cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z4wjh4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelecyora trigona, Artemis trigona, Dosinia trigona, Sinodia trigona)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059495-251120083545085/datasets/export for details.
DOI: 10.7910/dvn/n613e0
title: Replication Data for: Causal pathways of rebel defection from negotiated settlements: A theory of strategic alliances

description: While it is widely accepted that negotiated settlements are prone to breakdown, our understanding of the processes through which signatories defect lacks precision. A growing qualitative literature recognizes the potential for rebel group fluidity, yet the conflict field’s converging reliance on dyadic data obscures pathways of defection that result in splintering or merger in quantitative studies. An in-depth case study of a failed peace process in Uganda—which is misclassified in the extant data—helps to illustrate the ways in which excluded groups can lower the opportunity cost of defection for splintering factions, resulting in a strategic alliance. I test the generalizability of this argument against the full sample of rebel parties to settlements in Sub-Saharan Africa (1975–2015) using a large-N qualitative analysis of causal process observations (CPOs). The aggregated results provide strong evidence that the defection-by-alliance pathway is much more prevalent than previously recognized, accounting for more than one-third of all defections in the sample. Where settlements create shared incentives for stakeholders inside and outside the peace process to spoil, rebel elites appear more willing to bear the costs of an alliance with a rival, rather than surrendering under adverse conditions.
DOI: 10.15468/dl.grk7za
title: Occurrence Download

description: A dataset containing 19935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neovison vison",
 "Year 1950-2025"
 ]
}

 The dataset includes 19935 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059496-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zreae
title: Occurrence Download

description: A dataset containing 19603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium cumini",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 19603 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059497-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9s56f
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Periglypta exclathrata, Antigona albocancellata, Antigona clathrata, Periglypta albocancellata, Periglypta clathrata, Venus clathrata, Venus exclathrata)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059498-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/qcn0-bb65
title: Arequipa Climate Maps - Yearly, Monthly and Daily

description: &lt;div class="pub-content"&gt;
&lt;p&gt;Climate is a powerful driver of agricultural and natural systems, and spatial climate data sets in digital form are currently in great demand. This is especially true in the Arequipa department of Peru, a region with low seasonal precipitation, significant topographic variability, and high demand for water resources in highly managed water systems. This dataset contains 30 years of annual, monthly and daily gridded climate maps of precipitation and maximum and minimum air temperature from January 1, 1988, to December 31, 2017. It was created using weather station data from the Servicio Nacional de Meteorolog&iacute;a e Hidrolog&iacute;a del Per&uacute; (SENAMHI) and the National Ocean and Atmospheric Administration&rsquo;s (NOAA) Global Summary of the Day (GSOD). Topography data, used as covariates for spatial interpolation, came from the ALOS World 3D DEM. Weather data went through extensive preprocessing for removal of implausible values, data gap filling, and inhomogeneity detection. Maps were created using a Regression Thin-Plate Splines (RTPS) method that made use of Polynomial and Potential Regression Models specifically developed for the region.&lt;/p&gt;

&lt;p&gt;A manuscript entitled &ldquo;Terrain sensitive climate maps for Arequipa region, Peru,&rdquo; is under development and when published will contain information about the development of this dataset.&lt;/p&gt;

&lt;p&gt;This dataset was developed by the Center for Sustainable Watershed Management of the Arequipa Nexus Institute (&lt;a href="https://www.purdue.edu/discoverypark/arequipa-nexus/en/index.php" rel="nofollow noreferrer" target="_blank"&gt;https://www.purdue.edu/discoverypark/arequipa-nexus/en/index.php&lt;/a&gt;)&lt;/p&gt;
&lt;/div&gt;
description: Arequipa Climate Maps – Yearly, Monthly and Daily (ACM-YMD), contains 30 years (1988-2017) of annual, monthly and daily gridded climate maps based on daily precipitation, and maximum and minimum air temperature for the Arequipa Department in Peru.
DOI: 10.4231/k9c5-r785
title: Data for: Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians

