cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7ascny
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mastofauna presente en el Alto del Buey, Bahía Solano, Chocó"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023931-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsehs5
title: Occurrence Download

description: A dataset containing 5594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metallura williami (Delattre & Bourcier, 1846)"
 ]
}

 The dataset includes 5594 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036904-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmhcyd
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "TaxonKey is Columba punicea Blyth, 1842"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015756-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49zzfs
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luzula divaricata S.Watson"
 ]
}

 The dataset includes 358 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018417-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zgcbd
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-61.17476 -51.05848, -61.20403 -51.04924, -61.21382 -51.03874, -61.25323 -51.02429, -61.24968 -51.01285, -61.21917 -51.02341, -61.20645 -51.03674, -61.17897 -51.04355, -61.17476 -51.05848))"
 ]
}

 The dataset includes 190 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041084-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmh694
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aztecanthidium Michener & Ordway, 1964",
 "Year 1960-2021"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293553-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skboxy
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupatorium rugosum Humb. et al."
 ]
}

 The dataset includes 209 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015763-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dddvwc
title: Occurrence Download

description: A dataset containing 1896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flaveria trinervia (Spreng.) C.Mohr",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1896 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036175-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8paug
title: Occurrence Download

description: A dataset containing 12064 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bison (Linnaeus, 1758)"
 ]
}

 The dataset includes 12064 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041084-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwztsm
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Scapanus townsendii (Bachman, 1839)"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302001-200613084148143/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.21263192
title: Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis

description: Data integration plays a crucial role in the era of big data. The <i>nested data</i> are a combined set of observations from multiple sources and exhibit heterogeneity both at the source level and at the observational level. The complex nature makes it challenging to reasonably visualize and jointly analyze the nested data. In this article, we present a nonparametric Bayesian model to implement the <i>tree-structured two-level clustering</i> for nested data analysis. The two-level clustering is used to tease out the heterogeneity existing in the sources and observations, while a tree-structured prior is employed to model the latent hierarchy for clusters at the observational level. The proposed Bayesian model is flexible as it does not require an exact specification of cluster numbers or tree width/depth, and it can automatically learn the underlying tree structures among clusters of observations, thus, offering an insightful visualization of the nested data. We further provide a rigorous posterior sampling scheme via the partially collapsed Gibbs sampler and show the performance of the proposed method using simulation studies. Finally, the applications to two different types of nested data (multi-source image data and multi-subject single-cell expression data) demonstrate the advantages of the proposed Bayesian method. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.21263192.v1
title: Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis

description: Data integration plays a crucial role in the era of big data. The <i>nested data</i> are a combined set of observations from multiple sources and exhibit heterogeneity both at the source level and at the observational level. The complex nature makes it challenging to reasonably visualize and jointly analyze the nested data. In this paper, we present a nonparametric Bayesian model to implement the <i>tree-structured two-level clustering</i> for nested data analysis. The two-level clustering is used to tease out the heterogeneity existing in the sources and observations, while a tree-structured prior is employed to model the latent hierarchy for clusters at the observational level. The proposed Bayesian model is flexible as it does not require an exact specification of cluster numbers or tree width/depth, and it can automatically learn the underlying tree structures among clusters of observations, thus offering an insightful visualization of the nested data. We further provide a rigorous posterior sampling scheme via the partially collapsed Gibbs sampler and show the performance of the proposed method using simulation studies. Finally, the applications to two different types of nested data (multi-source image data and multi-subject single-cell expression data) demonstrate the advantages of the proposed Bayesian method.
DOI: 10.6084/m9.figshare.21263192.v2
title: Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis

description: Data integration plays a crucial role in the era of big data. The <i>nested data</i> are a combined set of observations from multiple sources and exhibit heterogeneity both at the source level and at the observational level. The complex nature makes it challenging to reasonably visualize and jointly analyze the nested data. In this article, we present a nonparametric Bayesian model to implement the <i>tree-structured two-level clustering</i> for nested data analysis. The two-level clustering is used to tease out the heterogeneity existing in the sources and observations, while a tree-structured prior is employed to model the latent hierarchy for clusters at the observational level. The proposed Bayesian model is flexible as it does not require an exact specification of cluster numbers or tree width/depth, and it can automatically learn the underlying tree structures among clusters of observations, thus, offering an insightful visualization of the nested data. We further provide a rigorous posterior sampling scheme via the partially collapsed Gibbs sampler and show the performance of the proposed method using simulation studies. Finally, the applications to two different types of nested data (multi-source image data and multi-subject single-cell expression data) demonstrate the advantages of the proposed Bayesian method. Supplementary materials for this article are available online.
DOI: 10.15468/dl.d5tmnr
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dyera polyphylla (Miq.) Steenis"
 ]
}

