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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nematoda",
 "DatasetKey is Données Sologne Nature Environnement 2020",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212818-230224095556074/datasets/export for details.
DOI: 10.15468/dl.h53vsh
title: Occurrence Download

description: A dataset containing 1144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphisbaena alba Linnaeus, 1758"
 ]
}

 The dataset includes 1144 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013138-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49gtcm
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria oaxacana Greenm."
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121683-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn6rd5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nematoda",
 "DatasetKey is Partenariats avec les Parcs Naturels Régionaux-Données CEN M-P partenariats PNR",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212822-230224095556074/datasets/export for details.
DOI: 10.15468/dl.2dah2f
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe paedogona A.Berger"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024346-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w92hr8
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Handroanthus pulcherrimus (Sandwith) S.O.Grose"
 ]
}

 The dataset includes 94 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038408-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4upte
title: Occurrence Download

description: A dataset containing 1182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeoliscus strigatus (Günther, 1861)"
 ]
}

 The dataset includes 1182 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121690-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6r6ap
title: Occurrence Download

description: A dataset containing 4343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU",
 "PublishingOrg is one of (bb646dff-a905-4403-a49b-6d378c2cf0d9, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Nymphalis polychloros (Linnaeus, 1758)"
 ]
}

 The dataset includes 4343 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212820-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk35hd
title: Occurrence Download

description: A dataset containing 3336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nycticorax nycticorax (Linnaeus, 1758)"
 ]
}

 The dataset includes 3336 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011256-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrgsr4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nematoda",
 "DatasetKey is Diagnostic écologique mené en 2020 par le CEN Nouvelle-Aquitaine sur la confluence et le Pech de Berre (47)-Observations faunistiques (inventaire) réalisées par le CEN Nouvelle-Aquitaine",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212821-230224095556074/datasets/export for details.
DOI: 10.15468/dl.km5p5s
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lopezia langmaniae Miranda"
 ]
}

 The dataset includes 95 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013153-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22dqfe
title: Occurrence Download

description: A dataset containing 18186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU",
 "PublishingOrg is one of (c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, bb646dff-a905-4403-a49b-6d378c2cf0d9, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Melanargia galathea Linnaeus, 1758"
 ]
}

 The dataset includes 18186 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212814-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3apkf8
title: Occurrence Download

description: A dataset containing 2390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syngnathus rostellatus Nilsson, 1855"
 ]
}

 The dataset includes 2390 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121722-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/d2g7cc
title: Replication Data for: 'Insurance Versus Moral Hazard in Income-Contingent Student Loan Repayment'

description: The data and programs replicate tables and figures from "Insurance Versus Moral Hazard in Income-Contingent Student Loan Repayment," by Tim de Silva. Please see the README file for additional details.
DOI: 10.22008/fk2/iw73uu/5dykqg
title: MIT_day.nc

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/nejnr6
title: MIT_month.nc

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/dbpoeb
title: NAE_hour.csv

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/v0rekp
title: NAE_day.csv

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/21sq0c
title: NAE_month.csv

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.6084/m9.figshare.30809734
title: A Unified Framework for Estimation of High-Dimensional Conditional Factor Models

description: This article presents a general framework for estimating high-dimensional conditional latent factor models via constrained nuclear norm regularization. We establish large sample properties of the estimators and provide efficient algorithms for their computation. To improve practical applicability, we propose a cross-validation procedure for selecting the regularization parameter. Our framework unifies the estimation of various conditional factor models, enabling the derivation of new asymptotic results while addressing limitations of existing methods, which are often model-specific or restrictive. Empirical analyses of the cross section of individual US stock returns suggest that imposing homogeneity improves the model’s out-of-sample predictability, with our new method outperforming existing alternatives. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.30809734.v2
title: A Unified Framework for Estimation of High-Dimensional Conditional Factor Models

description: This article presents a general framework for estimating high-dimensional conditional latent factor models via constrained nuclear norm regularization. We establish large sample properties of the estimators and provide efficient algorithms for their computation. To improve practical applicability, we propose a cross-validation procedure for selecting the regularization parameter. Our framework unifies the estimation of various conditional factor models, enabling the derivation of new asymptotic results while addressing limitations of existing methods, which are often model-specific or restrictive. Empirical analyses of the cross section of individual US stock returns suggest that imposing homogeneity improves the model’s out-of-sample predictability, with our new method outperforming existing alternatives. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.22008/fk2/iw73uu/psaqp3
title: NAE_hour.nc

