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Illinois Data Bank Dataset Search Results
Dataset Search Results
published: 2023-05-08
Stickley, Samuel; Fraterrigo, Jennifer (2023): Microclimate Species Distribution Models for Plethodontid Salamanders in Great Smoky Mountains National Park. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1549958_V1
This dataset includes microclimate species distribution models at a ~3 m2 spatial resolution and free-air temperature species distribution models at ~0.85 km2 spatial resolution for three plethodontid salamander species (Demognathus wrighti, Desmognathus ocoee, and Plethodon jordani) across Great Smoky Mountains National Park. We also include heatmaps representing the differences between microclimate and free-air species distribution models and polygon layers representing the fragmented habitat for each species' predicted range. All datasets include predictions for 2010, 2030, and 2050.
keywords:
Ecological niche modeling, microclimate, species distribution model, spatial resolution, range loss, suitable habitat, plethodontid salamanders, montane ecosystems
published: 2019-09-17
Mishra, Shubhanshu (2019): Trained models for multi-task multi-dataset learning for sequence prediction in tweets. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0934773_V1
Trained models for multi-task multi-dataset learning for sequence tagging in tweets. Sequence tagging tasks include POS, NER, Chunking, and SuperSenseTagging. Models were trained using: <a href="https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py">https://github.com/socialmediaie/SocialMediaIE/blob/master/SocialMediaIE/scripts/multitask_multidataset_experiment.py</a> See <a href="https://github.com/socialmediaie/SocialMediaIE">https://github.com/socialmediaie/SocialMediaIE</a> and <a href="https://socialmediaie.github.io">https://socialmediaie.github.io</a> for details. If you are using this data, please also cite the related article: Shubhanshu Mishra. 2019. Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. In Proceedings of the 30th ACM Conference on Hypertext and Social Media (HT '19). ACM, New York, NY, USA, 283-284. DOI: https://doi.org/10.1145/3342220.3344929
keywords:
twitter; deep learning; machine learning; trained models; multi-task learning; multi-dataset learning;
published: 2024-02-26
Harsh, Vipul; Zhou, Wenxuan; Ashok, Sachin; Mysore, Radhika Niranjan; Godfrey, Brighten; Banerjee, Sujata (2024): Murphy traces. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6641912_V1
Traces created using DeathStarBench (https://github.com/delimitrou/DeathStarBench) benchmark of microservice applications with injected failures on containers. Failures consist of disk/CPU/memory failures.
keywords:
Murphy;Performance Diagnosis;Microservice;Failures
published: 2020-12-02
Yang, Pan; Cai, Ximing; Khanna, Madhu (2020): Farmers’ Perceptions of Marginal Land for Biofuel Crops . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3074705_V1
The dataset includes the survey results about farmers’ perceptions of marginal land availability and the likelihood of a land pixel being marginal based on a machine learning model trained from the survey. Two spreadsheet files are the farmer and farm characteristics (marginal_land_survey_data_shared.xlsx), and the existing land use of marginal lands (land_use_info_sharing.xlsx). <b>Note:</b> the blank cells in these two spreadsheets mean missing values in the survey response. The GeoTiff file includes two bands, one the marginal land likelihood in the Midwestern states (0-1), the other the dominant reason of land marginality (0-5; 0 for farm size, 1 for growing season precipitation, 2 for root zone soil water capacity, 3 for average slope, 4 for growing season mean temperature, and 5 for growing season diurnal range of temperature). To read the data, please use a GIS software such as ArcGIS or QGIS.