 The dataset includes 76 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148952-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az6khf
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Gobioides peruanus (Steindachner, 1880)"
 ]
}

 The dataset includes 30 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040207-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvnn4x
title: Occurrence Download

description: A dataset containing 12064 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bison (Linnaeus, 1758)"
 ]
}

 The dataset includes 12064 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041085-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b6k9a
title: Occurrence Download

description: A dataset containing 989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Herpsilochmus sellowi B.M.Whitney & Pacheco, 2000"
 ]
}

 The dataset includes 989 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293550-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59wap8
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglaia ramotricha Pannell"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149036-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fyrsy
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frieseomelitta meadewaldoi (Cockerell, 1915)"
 ]
}

 The dataset includes 121 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004102-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhd4ua
title: Occurrence Download

description: A dataset containing 3054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Empidonax minimus (W.M.Baird & S.F.Baird, 1843)"
 ]
}

 The dataset includes 3054 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041089-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v9utz
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine algal (seaweed) flora of Terceira Island, Azores"
 ]
}

 The dataset includes 418 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0315877-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utnte6
title: Occurrence Download

description: A dataset containing 14709834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fabaceae"
 ]
}

 The dataset includes 14709834 records from 2380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004102-181003121212138/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.12482345.v14
title: Arsenic, Bacteria, Copper, Lead, Nitrate, Sulfate, Chloride & Total Hardness Data by Section, Town-Range and/or County, Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI

description: Arsenic, Bacteria, Copper, Lead, Nitrate, Sulfate, Chloride and Total Hardness data for private wells collected in the Wisconsin area. The data provides the average of nitrate(mg/L), chloride (mg/L), total hardness (mg/L) per Section, Town-Range and/or County in the state of Wisconsin. Center for Watershed Science and Education, Univ of Wisconsin-Stevens Point/Univ of Wisconsin-Madison Division of Extension, Stevens Point, WI.
DOI: 10.21223/p3/q4knan
title: Dataset for: The photosynthesis recovery, a key trait as indicator of an appropriate irrigation criteria in potato crop

description: Field experiment to compare physiological performance and crop yield among different water stress levels before and after rehidratation periods in UNICA potato variety, to test the reliability of photosynthesis recovery as key trait for indicate an appropriate irrigation criteria, under two irrigation types.
DOI: 10.25574/01229
title: Chandra X-ray Observatory ObsId 01229

description: CALIBRATION OBSERVATION NGC 2516 FOR BORESIGHTING AND PLATE SCALE
DOI: 10.6084/m9.figshare.26140195
title: Benthic Hexagenia Data

description: Abundance and length information for benthic nymph sampling on Lake Seminole using a petite ponar at each location.
DOI: 10.6084/m9.figshare.26221628
title: Mayfly Radar Data

description: Number of adult mayflies detected by radar across three areas of Lake Seminole Georgia.
DOI: 10.6084/m9.figshare.26221568
title: Benthic Abiotic Data

description: Benthic water quality readings from each site where mayfly nymphs were collected across Lake Seminole Georgia.
DOI: 10.6084/m9.figshare.26140192
title: Isotope Nutrient Data

description: Isotope data for adults and nymphs as well as nutrient data for nymphs.
DOI: 10.6084/m9.figshare.26221667
title: Water Quality Data

description: Water Quality data collected at the top of each arm of Lake Seminole Georgia between January 2020 and July 2022
DOI: 10.15468/dl.evyy4h
title: Occurrence Download

description: A dataset containing 6856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-62.26941 -21.13403,-62.53231 -21.96763,-62.06422 -22.08946,-61.83979 -21.30075,-62.26941 -21.13403))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 6856 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000179-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mp58vz
title: Occurrence Download

description: A dataset containing 7669814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (France, Saint Barthélemy, French Guiana, Guadeloupe, Saint Martin (French part), Martinique, New Caledonia, French Polynesia, Saint Pierre and Miquelon, Réunion, French Southern Territories, Wallis and Futuna, Mayotte)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is not null",
 "PhylumKey is not null"
 ]
}

