cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gc3hex
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pycnoderes quadrimaculatus Guerin-Meneville, 1857"
 ]
}

 The dataset includes 126 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023706-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7u9ks
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "TaxonKey is Chenopodium karoi (Murr) Aellen",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024057-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94rlz4
title: Occurrence Download

description: A dataset containing 9775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9775 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005801-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahutu9
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cucurbita pepo var. ozarkana Deck.-Walt."
 ]
}

 The dataset includes 78 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107410-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgelul
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sarcostemma hirtellum (A.Gray ex Brewer & S.Watson) R.W.Holm",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004135-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpagfn
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ROU",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Zamenis longissimus (Laurenti, 1768)",
 "TaxonKey is Zamenis longissima Venchi & Sindaco, 2006",
 "TaxonKey is Elaphe longissima Laurenti, 1768"
 ]
 }
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0153610-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk5mns
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nannopsittaca panychlora (Salvin & Godman, 1883)"
 ]
}

 The dataset includes 468 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064263-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgr5q5
title: Occurrence Download

description: A dataset containing 27410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coccyzus americanus (Linnaeus, 1758)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020",
 "Month is greater than or equal to June",
 "Month is less than or equal to August",
 "DecimalLatitude is greater than or equal to 30",
 "DecimalLatitude is less than or equal to 35",
 "DecimalLongitude is greater than or equal to -89",
 "DecimalLongitude is less than or equal to -75"
 ]
}

 The dataset includes 27410 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0310224-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvcqa0
title: Occurrence Download

description: A dataset containing 2482859 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 45.0690473800183",
 "DecimalLatitude is less than 48.6525404462528",
 "DecimalLongitude is greater than -117.919250310567",
 "DecimalLongitude is less than -108.802547437211"
 ]
}

 The dataset includes 2482859 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004135-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymrrfm
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ROU",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Zootoca vivipara (Lichtenstein, 1823)",
 "TaxonKey is Zootoca vivipara (Jacquin, 1787)",
 "TaxonKey is Lacerta vivipara Von Jacquin",
 "TaxonKey is Lacerta vivipara Lichtenstein, 1823"
 ]
 }
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0153613-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vm2v59
title: Occurrence Download

description: A dataset containing 22676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aethopyga siparaja (Raffles, 1822)"
 ]
}

 The dataset includes 22676 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293745-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pesx0m
title: Occurrence Download

description: A dataset containing 42681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydrocharis L.",
 {
 "or" : [
 "Geometry POLYGON((71.71875 58.813741,71.71875 7.710991,146.953124 7.710991,146.953124 58.813741,71.71875 58.813741))",
 "Geometry POLYGON((-8.4375 67.339860,-8.4375 -37.718590,70.3125 -37.718590,70.3125 67.339860,-8.4375 67.339860))"
 ]
 }
 ]
}

 The dataset includes 42681 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072623-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.caaqte
title: Occurrence Download

description: A dataset containing 1124668 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adoxaceae"
 ]
}

 The dataset includes 1124668 records from 1512 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004135-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-12575
title: Put' = Voie = [The way], no. 34 (July 1932)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.dn9mvx
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-78.36182 -47.63916,-76.0669 -53.93799,-67.66113 -57.48535,-56.48682 -53.10791,-47.75208 -26.48499,-47.88117 -25.11597,-49.37653 -24.21051,-49.5221 -22.99378,-51.0846 -22.70081,-53.39173 -22.40784,-54.27063 -23.86047,-55.11963 -23.66455,-55.44068 -22.03735,-57.78443 -21.9397,-57.61353 -20.81665,-58.04932 -19.51416,-60.1001 -18.78174,-61.90003 -19.50256,-62.81372 -21.30493,-64.49829 -22.18384,-66.52466 -21.67114,-67.35474 -22.55005,-67.88147 -21.67542,-67.96692 -19.99085,-69.11255 -17.52075,-69.91455 -17.41455,-70.45166 -18.39111,-78.36182 -47.63916))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Moscharia solbrigii Crisci",
 "TaxonKey is Moscharia pinnatifida Ruiz & Pav."
 ]
 }
 ]
}

 The dataset includes 34 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0347750-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77pebg
title: Occurrence Download

description: A dataset containing 6963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Herpestes auropunctatus (Hodgson, 1836))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6963 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069275-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-13593
title: Put' = Voie = [The way], no. 47 (April-June 1935)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.bkrpv3
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hyperolius puncticulatus (Pfeffer, 1893), Hyperolius punctulatus (Bocage, 1895))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 664 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069290-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-13641
title: Put' = Voie = [The way], no. 47 (April-June 1935)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.z92s5v
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruschia canonotata Schwantes"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107730-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-11254
title: Put' = Voie = [The way], no. 22 (June 1930)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.w2ed4d
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia punctata Ruiz & Pav."
 ]
}

 The dataset includes 92 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110453-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-219437
title: The Magazine of the Romanian Pentecostal Church, 1956, vol. 4, no. 1 = Buletinul Cultului Penticostal din Romania, 1956, anul IV, nr 1

description: [description english/roman)] The Magazine of the Pentecostal Church is the periodical, official publication of the Romanian Pentecostal Church during communist times. It has been published between 1953 and 1989.
DOI: 10.15468/dl.3zs4bq
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplundia guianensis Harling"
 ]
}

 The dataset includes 20 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069395-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sntkeq
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abarema barbouriana (Standl.) Barneby & J.W.Grimes"
 ]
}

