cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/pkc0-5k96
title: Raman Spectroscopy Data for Synechocystis

description: This dataset contains Raman spectral data files  and analytical measurements (GC-FID, FPLC, spectroscopy) for Synechocystis phenotype studies and is associated with the following publication:

Tanniche I, Collakova E, Denbow C, Senger RS (2019) Characterizing Synechocystis sp. PCC 6803 with RametrixTM (Part 1). Submitted to PeerJ.
DOI: 10.7294/nmjg-pq40
title: Efficacy of ground-applied SPLAT(R) GM treatments against gypsy moth

description: We developed a method for ground application of SPLAT® GM pheromone formulation against gypsy moth. The study was conducted in 2011 - 2014 in Goshen Wildlife Management Area, VA[UTM 637052 E, 4223294 N to 614250 E, 4192715 N, NAD 27, zone 17], and in 2016 in Blacksburg, VA [UTM 553841 E, 4121358 N, zone 17]. We observed that the dosages of 49.4 and 123.6 g AI/ha applied to 11x11 regular grids reduced trap catches by >90% compared to untreated control.
DOI: 10.7294/cnha-n469
title: Mapping Inequality

description: Mapping Inequality updates the study of New Deal America, the federal government, housing, and inequality for the twenty-first century. Mapping Inequality brings one of the country's most important archives to the public. HOLC's documents contain a wealth of information about how government officials, lenders, and real estate interests surveyed and ensured the economic health of American cities. It offers unprecedented online access to the national collection of 'security maps' and area descriptions produced between 1935 and 1940 by one of the New Deal's most important agencies, the Home Owners' Loan Corporation or HOLC (pronounced 'holk').

To view the data visualizations of security maps throughout the United States and for more information on New Deal America, HOLC, and redlining practices, visit https://dsl.richmond.edu/panorama/redlining/

Through the collection presented here, project researchers are providing access to some of the digital tools and interactive resources they are using in their own research, in the hope that the public will be able to understand the effects of federal housing policy and local implementation in their own communities. These materials include scans of HOLC security maps (.jpeg); HOLC security maps adjusted to reflect geogrpahic coordinates, called georectified maps here (a bundle of 4-5 files including .tfw, .tif, .tif.aux.xml, .tif.ovr, .tif.xml); digital map materials (a shapefile bundle of 5 files including .cpg, .dbf, .prj, .shp, .shx); and images of area descriptions (.jpeg). Georectified map and Shapefile bundle files are made for use in ArcGIS. The files are organized by city; see the ReadMe file for a detailed outline and description of files included in the data collection.
DOI: 10.7294/c1xn-qd46
title: Landscape context influences the bee conservation value of wildflower plantings

description: These are the data associated with the paper. These data were used to analyze the bee community on the Eastern Shore of Virginia and Maryland and Virginia Beach. In the study, we analyzed the effects of semi-natural habitat in the landscape and wildflower planting on conserving bee communities. We found that wildflower plots alone did not have an effect. However, when considered within the context of the landscape, there was a range of semi-natural habitat in which wildflower plots increased bee abundance relative to control fields. Landscape effects were also detected for species richness. 

Contact Chris McCullough (ctmccull@gmail.com) for questions
DOI: 10.7294/w4-zqvw-0t12
title: America Votes

description: (V1, superseded by new version, doi:doi:10.7294/bxxk-fn22) General election results and geospatial data for the Senate and House of Representatives for the 27th-115th U.S. Congresses. This dataset is a continuation of the Mapping Congress dataset which contains the general election results and geospatial data for the Senate and House of Representatives for the 22nd-52nd U.S. Congresses. In collaboration with members of the Richmond Digital Scholarship Lab, Robert K. Nelson and Justin Madron, LaDale Winling has made available the newest version of this collection via the 'Electing the House of Representatives' website.
DOI: 10.7294/15834846.v2
title: Data to accompany the paper ‘Redundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialist’, Ecosphere, In press, 2021.

