Displaying datasets 151 - 175 of 447 in total

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published: 2021-09-06
 
Airglow images and Meteor radar data used in the paper "Mesospheric gravity wave activity estimated via airglow imagery, multistatic meteor radar, and SABER data taken during the SIMONe–2018 campaign".
keywords: airglow; meteor radar; gravity waves; momentum flux;
published: 2016-05-16
 
This dataset contains the protein sequences and trees used to compare Non-Ribosomal Peptide Synthetase (NRPS) condensation domains in the AMB gene cluster and was used to create figure S1 in Rojas et al. 2015. Instead of having to collect representative sequences independently, this set of condensation domain sequences may serve as a quick reference set for coarse classification of condensation domains.
keywords: NRPS; biosynthetic gene cluster; antimetabolite; Pseudomonas; oxyvinylglycine; secondary metabolite; thiotemplate; toxin
published: 2020-05-04
 
The Cline Center Historical Phoenix Event Data covers the period 1945-2019 and includes 8.2 million events extracted from 21.2 million news stories. This data was produced using the state-of-the-art PETRARCH-2 software to analyze content from the New York Times (1945-2018), the BBC Monitoring's Summary of World Broadcasts (1979-2019), the Wall Street Journal (1945-2005), and the Central Intelligence Agency’s Foreign Broadcast Information Service (1995-2004). It documents the agents, locations, and issues at stake in a wide variety of conflict, cooperation and communicative events in the Conflict and Mediation Event Observations (CAMEO) ontology. The Cline Center produced these data with the generous support of Linowes Fellow and Faculty Affiliate Prof. Dov Cohen and help from our academic and private sector collaborators in the Open Event Data Alliance (OEDA). For details on the CAMEO framework, see: Schrodt, Philip A., Omür Yilmaz, Deborah J. Gerner, and Dennis Hermreck. "The CAMEO (conflict and mediation event observations) actor coding framework." In 2008 Annual Meeting of the International Studies Association. 2008. http://eventdata.parusanalytics.com/papers.dir/APSA.2005.pdf Gerner, D.J., Schrodt, P.A. and Yilmaz, O., 2012. Conflict and mediation event observations (CAMEO) Codebook. http://eventdata.parusanalytics.com/cameo.dir/CAMEO.Ethnic.Groups.zip For more information about PETRARCH and OEDA, see: http://openeventdata.org/
keywords: OEDA; Open Event Data Alliance (OEDA); Cline Center; Cline Center for Advanced Social Research; civil unrest; petrarch; phoenix event data; violence; protest; political; conflict; political science
published: 2019-08-29
 
This is part of the Cline Center’s ongoing Social, Political and Economic Event Database Project (SPEED) project. Each observation represents an event involving civil unrest, repression, or political violence in Sierra Leone, Liberia, and the Philippines (1979-2009). These data were produced in an effort to describe the relationship between exploitation of natural resources and civil conflict, and to identify policy interventions that might address resource-related grievances and mitigate civil strife. This work is the result of a collaboration between the US Army Corps of Engineers’ Construction Engineer Research Laboratory (ERDC-CERL), the Swedish Defence Research Agency (FOI) and the Cline Center for Advanced Social Research (CCASR). The project team selected case studies focused on nations with a long history of civil conflict, as well as lucrative natural resources. The Cline Center extracted these events from country-specific articles published in English by the British Broadcasting Corporation (BBC) Summary of World Broadcasts (SWB) from 1979-2008 and the CIA’s Foreign Broadcast Information Service (FBIS) 1999-2004. Articles were selected if they mentioned a country of interest, and were tagged as relevant by a Cline Center-built machine learning-based classification algorithm. Trained analysts extracted nearly 10,000 events from nearly 5,000 documents. The codebook—available in PDF form below—describes the data and production process in greater detail.
keywords: Cline Center for Advanced Social Research; civil unrest; Social Political Economic Event Dataset (SPEED); political; event data; war; conflict; protest; violence; social; SPEED; Cline Center; Political Science
published: 2020-12-16
 
