cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/r7959fs8
title: The Index of Relative Rurality (IRR) : US County Data for 2000 and 2010

description: &lt;p&gt;The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality. The original version of the IRR was proposed by Waldorf (2006, &lt;a href="http://ageconsearch.umn.edu/handle/21383"&gt;http://ageconsearch.umn.edu/handle/21383&lt;/a&gt;) as an alternative to the traditional discrete threshold-based classifications, such as the Rural-urban Continuum Code and the Urban Influence Code. Waldorf and Kim (2015) designed an improved county level IRR for 2000 and 2010.&lt;/p&gt;

&lt;p&gt;The IRR has three major advantages over typology-based rurality measures. (1) It is spatially flexible in that it can be designed for any spatial units; (2) it is a relative measure and thus embeds rurality in the broader system of settlements; (3) it is analytically more easily handled than threshold-based typologies.  &lt;/p&gt;

&lt;p&gt;The IRR ranges between 0 (low level of rurality, i.e., urban) and 1 (most rural). Four steps are involved in its design:&lt;/p&gt;

&lt;ol&gt;
 &lt;li&gt;Identifying the dimensions of rurality: population size, density, remoteness, and built-up area.&lt;/li&gt;
 &lt;li&gt;Selecting measureable variables to adequately represent each dimension:
 &lt;ol style="list-style-type:lower-alpha;"&gt;
 &lt;li&gt;Size: logarithm of population size&lt;/li&gt;
 &lt;li&gt;Density:  logarithm of population density.&lt;/li&gt;
 &lt;li&gt;Remoteness: network distance.&lt;/li&gt;
 &lt;li&gt;Built-up area: urban area (as defined by the US Census Bureau) as a percentage of total land area.&lt;/li&gt;
 &lt;/ol&gt;
 &lt;/li&gt;
 &lt;li&gt;Re-scaling the variables onto bounded scales that range from 0 to 1.&lt;/li&gt;
 &lt;li&gt;Selecting a link function: unweighted average of the four re-scaled variable.&lt;/li&gt;
&lt;/ol&gt;

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

&lt;p&gt;Waldorf, Brigitte, and Ayoung Kim. 2015. &quot;Defining and Measuring Rurality in the US: From Typologies to Continuous Indices.&quot; Commissioned paper prepared for the National Academies of Sciences &lt;em&gt;Workshop on Rationalizing Rural Classifications&lt;/em&gt;, April 2015, Washington, DC &lt;a href="http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf"&gt;http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf&lt;/a&gt;&lt;/p&gt;
description: The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality. It is an alternative to the traditional discrete threshold-based classifications. The dataset includes the U.S. county-level IRR for 2000 and...
DOI: 10.4231/r7w37tjh
title: Density of ZFBS-Morph overlaps in the build mm9 of the mouse genome

description: &lt;p&gt;Imprinting Control Regions (ICRs) regulate the expression of a subset of genes in a parent-of-origin-specific manner.  Previous studies have established that imprinted ICRs include sites for interactions with ZFP57.  We have shown that a significant fraction of the known Differentially Methylated Regions (gDMRs) often encompass clusters of composite-DNA-elements consisting of the ZFP57 binding site (ZFBS) overlapping a subset of the MLL1 morphemes.  These elements are known as ZFBS-Morph overlaps. &lt;/p&gt;

&lt;p&gt;We wrote a Perl script in order to facilitate locating the genomic positions of clusters of ZFBS-Morph overlaps along the mammalian chromosomes.  This script produces density-plots, in which peaks mark the position of ZFBS-Morph-overlap clusters.  This publication offers a file that includes the density-plots obtained for the build mm9 of the mouse genome.  These plots are in a format (wig.gz) suitable for display as a custom track, at the UCSC genome browser.&lt;/p&gt;

&lt;p&gt;To obtain a copy of the file (BINA_Dens_ZFBS-Morph_overlaps_mm9.wig.gz), follow the listed steps:&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;At the top right corner of this page, click on download bundle; the file is compressed.&lt;/li&gt;
 &lt;li&gt;After download, decompress the file.
 &lt;ul&gt;
 &lt;li&gt;You will find two files: Readme.txt and a copy of BINA_Dens_ZFBS-Morph_overlaps_mm9.wig.gz&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;To view the plots at the UCSC genome browser (&lt;a href="https://genome.ucsc.edu/"&gt;https://genome.ucsc.edu/&lt;/a&gt;), select the build mm9 of the mouse genome.  You will find a map displaying the default tracks.&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;Under the map, click on &quot;manage custom tracks&rdquo;&lt;/li&gt;
 &lt;li&gt;Afterward, click on &quot;add custom track&quot;&lt;/li&gt;
 &lt;li&gt;Then click on choose file (on your computer select the file named BINA_Dens_ZFBS-Morph_overlaps_mm9.wig.gz), then click on submit.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The plot will display the density-peaks as brown vertical bars along the genomic DNA.&lt;/p&gt;