description: <div><p>Wildlife
managers tasked with understanding habitat and resource selection at the
population level attempt to characterize patterns in nature that aid and inform
conservation. Resource selection functions (RSF), such as discrete choice
analyses, are the standard convention to characterize the effects of habitat
attributes on resource selection patterns. RSF are invaluable tools for in
wildlife management and conservation and have proven successful in numerous
studies. However, the analysis of small datasets using RSF becomes problematic
when attempting to account for for complex sources of variation and inclusion
of factors such as weather or intrinsic variation on target species’ response
may produce models with poor predictive ability. We compared the application of
generalized linear mixed modeling (GLMM) and redundancy analysis (RDA) on
Appalachian spotted skunk (Spilogale putorius putorius) den selection data at
four study sites within national forest and surrounding private lands in the
Appalachian Mountains of western Virginia and northeastern West Virginia. We
assessed the need for the inclusion of alternative sources of variation, (i.e.,
weather conditions and individual intrinsic variation) in addition to standard
habitat attributes to better identify sources of variation in den selection.
The RDA elucidated complex and opposing relationships whereby den type use was
based on reproductive status or weather condition, that were not evident in the
GLMM model that relied solely on habitat measures. Our results demonstrate the
importance of examining resource selection data using multivariate techniques
in addition to conventional discrete choice analyses to better understand
intricate habitat–species relationships, especially for small data sets.
Further, from our analyses, we propose that spotted skunks are neither a true
generalist nor specialist species. We introduce and define the term
‘conditional specialist’ to represent a species that is conditionally selective
of a given resource in response to one or more current environmental or
intrinsic conditions. </p><br></div>
DOI: 10.7294/w45h7d6c
title: Results from VT Faculty OA Practices Survey

description: Results from VT Faculty OA Practices Survey
DOI: 10.7294/9kxx-bf39
title: Delineating Precipitation Regions of the Contiguous United States from Cluster Analyzed Gridded Data

description: Spatially homogenous precipitation regions were delineated for the contiguous United States using a gridded dataset of daily precipitation. Seasonal means (1981 – 2010) of four variables, together characterizing seasonal precipitation, were computed and subjected to a principal component analysis (PCA). PCA reduced the original 30665 grid cells by 16 precipitation variables (four variables, four seasons) dataset. The standardized scores of the three retained principal components, which together retain 78.4 percent of the original dataset’s variance, were then subjected to three agglomerative hierarchical clustering techniques. Using an objective method, several cluster solutions were examined, and the average linkage 13-cluster solution was deemed optimal. The average linkage solution was then subjected to a k-means partitioning technique under the premise that objects are not considered for re-assignment during agglomerative hierarchical cluster procedures. The result is 15 precipitation regions across the contiguous United States. Results indicate that the regions successfully minimize intra-region variability and maximize inter-region variability when compared to the nine climate regions defined by the United States National Centers for Environmental Information. It is therefore suggested that the regions defined by this work will better serve research aimed at an improved understanding of long-term hydroclimate change and variability at regional-to-synoptic scales across the United States.
DOI: 10.7294/w49g5jrb
title: Senators' opinions and the state law on the issue of same-sex marriage in the United States

description: ''Senators opinion in terms of support, oppose and ambiguity on the issue of same-sex marriage in the United States.xlsx'' corresponds to the opinion of the 100 senators on the issue of same-sex marriage in the United States. For each year from 1996 to 2014, we assign values 1; -1 or 0 to each of these senators if the particular senator supports, opposes, or is ambiguous, respectively, on the issue of same-sex marriage in that year. Here ambiguity refers to the case where the particular senator neither supports nor opposes same-sex marriage. The opinions of the senators are considered during their period of tenure and are replaced with the new where the opinion values are modified accordingly. 26th of December of each year is chosen to log the opinion of the senators for that specific year, disregarding whether a senator is reassigned within the year. The data are collected from different sources (for example, personal candidate/senator websites, news media, and Wikipedia) and each supporter is identified with the first mention of support, opposition, or ambiguity publicly on this issue. In case a particular senator is identified as a supporter, then the senator is considered as a supporter for all successive years until the end of his or her tenure. ''State laws in terms of legal, ban and 'neither legal nor ban' on the issue of same-sex marriage in the United States.xlsx'' corresponds to the data for the state-law on the issue of same-sex marriage across 50 states. We assign values for state-law as 1; -1 or 0 if that particular state has legalized, banned, or neither banned nor legalized same-sex marriage, respectively.
DOI: 10.7294/4aq8-0955
title: Multiple stressors influence benthic macroinvertebrate communities in central Appalachian coalfield streams

description: Headwater streams impacted by surface coal mining and valley fill in the central Appalachian region of the eastern U.S. have characteristics not shared by reference-quality streams in the region. These include elevated salinity, often measured using specific conductance (SC) and often cited as a primary stressor of benthic macroinvertebrate communities. The objective of this study was to determine if benthic macroinvertebrate community composition differences from reference condition in mining-influenced streams could be attributed to potential stressors other than SC. Stream habitat characteristics were measured and calculated, and benthic macroinvertebrates were sampled from 12 central Appalachian streams. Multiple benthic macroinvertebrate community metrics, including Ephemeroptera density, richness, and composition were correlated strongly and negatively with SC. Predator density and scraper richness were correlated strongly and negatively with streamwater selenium concentrations. Clinger richness was correlated strongly and positively with large cobble-to-fines ratios in stream substrate and relative bed stability. These correlations are consistent with known ecotoxicological mechanisms revealed by prior studies. Improved understanding of how multiple habitat features are altered by mining and, in turn, impact community structure in headwater streams can inform water resource management in mining areas.
DOI: 10.7294/w4pk0dbv
title: Development of a Sediment Sampling Free Fall Penetrometer Add-on Unit for Geotechnical Characterization of Seabed Surface Layers