description: &lt;p&gt;Per- and polyfluoroalkyl substances (PFAS) are widespread, persistent environmental pollutants known to elicit a wide range of negative effects on wildlife species. There is scarce information regarding the toxicity of PFAS on amphibians, but amphibians may be highly susceptible because of their permeable skin and dependence on fresh water. Acute toxicity studies are a first step towards understanding responses to PFAS exposure, providing benchmarks for species-specific tolerances, informing ecological risk assessment (ERA), and designing chronic toxicity studies. We conducted standardized 96-h lethal concentration (LC&lt;sub&gt;50&lt;/sub&gt;) toxicity tests for perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) with nine widely-distributed amphibian species native to eastern and central North America. We also conducted LC&lt;sub&gt;50&lt;/sub&gt; tests with perfluorohexane sulfonate (PFHxS) for two species and determined whether toxicity of PFOS and PFOA varied between life stages for three species. Acute toxicity varied among PFAS and species and between developmental stages within species. Across all species, toxicity of PFOS was &gt;8&acute; higher than PFOA. Salamanders in the genus &lt;i&gt;Ambystoma&lt;/i&gt; were generally more sensitive to PFOS than anurans (frogs and a toad). Toxicity of PFOA was highest for Small-mouthed Salamanders and Gray Tree Frogs and lowest for Jefferson Salamanders, American Bullfrogs, Green Frogs, and Wood Frogs. Although only two species were exposed to PFHxS, survival was lower for Green Frogs than American Bullfrogs. Toxicity of PFAS also varied between developmental stages of larvae. Gray Tree Frogs were more sensitive at later developmental stages and Small-mouthed Salamanders were more sensitive at earlier developmental stages. Our study is one of the first to report species-, developmental stage-, and compound-specific differences in sensitivity to PFAS across a wide range of amphibian species. The benchmarks for toxicity we determined can inform conservation and remediation efforts, guide chronic toxicity studies, and help predict influences on amphibian communities thereby informing future ERAs for PFAS. &lt;/p&gt;
description: These data correspond to a paper entitled "Relative acute toxicity of three per- and polyfluoroalkyl substances on nine species of larval amphibians" by Tornabene et al.
DOI: 10.4231/1fq0-p419
title: Animal Model Dependent Response to Pentagalloyl Glucose in Murine Abdominal Aortic Injury

description: &lt;p&gt;Abdominal aortic aneurysms (AAAs) are a local dilation of the aorta and are associated with significant mortality due to rupture and treatment complications. There is a need for less invasive treatments to prevent aneurysm growth and rupture. In this study, we used two experimental murine models to evaluate the potential of pentagalloyl glucose (PGG), which is a polyphenolic tannin that binds to and crosslinks elastin and collagen, to preserve aortic compliance. Animals underwent surgical aortic injury and received 0.3% PGG or saline treatment on the adventitial surface of the infrarenal aorta. Seventeen mice underwent topical elastase injury, and 14 mice underwent topical calcium chloride injury. We collected high-frequency ultrasound images before surgery and at 3&ndash;4 timepoints after. There was no difference in the&lt;em&gt; in vivo&lt;/em&gt; effective maximum diameter due to PGG treatment for either model. However, the CaCl&lt;sub&gt;2&lt;/sub&gt; model had significantly higher Green&ndash;Lagrange circumferential cyclic strain in PGG-treated animals (&lt;i&gt;p &lt;/i&gt;&lt;&lt;i&gt; &lt;/i&gt;0.05). While &lt;em&gt;ex vivo&lt;/em&gt; pressure-inflation testing showed no difference between groups in either model, histology revealed reduced calcium deposits in the PGG treatment group with the CaCl&lt;sub&gt;2&lt;/sub&gt; model. These findings highlight the continued need for improved understanding of PGG&rsquo;s effects on the extracellular matrix and suggest that PGG may reduce arterial calcium accumulation.&lt;/p&gt;
description: This dataset accompanies the Journal of Clinical Medicine article by the same name (https://doi.org/10.3390/jcm10020219) and includes all data discussed therein. Please contact Craig Goergen with any questions at cgoergen@purdue.edu.
DOI: 10.4231/jnbk-zk34
title: Arequipa Climate Maps – Normals