keywords:
marginal land; survey
published: 2021-05-14
Abbamonte, Peter (2021): Data for Anomalous density fluctuations in a strange metal. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2888536_V1
This is the complete dataset for the "Anomalous density fluctuations in a strange metal" Proceedings of the National Academy of Sciences publication (https://doi.org/10.1073/pnas.1721495115). This is an integration of the Zenodo dataset which includes raw M-EELS data. <b>METHODOLOGICAL INFORMATION</b> 1. Description of methods used for collection/generation of data: Data have been collected with a M-EELS instrument and according to the data acquisition protocol described in the original PNAS publication and in SciPost Phys. 3, 026 (2017) (doi: 10.21468/SciPostPhys.3.4.026) 2. Methods for processing the data: Raw data were collected with a channeltron-based M-EELS apparatus described in the reference PNAS publication and analyzed according to the procedure outlined both in the PNAS paper and in SciPost Phys. 3, 026 (2017) (doi: 10.21468/SciPostPhys.3.4.026). The raw M-EELS spectra at each momentum have been subject to minor data processing involving: (a) averaging of different acquisitions at the same conditions, (b) energy binning, (c) division of an effective Coulomb matrix element (which yields a structure factor S(q,\omega)), (d) antisymmetrization (which yields the imaginary chi) All these procedures are described in the PNAS paper. 3. Instrument- or software-specific information needed to interpret the data: These data are simple .txt or .dat files which can be read with any standard data analysis software, notably Python notebooks, MatLab, Origin, IgorPro, and others. We do not include scripts in order to provide maximum flexibility. 4. Relationship between files, if important: We divided in different folders raw data, structure factors and imaginary chi. <b>DATA-SPECIFIC INFORMATION</b> There are 8 folders within the Data_public_deposition_v1.zip. Each folder contain data needed to create the corresponding figure in the publication. <b>1. Fig1:</b> This folder contains 21 DAT files needed to plot the theory data in panels C and D, following this naming conventions: [chiA]or[chiB]or[Pi]_q_number.dat With chiA is the imaginary RPA charge susceptibility with a Coulomb interaction of electronically weakly coupled layers chiB is the imaginary RPA charge susceptibility with the usual 4\pi e^2/q^2 Coulomb interaction. Pi is the imaginary Lindhard polarizability. q is momentum in reciprocal lattice units Number is the numerical momentum value in reciprocal lattice units <b>2. Fig2:</b> Files needed to plot Fig. 2 of the PNAS paper. Contains 3 folders as listed below. The files in this folder are named following this convention: Bi2212_295K_(1,-1)_50eV_161107_q_number_2.16_avg.dat, 295K is the sample temperature (1,-1) is the momentum direction in reciprocal lattice units 50 eV is the incident e beam energy 161107 is the start date of the experiment in yymmdd format Q is the momentum Number is the momentum in reciprocal lattice units 2.16 is the energy range covered by the data in eV Avg identifies averaged data ImChi: is the imaginary susceptibility obtained by antisymmetryzing the structure factor Raw_avg_data: raw averaged M-EELS spectra Sqw: Structure factors derived from the M-EELS spectra <b>3. Fig3:</b> Files needed to plot Fig. 3 of the PNAS paper. OP/ OD prefix identifies optimally doped or overdosed sample data, respectively. ImChi: is the imaginary susceptibility obtained by antisymmetryzing the structure factor Raw_avg_data: raw averaged M-EELS spectra Sqw: Structure factors derived from the M-EELS spectra <b>4. Fig4:</b> Files needed to plot Fig. 4 of the PNAS paper. The _fit_parameters.dat file contains the fit parameters extracted according to the fit procedure described in the manuscript and at all momenta. ImChi: is the imaginary susceptibility obtained by antisymmetryzing the structure factor Raw_avg_data: raw averaged M-EELS spectra Sqw: Structure factors derived from the M-EELS spectra <b>5. FigS1:</b> Files needed to plot Fig. S1 of the PNAS paper. There are 5 files in this folder. DAT files are M-EELS data following the prior naming convention, while the two .txt files are digitized data from N. Nücker, U. Eckern, J. Fink, and P. Müller, Long-Wavelength Collective Excitations of Charge Carriers in High-Tc Superconductors, Phys. Rev. B 44, 7155(R) (1991), and K. H. G. Schulte, The interplay of Spectroscopy and Correlated Materials, Ph.D. thesis, University of Groningen (2002). <b>6. FigS2:</b> Files needed to plot Fig. S2 