cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/a4yz-qp36
title: Data for: Pathogens and predators: examining the separate and combined effects of natural enemies on community structure

description: &lt;p&gt;Natural enemy ecology strives to unify predator-prey and host-pathogen interactions under a common framework to gain insights into community- and ecosystem-level processes. To address this goal, we need a greater emphasis on: 1) quantifying pathogen-mediated effects on community structure to enable comparisons with predator-mediated effects and 2) determining the interactive effects of combined natural enemies on communities. We conducted a mesocosm experiment to assess the individual and combined effects of predators (dragonfly larvae and adult water bugs) and a pathogen (ranavirus) on the abundance and composition of a larval amphibian assemblage. We found that our three natural enemies structured communities in unique ways, producing distinct assemblages. Additionally, we found that in combination treatments, predators dominated the influence of virus, resulting in assemblages most closely resembling their respective predator treatments. We also found that predators reduced infection prevalence in combination treatments, and that the magnitude of this effect was dependent on predator identity. Compared to virus-alone treatments, the presence of dragonflies and water bugs reduced infection prevalence by 79% and 63%, respectively. Additionally, the presence of dragonflies eliminated ranavirus infection in two species, which demonstrates the important role of predators in disease dynamics in this system. Overall, this work demonstrates the importance of considering natural enemies in a community context, as each enemy can elicit a unique structural change. Additionally, this study provides a unique empirical test of the healthy herds hypothesis at the community level and underscores the importance of advancing our understanding of multi-enemy interactions within communities. &lt;/p&gt;
description: These data and code correspond to a paper entitled "Pathogens and predators: examining the separate and combined effects of natural enemies on community structure" by DeBlieux and Hoverman.
DOI: 10.4231/b05y-qg11
title: Data for: Pesticide tolerance induced by a generalized stress response in wood frogs (Rana sylvatica)

description: &lt;p&gt;Increasing evidence suggests that phenotypic plasticity can play a critical role in ecotoxicology. More specifically, induced pesticide tolerance, in which populations exposed to a contaminant show increased tolerance to the contaminants later, has been documented in multiple taxa. However, the physiological mechanisms of induced tolerance remain unclear. We hypothesized that induced pesticide tolerance is the result of a generalized stress response based on previous studies showing that both natural stressors and anthropogenic stressors can induce tolerance to pesticides. We tested this hypothesis by first exposing larval wood frogs (&lt;i&gt;Rana sylvatica&lt;/i&gt;) to either an anthropogenic stressor (sublethal carbaryl concentration), a natural stressor (cues from a caged predator), or a simulated stressor via exogenous exposure to the stress hormone corticosterone (125&thinsp;nM). We also included treatments that inhibited corticosterone synthesis with the compound metyrapone (MTP). We then exposed the larvae to a lethal carbaryl treatment to assess time to death. We found that prior exposure to 125&thinsp;nM of exogenous CORT and predator cues induced tolerance to a lethal concentration of carbaryl through a slight delay in time to death. Pre-exposure to sublethal carbaryl, as well as MTP alone or in combination with predator cues, did not induce tolerance to the lethal carbaryl concentration relative to the ethanol vehicle control treatment. Our study provides evidence that pesticide tolerance can be induced by a generalized stress response both in the presence and absence (exogenous CORT) of specific cues and highlights the importance of considering physiological ecology and environmental context in ecotoxicology.&lt;/p&gt;
description: These data correspond to a paper entitled "Pesticide tolerance induced by a generalized stress response in wood frogs (Rana sylvatica)" by LS Billet and JT Hoverman published in the journal Ecotoxicology.
DOI: 10.4231/swww-qk81
title: Data for: Improving English Language Arts Instruction in Indiana Dual Language Bilingual Education Classrooms

description: &lt;p&gt;This data set includes raw data of observation scores of Indiana elementary school classroom teachers&rsquo; English language arts instruction using the Sheltered Instruction Observation Protocol (Echevarria, Vogt, &amp; Short, 2016). Participants are 15 teachers (7 treatment Dual Language Bilingual Education (DLBE) teachers; 8 comparison non-DLBE teachers) grades K-3 from two Indiana school districts. Treatment teachers received: (a) 15 credit hours of university coursework (5 courses) leading to English Language Learner teacher licensure, (b) an additional 6 credit hours (2 courses) leading to a Graduate Certificate in Dual Language Bilingual Education, and (c) 6 sessions of instructional coaching. Comparison teachers did not receive any treatments. Data were collected at the beginning, middle and end of the 2018-2019 school year and between November and December of the 2019-2020 school years.&lt;/p&gt;

