cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r6cbjz
title: Occurrence Download

description: A dataset containing 91416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.9.2_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 91416 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016941-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kvaeb
title: Occurrence Download

description: A dataset listing the 853 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is DOF/BirdLife Denmark - Observations from DOFbasen"
 ]
}

 The dataset's 853 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016935-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev9k7u
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Dominican Republic, Haiti)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selaginellaceae"
 ]
}

 The dataset includes 116 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016942-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j68gpy
title: Occurrence Download

description: A dataset containing 11048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.9.12_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11048 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016943-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/fczq-ch15
title: FIRED Philippines Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for PHILIPPINES from November 2000 to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5281/zenodo.14171316
title: Data and code for "Topography and climate drive recent shifts in vegetation productivity dynamics"

description: This zip file includes data and code for manuscript "Topography and climate drive recent shifts in vegetation productivity dynamics".
DOI: 10.5281/zenodo.14171317
title: Data and code for "Topography and climate drive recent shifts in vegetation productivity dynamics"

description: This zip file includes data and code for manuscript "Topography and climate drive recent shifts in vegetation productivity dynamics".
DOI: 10.15468/dl.ftsw2z
title: Occurrence Download

description: A dataset containing 1677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-91.62208 28.92026,-84.20483 28.92026,-84.20483 34.6748,-91.62208 34.6748,-91.62208 28.92026))",
 "TaxonKey is Lobelia cardinalis L."
 ]
}

 The dataset includes 1677 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016945-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/e1ch-vw38
title: FIRED Poland Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for POLAND from November 2000 to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.6084/m9.figshare.26417514
title: Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials

description: In this case study, we illustrate the use of a data-driven degradation model in a nuclear-specific application called void swelling. Void swelling is a complex, radiation-induced degradation mechanism that changes the dimensions of materials and damages the structural integrity. Accurate modeling and prediction of void swelling processes is crucial in nuclear power plant (NPP) management and maintenance planning by providing a guideline on the future state of the materials subject to reactor irradiation. Using a Bayesian hierarchical piecewise linear regression framework with a real-world void swelling dataset, we address the following three research questions: (1) How can we construct a data-driven degradation model such that its predictions satisfy the physical properties of void swelling? (2) How can we measure the joint effect of multiple experimental factors on the swelling process? (3) How can we accurately predict the future swelling status under limited data availability? The results on a real-world void swelling dataset not only improve our understanding of the swelling process but also provide a useful reference for nuclear practitioners and degradation researchers.
DOI: 10.6084/m9.figshare.26417514.v1
title: Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials

description: In this case study, we illustrate the use of a data-driven degradation model in a nuclear-specific application called void swelling. Void swelling is a complex, radiation-induced degradation mechanism that changes the dimensions of materials and damages the structural integrity. Accurate modeling and prediction of void swelling processes is crucial in nuclear power plant (NPP) management and maintenance planning by providing a guideline on the future state of the materials subject to reactor irradiation. Using a Bayesian hierarchical piecewise linear regression framework with a real-world void swelling dataset, we address the following three research questions: (1) How can we construct a data-driven degradation model such that its predictions satisfy the physical properties of void swelling? (2) How can we measure the joint effect of multiple experimental factors on the swelling process? (3) How can we accurately predict the future swelling status under limited data availability? The results on a real-world void swelling dataset not only improve our understanding of the swelling process but also provide a useful reference for nuclear practitioners and degradation researchers.
DOI: 10.6084/m9.figshare.27057639
title: Reliability estimation following a field intervention

description: Comparison of life distributions is a common problem in product reliability applications. These comparisons are used to assess new materials, evaluate alternative designs, and make competitive product analysis. A standard comparison involves independent samples of life data from multiple populations. The case study application of this paper deals with a newly designed brush for wind power generators. The level of stress exerted on some of the in-service brushes was deemed too high and was reduced through field intervention. It is desired to assess the effect of stress adjustment on brush life. The standard methodology for comparing the before and after field adjustment samples could not be applied because the samples were not independent. We use the cumulative damage framework to develop a statistical model for brush life. The application of the model to the brush problem provided maximum likelihood estimates of life distributions before and after the change in the stress level. Additionally, the analyses revealed important insights in support of the engineering investigation into the underlying failure modes. We discuss possible extensions of the proposed approach.
DOI: 10.6084/m9.figshare.27057639.v1
title: Reliability estimation following a field intervention