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.6084/m9.figshare.30809734.v1
title: A Unified Framework for Estimation of High-dimensional Conditional Factor Models

description: This paper presents a general framework for estimating high-dimensional conditional latent factor models via constrained nuclear norm regularization. We establish large sample properties of the estimators and provide efficient algorithms for their computation. To improve practical applicability, we propose a cross-validation procedure for selecting the regularization parameter. Our framework unifies the estimation of various conditional factor models, enabling the derivation of new asymptotic results while addressing limitations of existing methods, which are often model-specific or restrictive. Empirical analyses of the cross section of individual US stock returns suggest that imposing homogeneity improves the model’s out-of-sample predictability, with our new method outperforming existing alternatives.
DOI: 10.22008/fk2/iw73uu/zkqaah
title: NAE_day.nc

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/16deph
title: NAE_month.nc

description: Uploaded with pyDataverse 2023-11-06 15:42
DOI: 10.22008/fk2/iw73uu/hdh59k
title: NAU_day.csv

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/erb7ri
title: NAU_month.csv

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/hqnvtk
title: NAU_hour.csv

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/sya0gm
title: NAU_hour.nc

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/fehhpt
title: NAU_day.nc

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/whwulj
title: NAU_month.nc

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.22008/fk2/iw73uu/vw1e4f
title: NEM_day.csv

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.6084/m9.figshare.30850401
title: Bayesian Nonparametric Spectral Analysis of Locally Stationary Processes

description: Stationarity plays a pivotal role in time series analysis. It is not only the basis for the derivation of general asymptotic theory but it also allows an efficient analysis in the frequency domain via the Whittle likelihood, based on the asymptotic independence of the Fourier coefficients. However, many regularly sampled data derived from the observation of physical or ecological processes, for instance, are only locally stationary. They exhibit slowly evolving spectra and asymptotically non-vanishing dependencies between the Fourier coefficients. In this article we construct a novel dynamic Whittle likelihood approximation for a locally stationary process and propose a Bayesian nonparametric approach to estimate its time-varying spectral density. This dynamic likelihood approximation in the frequency domain can capture the time-frequency evolution of the process by using moving periodograms previously introduced in the bootstrap literature. The posterior distribution is obtained by updating a bivariate extension of the Bernstein-Dirichlet process prior with the dynamic Whittle likelihood. Asymptotic properties such as sup-norm posterior consistency and L2-norm posterior contraction rates are presented. In addition, simulation studies and applications to real-life datasets demonstrate the competitive empirical performance compared to other state-of-the-art methods under finite-sample conditions. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.22008/fk2/iw73uu/ns8ukf
title: NEM_month.csv

description: Uploaded with pyDataverse 2023-11-06 15:44
DOI: 10.22008/fk2/iw73uu/qqzjnt
title: NEM_hour.csv

description: Uploaded with pyDataverse 2023-11-06 15:43
DOI: 10.6084/m9.figshare.30850401.v2
title: Bayesian Nonparametric Spectral Analysis of Locally Stationary Processes