 The dataset includes 7669814 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000174-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chef89
title: Occurrence Download

description: A dataset containing 1183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Venezuela (Bolivarian Republic of), Colombia, Ecuador, Brazil)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anolis heterodermus Duméril, 1851, Anolis nicefori (Dunn, 1944), Anolis euskalerriari (Barros, Williams & Viloria, 1996), Anolis proboscis Peters & Orces, 1956, Anolis orcesi (Lazell, 1969), Anolis inderenae (Rueda & Hernández-Camacho, 1988), Anolis richteri (Dunn, 1944), Anolis tetarii (Barros, Williams & Viloria, 1996), Anolis tequendama Moreno-Arias, Méndez-Galeano, Beltrán & Vargas-Ramírez, 2023, Anolis quimbaya Moreno-Arias, Méndez-Galeano, Beltrán & Vargas-Ramírez, 2023, Anolis vanzolinii (Williams, Orces, Matheus & Bleiweiss, 1996))"
 ]
}

 The dataset includes 1183 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000180-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13712378
title: Delta GUI change detection using inferred models replication package

description: TESTAR is a scriptless automated open-source tool developed by the Universitat Politècnica de València and the Open University of the Netherlands.

TESTAR Change detection .NET is an open-source tool that simultaneously transits and compares state models inferred by a scriptless testing tool, enabling the detection and highlighting of GUI changes to detect the widgets or functionalities that have been added, removed, or modified. This tool is also developed by the Universitat Politècnica de València and the Open University of the Netherlands.

This replication package contains:



The Excel file that was used to perform and store the systematic mapping of the literature.

The TESTAR Change detection .NET version that was used to compare the state models inferred from the OBS, Calibre, and MyExpenses applications. 

The state models that were inferred from the OBS, Calibre, and MyExpenses applications. These are stored in the OrientDB graph database. 

Three documents (OBS, Calibre, MyExpenses) that detail with images the GUI changes results detected using the TESTAR Change detection .NET tool.

A video demo that shows how to use the TESTAR Change detection .NET tool with the inferred models from the Calibre web system.
DOI: 10.5281/zenodo.13712379
title: Delta GUI change detection using inferred models replication package

description: TESTAR is a scriptless automated open-source tool developed by the Universitat Politècnica de València and the Open University of the Netherlands.

TESTAR Change detection .NET is an open-source tool that simultaneously transits and compares state models inferred by a scriptless testing tool, enabling the detection and highlighting of GUI changes to detect the widgets or functionalities that have been added, removed, or modified. This tool is also developed by the Universitat Politècnica de València and the Open University of the Netherlands.

This replication package contains:



The Excel file that was used to perform and store the systematic mapping of the literature.

The TESTAR Change detection .NET version that was used to compare the state models inferred from the OBS, Calibre, and MyExpenses applications. 

The state models that were inferred from the OBS, Calibre, and MyExpenses applications. These are stored in the OrientDB graph database. 

Three documents (OBS, Calibre, MyExpenses) that detail with images the GUI changes results detected using the TESTAR Change detection .NET tool.

A video demo that shows how to use the TESTAR Change detection .NET tool with the inferred models from the Calibre web system.
DOI: 10.15468/dl.g7xnqk
title: Occurrence Download

description: A dataset containing 1303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spirotheca Ulbr."
 ]
}

 The dataset includes 1303 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000181-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9a9obt6
title: Chloride concentration data for the western part of the Southern Hills regional aquifer system, Louisiana, 2021-22, and selected historical data

description: Groundwater is heavily used for public supply and industrial uses in the Baton Rouge area. Lowered water levels resulting from groundwater withdrawals have induced the movement of saltwater towards wells in East Baton Rouge and West Baton Rouge Parishes. Saltwater intrusion has the potential to affect water supply infrastructure, reduce water availability for certain uses, and increase treatment costs. To document current conditions, samples were collected at 161 wells screened in 10 aquifers of the Southern Hills regional aquifer system during November 2021 through February 2022. This dataset includes the results of this sampling effort and information on the sampled wells. Additionally, a table of additional chloride concentration data collected during August 1943 through January 2023 by the U.S. Geological Survey and the Louisiana Department of Health is provided for a selection of wells. This table is not an exhaustive dataset from these two sources, and only includes data that are referenced or displayed in the text or figures of the accompanying report. A table of user self-reported site-specific groundwater withdrawals compiled by the Capital Area Groundwater Conservation Commission for the study area for the year 2021 is also provided.