includes 732 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264739-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmpsc5
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pereskia nemorosa Rojas Acosta"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123304-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u25wq5
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lioxanthodes alcocki Calman, 1909"
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123300-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9vqmg
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus laticollaris Peters, 1870"
 ]
}

 The dataset includes 140 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123301-220831081235567/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.23197868.v2
title: Out-of-Sample <i>R</i><sup>2</sup>: Estimation and Inference

description: Out-of-sample prediction is the acid test of predictive models, yet an independent test dataset is often not available for assessment of the prediction error. For this reason, out-of-sample performance is commonly estimated using data splitting algorithms such as cross-validation or the bootstrap. For quantitative outcomes, the ratio of variance explained to total variance can be summarized by the coefficient of determination or in-sample <i>R</i><sup>2</sup>, which is easy to interpret and to compare across different outcome variables. As opposed to in-sample <i>R</i><sup>2</sup>, out-of-sample <i>R</i><sup>2</sup> has not been well defined and the variability on out-of-sample R̂2 has been largely ignored. Usually only its point estimate is reported, hampering formal comparison of predictability of different outcome variables. Here we explicitly define out-of-sample <i>R</i><sup>2</sup> as a comparison of two predictive models, provide an unbiased estimator and exploit recent theoretical advances on uncertainty of data splitting estimates to provide a standard error for R̂2. The performance of the estimators for <i>R</i><sup>2</sup> and its standard error are investigated in a simulation study. We demonstrate our new method by constructing confidence intervals and comparing models for prediction of quantitative <i>Brassica napus</i> and <i>Zea mays</i> phenotypes based on gene expression data. Our method is available in the R-package <i>oosse</i>.
DOI: 10.15468/dl.7h4wnp
title: Occurrence Download

description: A dataset containing 7250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euonymus oxyphyllus Miq."
 ]
}

 The dataset includes 7250 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247364-220831081235567/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.23667967
title: Confidence Distributions for the Autoregressive Parameter

description: The notion of confidence distributions is applied to inference about the parameter in a simple autoregressive model, allowing the parameter to take the value one. This makes it possible to compare to asymptotic approximations in both the stationary and the nonstationary cases at the same time. The main point, however, is to compare to a Bayesian analysis of the same problem. A noninformative prior for a parameter, in the sense of Jeffreys, is given as the ratio of the confidence density and the likelihood. In this way, the similarity between the confidence and noninformative Bayesian frameworks is exploited. It is shown that, in the stationary case, asymptotically the so induced prior is flat. However, if a unit parameter is allowed, the induced prior has to have a spike at one of some size. Simulation studies and two empirical examples illustrate the ideas.
DOI: 10.15468/dl.w36yzy
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus darumbium (Bertero ex Colla) Gay"
 ]
}

 The dataset includes 42 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123294-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ftu88
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is false",
 "TaxonKey is Amaranthus powellii S.Watson"
 ]
}

 The dataset includes 98 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141625-220831081235567/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.23063851.v1
title: Inverse probability weighting estimation in completely randomized experiments

description: In addition to treatment assignments and observed outcomes, covariate information is often available prior to randomization in completely randomized experiments that compare an active treatment versus control. The analysis of covariance (ANCOVA) method is commonly applied to adjust for baseline covariates in order to improve precision. We focus on making propensity score-based adjustment to covariates under the completely randomized design in a finite population of experimental units with two treatment groups. We study inverse probability weighting (IPW) estimation of the finite-population average treatment effect for a general class of working propensity score models, which includes generalized linear models for binary data. We provide randomization-based asymptotic analysis of the propensity score approach and explore the finite-population asymptotic behaviors of two IPW estimators of the average treatment effect. We identify a condition under which propensity score-based covariate adjustment is asymptotically equivalent to an ANCOVA-based covariate adjustment and improves precision compared with a simple unadjusted comparison between treatment and control arms. In particular, when the working propensity score is fitted by a generalized linear model for binary data with an intercept term, the asymptotic variance of the IPW estimators is the same for any link function, including identity link, logit link, probit link, and complementary log-log link. We demonstrate these methods using an HIV clinical trial and a post-traumatic stress disorder study. Finally, we present a simulation study comparing the finite-sample performance of IPW and other methods for both continuous and binary outcomes.
DOI: 10.6084/m9.figshare.23667967.v1
title: Confidence Distributions for the Autoregressive Parameter

description: The notion of confidence distributions is applied to inference about the parameter in a simple autoregressive model, allowing the parameter to take the value one. This makes it possible to compare to asymptotic approximations in both the stationary and the nonstationary cases at the same time. The main point, however, is to compare to a Bayesian analysis of the same problem. A noninformative prior for a parameter, in the sense of Jeffreys, is given as the ratio of the confidence density and the likelihood. In this way, the similarity between the confidence and noninformative Bayesian frameworks is exploited. It is shown that, in the stationary case, asymptotically the so induced prior is flat. However, if a unit parameter is allowed, the induced prior has to have a spike at one of some size. Simulation studies and two empirical examples illustrate the ideas.
DOI: 10.6084/m9.figshare.23978355.v2
title: Likelihood-Free Parameter Estimation with Neural Bayes Estimators

description: Neural Bayes estimators are neural networks that approximate Bayes estimators. They are fast, likelihood-free, and amenable to rapid bootstrap-based uncertainty quantification. In this article, we aim to increase the awareness of statisticians to this relatively new inferential tool, and to facilitate its adoption by providing user-friendly open-source software. We also give attention to the ubiquitous problem of estimating parameters from replicated data, which we address using permutation-invariant neural networks. Through extensive simulation studies we demonstrate that neural Bayes estimators can be used to quickly estimate parameters in weakly identified and highly parameterized models with relative ease. We illustrate their applicability through an analysis of extreme sea-surface temperature in the Red Sea where, after training, we obtain parameter estimates and bootstrap-based confidence intervals from hundreds of spatial fields in a fraction of a second.