cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u25xb2
title: Occurrence Download

description: A dataset containing 7308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Mythimna pallens Linnaeus, 1758"
 ]
}

 The dataset includes 7308 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008750-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9cs9z
title: Occurrence Download

description: A dataset containing 14457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Celastrina argiolus (Linnaeus, 1758)"
 ]
}

 The dataset includes 14457 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008751-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13tkja6
title: Southern Beaufort Sea Polar Bear Mark Recapture Data, 2000-2023

description: This dataset is one table with data collected and derived from polar bears sampled in Alaska from the Southern Beaufort Sea subpopulation during 2000-2023. Collected data includes individual identity, location of observation, observation type, estimated birth year, and demographic information. Data were collected from polar bears that were captured, remotely sampled using biopsy darts, non-invasively sampled using hair-snags, and observed but not sampled. The data will be used, in conjunction with similar data collected in Canada, to estimate the abundance of polar bears from the Southern Beaufort Sea and Northern Beaufort Sea subpopulations from 2001-2023.
DOI: 10.25934/00003060
title: A Multicenter Study of the Efficacy and Safety of the Human Anti-TNF Monoclonal Antibody Adalimumab in Subjects With Peripheral Spondyloarthritis

description: The objective of this study was to evaluate the efficacy and safety of adalimumab 40 mg administered every other week (eow) subcutaneously (SC) compared to placebo for 12 weeks followed by open label (OL) safety and efficacy assessments in participants with non-ankylosing spondylitis (AS), non-psoriatic arthritis (PsA) active peripheral spondyloarthritis (SpA) who have had an inadequate response to >= 2 non-steroidal anti-inflammatory drugs (NSAIDs), or are intolerant to, or have a contraindication for, NSAIDs.
DOI: 10.15468/dl.py2gxs
title: Occurrence Download

description: A dataset containing 795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, El Salvador, Costa Rica, Guatemala, Honduras, Nicaragua, Belize, Panama)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Casimiroa edulis La Llave & Lex."
 ]
}

 The dataset includes 795 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008753-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5znda9
title: Occurrence Download

description: A dataset containing 27364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "Year is 1972"
 ]
}

 The dataset includes 27364 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008752-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nq2kk
title: Occurrence Download

description: A dataset containing 1447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Hypsopygia costalis Fabricius, 1775"
 ]
}

 The dataset includes 1447 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008754-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jq4xa
title: Occurrence Download

description: A dataset containing 2955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agrochola macilenta Hübner, 1809"
 ]
}

 The dataset includes 2955 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008756-250426092105405/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/11630848
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.txargg
title: Occurrence Download

description: A dataset containing 27022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "Year is 1973"
 ]
}

 The dataset includes 27022 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008757-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbau8w
title: Occurrence Download

description: A dataset containing 2961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Tiliacea citrago Linnaeus, 1758"
 ]
}

 The dataset includes 2961 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008758-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15306157
title: Assessing GHG Emissions Implications of Forest Residue Use for Energy Production
DOI: 10.5281/zenodo.15306158
title: Assessing GHG Emissions Implications of Forest Residue Use for Energy Production
DOI: 10.3886/e226101v1
title: Index of Relative Rurality (IRR) for Multiple Geographies

description: This project introduces researchers and other users to the Index of Relative Rurality
(IRR), a continuous, multi-dimensional, and scalable measure for characterizing
the rurality of areas or regions in the United States. First proposed by Waldorf in 2006,[1] and
later operationalized by Waldorf & Kim,[2,3] the IRR is an alternative to
categorical measures such as the Rural-Urban Continuum Codes (RUCC),
Rural-Urban Commuting Areas (RUCA), and Frontier and Remote (FAR) Codes, or
binary classifications researchers derive from them. We are distributing these data because IRR
values for some of these US geographies have not been available previously, and
because we want to clearly and fully document the data sources and methods
necessary to calculate the IRR. <br><br>1. Waldorf, B.S., 2006. A continuous
multi-dimensional measure of rurality: Moving beyond threshold measures.
Accessed 3/26/2025 at https://ageconsearch.umn.edu/record/21383?v=pdf. <br>

2. Waldorf, B. and Kim, A., 2015.
Defining and measuring rurality in the US: From typologies to continuous
indices. In Commissioned paper presented at
the Workshop on Rationalizing Rural Area Classifications, Washington, DC. Accessed 3/26/2025 at http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf. <br>

3. Kim, A. and Waldorf, B., 2023. The
Index of Relative Rurality (IRR): US County Data for 2020. Accessed 3/26/2025
at https://zenodo.org/records/7675745. DOI: 10.5281/zenodo.7675745<br>
description: Smallest Geographic Unit: Counties, census tracts, zip code tabulation areas (ZCTAs) and 3-digit ZCTAs
DOI: 10.5281/zenodo.15313076
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250430s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250430s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15313077
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250430s Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250430s Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.8n8gjx
title: Occurrence Download

description: A dataset containing 4854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Nomada panzeri Lepeletier, 1841"
 ]
}

 The dataset includes 4854 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008759-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j776b3
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Cydia amplana (Hübner, 1796-1799)"
 ]
}

 The dataset includes 152 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008761-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtez4h
title: Occurrence Download

description: A dataset containing 26628 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachnida",
 "Year is 1974"
 ]
}