of the PNAS paper. ImChi: is the imaginary susceptibility obtained by antisymmetryzing the structure factor Raw_avg_data: raw averaged M-EELS spectra Sqw: Structure factors derived from the M-EELS spectra <b>7. FigS3:</b> Files needed to plot Fig. S3 of the PNAS paper. There are 2 files in this folder: 20K_phi_0_q_0.dat: is a M-EELS raw intensity at zero momentum transfer on Bi2212 at 20 K 295K_phi_0_q_0.dat: is a M-EELS raw intensity at zero momentum transfer on Bi2212 at 295 K <b>8. FigS4:</b> Files needed to plot Fig. S4 of the PNAS paper. The _fit_parameters.dat file contains the fit parameters extracted according to the fit procedure described in the manuscript and at all momenta. ImChi: is the imaginary susceptibility obtained by antisymmetryzing the structure factor Raw_avg_data: raw averaged M-EELS spectra Sqw: Structure factors derived from the M-EELS spectra
keywords:
Momentum resolved electron energy loss spectroscopy (M-EELS); cuprates; plasmons; strange metal
published: 2022-09-29
Merrill, Loren; Jones, Todd; Brawn, Jeffrey; Ward, Michael (2022): Merrill et al. ECE-2021-05-00793.R1. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8719858_V1
Dataset associated with Merrill et al. ECE-2021-05-00793.R1 submission: Early life patterns of growth are linked to levels of phenotypic trait covariance and post-fledging mortality across avian species. Excel CSV files with all of the data used in analyses and file with descriptions of each column.
keywords:
canalization; developmental flexibility; early-life stress; nest predation; phenotypic correlation; trait covariance
published: 2022-10-14
Zhou, Shan; Li, Jiahui; Lu, Jun; Liu, Haihua; Kim, Ji-Young; Kim, Ahyoung; Yao, Lehan; Liu, Chang; Qian, Chang; Hood, Zachary D. ; Lin, Xiaoying; Chen, Wenxiang; Gage, Thomas E. ; Arslan, Ilke; Travesset, Alex; Sun, Kai; Kotov, Nicholas A.; Chen, Qian (2022): Chiral Assemblies of Pinwheel Superlattices on Substrates. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0873473_V1
This dataset is the raw data including SEM, TEM, PINEM images and FDTD simulation as well as pairwise interaction calculation results.
published: 2022-10-14
Dietrich, Christopher; Dmitriev, Dmitry; Takiya, Daniela; Thomas, Michael; Webb, Michael D; Zahniser, James; Zhang, Yalin (2022): NEXUS file for morphology-based phylogenetic analysis of Membracoidea (Hemiptera: Cicadellidae). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6965685_V1
The Membracoidea_morph_data_Final.nex text file contains the original data used in the phylogenetic analyses of Dietrich et al. (Insect Systematics and Diversity, in review). The text file is marked up according to the standard NEXUS format commonly used by various phylogenetic analysis software packages. The file will be parsed automatically by a variety of programs that recognize NEXUS as a standard bioinformatics file format. The complete taxon names corresponding to the 131 genus names listed under “BEGIN TAXA” are listed in Table 1 in the included PDF file “Taxa_and_characters”; the 229 morphological characters (names abbreviated under under “BEGIN CHARACTERS” are fully explained in the list of character descriptions following Table 1 in the same PDF). The data matrix follows “MATRIX” and gives the numerical values of characters for each taxon. Question marks represent missing data. The lists of characters and taxa and details on the methods used for phylogenetic analysis are included in the submitted manuscript.
keywords:
leafhopper; treehopper; evolution; Cretaceous; Eocene
published: 2022-11-07
Jones, Todd; Di Giovanni, Alexander; Hauber, Mark; Ward, Michael (2022): Data for Jones et al. ECY22-0118.R3. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7460768_V1
Dataset associated with Jones et al. ECY22-0118.R3 submission: Ontogenetic effects of brood parasitism by the Brown-headed Cowbird on host offspring. Excel CSV files with all of the data used in analyses and file with descriptions of each column.
keywords:
brood parasitism; cowbirds; host-parasite systems; ontogeny; post-fledging; songbirds
published: 2022-12-31
Maffeo, Christopher; Wilson, Jim; Quednau, Lauren; Aksimentiev, Aleksei (2022): Simulation Trajectories for "DNA double helix, a tiny electromotor". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6770800_V1
Trajectory data for Nature Nanotechnology manuscript "DNA double helix, a tiny electromotor" that demonstrates how an electric field applied along the helical axis of a DNA or RNA molecule will generate an electroosmotic flow that causes the duplex to spin about that axis, much like a turbine.