 The dataset includes 305 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0251392-210914110416597/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.23912002
title: Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models

description: Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.
DOI: 10.6084/m9.figshare.23912002.v1
title: Sequential Bayesian experimental design for calibration of expensive simulation models

description: Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.
DOI: 10.6084/m9.figshare.23912002.v2
title: Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models

description: Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator of the simulation model built on simulation output at different parameter settings. Using intelligent and adaptive selection of parameters to build the emulator can drastically improve the efficiency of the calibration process. The article proposes a sequential framework with a novel criterion for parameter selection that targets learning the posterior density of the parameters. The emergent behavior from this criterion is that exploration happens by selecting parameters in uncertain posterior regions while simultaneously exploitation happens by selecting parameters in regions of high posterior density. The advantages of the proposed method are illustrated using several simulation experiments and a nuclear physics reaction model.
DOI: 10.6084/m9.figshare.24487260
title: A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data

description: In some practical circumstances, data are recorded after the systems have begun operations, and data collection is stopped at a predetermined time or after a predetermined number of failures. In such circumstances, incompleteness of various types exists in the aspect of the missing number of failures and their occurrence times beyond the duration of the pilot study. Additionally, multiple repairable systems may present system-to-system variability caused by differences in the operating environments or working loads of individual systems. With respect to left-truncated and right-censored recurrent failure data from multiple repairable systems, we propose a reliability model based on a proportional intensity model with frailty. The frailty model explicitly models unobserved heterogeneity among systems. Covariates incorporated into the proportional intensity model additionally account for the heterogeneity between different operating conditions. To estimate the model parameters for the left-truncated and right-censored recurrent failure data, a Monte Carlo expectation maximization algorithm is proposed. Details of the estimation of the model parameters and the construction of their confidence intervals are examined. A real-world example and simulation studies under various scenarios show prominent applications of the proportional intensity model with frailty to left-truncated and right-censored multiple repairable systems for reliability prediction.
DOI: 10.6084/m9.figshare.24487260.v1
title: A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data

description: In some practical circumstances, data are recorded after the systems have begun operations, and data collection is stopped at a predetermined time or after a predetermined number of failures. In such circumstances, incompleteness of various types exists in the aspect of the missing number of failures and their occurrence times beyond the duration of the pilot study. Additionally, multiple repairable systems may present system-to-system variability caused by differences in the operating environments or working loads of individual systems. With respect to left-truncated and right-censored recurrent failure data from multiple repairable systems, we propose a reliability model based on a proportional intensity model with frailty. The frailty model explicitly models unobserved heterogeneity among systems. Covariates incorporated into the proportional intensity model additionally account for the heterogeneity between different operating conditions. To estimate the model parameters for the left-truncated and right-censored recurrent failure data, a Monte Carlo expectation maximization algorithm is proposed. Details of the estimation of the model parameters and the construction of their confidence intervals are examined. A real-world example and simulation studies under various scenarios show prominent applications of the proportional intensity model with frailty to left-truncated and right-censored multiple repairable systems for reliability prediction.
DOI: 10.6084/m9.figshare.24851319
title: A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling

description: In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling. Contrary to the global, and local approximations proposed in the literature to address the computational bottleneck with exact GP modeling, we employ a combined global-local approach in building the approximation. Our framework uses a subset-of-data approach where the subset is a union of a set of global points designed to capture the global trend in the data, and a set of local points specific to a given testing location to capture the local trend around the testing location. The correlation function is also modeled as a combination of a global, and a local kernel. The predictive performance of our framework, which we refer to as TwinGP, is comparable to the state-of-the-art GP modeling methods, but at a fraction of their computational cost.
DOI: 10.6084/m9.figshare.24851319.v1
title: A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling

description: In this work, we propose a novel framework for large-scale Gaussian process (GP) modeling. Contrary to the global, and local approximations proposed in the literature to address the computational bottleneck with exact GP modeling, we employ a combined global-local approach in building the approximation. Our framework uses a subset-of-data approach where the subset is a union of a set of global points designed to capture the global trend in the data, and a set of local points specific to a given testing location to capture the local trend around the testing location. The correlation function is also modeled as a combination of a global, and a local kernel. The predictive performance of our framework, which we refer to as TwinGP, is comparable to the state-of-the-art GP modeling methods, but at a fraction of their computational cost.
DOI: 10.6084/m9.figshare.24128553
title: Signal Classification in Large-Scale Multi-Sequence Integrative Analysis Under the HMM Dependence

description: The integrative analysis of multiple sequences of multiple tests has enjoyed increasing popularity in many applications, especially in large-scale genomics. In the context of large-scale multiple testing, the concept of signal classification has been developed recently for cases when the same features are involved in several independent studies, with the goal of classifying each feature into one of several classes. This article considers the problem of such signal classification in a generalized compound decision-making framework, where the observed data are assumed to be generated from an underlying four-state Cartesian hidden Markov model. Two oracle procedures are proposed for the total and set-specific control of misclassification rates, respectively, while the number of correct classifications is maximized. Optimal data-driven procedures are also proposed, with their asymptotic properties derived. It is shown that signal-classification could be improved significantly by taking into account the dependence structure among features, and the proposed procedures could have a better performance than their competitors that ignore the dependence structure. The proposed methods are applied to a psychiatric genetics study for detecting genetic variants that affect either or both of bipolar disorder and schizophrenia.
DOI: 10.25549/pcra-c14-219260
title: The Magazine of the Romanian Pentecostal Church, 1955, vol. 3, no. 2 = Buletinul Cultului Penticostal din Romania, 1955, anul III, nr 2

description: [description english/roman)] The Magazine of the Pentecostal Church is the periodical, official publication of the Romanian Pentecostal Church during communist times. It has been published between 1953 and 1989.