&lt;p&gt;We observed and video recorded each teachers&rsquo; English language arts (ELA) block four times over 18 months to examine changes over time and determine the impact of the training.&lt;/p&gt;

&lt;p&gt;The data set includes raw scores for each teacher on each of the 30 SIOP items (organized around 8 broad components), as well as various tables and figures to compare the total mean scores, and mean scores on each of the 8 components.&lt;/p&gt;
description: This data set includes observation scores of Indiana elementary school classroom teachers’ English language arts instruction using the Sheltered Instruction Observation Protocol between 2018 and 2020.
DOI: 10.4231/2arz-by05
title: Precipitation and Temperature Data for Select 3 Stations in Tanzania (1979-2020)

description: &lt;p&gt;Surface and ground water availability in East Africa varies substantially with time and climate, and across subregions. Climate, land use, and land management changes are key factors affecting the integrity of water resources, yet related data are generally insufficient, unavailable, or inaccessible for effective decision-making and management with respect to water resources.&lt;/p&gt;

&lt;p&gt;This dataset comprises precipitation and temperature data as available and shareable for selected locations in three East African countries&mdash;Kenya, Tanzania, and Uganda. Additional time series developed through bias correction of Climate Forecast System Reanalysis (CFSR, Saha et al., 2010) data are included and can be used in place of observed data where the latter are deemed insufficient for use in analysis.&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. Detailed metadata are provided with the dataset.  &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;Mtwara&lt;/li&gt;
 &lt;li&gt;Mwanza&lt;/li&gt;
 &lt;li&gt;Tabora&lt;/li&gt;
&lt;/ul&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&gt; &lt;/p&gt;

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

&lt;p&gt;Observed Data (stationname_climate_obs): Retrieved from the National Oceanic and Atmospheric Association Climate Data Online (https://www.ncdc.noaa.gov/cdo-web/)&lt;/p&gt;

&lt;p&gt;Original Reanalysis Data: Retrieved from National Centers for Environmental Prediction Climate Forecast System Reanalysis Versions 1 and 2 (https://doi.org/10.5065/D69K487J, https://doi.org/10.5065/D61C1TXF);&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, and time series developed from Climate Forecast System Reanalysis (CFSR) for selected stations in Tanzania.
DOI: 10.15468/dl.uhtymh
title: Occurrence Download

description: A dataset containing 8270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syzygium jambos",
 "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 8270 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059500-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/6yk1-cq13
title: Precipitation and Temperature Data for Select 4 Stations in Uganda (1979-2020)

description: &lt;p&gt;Surface and ground water availability in East Africa varies substantially with time and climate, and across subregions. Climate, land use, and land management changes are key factors affecting the integrity of water resources, yet related data are generally insufficient, unavailable, or inaccessible for effective decision-making and management with respect to water resources.&lt;/p&gt;

&lt;p&gt;This dataset comprises precipitation data developed through bias correction of Climate Forecast System Reanalysis (CFSR, Saha et al., 2010) data and temperature data from the same (CFSR) source for selected stations in Uganda.&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.  Detailed metadata are provided with the dataset.&lt;/p&gt;

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

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

&lt;ul&gt;
 &lt;li&gt;Arua&lt;/li&gt;
 &lt;li&gt;Entebbe&lt;/li&gt;
 &lt;li&gt;Jinja&lt;/li&gt;
 &lt;li&gt;Soroti&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&gt; &lt;/p&gt;

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

&lt;p&gt;Original Reanalysis Data: Retrieved from National Centers for Environmental Prediction Climate Forecast System Reanalysis Versions 1 and 2 (https://doi.org/10.5065/D69K487J, https://doi.org/10.5065/D61C1TXF);&lt;/p&gt;

&lt;p&gt;Raw Precipitation Data: Obtained from Uganda Department of Meteorology.&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, and time series developed from Climate Forecast System Reanalysis (CFSR) for selected stations in Uganda.
DOI: 10.4231/0px3-t517
title: Site Index of the Rough Cilicia Archaeological Survey Project