description: &lt;p&gt;Climate is a powerful driver of agricultural and natural systems, and spatial climate data sets in digital form are currently in great demand. This is especially true in the Arequipa department of Peru, a region with low seasonal precipitation, significant topographic variability, and high demand for water use in highly managed water systems. This dataset contains 30-year average annual and average annual monthly maps of cumulative precipitation, and average, minimum and maximum daily air temperature from January 1, 1988 to December 31, 2017. It was created using weather station data from the Servicio Nacional de Meteorolog&iacute;a e Hidrolog&iacute;a del Per&uacute; (SENAMHI) and National Ocean and Atmospheric Administration&rsquo;s (NOAA) Global Summary of the Day (GSOD). Topography data, used as covariates, came from ALOS World 3D DEM. Weather data went through extensive preprocessing for removal of implausible values, data gap filling, and inhomogeneity detection. Maps were created using a Regression Thin-Plate Splines (RTPS) method that made use of Polynomial Regression Models specifically developed for the region.&lt;/p&gt;

&lt;p&gt;A manuscript entitled &ldquo;Terrain sensitive climate maps for Arequipa region, Peru,&rdquo; is under development and will bring more information about the development of this dataset.&lt;/p&gt;

&lt;p&gt;This dataset was developed by the  Center for Sustainable Watershed Management of the Arequipa Nexus Institute (&lt;a href="https://www.purdue.edu/discoverypark/arequipa-nexus/en/index.php"&gt;https://www.purdue.edu/discoverypark/arequipa-nexus/en/index.php&lt;/a&gt;)&lt;/p&gt;
description: Arequipa Climate Maps – Normals, is a dataset containing 30-year averages of annual and monthly climatology derived from observations of daily air temperature, and precipitation for the Arequipa department in Peru.
DOI: 10.4231/ay85-yd07
title: Data for: Population-level variation in infection outcomes not influenced by pesticide exposure in larval wood frogs (Rana sylvatica)

description: &lt;ol&gt;
 &lt;li&gt;There is increasing evidence that populations of non-target wildlife species can evolve tolerance to pesticides. As ecosystems become increasingly exposed to chemical contaminants globally, it is important to consider not only the immediate consequences of contaminant exposure but also the potential costs and tradeoffs associated with evolved responses.&lt;/li&gt;
 &lt;li&gt;Several studies have demonstrated that wood frog (&lt;em&gt;Rana sylvatica&lt;/em&gt;) populations close to agriculture, where frequent exposure to pesticides is more likely, show higher baseline tolerance to pesticides than do populations far from agriculture. Using this study system, we explored patterns of variation in susceptibility to parasites associated with a population&rsquo;s proximity to agriculture (a proxy for pesticide tolerance), and how these patterns are influenced by experimental exposure of tadpoles to the insecticide carbaryl. We did this by first placing tadpoles in an environment containing the pesticide carbaryl (1 mg/L) or in a pesticide-free control environment for 5 d, and subsequently exposing tadpoles to trematodes (&lt;em&gt;Echinostoma trivolvis&lt;/em&gt;) or ranavirus (Frog Virus 3).&lt;/li&gt;
 &lt;li&gt;We found that the variation in trematode susceptibility was related to the tadpole populations&rsquo; proximity to agriculture. Individuals from populations located close to agriculture were more susceptible to trematode infections than individuals from populations farther from agriculture. Ranavirus susceptibility was not associated with proximity to agriculture.&lt;/li&gt;
 &lt;li&gt;Surprisingly, exposure to carbaryl increased the survival rates of tadpoles infected with ranavirus. This was the only significant effect of carbaryl exposure on the measured disease outcomes.&lt;/li&gt;
 &lt;li&gt;This study provides evidence for a potential trade-off between trematode resistance and putative pesticide tolerance. Moreover, we show that host populations can vary significantly in their susceptibility to pathogens, but that pesticide exposure does not always increase parasite susceptibility or uniformly exacerbate disease outcomes. Further research is needed to determine how genetic variation among populations impact susceptibility to parasites, and if these patterns of susceptibility are consistent across space and time.&lt;/li&gt;
&lt;/ol&gt;
description: These data correspond to a paper entitled "Population-level variation in infection outcomes not influenced by pesticide exposure in larval wood frogs (Rana sylvatica)" by Billet et al. submitted to the journal Freshwater Biology in 2021.
DOI: 10.4231/k1wj-tw90
title: Dataset of the peak height insertion gain (PHIG) method for quantifying acoustic feedback in hearing aids