keywords:
All-atom MD simulation; DNA; nanotechnology; motors and rotors
published: 2022-08-25
Souza-Cole, Ian; Ward, Michael; Rebecca, Mau; Jeffrey, Foster; Benson, Thomas (2022): Eastern Whip-poor-will abundance declines with urban land cover and increases with moth abundance in the American Midwest. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7745473_V1
Data in this publication were used to analyze the factors that influence the abundance of eastern whip-poor-wills in the Midwest and to describe the diet of this species. These data were collected in Illinois in 2019 and 2020. Procedures were approved by the Illinois Institutional Animal Care and Use Committee (IACUC), protocol no. 19006
keywords:
eastern whip-poor-will; Antrostomus vociferus; abundance; moths; nightjars; Lepidoptera; metabarcoding
published: 2020-11-06
Sashittal, Palash; Zhang, Chuanyi; El-Kebir, Mohammed (2020): Simulation Data for JUMPER: Discontinuous Transcript Assembly in SARS-CoV-2. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6667667_V1
This data contains bam files and transcripts in the simulated instances generated for the paper 'JUMPER: Discontinuous Transcript Assembly in SARS-CoV-2' submitted for RECOMB 2021. The folder 'bam' contained the simulated bam files aligned using STAR wile the reads were generated using the method polyester Note: in the readme file, close to the end of the document, please ignore this sentence: 'Those files can be opened by using [name of software].'
keywords:
transcript assembly; SARS-CoV-2; discontinuous transcription; coronaviruses
published: 2021-05-17
Wuebbles, D; Angel, J; Petersen, K; Lemke, A.M. (2021): An Assessment of the Impacts of Climate Change in Illinois. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1260194_V1
Please cite as: Wuebbles, D., J. Angel, K. Petersen, and A.M. Lemke, (Eds.), 2021: An Assessment of the Impacts of Climate Change in Illinois. The Nature Conservancy, Illinois, USA. https://doi.org/10.13012/B2IDB-1260194_V1 Climate change is a major environmental challenge that is likely to affect many aspects of life in Illinois, ranging from human and environmental health to the economy. Illinois is already experiencing impacts from the changing climate and, as climate change progresses and temperatures continue to rise, these impacts are expected to increase over time. This assessment takes an in-depth look at how the climate is changing now in Illinois, and how it is projected to change in the future, to provide greater clarity on how climate change could affect urban and rural communities in the state. Beyond providing an overview of anticipated climate changes, the report explores predicted effects on hydrology, agriculture, human health, and native ecosystems.
keywords:
Climate change; Illinois; Public health; Agriculture; Environment; Water; Hydrology; Ecosystems
published: 2022-08-23
Seyfried, Georgia; Corrales, Adriana; Kent, Angela; Dalling, James; Yang, Wendy (2022): Soil data for Watershed-scale variation in potential fungal community contributions to ectomycorrhizal biogeochemical syndromes. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3532603_V1
This dataset contains soil chemical properties used to variation in soil fungal communities beneath Oreomunnea mexicana trees in the manuscript "Watershed-scale variation in potential fungal community contributions to ectomycorrhizal biogeochemical syndromes"
keywords:
Acid-base chemistry; Ectomycorrhizal fungi; Exploration type; Nitrogen cycling; Nitrogen isotopes; Plant-soil (below-ground) interactions; Saprotrophic fungi; Tropical forest
published: 2022-11-07
Sweedler, Jonathan; Castro, Daniel (2022): Single-cell and Subcellular Analysis using Ultrahigh Resolution 21 T MALDI FTICR Mass Spectrometry. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4873339_V1
The dataset contains the data and code for Single-cell and Subcellular Analysis of freshly isolated cultured, uncultured P1 cells and uncultured Old cells. The .csv file named 'MagLab20220721' contains the sample and intensity information with the columns referring to the m/z values and the rows being the samples. The 'MagLabNameINdex.csv' file contains all the index information. The file named '20220721_MagLab.spydata' contains the loaded data of both the two previous files in Spyder. The .mat file contains the aligned data for the three groups.