description: &lt;p&gt;The dataset includes approximately 150 sites surveyed during the course of the Rough Cilicia Archaeological Survey Project between 1996 and 2011. Site typologies range from urban sites to sherd scatters and threshing floors. Nicholas Rauh assigned the classification of a site if there were architectural features or a minimum of 100 sherds present. For each site the dataset presents the name of the site, the project code number, its general typology, and GIS references. The site names typically have their modern Turkish names according to available Turkish maps, or ancient name if known, such as, Selinus, Lamos, Iotape, Nephelion, Antochia ad Cragum, Kestros, Laertes. To cross-reference with early RCSP publications the site data also includes earlier codes based on the Turkish cadastral maps used during the survey. Descriptive names such as &quot;Church Site,&quot; that were employed early on are also included. The dataset represents a list of the sites that to be treated eventually in the RCSP Site Catalogue. The GIS coordinates are given both in decimal degrees and as the UTM coordinates for zone 36 N.&lt;/p&gt;
description: This dataset includes a comprehensive list of approximately 150 sites surveyed in the course of the Rough Cilicia Archaeological Survey Project between 1996 and 2011.
DOI: 10.7281/t15hmqd4
title: Data associated with the publication: Leveraging place field repetition to understand positional versus nonpositional inputs to hippocampal field CA1

description: These data are used to generate the figure panels in Hockeimer et al. The csv and json files contain processed firing rate data while the pickle file contains raw data from all the neurons in the dataset.
DOI: 10.4231/00ng-eg61
title: Archaelogical Sites in Wider Rough Cilicia (Rough Cilicia and Isauria)

description: &lt;p&gt;Along with with Hugh Elton (Brock University) and Matthew Dillon (Loyola Marymount University), Nicholas Rauh has visited numerous archaeological sites beyond the boundaries of the Rough Cilicia Archaeological Survey Project in Gazipasha. He and Stanislav Pej&scaron;a are publishing here a list of 86 significant sites visited in the wider region of Rough Cilicia and Isauria. Site typologies range from amphora kiln sites to villages and urban sites. Coordinates were obtained using hand-held GPS devices at the time of each visit. In some instances we have adjusted these to put them more squarely on site. The coordinates are posted in both Decimal Degrees and UTM. This list is not meant to be comprehensive. It simply presents those sites that were visited and verified by the researchers named above in person.&lt;/p&gt;
description: This dataset lists eighty-six major archaeological sites in the regions of Rough Cilicia and Isauria in modern Turkey, with locations recorded in on-site georeferencing.
DOI: 10.15468/dl.cm493z
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Periglypta listeri, Antigona listeri, Chione listeri, Cytherea listeri, Dosina listeri, Dosinia listeri, Venus crispata, Venus listeri)",
 "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 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059501-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/6af9-3085
title: Characterizing a gene expression toolkit for eye- and photoreceptor-specific expression in Drosophila - Supporting data for Escobedo et al. (2021)

description: &lt;p&gt;The expression pattern and levels of eye- and photoreceptor-specific drivers was characterized in &lt;em&gt;Drosophila melanogaster&lt;/em&gt;. This dataset contains the original confocal microscopy images for adult eyes (.czi), fluorescence microscopy images for embryo, larvae and pupal heads (.lif), and raw luciferase activity data (.csv file, arbitrary units) used to generate the figures in Escobedo et al. 2021. It also contains the plasmid maps and sequence information for the plasmids used to generate the sRh1-Gal4, mRh1-Gal4, Rh1-QF2, and Rh1-GSGal4 fly lines (corresponding to plasmids listed in Table 1). Please note that this is a very large dataset because of the size of the microscopy files from developmental stages, and this may take some time to download. A summary of the representative images and expression patterns for each driver is presented in the associated Escobedo et al. 2021 publication (see citation for details).&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;File Information:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Confocal microscopy images (.czi) and zipped fluorescence microscopy images (.lif) can be opened using ImageJ or similar software.&lt;/p&gt;

&lt;p&gt;Plasmid maps are provided in Gene Bank format (.gbk) and can be opened using Notepad or similar text editor software.&lt;/p&gt;

&lt;p&gt;Raw luciferase data is provided as a .csv file.&lt;/p&gt;
description: Supporting and raw data for Escobedo et al. (2021) including microscopy images.
DOI: 10.4231/0d14-5q79
title: Indiana Statewide Digital Surface Model (2016-2019)

description: &lt;p&gt;This is Digital Surface Model (DSM) data products generated from 2016-2020 Indiana 3DEP Lidar Program data.&lt;/p&gt;

&lt;p&gt;You can download the DSM data from &lt;a href="https://lidar.jinha.org" target="_blank"&gt;https://lidar.jinha.org&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;DSM is generated at 5ft spatial resolution to ensure seamless elevation surface for the whole state. A detailed algorithm to generate the DSM can be found in an article published by Jung et. al (2013). &lt;/p&gt;