description: The free fall penetrometer, BlueDrop was deployed in 4 main locations. The first location is the Louisiana Wetlands, LA. In total, 290 deployments were conducted. The second location is the Field Research Facility beach in Duck, NC.  81 deployments were conducted in 1 day from the pier of the research facility. The third location was York River, VA, where 60 deployments were conducted. The coordinates of each deployment and the penetrometer measurements can be found in the files section. Readme file was also uploaded to guide the users through the dataset.
DOI: 10.7294/14838213.v1
title: Files associated with: GBS analysis of Orobanche crenata populations in Algeria reveals genetic differentiation

description: C8BH4ANXX_7_fastq.gz.keys: This is the demultiplexing file C8BH4ANXX_7 for the compressed datafile associated with BioProject PRNJ742536<div><br></div><div><div>farah_Rscript.R: Rscript file for data processing</div></div><div><br></div><div>farah.gbs.structure.input_5miss.stru:<b> </b>input data file for the Rscript<br></div><div><br></div>
DOI: 10.7294/w4vd6wc6
title: LegacyTreeData

description: A repository of individual tree measurements of volume, weight, and physical properties. As of May 1, 2016 the collection included records from over 250,000 trees, most of which were felled and carefully measured for stem taper and volume. Weight measurements were collected on over 20,000 trees by felling and weighing, including the stem wood, bark branches, and foliage. The collection spans over 100 years of detailed stem measurements conducted by private companies, government, and university researchers. Where possible the information compiled here includes detailed records such as study plans and field notes. A searchable, downloadable database is available online at http://www.legacytreedata.org/.
DOI: 10.7294/wsdx-aj44
title: Data files for "Mobility and infectiousness in the spatial spread of an emerging pathogen”

description: These files contain the datafile, R files, and metadata file  for the paper “Mobility and infectiousness in the spatial spread of an emerging pathogen”, published in the Journal of Animal Ecology. This article was pre-printed on bioRxiv with doi: https://doi.org/10.1101/2020.05.07.082651.
DOI: 10.7294/16587179.v3
title: Simulation data for replicating the results and figures of the study, "A general metric for the similarity of both stochastic and deterministic system dynamics"

description: <p>
This
dataset allows for the replication of all results and figures
appearing in the paper "A
general metric for the similarity of both stochastic and
deterministic system dynamics"
forthcoming in the journal <i>Entropy</i>.
The scripts for running all experiments and for generating figures
can be found at <a href="https://github.com/jantzen/distance_metric">https://github.com/jantzen/distance_metric</a>,
and code for the methods tested in these experiments is attainable
through the PyPI package "eugene" (e.g., via "pip
install eugene") or at <a href="https://github.com/jantzen/eugene">https://github.com/jantzen/eugene</a>.
However, by themselves these scripts will not exactly reproduce the
data we reported. This is because most of our numerical experiments
involve a stochastic component such that one cannot generate exactly
the same data twice. We have therefore preserved in this dataset the
specific results of the experimental runs reported in the published
study.</p>
<p>
<br>

</p>
<p>
To
replicate a figure from the paper, extract the  files in the relevant
zip archive  into the same directory as the figure generation script,
and rename the extracted data file folder "data". So, for
example, to run the generate_figures.py script, download the
generate_data.zip file and extract in the same directory as the
figure script. Change the name of the resulting "generate_data"
folder to "data", and then run "python3
generate_figures.py".</p><p><br></p><p>The
codes at the GitHub repository links provided above, available on 13 September 2021, are included in this dataset as zip files: eugene-master.zip and
distance_metric-main.zip</p><p><br></p>
DOI: 10.7294/w4vd6wmb
title: Advancement of using portable free fall penetrometers in energetic sandy nearshore areas

description: The free fall Penetrometer BlueDrop (BlueDrop image) was deployed in three main locations. The first location is The Field Research Facility beach in Duck, North Carolina. Here, 80 deployments were conducted (FRF_Beach_Deployments image). The second and third locations are near Yakutat City, Alaska. In these locations, 150 deployments were conducted in Cannon Beach and 150 deployments were conducted in Yakutat Bay (Cannon_Beach_&_Yakutat_Bay_Deployments image). The coordinates of each deployment, the measurements by the BlueDrop and the analyses results are can be found in the Files section. More information about the files content and structure, please look at the readme file associating the data.
DOI: 10.7294/w4-95a9-0k57
title: Data_Stress-mediated variation in growth and adaptive ploidy plasticity in an invasive grass