description: &lt;p&gt;Hearing aids are commonly fit with ear canals partially or fully open &ndash; a condition that increases the risk of acoustic feedback.  Feedback limits the audiometric fitting range of devices by limiting usable gain.  To guide clinical decision-making and device selection, we developed the Peak Height Insertion Gain (PHIG) method to detect feedback spikes in the short-term insertion gain derived from audio recordings.  Using a manikin, 145 audio recordings of a speech signal were obtained from seven hearing aids.  Each hearing aid was programmed for a moderate high-frequency hearing loss with systematic variations in frequency response, gain, and feedback suppression; this created audio recordings that varied the presence and strength of feedback.  Using subjective ratings from 13 expert judges, the presence of feedback was determined and then classified according to its temporal and tonal qualities.  These classifications were used to optimize parameters for two versions of the PHIG method based on global and local analyses.  When specificity was fixed at 0.95, the sensitivity of the global analysis was 0.86 and increased to 0.95 when combined with the local analysis.  Without compromising performance, a clinically expedient version of the PHIG method can be obtained using only a single measurement.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;For more information, see:&lt;/p&gt;

&lt;p&gt;Alexander, J.M., Schmig, S., Wagner, R., and Armstrong, S. (2021).  The peak height insertion gain (PHIG) method for quantifying acoustic feedback in hearing aids.  Journal of the Acoustical Society of America, 150(3), 1635-1651.  DOI: 10.1121/10.0005987&lt;/p&gt;
description: Raw audio recordings of hearing aid output with and without feedback. MATLAB code for a method that quantifies the strength of the feedback signal. Spreadsheet data containing categorical feedback ratings from human listeners.
DOI: 10.4231/fmf9-mf28
title: Precipitation and Temperature Data for Simiyu River Watershed, Tanzania (1972-2019)

description: &lt;p&gt;The Simiyu River Watershed in Tanzania covers an area of 13,972 km&lt;sup&gt;2&lt;/sup&gt;. The average annual rainfall in the watershed ranges from 700 mm&ndash;1,000 mm. The Simiyu River is ephemeral and its waters discharge into Lake Victoria. Primary land uses in the watershed include grassland, woodland, and cultivated land, The primary uses for Simiyu River waters are agriculture, fishing, and livestock production. Primary threats to water resources in the watershed include: water fluxes due to land use/land cover change; pollutants in water courses; and, high rates of soil erosion.(Mulungu and Munishi, 2007; Rwetabula et al., 2007)&lt;/p&gt;

&lt;p&gt;This dataset comprises precipitation and temperature data as available and shareable for Simiyu River Watershed, Tanzania.&lt;/p&gt;

&lt;p&gt;The data can be used for hydrologic and water quality modeling or other water resources applications and are formatted for easy use with such applications.&lt;/p&gt;

&lt;p&gt;Data for the following stations are included with the dataset:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Kisesa&lt;/li&gt;
 &lt;li&gt;Maswa&lt;/li&gt;
 &lt;li&gt;Sagata&lt;/li&gt;
 &lt;li&gt;Sumve&lt;/li&gt;
 &lt;li&gt;Talaga&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;The data are packaged and deployed so as to be Findable, Accessible, Interoperable, and Reusable (FAIR) in accordance with open data FAIR Guiding Principles (Wilkinson et al, 2016).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Primary Data Columns:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;date: Calendar date (YYYY-MM-DD)&lt;/li&gt;
 &lt;li&gt;prcpmm: Daily precipitation (mm)&lt;/li&gt;
 &lt;li&gt;tmin_c: Daily Minimum Temperatures (degrees Celsius)&lt;/li&gt;
 &lt;li&gt;tmax_c: Daily Maximum Temperatures (degrees Celsius)&lt;/li&gt;
&lt;/ul&gt;

