Dataset Search Results

This dataset contains all the numerical results (digital elevation models) that are presented in the paper "Landscape evolution models using the stream power incision model show unrealistic behavior when m/n equals 0.5." The paper can be found at: http://www.earth-surf-dynam-discuss.net/esurf-2017-15/ The paper has been accepted, but the most up to date version may not be available at the link above. If so, please contact Jeffrey Kwang at jeffskwang@gmail.com to obtain the most up to date manuscript.

Data used for Zaya et al. (2018), published in Invasive Plant Science and Management DOI 10.1017/inp.2017.37, are made available here. There are three spreadsheet files (CSV) available, as well as a text file that has detailed descriptions for each file ("readme.txt"). One spreadsheet file ("prices.csv") gives pricing information, associated with Figure 3 in Zaya et al. (2018). The other two spreadsheet files are associated with the genetic analysis, where one file contains raw data for biallelic microsatellite loci ("genotypes.csv") and the other ("structureResults.csv") contains the results of Bayesian clustering analysis with the program STRUCTURE. The genetic data may be especially useful for future researchers. The genetic data contain the genotypes of the horticultural samples that were the focus of the published article, and also genotypes of nearly 400 wild plants. More information on the location of the wild plant collections can be found in the Supplemental information for Zaya et al. (2015) Biological Invasions 17:2975–2988 DOI 10.1007/s10530-015-0926-z. See "readme.txt" for more information.

These are the results of an 8 month cohort study in two commercial dairy herds in Northwest Illinois. From each herd, 50 cows were selected at random, stratified over lactations 1 to 3. Serum from these animals was collected every two months and tested for antibodies to Bovine Leukosis Virus, Neospora caninum, and Mycobacterium avium subsp. paratuberculosis. Animals that left the herd during the study were replaced by another animal in the same herd and lactation. At the last sampling, serum neutralization assays were performed for Bovine Herpesvirus type 1 and Bovine Viral Diarrhea virus type 1 and 2. Production data before and after sampling was collected for the entire herd from PCdart.

This dataset matches to a thesis of the same title: Can fair use be adequately taught to Librarians? Assessing Librarians' confidence and comprehension in explaining fair use following an expert workshop.

Objectives: This study follows-up on previous work that began examining data deposited in an institutional repository. The work here extends the earlier study by answering the following lines of research questions: (1) what is the file composition of datasets ingested into the University of Illinois at Urbana-Champaign campus repository? Are datasets more likely to be single file or multiple file items? (2) what is the usage data associated with these datasets? Which items are most popular? Methods: The dataset records collected in this study were identified by filtering item types categorized as "data" or "dataset" using the advanced search function in IDEALS. Returned search results were collected in an Excel spreadsheet to include data such as the Handle identifier, date ingested, file formats, composition code, and the download count from the item's statistics report. The Handle identifier represents the dataset record's persistent identifier. Composition represents codes that categorize items as single or multiple file deposits. Date available represents the date the dataset record was published in the campus repository. Download statistics were collected via a website link for each dataset record and indicates the number of times the dataset record has been downloaded. Once the data was collected, it was used to evaluate datasets deposited into IDEALS. Results: A total of 522 datasets were identified for analysis covering the period between January 2007 and August 2016. This study revealed two influxes occurring during the period of 2008-2009 and in 2014. During the first time frame a large number of PDFs were deposited by the Illinois Department of Agriculture. Whereas, Microsoft Excel files were deposited in 2014 by the Rare Books and Manuscript Library. Single file datasets clearly dominate the deposits in the campus repository. The total download count for all datasets was 139,663 and the average downloads per month per file across all datasets averaged 3.2. Conclusion: Academic librarians, repository managers, and research data services staff can use the results presented here to anticipate the nature of research data that may be deposited within institutional repositories. With increased awareness, content recruitment, and improvements, IRs can provide a viable cyberinfrastructure for researchers to deposit data, but much can be learned from the data already deposited. Awareness of trends can help librarians facilitate discussions with researchers about research data deposits as well as better tailor their services to address short-term and long-term research needs.