Terrorism is among the most pressing challenges to democratic governance around the world. The Responsible Terrorism Coverage (or ResTeCo) project aims to address a fundamental dilemma facing 21st century societies: how to give citizens the information they need without giving terrorists the kind of attention they want. The ResTeCo hopes to inform best practices by using extreme-scale text analytic methods to extract information from more than 70 years of terrorism-related media coverage from around the world and across 5 languages. Our goal is to expand the available data on media responses to terrorism and enable the development of empirically-validated models for socially responsible, effective news organizations. This particular dataset contains information extracted from terrorism-related stories in the Foreign Broadcast Information Service (FBIS) published between 1995 and 2013. It includes variables that measure the relative share of terrorism-related topics, the valence and intensity of emotional language, as well as the people, places, and organizations mentioned. This dataset contains 3 files: 1. "ResTeCo Project FBIS Dataset Variable Descriptions.pdf" A detailed codebook containing a summary of the Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset and descriptions of all variables. 2. "resteco-fbis.csv" This file contains the data extracted from terrorism-related media coverage in the Foreign Broadcast Information Service (FBIS) between 1995 and 2013. It includes variables that measure the relative share of topics, sentiment, and emotion present in this coverage. There are also variables that contain metadata and list the people, places, and organizations mentioned in these articles. There are 53 variables and 750,971 observations. The variable "id" uniquely identifies each observation. Each observation represents a single news article. Please note that care should be taken when using "resteco-fbis.csv". The file may not be suitable to use in a spreadsheet program like Excel as some of the values get to be quite large. Excel cannot handle some of these large values, which may cause the data to appear corrupted within the software. It is encouraged that a user of this data use a statistical package such as Stata, R, or Python to ensure the structure and quality of the data remains preserved. 3. "README.md" This file contains useful information for the user about the dataset. It is a text file written in mark down language Citation Guidelines 1) To cite this codebook please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset Variable Descriptions. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-6360821_V1 2) To cite the data please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project Foreign Broadcast Information Service (FBIS) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-6360821_V1
keywords: Terrorism, Text Analytics, News Coverage, Topic Modeling, Sentiment Analysis
published: 2021-02-28
 