 The dataset includes 26628 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008760-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez3q8n
title: Occurrence Download

description: A dataset containing 1366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Azerbaijan",
 "Geometry POLYGON((48.48574 41.72397,48.84591 41.3407,48.90461 41.61491,48.96605 41.85651,48.50827 41.91287,48.48574 41.72397))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1366 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008762-250426092105405/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.28908299
title: Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface

description: In medical imaging studies, scalar-on-image regression presents significant challenges due to limited sample sizes and the high-dimensionality of datasets. Additionally, imaging predictors often exhibit spatially heterogeneous activation patterns and complex nonlinear associations with the response variable. To address these issues, we propose a novel Bayesian scalar-on-image regression model with the Spatial Adaptive Selection using Binary Conditional Autoregressive Model (SAS-BCAR) prior. The proposed approach leverages a binary conditional autoregressive model to capture spatial dependencies among feature selection indicators, effectively identifying spatially structured sparsity patterns within image data, while addressing nonlinear relationships between image predictors and the response variable. Furthermore, our SAS-BCAR incorporates an adaptive feature selection mechanism that adjusts to varying spatial dependencies across different image regions, ensuring a more precise and robust feature selection process. Through extensive numerical simulations on benchmark computer vision datasets and analysis of electroencephalography data in brain-computer interface applications, we demonstrate that the SAS-BCAR model achieves superior predictive performance compared to state-of-the-art alternatives, particularly in scenarios with limited training data. Supplementary materials including computer code, R packages, datasets, and additional figures are available online.
DOI: 10.6084/m9.figshare.28908299.v1
title: Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface

description: In medical imaging studies, scalar-on-image regression presents significant challenges due to limited sample sizes and the high-dimensionality of datasets. Additionally, imaging predictors often exhibit spatially heterogeneous activation patterns and complex nonlinear associations with the response variable. To address these issues, we propose a novel Bayesian scalar-on-image regression model with the Spatial Adaptive Selection using Binary Conditional Autoregressive Model (SAS-BCAR) prior. The proposed approach leverages a binary conditional autoregressive model to capture spatial dependencies among feature selection indicators, effectively identifying spatially structured sparsity patterns within image data, while addressing nonlinear relationships between image predictors and the response variable. Furthermore, our SAS-BCAR incorporates an adaptive feature selection mechanism that adjusts to varying spatial dependencies across different image regions, ensuring a more precise and robust feature selection process. Through extensive numerical simulations on benchmark computer vision datasets and analysis of electroencephalography data in brain-computer interface applications, we demonstrate that the SAS-BCAR model achieves superior predictive performance compared to state-of-the-art alternatives, particularly in scenarios with limited training data. Supplementary materials including computer code, R packages, datasets, and additional figures are available online.
DOI: 10.15468/dl.6szea4
title: Occurrence Download

description: A dataset containing 3838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Andrena fulva (Müller, 1766)"
 ]
}

 The dataset includes 3838 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008765-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6wzr7
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies chensiensis Tiegh."
 ]
}

 The dataset includes 330 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094796-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12545634
title: Dataset: ATA Creativity Global (AACG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545635
title: Dataset: ATA Creativity Global (AACG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.egajdf
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Geometry POLYGON((-5.62507 56.26541,-5.62288 56.26481,-5.62182 56.26614,-5.61666 56.26825,-5.61713 56.26944,-5.61243 56.27156,-5.6117 56.27632,-5.61832 56.27685,-5.62507 56.26541))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 1990-2024"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094797-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12545640
title: Dataset: Armada Acquisition Corp. I (AACI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545641
title: Dataset: Armada Acquisition Corp. I (AACI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.m99c4q
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aquilaria khasiana H.Hallier"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094798-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phvkmp
title: Occurrence Download

description: A dataset containing 483933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula pubescens Ehrh."
 ]
}

 The dataset includes 483933 records from 1122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094792-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12545520
title: dREMA-CAN-03-II

description: These are the data sets of the scientific report "Evaluación del estado actual de los recursos submareales de Canarias: Tenerife y La Gomera (REMA-CAN-3-II)" written by ECOMAR research team from the Universidad de La Laguna, Tenerife, Canary Islands, Spain. IP. José Carlos Hernández
DOI: 10.5281/zenodo.12545521
title: dREMA-CAN-03-II

description: These are the data sets of the scientific report "Evaluación del estado actual de los recursos submareales de Canarias: Tenerife y La Gomera (REMA-CAN-3-II)" written by ECOMAR research team from the Universidad de La Laguna, Tenerife, Canary Islands, Spain. IP. José Carlos Hernández
DOI: 10.15468/dl.yn54gq
title: Occurrence Download

description: A dataset containing 1327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rugulopteryx okamurae (E.Y.Dawson) I.K.Hwang, W.J.Lee & H.S.Kim, 2009"
 ]
}

 The dataset includes 1327 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094801-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12545713
title: Dataset: ATA Creativity Global (AACG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545714
title: Dataset: ATA Creativity Global (AACG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545718
title: Dataset: Armada Acquisition Corp. I (AACI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545719
title: Dataset: Armada Acquisition Corp. I (AACI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545720
title: Dataset: Armada Acquisition Corp. I (AACIU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12545721
title: Dataset: Armada Acquisition Corp. I (AACIU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.