&lt;p style="margin-left:.5in;"&gt; &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data Sources:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Subira E. Munishi. University of Dar Es Salaam&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Funding Acknowledgement&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This dataset was made possible in part through support provided by the Center for Development Research, U.S. Global Development Lab (Lab), U.S. Agency for International Development, through the LASER PULSE Program under the terms of Cooperative Agreement No. 7200AA18CA00009. The opinions expressed herein are those of the author(s) and do not necessarily reflect the views of the U.S. Agency for International Development.&lt;/p&gt;
description: Raw climate data from ground-based stations as available and shareable for selected stations in the Simiyu River Watershed, Tanzania.
DOI: 10.4231/eb3j-cs77
title: Precipitation and Temperature (2000-2018), Streamflow (1997-2007), and Water Quality data (2011-2016) for Murchison Bay Watershed, Uganda.

description: &lt;p&gt;The Murchison Bay Watershed in Uganda covers an area of 40.9 km2. The bay is a part of Lake Victoria and its watershed is located between latitudes 00&deg; 10&prime; 00&Prime; N and 00&deg; 30&prime; 00&Prime; N and longitudes 32&deg; 35&prime; 00&Prime; E and 32&deg; 50&prime; 00&Prime;E. The average elevation is 1,224 m above sea level. The average annual rainfall in the watershed is 1,290 mm. The Murchison Bay Watershed supports a variety of human activities. Core changes in the watershed include: urban expansion (29%); and, decreases in agricultural areas (18%), forests (6%), and wetlands (7%). Anthropogenic perturbations particularly land use/land cover change are primary threats in the watershed and watershed water quality and quantity in the bay are impacted by a combination of urban and agricultural pollutants. (Kiggundu et al., 2018)&lt;/p&gt;

&lt;p&gt;This dataset comprises climate and water data as available and shareable for the Murchison Bay Watershed, Uganda. The data are formatted for easy use with hydrologic and water quality modeling or other water resources applications. Detailed metadata are provided with the dataset.&lt;/p&gt;

&lt;p&gt;The following data are included with the dataset:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Kampala (climate)&lt;/li&gt;
 &lt;li&gt;River Gaging Station (streamflow)&lt;/li&gt;
 &lt;li&gt;Grab Sampling Points (water quality)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Primary Data Columns:&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;date: Calendar date (YYYY-MM-DD)&lt;/li&gt;
 &lt;li&gt;prcpmm: Daily precipitation (mm)&lt;/li&gt;
 &lt;li&gt;tmin_c: Daily Minimum Temperatures (degrees Celsius)&lt;/li&gt;
 &lt;li&gt;tmax_c: Daily Maximum Temperatures (degrees Celsius)&lt;/li&gt;
&lt;/ul&gt;

&lt;p style="margin-left:.5in;"&gt; &lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Data Sources:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Kampala Precipitation and Temperature: Makerere University Meteorological Station, Uganda National Meteorological Authority.&lt;/p&gt;

&lt;p&gt;Streamflow and Water Quality Data: N.S. Kiggundu, Makerere University with acknowledgements to the Directorate of Water Resource Management (DWRM), Ministry of Water and Environment (MWE).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Funding Acknowledgement&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This dataset was made possible in part through support provided by the Center for Development Research, U.S. Global Development Lab (Lab), U.S. Agency for International Development, through the LASER PULSE Program under the terms of Cooperative Agreement No. 7200AA18CA00009. The opinions expressed herein are those of the author(s) and do not necessarily reflect the views of the U.S. Agency for International Development.&lt;/p&gt;
description: Raw climate and raw or aggregated water data from ground-based stations as available and shareable for selected stations in the Murchison Bay Watershed, Uganda.