&lt;ul&gt;
 &lt;li&gt;NOTE:  the track will indicate &ldquo;no data&rdquo; for the genomic regions that do not include any density-peak.&lt;/li&gt;
 &lt;li&gt;In evaluations, we found that reliable peaks encompassed 3 or more ZFBS-Morph overlaps.  Peaks encompassing 2 overlaps could be true or false positive.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;In our studies, density-peaks correctly localized ~ 90% of the known ICRs/gDMRs in the mouse genome.  Therefore, these plots could offer a relatively robust strategy for locating candidate ICRs for novel imprinted genes. &lt;/p&gt;

&lt;p&gt;If you observe anomalies on this page, please contact bina@ purdue.edu&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;
description: Supplementary material for the publication entitled “Imprinted Control Regions include composite DNA elements consisting of the ZFP57 binding site overlapping MLL1 Morphemes” Bina M.  Genomics, 109: 265–273 (2017).
DOI: 10.4231/r7kk991c
title: Asymmetric polar localization dynamics of the serine chemoreceptor protein Tsr in Escherichia coli data

description: &lt;p&gt;Data for figures in PLoS ONE publication &quot;Asymmetric polar localization dynamics of the serine chemoreceptor protein Tsr in Escherichia coli&quot;, Oh et al., 2018&lt;/p&gt;
description: Data for figures in PLoS ONE publication "Asymmetric polar localization dynamics of the serine chemoreceptor protein Tsr in Escherichia coli", Oh et al., 2018
DOI: 10.4231/r70p0x89
title: Agricultural Producer Perspectives on the Adoption of Conservation Practices, Water Quality, and Climate Change in Big Creek and Lime Creek Watersheds

description: &lt;p&gt;The Mississippi River Basin (MRB) contains prime farmland that has produced high-value, nutrient intensive crops for food, fiber, and fuel. Prairie, forest and river ecosystems that support diverse plant and animal communities are also found within the MRB. Because of an increase and intensification of agricultural production in the MRB since European settlement, plant and animal habitats have degraded. &lt;/p&gt;

&lt;p&gt;To address water quality and wildlife issues in the MRB, a partnership between researchers at the US Geologic Service, Oregon State University, and Purdue University created a project to investigate the barriers and opportunities of adoption of conservation practices by agricultural producers in three sub-watersheds in the MRB. This investigation also gauged rates of adoption of different conservation practices which increase water quality or habitat that qualify for federal cost-share programs. Understanding what factors influence farmers&rsquo; management decisions can help researchers understand why practices are adopted or have a high likelihood of adoption now or in the future. Understanding decision making as it relates to adoption can inform water quality and habitat models that predict what may happen to hypoxic areas in the Gulf of Mexico in the future if there are precipitation and temperature changes in the MRB. &lt;/p&gt;

&lt;p&gt;The following data are the results of interviews with 36 agricultural producers in Big Creek watershed located in Posey County in southwestern Indiana and Lime Creek watershed located in Buchanan and Benton Counties in northeastern Iowa. Interviewees were asked to discuss their current use of conservation practices and their willingness to change their use of conservation practices in the future due to projected climate changes in the Upper Midwest.&lt;/p&gt;
description: Summary report and interview transcripts of ag producer perspectives on conservation practices, water quality and climate change in Indiana and Iowa.
DOI: 10.4231/r7dr2sp6
title: Three Dynamical Evolution Regimes for Coupled Ring-Satellite Systems and Implications for the Formation of the Uranian Satellite Miranda