The dataset contains processed model fields used to generate data, figures and tables in the Journal of Geophysical Research article "Investigating the linear dependence of direct and indirect radiative forcing on emission of carbonaceous aerosols in a global climate model." The processed data are monthly averaged cloud properties (CCN, CDNC and LWP) and forcing variables (DRF and IRF) at original CAM5 spatial resolution (1.9° by 2.5°). Raw model output fields from CAM5 simulations are available through NERSC upon request. Please find more detailed information in the ReadMe file.

This dataset provides the time series (Aug. - Sep. 2016) data of sun-induced chlorophyll fluorescence, photosynthesis, photosynthetically active radiation, and associated vegetation indices that were collected in a soybean field in the farm of University of Illinois at Urbana and Champaign. Data contain 255 records and 6 variables (PPFD-IN: Photosynthetically active radiation; GPP-Gross Primary Production; SIF: Sun-Induced Fluorescence; NDVI: Normalized Difference Vegetation Index; Rededge: Rededge Index; Redege_NDVI: Rededge Normalized Difference Vegetation Index). The timestamp uses the standard time. Data are available from 8 am to 4 pm (corresponding to 9 am to 5 pm local time) every day.

Datasets used in the study, "OCTAL: Optimal Completion of Gene Trees in Polynomial Time," under review at Algorithms for Molecular Biology. Note: DS_STORE file in 25gen-10M folder can be disregarded.

Table S1. Pollen types identified in the BCI and PNSL pollen rain data sets. Pollen types were identified to species when possible and assigned a life form based on descriptions provided in Croat, T.B. (1978). Taxa from BCI and PNSL were assigned a 1 if present in forest census data or a 0 if absent. The relative representation of each taxon has been provided for each extended record and by dry and wet season representation respectively. CA loadings are provided for axes 1 and 2 (Fig. 1).

This dataset contains hourly traffic estimates (speeds) for individual links of the New York City road network for the years 2010-2013, estimated from New York City Taxis.

Monthly water withdrawal records (total pumpage and per-capita consumption) for the City of Austin, Texas (2000-2014). Data were provided by Austin Water Utility.

This dataset contains ground motion data for Newmark Structural Engineering Laboratory (NSEL) Report Series 048, "Modification of ground motions for use in Central North America: Southern Illinois surface ground motions for structural analysis". The data are 20 individual ground motion time history records developed at each of the 10 sites (for a total of 200 ground motions). These accompanying ground motions are developed following the detailed procedure presented in Kozak et al. [2017].

This is the dataset used in the Journal of Ecology publication of the same name. It is a site by species matrix of species relative abundances. The file BH.veg.data.csv contains a site by species matrix of species relative abundance (percent cover across all sampling quadrats within site). Data under the heading Year refers to sampling periods. Year 1 refers to the first set of samples taken between 1997 and 2000, Year 2 refers to the second set taken between 2002 and 2005, Year 3 refers to the third set taken between 2007 and 2010, and Year 4 refers to the fourth set taken between 2012 and 2015. All sites met Critical Trends Assessment Program (CTAP) size criteria of being at least 2 ha in size with a minimum of 500 m2 of suitable sampling area. The data in file BH.site.location.csv contains Public Land Survey System ranges and townships in which specific sites were located. All sites were located within the U.S. state of Illinois. More information about this dataset: Interested parties can request data from the Critical Trends Assessment Program, which was the source for the data on the wetlands in this study. More information on the program and data requests can be obtained by visiting the program webpage. Critical Trends Assessment Program, Illinois Natural History Survey. http://wwx.inhs.illinois.edu/research/ctap/

This file contains the supplemental appendix for the article "Farmer Preferences for Agricultural Soil Carbon Sequestration Schemes" published in Applied Economic Policy and Perspectives (accepted 2017).

Spire angle data for sinistral whelks of the family Busyconidae. Data focuses on spire angles, with some data on total shell length. Locality information is present for all modern specimens.