description: Stationarity plays a pivotal role in time series analysis. It is not only the basis for the derivation of general asymptotic theory but it also allows an efficient analysis in the frequency domain via the Whittle likelihood, based on the asymptotic independence of the Fourier coefficients. However, many regularly sampled data derived from the observation of physical or ecological processes, for instance, are only locally stationary. They exhibit slowly evolving spectra and asymptotically non-vanishing dependencies between the Fourier coefficients. In this article we construct a novel dynamic Whittle likelihood approximation for a locally stationary process and propose a Bayesian nonparametric approach to estimate its time-varying spectral density. This dynamic likelihood approximation in the frequency domain can capture the time-frequency evolution of the process by using moving periodograms previously introduced in the bootstrap literature. The posterior distribution is obtained by updating a bivariate extension of the Bernstein-Dirichlet process prior with the dynamic Whittle likelihood. Asymptotic properties such as sup-norm posterior consistency and L2-norm posterior contraction rates are presented. In addition, simulation studies and applications to real-life datasets demonstrate the competitive empirical performance compared to other state-of-the-art methods under finite-sample conditions. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.22008/fk2/iw73uu/occttx
title: NEM_hour.nc

description: Uploaded with pyDataverse 2023-11-06 15:44
DOI: 10.6084/m9.figshare.30850401.v1
title: Bayesian nonparametric spectral analysis of locally stationary processes*

description: Stationarity plays a pivotal role in time series analysis. It is not only the basis for the derivation of general asymptotic theory but it also allows an efficient analysis in the frequency domain via the Whittle likelihood, based on the asymptotic independence of the Fourier coefficients. However, many regularly sampled data derived from the observation of physical or ecological processes, for instance, are only locally stationary. They exhibit slowly evolving spectra and asymptotically non-vanishing dependencies between the Fourier coefficients. In this paper we construct a novel dynamic Whittle likelihood approximation for a locally stationary process and propose a Bayesian nonparametric approach to estimate its time-varying spectral density. This dynamic likelihood approximation in the frequency domain can capture the time-frequency evolution of the process by using moving periodograms previously introduced in the bootstrap literature. The posterior distribution is obtained by updating a bivariate extension of the Bernstein-Dirichlet process prior with the dynamic Whittle likelihood. Asymptotic properties such as sup-norm posterior consistency and L2-norm posterior contraction rates are presented. In addition, simulation studies and applications to real-life datasets demonstrate the competitive empirical performance compared to other state-of-the-art methods under finite-sample conditions.
DOI: 10.22008/fk2/iw73uu/swjnhm
title: NEM_day.nc

description: Uploaded with pyDataverse 2023-11-06 15:44
DOI: 10.22008/fk2/iw73uu/qw21hz
title: NEM_month.nc

description: Uploaded with pyDataverse 2023-11-06 15:44
DOI: 10.15468/dl.rjfr4t
title: Occurrence Download

description: A dataset containing 3089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Gentiana pneumonanthe",
 "Year 2020-2020"
 ]
}

 The dataset includes 3089 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024416-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dfhxz
title: Millipede and centipede assemblages on the northern and southern slopes of the lowland Altais, southwestern Siberia, Russia (Diplopoda, Chilopoda)
DOI: 10.15468/dl.2y5pkm
title: Occurrence Download

description: A dataset containing 3065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bivalvia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 10,130 10,130 20,120 20,120 10))"
 ]
}

 The dataset includes 3065 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024278-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c24hmj
title: Occurrence Download

description: A dataset containing 25846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passeriformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((160 -20,170 -20,170 -10,160 -10,160 -20))"
 ]
}

 The dataset includes 25846 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024276-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kre347
title: Occurrence Download

description: A dataset containing 16528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 16528 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024275-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spn9vv
title: Occurrence Download

description: A dataset containing 13459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Suliformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((40 40,50 40,50 50,40 50,40 40))"
 ]
}

 The dataset includes 13459 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024277-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rysrbb
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosopis juliflora",
 "Country is Sudan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005878-250717081556266/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/12506499
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.8gegdz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliotropium curassavicum",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005877-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5kbzn
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba remotiflora"
 ]
}

 The dataset includes 9 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5uxf9
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isatis undulata"
 ]
}

 The dataset includes 31 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005879-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krwvwf
title: Occurrence Download

description: A dataset containing 3574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potentilla intermedia",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3574 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005882-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.