description: Comparison of life distributions is a common problem in product reliability applications. These comparisons are used to assess new materials, evaluate alternative designs, and make competitive product analysis. A standard comparison involves independent samples of life data from multiple populations. The case study application of this paper deals with a newly designed brush for wind power generators. The level of stress exerted on some of the in-service brushes was deemed too high and was reduced through field intervention. It is desired to assess the effect of stress adjustment on brush life. The standard methodology for comparing the before and after field adjustment samples could not be applied because the samples were not independent. We use the cumulative damage framework to develop a statistical model for brush life. The application of the model to the brush problem provided maximum likelihood estimates of life distributions before and after the change in the stress level. Additionally, the analyses revealed important insights in support of the engineering investigation into the underlying failure modes. We discuss possible extensions of the proposed approach.
DOI: 10.6084/m9.figshare.27769771
title: Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design

description: In computer experiments, Gaussian process (GP) models are commonly used for emulation. However, when both qualitative and quantitative factors are in the experiments, emulation using GP models becomes challenging. In particular, when the qualitative factors contain many categories in the experiments, existing methods in the literature become cumbersome due to the curse of dimensionality. Motivated by the computer experiments for the design of a cooling system, a new tree-based GP is proposed that emulates computer models with many-category qualitative factors, which we call <i>category tree GP</i>. The proposed method incorporates a tree structure to split the categories of the qualitative factors, and GP or mixed-input GP models are employed for modeling the simulation outputs in the leaf nodes. The splitting rule takes into account the cross-correlations between the categories of the qualitative factors, which have been shown by a recent theoretical study to be a crucial element for improving the prediction accuracy. In addition, a pruning procedure based on the cross-validation error is proposed to ensure the prediction accuracy. The application to the design of a cooling system indicates that the proposed method not only enjoys marked computational advantages and produces accurate predictions, but also provides valuable insights into the cooling system by discovering the tree structure.
DOI: 10.6084/m9.figshare.27769771.v1
title: Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design

description: In computer experiments, Gaussian process (GP) models are commonly used for emulation. However, when both qualitative and quantitative factors are in the experiments, emulation using GP models becomes challenging. In particular, when the qualitative factors contain many categories in the experiments, existing methods in the literature become cumbersome due to the curse of dimensionality. Motivated by the computer experiments for the design of a cooling system, a new tree-based GP is proposed that emulates computer models with many-category qualitative factors, which we call <i>category tree GP</i>. The proposed method incorporates a tree structure to split the categories of the qualitative factors, and GP or mixed-input GP models are employed for modeling the simulation outputs in the leaf nodes. The splitting rule takes into account the cross-correlations between the categories of the qualitative factors, which have been shown by a recent theoretical study to be a crucial element for improving the prediction accuracy. In addition, a pruning procedure based on the cross-validation error is proposed to ensure the prediction accuracy. The application to the design of a cooling system indicates that the proposed method not only enjoys marked computational advantages and produces accurate predictions, but also provides valuable insights into the cooling system by discovering the tree structure.
DOI: 10.15468/dl.tavw6p
title: Occurrence Download

description: A dataset containing 65733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "IucnRedListCategory is CR",
 "TaxonKey is Aves",
 "Year 1980-2024"
 ]
}

 The dataset includes 65733 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016948-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tema8h
title: Occurrence Download

description: A dataset containing 11519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amanita muscaria (L.) Lam.",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 11519 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016949-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v58a6
title: Occurrence Download

description: A dataset containing 1371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.64236 41.0348,-8.64663 40.99849,-8.61352 40.99229,-8.61515 41.02299,-8.64236 41.0348))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1371 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016950-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11519171
title: Supporting data for "Neural Network-Based Interatomic Potential for the Study of Thermal and Mechanical Properties of Siliceous Zeolites"
DOI: 10.5281/zenodo.11519172
title: Supporting data for "Neural Network-Based Interatomic Potential for the Study of Thermal and Mechanical Properties of Siliceous Zeolites"
DOI: 10.15468/dl.qefrav
title: Occurrence Download

description: A dataset containing 2969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasyochloa pulchella Willd."
 ]
}

 The dataset includes 2969 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016951-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpen6j
title: Occurrence Download

description: A dataset listing the 30552 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Norwegian Species Observation Service"
 ]
}

 The dataset's 30552 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016947-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uecwz
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 132 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016953-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29uwf9
title: Occurrence Download

description: A dataset containing 93728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.06618 49.25323,-123.05935 49.25232,-123.05891 49.25894,-123.066 49.25909,-123.0662 49.25537,-123.06618 49.25323))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93728 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016952-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm48bp
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016957-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezww2m
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016955-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdahyn
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016956-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8a6pxu
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016961-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cxcf8
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016962-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9dujm
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016959-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzxau8
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016960-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.by83a6
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016963-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2hcu6
title: Occurrence Download

description: A dataset containing 7815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 7815 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016964-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.