keywords:
Single-cell; Subcellular; Mass Spectrometry; MALDI; Lipidomics; FTICR; 21 T
published: 2023-03-13
Yang, Joyce; Zhao , Lei; Oleson, Keith (2023): Historical and future CESM climate simulations from: Large humidity effects on urban heat exposure and cooling challenges under climate change. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9627482_V1
This dataset contains the historical and future (SSP3 and RCP7.0) CESM climate simulations used in the article "Large humidity effects on urban heat exposure and cooling challenges under climate change" (upcoming). Further details about these simulations can be found in the article. This dataset documents the monthly mean projections of air temperature, wet-bulb temperature, precipitation, relative humidity, and numerous other climatic variables for 2000-2009 (for the historical run) and for 2015-2100 (for the future projection under SSP3-RCP7). This dataset may be useful for urban planners, climate scientists, and decision-makers interested in changes in urban and rural climate under climate change.
keywords:
urban climate; climate change; heat stress; urban heat
published: 2023-12-23
Rodriguez-Zas, Sandra (2023): Supplemental File companion to a manuscript to be submitted. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8635710_V1
Supplemental document corresponding to a submission to Physiological Genomics (Data supplements and source materials must now be deposited in a community-recognized data repository or to a generalist public access repository if no community resource is available. See "Author/Production Requirements" for more information.) https://pg.msubmit.net/
keywords:
Supplemental, Physiological Genomics
published: 2021-01-04
Zhao, Lei; Oleson, Keith; Bou-Zeid, Elie; Krayenhoff, Eric Scott; Bray, Andrew; Zhu, Qing; Zheng, Zhonghua; Chen, Chen; Oppenheimer, Michael (2021): Multi-model urban climate projections data from: Global multi-model projections of local urban climates. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4585244_V1
This dataset contains the emulated global multi-model urban climate projections under RCP 8.5 and RCP 4.5 used in the article "Global multi-model projections of local urban climates" (https://www.nature.com/articles/s41558-020-00958-8). Details about this dataset and the local urban climate emulator are described in the article. This dataset documents the monthly mean projections of urban temperatures and urban relative humidity of 26 CMIP5 Earth system models (ESMs) from 2006 to 2100 across the globe. This dataset may be useful for multiple communities regarding urban climate change, impacts, vulnerability, risks, and adaptation applications.
keywords:
Urban climate; multi-model climate projections; CMIP; urban warming; heat stress
published: 2022-09-07
Long, Stephen P.; Wang, Yu; Stutz, Samantha S. (2022): Data for Increased bundle sheath leakiness of CO2 during photosynthetic induction shows a lack of coordination between the C4 and C3 cycles. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-1181155_V1
We developed a new application of isotopic gas exchange which couples a tunable diode laser absorption spectroscope (TDL) with a leaf gas exchange system, analyzing leakiness through induction of C4 photosynthesis on dark to high-light transitions. The youngest fully expanded leaf was measured on 40-45 day-old maize(B73) and sorghum (Tx430). Detail definition of each variable in raw Li-6400XT and Li-6800 (in "Original_data_AND_Data_processing_code.zip") is summarized in: <a href="https://www.licor.com/env/support/LI-6800/topics/symbols.html#const">https://www.licor.com/env/support/LI-6800/topics/symbols.html#const</a>
keywords:
leakiness; bundle sheath leakage; C4 photosynthesis; photosynthetic induction; non-steady-state photosynthesis; carbon isotope discrimination; photosynthetic efficiency; corn
published: 2022-11-28
Zhang, Na; Sharma, Bijay P.; Khanna, Madhu (2022): Data for Determining Spatially Varying Profit-Maximizing Management Practices for Miscanthus and Switchgrass Production in the Rainfed United States. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9793873_V1
The compiled datasets include county-level variables used for simulating miscanthus and switchgrass production in 2287 counties across the rainfed US including 5-year (2012-2016) averaged growing season degree days (GDD), 5-year (2012-2016) averaged growing season cumulative precipitation, National Commodity Crop Productivity Index (NCCPI) values, regional dummies (only for miscanthus), the regional-level random effect of the yield response function, N price, land cash rent, the first year fixed cost (only for switchgrass), and separate datasets for simulating an alternative model assuming a constant N rate. The GAMS codes are used to run the simulation to obtain the main results including the age-varying profit-maximizing N rate, biomass yields, and annual profits for miscanthus and switchgrass production across counties in the rainfed US. The STATA codes are used to merge and analyze simulation results and create summary statistics tables and key figures.