This dataset contains the PartMC-MOSAIC simulations used in the article “Plume-exit modeling to determine cloud condensation nuclei activity of aerosols from residential biofuel combustion”. The data is organized as a set of folders, each folder representing a different scenario modeled. Each folder contains a series of NetCDF files, which are the output of the PartMC-MOSAIC simulation. They contain information on particle and gas properties, both of the biofuel burning plume and background. Input files for PartMC-MOSAIC are also included. This dataset was used during the open review process at Atmospheric Chemistry and Physics (ACP) and supports both the discussion paper and final article.

Table S2. Raw pollen counts and climatic data for each seasonal sampling period. Climatic data reflects the average daily conditions observed over the duration samples were collected (˚C/day, mm/day, MJ/m2/day). Lycopodium counts and counts for each pollen taxon reflect the aggregated pollen sum from four sampling heights.

Table S3. Mean slope response for each predictive model used in the ecoinformatic analysis. Mean responses are provided for each seasonal and annual pollen data set analyzed from BCI and PNSL and are summarized by life form. Calculated p-values are provided for each model.

Datasets used in the study, "Optimal completion of incomplete gene trees in polynomial time using OCTAL," presented at WABI 2017.

Dataset includes maternal antigen treatment and early-life antigen treatment for male zebra finches. Also includes data on beak coloration, measures of song complexity for each male, and female responses to treated males. Male beak color and song metadata: * MATID= Maternal Identity * MATTRT=Maternal antigen treatment prior to egg laying (KLH=keyhole limpet hemocyanin, LPS= lipopolysaccharide, PBS=phosphate buffered saline) * YGTRT= Young antigen treatment post-hatch (KLH=keyhole limpet hemocyanin, LPS= lipopolysaccharide, PBS=phosphate buffered saline)) * NESTBANDNUM= Nestling band number * Haptoglobin=haptoglobin levels at day 28 (mg/ml) * Mean TE= Mean number of total elements in that male's song * TE (z)= Z-transformed total elements * Mean UE=Mean number of unique elements in the song * UE (z)= z-transformed unique elements * mean phrases= Mean number of song phrases * Phrases (z)= z-transformed song phrases * Mean D= Mean song duration in seconds * D (z)=z-transformed song duration * B2 standard=beak brightness standardized so that lower values reflect less bright beaks * B2 (z)=z-transformed brightness * S1R standard= beak saturation at high wavelengths standardized so that lower values reflect less red beaks * S1R (z)=z-transformed S1R * S1U standard= beak saturation at low wavelengths standardized so that lower values reflect less red beaks * S1U (z)=z-transformed S1U * H4B standard= beak hue standardized so that lower values reflect less red beaks * H4B (z)=z-transformed H4B Female choice metadata: * Control Bird=PBS denotes that all control males received phosphate buffered saline * Treatment Bird= Treatment the male received (keyhole limpet hemocyanin (KLH) or lipopolysaccharide (LPS)) * Beak Wipes Control=# of beak wipes the female performed when on the control male side * Beak Wipes Treatment=# of beak wipes the female performed when on the "treatment male" side * Hops Control=# of hops female performed when on the control male side * Hops Treatment=# of hops female performed when on the treatment male side * Time Spent Near Control=amount of time (sec) female spent on the control male side * Time Spent Near Treatment=amount of time (sec) the female spent on the treatment male side

Data (fish growth, prey responses) from a series of experiments examining interspecific interactions between native and invasive juvenile fishes.

This data was collected between 2004 and 2010 at White River National Wildlife Refuge (WRNWR) and Saint Francis National Forest (SF). It was collected as part of two master’s and one PhD project at Arkansas State University USA studying Swainson’s Warbler habitat use, survival, and body condition.

GBS data from diverse sorghum lines. Project funded by DOE, ARPA-E, and startup funds to PJ Brown.

GBS data from biparental sorghum populations provided by Dr. Bill Rooney, TAMU. Data produced and analyzed by Pradeep Hirannaiah to study recombination in sorghum. Funding for this study was provided by the Sorghum Checkoff.

GBS data from diverse sorghum lines. Project funded by DOE, ARPA-E, and startup funds to PJ Brown.