This dataset contains the RegCM4 simulations used in the article " Implementation of dynamic ageing of carbonaceous aerosols in regional climate model RegCM". This dataset was used to investigate the impact of a new aging parameterisation scheme implemented in a regional climate model RegCM4. The dataset contains two sets of simulations: Expt_fix and Expt_dyn. It consists of the seasonal mean and daily mean values of the variables that were used to create the visualizations of this study. The Expt_fix and Expt_dyn dataset contain 34 and 38 NetCDF files, respectively. The CERES_vs_2expts_new.mat file is the comparison between CERES shortwave downward flux at the surface and same model outputs from two experiments for clear sky and all sky conditions. -------------------------------------------------- The following information about the dataset was generated on 2021-01-08 by SUDIPTA GHOSH <b>GENERAL INFORMATION</b> <i>1. Date of data collection (single date, range, approximate date):</i> 2019-01-01 to 2019-12-31 <i>2. Geographic location of data collection:</i> Urbana-Champaign,Illinois, USA <i>3. Information about funding sources that supported the collection of the data:</i> This work is supported by the MoEFCC under the NCAP-COALESCE project [Grant No. 14/10/2014-CC]. The first author acknowledges DST-INSPIRE fellowship [IF150055] and Fulbright-Kalam Climate Doctoral fellowship. N. R. acknowledges funding from NSF AGS-1254428 and DOE grant DE-SC0019192. Department of Science and Technology, Funds for Improvement of Science and Technology infrastructure in universities and higher educational institutions (DST-FIST) grant (SR/FST/ESII-016/2014) are acknowledged for the computing support. <b>DATA & FILE OVERVIEW</b> <i>1. File List:</i> Expt_fix and Expt_dyn datasets contain the analysed seasonal means and daily means of the variables that have been used to create the visualizations of this study. Each of the Expt_fix and Expt_dyn datasets contains 34 and 38 NetCDF files, respectively. <i>2. Relationship between files, if important:</i> NA <i>3. Additional related data collected that was not included in the current data package:</i> No <b>METHODOLOGICAL INFORMATION</b> <i>1. Description of methods used for collection/generation of data: </i> The model RegCM4 code is freely available online from <a href="http://gforge.ictp.it/gf/project/regcm/">http://gforge.ictp.it/gf/project/regcm/</a>. The anthropogenic aerosol emissions considered for the simulations are taken from IIASA inventory. The data used can be easily accessed online <a href="http://clima-dods.ictp.it/regcm4/">http://clima-dods.ictp.it/regcm4/</a> website. TRMM observed precipitation data can be assessed from <a href="https://giovanni.gsfc.nasa.gov/giovanni/">https://giovanni.gsfc.nasa.gov/giovanni/</a> website. CRU temperature data is available at <a href="https://crudata.uea.ac.uk/cru/data/hrg/">https://crudata.uea.ac.uk/cru/data/hrg/</a>. CERES satellite surface shortwave downward fluxes are available at <a href="https://ceres.larc.nasa.gov/data/">https://ceres.larc.nasa.gov/data/</a> website. Input files for the RegCM4 model are archived in <a href="http://clima-dods.ictp.it/regcm4/">http://clima-dods.ictp.it/regcm4/</a> website. This dataset contains the RegCM4 simulations used in the article " Implementation of dynamic ageing of carbonaceous aerosols in regional climate model RegCM ". Two sets of simulations: Expt_fix and Expt_dyn consists of the output data . This dataset only contains the analysed seasonal mean and daily mean of the variables that have been used to create the visualizations of this study. Each of Expt_fix and Expt_dyn contains 34 and 38 NetCDF files respectively. This dataset was used to investigate the impact of a new aging parameterisation scheme implemented in a regional climate model RegCM4. <i>2. Methods for processing the data:</i> Seasonal Mean and daily average values were extracted from 6-hourly model output. <i>3. Instrument- or software-specific information needed to interpret the data:</i> CDO-1.7.1, Grads-2.0.a9, Matlab2016b <i>4. Standards and calibration information, if appropriate:</i> NA <i>5. Environmental/experimental conditions:</i> NA <i>6. Describe any quality-assurance procedures performed on the data:</i> NA <i>7. People involved with sample collection, processing, analysis and/or submission:</i> Sudipta Ghosh, Nicole Riemer, Graziano Giuliani, Filippo Giorgi, Dilip Ganguly, Sagnik Dey <b>DATA-SPECIFIC INFORMATION FOR: Expt_fix_data.tar.gz</b> <i>1. Number of variables:</i> 29 <i>2. Number of cases/rows:</i> NA <i>3. Variable List:</i> Mass concentration (Kg m-3) of BC, BC_HB, BC_HL, OC, OC_HB, OC_HL; Columnar burden (mg m-2)] of BC, BC_HL, BC_HB, OC; Dry deposition flux (mg m-2 day-1) of BC_HB, BC_HL, OC_HB, OC_HL; Wet deposition flux due washout (mg m-2 day-1) of BC_HB, BC_HL, OC_HB, OC_HL; Wet deposition flux due to rainout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; AOD (unit less), precipitation (Kg m-2 s-1), temperature (K) , v-wind (m s-1), u-wind (m s-1), Surface shortwave downward flux (W m-2), Shortwave radiative forcing at the surface and top of atmosphere (W m-2) <b>DATA-SPECIFIC INFORMATION FOR: Expt_dyn_data.tar.gz</b> <i>1. Number of variables:</i> 30 <i>2. Number of cases/rows:</i> NA <i>3. Variable List:</i> Mass concentration (Kg m-3) of BC, BC_HB, BC_HL, OC, OC_HB, OC_HL; Columnar burden (mg m-2)] of BC, BC_HL, BC_HB, OC; Dry deposition flux (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; Wet deposition flux due washout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; Wet deposition flux due to rainout (mg m-2 day-1) of BC_HB, BC_HL OC_HB, OC_HL; AOD (unit less); precipitation (Kg m-2 s-1); temperature (K); v-wind (m s-1); u-wind (m s-1); Surface shortwave downward flux (W m-2); Shortwave radiative forcing at the surface and top of atmosphere (W m-2); ageingscale (s-1) <b>DATA-SPECIFIC INFORMATION FOR: CERES_vs_2expts_new.mat</b> <i>1. Number of variables:</i> 12 <i>2. Number of cases/rows:</i> NA <i>3. Variable List:</i> Surface shortwave downward flux for clear sky (W/m-2) for CERES, Expt_fix, Expt_dyn (for winter JF and monsoon JJAS seasons); Surface shortwave downward flux for all sky conditions (W/m-2) for CERES, Expt_fix, Expt_dyn (for winter JF and monsoon JJAS seasons). <b>NOTE:</b> The following information applies for all three (3) files: <i> Missing data codes:</i> NA <i>Specialized formats or other abbreviations used:</i> NA
keywords: Carbonaceous aerosols; ageing parameterisation scheme; regional climate model; NetCDF
published: 2021-06-08
 
Dataset associated with Jones and Ward JAE-2020-0031.R1 submission: Pre-to post-fledging carryover effects and the adaptive significance of variation in wing development for juvenile songbirds. Excel CSV files with data used in analyses and file with descriptions of each column. The flight ability variable in this dataset was derived from fledgling drop tests, examples of which can be found in the related dataset: Jones, Todd M.; Benson, Thomas J.; Ward, Michael P. (2019): Flight Ability of Juvenile Songbirds at Fledgling: Examples of Fledgling Drop Tests. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2044905_V1.
keywords: fledgling; wing development; life history; adaptive significance; post-fledging; songbirds
published: 2021-05-13
 