keywords:
Age; Miscanthus; Net present value; Nitrogen; Optimal lifespan; Profit maximization; Switchgrass; Yield; Center for Advanced Bioenergy and Bioproducts Innovation
published: 2023-06-01
Storms, Suzanna (2023): RT-LAMP as diagnostic tool for Influenza-A Virus detection in swine. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2079467_V1
Results of RT-LAMP reactions for influenza A virus diagnostic development.
keywords:
swine influenza; LAMP; gBlock
published: 2019-10-27
Snyder, Corey; Do, Minh (2019): Data for STREETS: A Novel Camera Network Dataset for Traffic Flow. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3671567_V1
This dataset accompanies the paper "STREETS: A Novel Camera Network Dataset for Traffic Flow" at Neural Information Processing Systems (NeurIPS) 2019. Included are: *Over four million still images form publicly accessible cameras in Lake County, IL. The images were collected across 2.5 months in 2018 and 2019. *Directed graphs describing the camera network structure in two communities in Lake County. *Documented non-recurring traffic incidents in Lake County coinciding with the 2018 data. *Traffic counts for each day of images in the dataset. These counts track the volume of traffic in each community. *Other annotations and files useful for computer vision systems. Refer to the accompanying "readme.txt" or "readme.pdf" for further details.
keywords:
camera network; suburban vehicular traffic; roadways; computer vision
published: 2022-09-16
Zhong, Jia; Khanna, Madhu (2022): Model Code and Data for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States". University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6803176_V1
This dataset contains model code (including input data) to replicate the outcomes for "Assessing the Efficiency Implications of Renewable Fuel Policy Design in the United States". The model consists of: (1) The replication codes and data for the model. To run the model, using GAMS to run the "Models.gms" file.
keywords:
Renewable Fuel Standard; Nested structure; cellulosic waiver credit; RIN
published: 2022-09-07
Jiang, Chongya; Guan, Kaiyu; Khanna, Madhu; Chen, Luoye; Peng, Jian (2022): Data for Assessing Marginal Land Availability Based on Land Use Change Information in the Contiguous United States. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6395937_V1
The availability of economically marginal land for energy crops is identified using the Cropland Data Layer and other soil, wind, climate data resources. All data are recognized on a 30m spatial resolution across the continental United States.
keywords:
marginal land; biofuel production; remote sensing; land use change; Cropland Data Layer
published: 2020-05-12
Eick, Brian (2020): Acceleration and strain data for free vibration of pre-tensioned, partially-submerged beams. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-7897650_V1
The data provided herein is accelerometer and strain data taken from free vibration response of pre-tensioned, partially submerged steel beam specimens (modulus of elasticity assumed = 29,000 ksi). The specimens were subjected to various levels of pre-tension, and various levels of submersion in water. The purpose of the testing was to quantify the effects of partial submersion on the vibrating frequencies of pretensioned beams. Three specimens were tested, each with different cross section (but identical cross-sectional area). The different cross sections allow investigation of the effects of specimen width as the specimen vibrates through water. The testing procedure was as follows: 1) Apply a specified level of tension in the beam. Measure tension via 3 strain gages. 2) Submerge the specimens to a specified depth of water 3) Excite the beams with either a hammer impact or a pull-and-release method (physically pull the middle of the bar and quickly release) 4) Measure the free vibration of the beam with 2 accelerometers. Schematic drawings of the test setup and the test specimens are provided, as is a picture of the test setup.
keywords:
free vibration; beam; partially-submerged; prestressed;