description: &lt;p&gt;In coupled ring-satellite systems, satellites exchange angular momentum with both the primary through tides and with the ring through Lindblad torques, and may exchange material with the ring through accretion and tidal disruption.  Here we show that these coupled ring-satellite systems fall into three distinct dynamical regimes, which we refer to as &quot;Boomerang,&#39;&#39; &quot;Non-Boomerang,&#39;&#39; and &quot;Torque-Dependent.&#39;&#39;  These regimes are determined by the relative locations of the Fluid Roche Limit, the synchronous orbit, and the location of the maximum orbit that Lindblad torques can perturb a satellite.  Satellites that accrete from rings in the Boomerang regime remain interior to the synchronous orbit, and may be driven back toward the primary by tides.  Satellites that accrete from rings in the Non-Boomerang regime form exterior to the synchronous orbit, and are always driven away from the primary.  Satellites that accrete from rings in the Torque-Dependent regime may exhibit either Boomerang or Non-Boomerang behavior, depending on ring and satellite masses.  We consider both known and hypothesized ring/satellite systems in the solar system, and identify which of these three regimes they fall into.  We determine that Uranus exists within the Torque-Dependent regime.  Using the RING-MOONS code, which models the dynamical evolution of coupled ring-satellite systems, we show that the Uranian satellite Miranda may have accreted from a massive ancient Roche-interior ring and followed a Non-Boomerang-like dynamical path to its present orbit beyond the synchronous orbit, while satellites that accreted after Miranda followed Boomerang-like evolution paths and remained interior to the synchronous orbit.&lt;/p&gt;

&lt;p&gt;This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.&lt;/p&gt;
description: Coupled ring-satellite systems fall into three distinct dynamical regimes, “Boomerang,” “Non-Boomerang,” and “Torque-Dependent.” This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.
DOI: 10.4231/r74b2zjv
title: n-TARP Binary Clustering Code

description: &lt;p&gt;n-TARP is a method to cluster data into two clusters (binary clustering). It works by projecting the data on a random one-dimensional subspace and thresholding the projected data. This process is repeated n times, and the best clustering is selected. Thus the name n-TARP = Thresholding after Random Projection. This project is to develop and share code implementing the n-TARP clustering method.&lt;/p&gt;
description: Binary clustering algorithm based on random projections
DOI: 10.4231/r7gx48sf
title: Climate Projection Data for 21st century for the Western Lake Erie Basin (Indiana, Ohio, and Michigan)

description: &lt;p&gt;Lake Erie is the shallowest of the five great lakes in the United States. Water from Lake Erie supports living, recreation, and navigation for people living in surrounding regions and adds a lot to the U.S. Economy. With change in climatic conditions, there is a danger that the thick layer of algae proliferating on the surface of Lake Erie will continue to grow, if the cause of the problem is not controlled under the changing climate. Since climate regulates all the hydrologic processes, specifically movement of nutrients which cause algae to bloom, reliable future climate information is needed at finer resolution to study the impact of changing climate on water resources in Lake Erie.&lt;/p&gt;

&lt;p&gt;Climate data for sixteen different climate stations in Western Lake Erie Basin (WLEB) was generated as a part of the dissertation by Sushant Mehan, Ph.D. Candidate in the Purdue University Department of Agricultural and Biological Engineering, under the guidance of Dr. Margaret W. Gitau. All related datasets for this dissertation may be accessed here: &lt;a href="http://doi.org/10.4231/R70000B4"&gt;http://doi.org/10.4231/R70000B4&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The reliable climate future projections were developed for precipitation and temperature (maximum and minimum) from nine different climate models for sixteen-point stations using historic climate data from 1966-2015 obtained from National Climate Data Center (NCDC). The projections are corrected for their bias from 2006-2099.&lt;/p&gt;
description: Climate data from ground-based climate stations obtained from National Climate Data Center and bias corrected climate values from different climate models for different emission scenarios for the entire Western Lake Erie Basin.
DOI: 10.15468/dl.ybccp6
title: Occurrence Download

description: A dataset containing 1369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilea cadierei",
 "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 1369 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059416-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/r7c53j3w
title: Climate Projections for the Western Lake Erie Basin for medium and high emission scenarios for hydrologic modeling assessment studies (Indiana, Ohio, and Michigan)

description: &lt;p&gt;Lake Erie is the shallowest of the five great lakes in the United States. Water from Lake Erie supports living, recreation, and navigation for people living in surrounding regions and adds a lot to U.S. Economy. With change in climatic conditions, there is danger that the thick layer of algae proliferating on the surface of Lake Erie will continue to grow, if the cause of the problem is not controlled under the changing climate. Since climate regulates all the hydrologic processes, specifically movement of nutrients which cause algae to bloom, reliable future climate information is needed at finer resolution to study the impact of changing climate on water resources in Lake Erie.&lt;/p&gt;