Data files and R code to replicate the econometric analysis in the journal article: B Chen, BM Gramig and SD Yun. “Conservation Tillage Mitigates Drought Induced Soybean Yield Losses in the US Corn Belt.” Q Open. https://doi.org/10.1093/qopen/qoab007
keywords: R, Conservation Tillage, Drought, Yield, Corn, Soybeans, Resilience, Climate Change
published: 2020-10-28
 
We studied we examined the role of stream flow on environmental DNA (eDNA) concentrations and detectability of an invasive clam (Corbicula fluminea), while also accounting for other abiotic and biotic variables. This data includes the eDNA concentrations, quadrat estimates of clam density, and abiotic variables.
keywords: Corbicula; detection probability; eDNA; invasive species; lotic; occupancy modeling
published: 2020-11-25
 
Video recorded by Louise Barker using a Cannon Powershot camera documents late-season combat behavior in Agkistrodon contortrix. Recorded in Beaufort County, North Carolina, 11.1 km SE of downtown Washington on 21 October 2020.
keywords: Agkistrodon contortrix; combat; mating; reproduction; copperhead; pit viper; Viperidae;
published: 2020-12-14
 
Femoral skeletal traits (cross-sectional properties, maximum distal metaphyseal breadth of the femur, and maximum superior/inferior femoral head diameter) of 219 Taiwanese subadult individuals (aged 0 to 17) as used in the manuscript "Allometric scaling and growth: evaluation and applications in subadult body mass estimation."
keywords: femur; cross-sectional geometry; osteometrics; subadult
published: 2020-12-16
 
Terrorism is among the most pressing challenges to democratic governance around the world. The Responsible Terrorism Coverage (or ResTeCo) project aims to address a fundamental dilemma facing 21st century societies: how to give citizens the information they need without giving terrorists the kind of attention they want. The ResTeCo hopes to inform best practices by using extreme-scale text analytic methods to extract information from more than 70 years of terrorism-related media coverage from around the world and across 5 languages. Our goal is to expand the available data on media responses to terrorism and enable the development of empirically-validated models for socially responsible, effective news organizations. This particular dataset contains information extracted from terrorism-related stories in the Summary of World Broadcasts published between 1979 and 2019. It includes variables that measure the relative share of terrorism-related topics, the valence and intensity of emotional language, as well as the people, places, and organizations mentioned. This dataset contains 3 files: 1. "ResTeCo Project SWB Dataset Variable Descriptions.pdf" A detailed codebook containing a summary of the Responsible Terrorism Coverage (ResTeCo) Project BBC Summary of World Broadcasts (SWB) Dataset and descriptions of all variables. 2. "resteco-swb.csv" This file contains the data extracted from terrorism-related media coverage in the BBC Summary of World Broadcasts (SWB) between 1979 and 2019. It includes variables that measure the relative share of topics, sentiment, and emotion present in this coverage. There are also variables that contain metadata and list the people, places, and organizations mentioned in these articles. There are 53 variables and 438,373 observations. The variable "id" uniquely identifies each observation. Each observation represents a single news article. Please note that care should be taken when using "resteco-swb.csv". The file may not be suitable to use in a spreadsheet program like Excel as some of the values get to be quite large. Excel cannot handle some of these large values, which may cause the data to appear corrupted within the software. It is encouraged that a user of this data use a statistical package such as Stata, R, or Python to ensure the structure and quality of the data remains preserved. 3. "README.md" This file contains useful information for the user about the dataset. It is a text file written in markdown language Citation Guidelines 1) To cite this codebook please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project BBC Summary of World Broadcasts (SWB) Dataset Variable Descriptions. Responsible Terrorism Coverage (ResTeCo) Project BBC Summary of World Broadcasts (SWB) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-2128492_V1 2) To cite the data please use the following citation: Althaus, Scott, Joseph Bajjalieh, Marc Jungblut, Dan Shalmon, Subhankar Ghosh, and Pradnyesh Joshi. 2020. Responsible Terrorism Coverage (ResTeCo) Project Summary of World Broadcasts (SWB) Dataset. Cline Center for Advanced Social Research. December 16. University of Illinois Urbana-Champaign. doi: https://doi.org/10.13012/B2IDB-2128492_V1
keywords: Terrorism, Text Analytics, News Coverage, Topic Modeling, Sentiment Analysis
published: 2020-12-29
 