&lt;p&gt;J. Jung, B. K. Pekin, B. C. Pijanowski, &ldquo;Mapping gaps in an old-growth, secondary-growth, and selectively-logged tropical rainforest using discrete return LIDAR,&rdquo; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(6), pp. 2453-2461, 2013. &lt;a href="https://ieeexplore.ieee.org/document/6494343" rel="nofollow noopener" target="_blank"&gt;Article&lt;/a&gt;&lt;/p&gt;
description: Digital Surface Model generated from the Indiana Statewide LiDAR data (2016 - 2019)
DOI: 10.4231/qaa5-6j29
title: Indiana Statewide Normalized Digital Height Model (2016-2019)

description: &lt;p&gt;This is Normalized Digital Height Model (NDHM) data products generated from 2016-2020 Indiana 3DEP Lidar Program data.&lt;/p&gt;

&lt;p&gt;You can download the NDHM data from &lt;a href="https://lidar.jinha.org" target="_blank"&gt;https://lidar.jinha.org&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;NDHM is generated at 5ft spatial resolution to ensure seamless elevation surface for the whole state. A detailed algorithm to generate the NDHM can be found in an article published by Jung et. al (2013). &lt;/p&gt;
description: Normalized Digital Height Model generated from the Indiana Statewide LiDAR data (2016 - 2019)
DOI: 10.4231/2p0v-7q31
title: Archived data of the Biographical Dictionary of the Residents of the French Academy in Rome

description: &lt;p&gt;Annie and Gabriel Verger&rsquo;s &lt;em&gt;Biographical Dictionary of the Residents of the French Academy in Rome&lt;/em&gt; was published in 2011 as a book, before Annie and Gabriel Verger completed the dictionary and published it online as a digital database in collaboration with the &lt;a href="https://artlas.huma-num.fr"&gt;Artl@s&lt;/a&gt; project in 2018. The Dictionary gathers information on all artists sent to Italy by the French State from 1666, when the government of Louis XIV established the Prix de Rome competition, until its abolition in 1968. The profiles of individual residents provide biographical and professional information, such as places of birth and death, studies, shipments of artworks from Rome (&lt;em&gt;envois&lt;/em&gt;), occupations, academic appointments, and awards and honours. Information about institutions that hold primary documents on the artists is also included. The content of the dataset is mainly in French, the headers are in English.&lt;/p&gt;

&lt;p&gt;The archived data were remedied and transformed in order to facilitate easier quantitative analysis and visualisation. Key dates were extracted into separate columns, personal and topographic names were normalised and reconciled with Wikidata. The Wikidata identifiers for the individual artists are provided, as well. The Wikidata schema that was used for creating the Wikidata item records is attached in documentation.&lt;/p&gt;

&lt;p&gt;The online version of these data is available at &lt;a href="https://acad-artlas.huhttps://acad-artlas.huma-num.fr/ma-num.fr/"&gt;https://acad-artlas.huma-num.fr/&lt;/a&gt;. For further information, see Annie Verger, &ldquo;Rome vaut bien un prix. An Artistic Elite in the Service of the State: the Pensionnaires of the Acad&eacute;mie de France in Rome, 1666- 1968.&rdquo; &lt;em&gt;Artl@s Bulletin&lt;/em&gt; 8, 2 (Summer 2019), at &lt;a href="https://docs.lib.purdue.edu/artlas/vol8/iss2/9/"&gt;https://docs.lib.purdue.edu/artlas/vol8/iss2/9&lt;/a&gt; or in French at &lt;a href="https://docs.lib.purdue.edu/artlas/vol8/iss2/8/"&gt;https://docs.lib.purdue.edu/artlas/vol8/iss2/8/&lt;/a&gt;.&lt;/p&gt;
description: Remediated and enhanced data of the Biographical Dictionary of the Residents of the French Academy in Rome for qualitative analysis of the prosopographic data of French artists - recipients of the Prix de Rome award between 1663 and 1968.
DOI: 10.4231/nv3h-g751
title: RDAP 2021 COVID-19 Salute Pre-Keynote Video Purdue University Libraries and School of Information Studies

description: &lt;p&gt;The Purdue University Libraries and School of Information Studies were a sponsor of the 2021 Research Data Access and Preservation (RDAP) Summit 2021 and created this video as a salute to our medical professionals and researchers as well as data-sharing and data professionals, which was played during the opening of the conference.&lt;/p&gt;

&lt;p&gt;&lt;iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="315" src="https://www.youtube.com/embed/omPU43EQN5s" width="560"&gt;&lt;/iframe&gt;&lt;/p&gt;
description: COVID-19 Data and Healthcare Workers Salute for RDAP 2021 by Purdue University Libraries and School of Information Studies