description: Localized increase in cellular ploidy—endopolyploidy— is a common phenomenon during development and is also a primary response to stressful environments for many plant and animal species. Yet the evolvability of endopolyploidy as a plant stress response and its ecological consequences remain important open questions. Here we use 23 populations of a globally invasive grass collected from agricultural and non-agricultural habitat types to test for intraspecific variation in endopolyploidy levels, and how it corresponds with plant performance in response to three major stresses (herbicide exposure, simulated herbivory/mowing, and competition). Overall, plants significantly increased cell ploidy in response to herbicides and simulated herbivory/mowing, but not to competition. We found distinct phenotypic and endopolyploidy responses between plants from agricultural and non-agricultural habitats following herbicide application—suggesting that genotypic variation in ploidy plasticity may be adaptive, involved in compensatory growth responses, and influence plant-plant interactions. Populations with lower levels of endopolyploidy performed better in the field under intense competition with weeds, whereas populations with more endopolyploidy performed better under competition with corn. Together, our results shed light on an understudied adaptive response which plays an important role in how plants interact with each other, mitigate stress, and adapt to different environments.
DOI: 10.7294/w4765chr
title: (V1, superseded by new version, doi:10.7294/kbtb-8v48) Supplementary Material for Shorter et. al. 2018

description: (V1, superseded by new version, doi:10.7294/kbtb-8v48)This supplementary dataset includes two files: an Appendix A with the materials examined data for all the Andrognathus millipede specimens used in this study and an Appendix B, which contains the georeferenced locality data from literature records for the genus Andrognathus. This data was used in the paper 'Cryptic diversity in Andrognathus corticarius Cope, 1869 and description of a new Andrognathus species from New Mexico (Diplopoda, Platydesmida, Andrognathidae)' by Shorter et. al. 2018.
DOI: 10.7294/15834846.v1
title: Data to accompany the paper ‘Redundancy analysis reveals complex den use patterns by eastern spotted skunks, a conditional specialist’, Ecosphere, In press, 2021.

description: <div><p>Wildlife
managers tasked with understanding habitat and resource selection at the
population level attempt to characterize patterns in nature that aid and inform
conservation. Resource selection functions (RSF), such as discrete choice
analyses, are the standard convention to characterize the effects of habitat
attributes on resource selection patterns. RSF are invaluable tools for in
wildlife management and conservation and have proven successful in numerous
studies. However, the analysis of small datasets using RSF becomes problematic
when attempting to account for for complex sources of variation and inclusion
of factors such as weather or intrinsic variation on target species’ response
may produce models with poor predictive ability. We compared the application of
generalized linear mixed modeling (GLMM) and redundancy analysis (RDA) on
Appalachian spotted skunk (Spilogale putorius putorius) den selection data at
four study sites within national forest and surrounding private lands in the
Appalachian Mountains of western Virginia and northeastern West Virginia. We
assessed the need for the inclusion of alternative sources of variation, (i.e.,
weather conditions and individual intrinsic variation) in addition to standard
habitat attributes to better identify sources of variation in den selection.
The RDA elucidated complex and opposing relationships whereby den type use was
based on reproductive status or weather condition, that were not evident in the
GLMM model that relied solely on habitat measures. Our results demonstrate the
importance of examining resource selection data using multivariate techniques
in addition to conventional discrete choice analyses to better understand
intricate habitat–species relationships, especially for small data sets.
Further, from our analyses, we propose that spotted skunks are neither a true
generalist nor specialist species. We introduce and define the term
‘conditional specialist’ to represent a species that is conditionally selective
of a given resource in response to one or more current environmental or
intrinsic conditions. </p><br></div>
DOI: 10.7294/17192963.v3
title: Inversion Results associated with JGR Solid Earth Publication: Joint Inversion of GNSS and GRACE for Terrestrial Water Storage Change in California by Carlson et al.

description: This dataset contains results from an inversion of deformation data and GRACE data for terrestrial water storage change over California from January 2003 - December 2016.<div><br></div><div>This dataset is for plotting or using terrestrial water storage change
calculated across California and western Nevada from January 2003 – December
2016 using GNSS vertical deformation and GRACE JPL mascon products. The
inversion results are given for an inversion using only GNSS data as well as a
joint inversion of GNSS and GRACE. Each set of inversion results corresponds to
the same dates given in DT.csv and grid cell locations given by
GridCenters.csv. All inversion results are given in meter equivalent water
height.<br></div>
DOI: 10.7294/p0hn-ac48
title: Tree swallow observational study and experiment dataset

description: This dataset was used to investigate the temporal dynamics of the
reproductive microbiome, as well as to assess how individual variation in
reproductive behavior and age influence the assembly and maintenance of the
reproductive microbiome of female tree swallows.