&lt;p&gt;Climate data for sixteen different climate stations in Western Lake Erie Basin (WLEB) was generated as a part of the dissertation by Sushant Mehan, Ph.D. Candidate in the Purdue University Department of Agricultural and Biological Engineering, under the guidance of Dr. Margaret W. Gitau. All related datasets for this dissertation may be accessed here: &lt;a href="http://doi.org/10.4231/R70000B4"&gt;http://doi.org/10.4231/R70000B4&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The primary data for different climate models for correction of their bias using methodology in Mehan et al., (2018) were obtained from MACA (Multivariate Adaptive Constructed Analogs), available at the URL: &lt;a href="https://climate.northwestknowledge.net/MACA/"&gt;https://climate.northwestknowledge.net/MACA/&lt;/a&gt; (accessed on April 30, 2018).&lt;/p&gt;

&lt;p&gt;Mehan, S., Gitau, M. W., and Flanagan, D. C.: Development of reliable future climatic projections to assess hydro-meteorological implications in the Western Lake Erie Basin, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-204, in review, 2018.&lt;/p&gt;
description: The observed climate data and bias corrected climate projections based on data from sixteen different ground based climate stations from National Climatic Data Center for hydrology and climate change studies.
DOI: 10.4231/r73r0r42
title: Spatial-Temporal Climate Projection Data for 21st-century for the Western Lake Erie Basin (WLEB) for hydrologic studies

description: &lt;p&gt;Climate data for sixteen different climate stations in the Western Lake Erie Basin (WLEB) was generated as a part of complete dissertation by Sushant Mehan, Ph.D. Candidate in the Purdue University Department of Agricultural and Biological Engineering, under the guidance of Dr. Margaret W. Gitau. All related datasets for this dissertation may be accessed here: &lt;a href="http://doi.org/10.4231/R70000B4"&gt;http://doi.org/10.4231/R70000B4&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The reliable climate future projections were developed for precipitation and temperature (maximum and minimum) from nine different climate models for sixteen ground based climate stations using historic climate data from 1966-2005 obtained from National Climate Data Center (NCDC). The projections are corrected for their bias from 2006-2099. The ground-based climate stations used for analysis are Adrian, MI; Berne WWTP, IN; Bowling Green WWTP, OH; Bucyrus, OH; Decatur, IN, Defiance, OH; Findlay Airport, OH; Findlay WPCC, OH; Fort Wayne, IN; Lima WWTP, IN; Montpellier, OH; Norwalk, OH; Pandora, OH; Sandusky, OH; Vanwert, OH; and Wauseon, OH.&lt;/p&gt;

&lt;p&gt;Each station has temporal data for ground based climate station from 1966-2015 and future climate values for two different emission scenarios (medium- RCP 4.5 and high- RCP 8.5) for 2006-2099. The future climate timelines are decided based on rigorous time series analysis based on change detection analysis and regression models.&lt;/p&gt;

&lt;p&gt;RCP4.5 is climate projection scenario or Representative Concentration Pathway (RCP) climate scenario with radiative forcing (balance of incoming and outgoing energy in earth-atmosphere system, measured in W/m2) 4.5 W/m2 post 2100, which is equivalent to 650 ppm (parts per million) CO2 in the atmospheric system with an expected global temperature anomaly of 2.4&deg;C increase (Wayne, 2013).&lt;/p&gt;

&lt;p&gt;RCP8.5 is climate projection scenario or Representative Concentration Pathways (RCP) climate scenario with radiative forcing (balance of incoming and outgoing energy in earth-atmosphere system, measured in W/m2) 8.5 W/m2 in 2100, which is equivalent to 1370 ppm (parts per million) CO2 in the atmospheric system with an expected global temperature anomaly of 4.9 &deg;C increase (Wayne, 2013).&lt;/p&gt;
description: Temporal climate projection data for 2006-2099 for sixteen different climate stations for the Western Lake Erie Basin. This dataset includes data for climate stations in Indiana, Ohio, and Michigan.
DOI: 10.4231/r7cf9nb9
title: Functional diversity of predators and prey

description: &lt;p&gt;Functional diversity of beetle predators and their beetle prey are affected differently by forest habitat fragmentation. This study introduces new functional traits, uses a published workflow to define functional groups of predators and prey, and examines changes to this functional diversity to landscape habitat fragmentation.&lt;/p&gt;
description: Functional diversity of predators and prey in Ecological Applications 2018. Supplementary material, data, and metadata.
DOI: 10.4231/r7tt4p5d
title: Maize 282 Kernel Ion and Isotope BLUPs

description: &lt;p&gt;The 282 member maize association panel was grown under irrigated and non-irrigated conditions and kernels were phenotyped for ionome and isotope traits. Best linear unbiased predictions (BLUPs) of these phenotypes are presented in these files. A set of 300 inbred maize lines, including the lines in the 281 member maize association panel, were grown in Chile under sufficiently watered (irrigated) and drought conditions. Irrigated and drought plantings were in adjoining sections of the same field so that amount of water should have been the only difference between the two sets of plots. Mineral nutrient and trace elements from eight seeds per plot were assayed by inductively coupled plasma mass spectrometry (ICP-MS). Carbon and nitrogen isotopes were evaluated by elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer (IRMS).&lt;/p&gt;
description: The 282 member maize association panel was grown under irrigated and non-irrigated conditions and kernels were phenotyped for ionome and isotope traits.
DOI: 10.4231/r76m352t
title: Anti-Oedipus and other Reflections

description: &lt;p&gt;&lt;em&gt;The Deleuze Seminars&lt;/em&gt; is a collection of audio recordings, transcriptions, and English translations of, and supplemental materials from, the lectures French philosopher Gilles Deleuze gave during his career at the University of Paris 8.&lt;/p&gt;

&lt;p&gt;In the &ldquo;Anti-Oedipus and Other Reflections&rdquo; seminar, Deleuze reflects on his well-known book, &lt;em&gt;Anti-Oedipus: Capitalism and Schizophrenia&lt;/em&gt; (co-authored with F&eacute;lix Guattari, 1972; English translation 1977), and other concepts he had been developing up to and at that time.&lt;/p&gt;

&lt;p&gt;This seminar consists of 2 lectures given in late May and early June of 1980. Each lecture has been published as an individual dataset consisting of mp3 audio files of the recorded lecture, including an aggregate mp3 of the entire lecture, and a French transcription of the recordings available as both pdf and plain text files.&lt;/p&gt;

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

&lt;p&gt;&lt;em&gt;Les S&eacute;minaires de Deleuze&lt;/em&gt; sont une collection d&#39;enregistrements audio, de transcriptions et de traductions en anglais et de documents compl&eacute;mentaires des conf&eacute;rences que le philosophe fran&ccedil;ais Gilles Deleuze a donn&eacute; lors de sa carri&egrave;re &agrave; l&#39;Universit&eacute; de Paris 8.&lt;/p&gt;

&lt;p&gt;Dans le s&eacute;minaire &laquo;Anti-&OElig;dipe et autres r&eacute;flexions&raquo; Deleuze r&eacute;fl&eacute;chit sur son livre bien connu &lt;em&gt;Capitalisme et Schizophr&eacute;nie 1. L&#39;Anti-&OElig;dipe&lt;/em&gt; (co-auteur de F&eacute;lix Guattari, 1972 ; traduction anglaise 1977), et d&#39;autres concepts qu&#39;il avait d&eacute;velopp&eacute;s jusqu&#39;alors.&lt;/p&gt;
description: “Anti-Oedipus and Other Reflections” was a 2 lecture seminar given by French philosopher Gilles Deleuze at the University of Paris 8 in late May and early June of 1980.
DOI: 10.4231/r77w69fm
title: Blue light induces a neuroprotective gene expression program in Drosophila photoreceptors - Supporting data for Hall and Ma et al. (2018)

description: &lt;p&gt;The transcriptome of blue light-stressed&lt;em&gt; Drosophila melanogaster&lt;/em&gt; photoreceptors from one- and six-day-old adult flies was profiled using RNA-seq of photoreceptor nuclear RNA. This dataset contains the original qPCR data and summarized retinal degeneration data used to generate the figures presented in Hall and Ma et al. 2018 (BMC Neuroscience). It also contains R scripts used for analysis and the sequence motif files generated by HOMER (html and motif files).&lt;/p&gt;
description: Supporting and raw data for Hall and Ma et al. (2018) Blue light induces a neuroprotective gene expression program in Drosophila photoreceptors. BMC Neuroscience.