Three datasets: species_abundance_data, species_traits, and environmental_data. The three datasets were collected in the Fortuna Forest Reserve (8°45′ N, 82°15′ W) and Palo Seco Protected Forest (8°45′ N, 82°13′ W) located in western Panama. The two reserves support humid to super-humid rainforests, according to Holdridge (1947). The species_abundance_data and species_traits datasets were collected across 15 subplots of 25 m2 in 12 one-hectare permanent plots distributed across the two reserves. The subplots were spaced 20 m apart along three 5 m wide transects, each 30 m apart. Please read Prada et al. (2017) for details on the environmental characteristics of the study area. Prada CM, Morris A, Andersen KM, et al (2017) Soils and rainfall drive landscape-scale changes in the diversity and functional composition of tree communities in a premontane tropical forest. J Veg Sci 28:859–870. https://doi.org/10.1111/jvs.12540
keywords: functional traits; plants; ferns; environmental data; Fortuna; species data; community ecology
published: 2020-10-20
 
This dataset includes a total of 501 images of 42 fossil specimens of Striatopollis and 459 specimens of 45 extant species of the tribe Amherstieae-Fabaceae. These images were taken using Airyscan confocal superresolution microscopy at 630X magnification (63x/NA 1.4 oil DIC). The images are in the CZI file format. They can be opened using Zeiss propriety software (Zen, Zen lite) or in ImageJ. More information on how to open CZI files can be found here: [https://www.zeiss.com/microscopy/us/products/microscope-software/zen/czi.html#microscope---image-data].
keywords: Striatopollis catatumbus; superresolution microscopy; Cenozoic; tropics; Zeiss; CZI; striate pollen.
published: 2020-12-30
 
High-speed X-ray videos of four E. abruptus specimens recorded at the Advanced Photron Source (Argonne National lab) in the Summer of 2018 and corresponding position data of landmarks tracked during the motion. See readme file for more details.
published: 2020-10-01
 
We measured the effects of fire or drought treatment on plant, microbial and biogeochemical responses in temperate deciduous forests invaded by the annual grass Microstegium vimineum with a history of either frequent fire or fire exclusion. Please note, on Documentation tab / Experimental or Sampling Design, “15 (XVI)” should be “16 (XVI)”.
keywords: plant-soil interaction; grass-fire cycle; Microstegium; carbon and nitrogen cycling; microbial decomposers
published: 2020-12-31
 
This dataset contains the amino acid and nucleotide alignments corresponding to the phylogenetic analyses of South et al. 2020 in Systematic Entomology. This dataset also includes the gene trees that were used as input for coalescent analysis in ASTRAL.
keywords: Plecoptera; stoneflies; phylogeny; insects
published: 2020-10-01
 
These datasets were performed to assess whether color pattern phenotypes of the polymorphic tortoise beetle, Chelymorpha alternans, mate randomly with one another, and whether there are any reproductive differences between assortative and disassortative pairings.
keywords: mate choice, color polymorphisms, random mating
published: 2020-06-01
 
Dataset associated with Hoover et al AUK-19-093 submission: Local conspecific density does not influence reproductive output in a secondary cavity-nesting songbird. Excel CSV with all of the data used in analyses. Description of variables YEARS: year ORDINAL_DATE: number for what day of the year it is with 1 January = 1,……30 December = 365 SITE: acronym for each study site BOX: unique nest box identifier on each study site TREAT: designates whether nest box was in a high- or low- nest box density area within each study site ACTUAL_NO_NEIGHBORS: number of pairs of warblers using a nest box within 200 m of a given pair’s nest box CLUTCH_SIZE: number of warbler eggs in nest at the onset of incubation PROWN: number of warbler nestlings once eggs have hatched PROWF: number of warbler nestlings that fledged out of the nest box HATCH_SUCCESS: proportion of eggs in the nest that hatched FLEDG_SUCCESS: proportion of the nestlings that fledged from the nest box HATCH_SUCCESS2: binary category where “0” indicates there was some, and “1” indicates there was no hatching failure FLEDG_SUCCESS2: binary category where “0” indicates there was some, and “1” indicates there was no nestling failure (i.e. nestling death) BHCO_PARASIT2: binary category where “0” indicates no cowbird parasitism, and “1” indicates there was cowbird parasitism BHCOE: number of cowbird eggs in clutch BHCOF: number of cowbird nestlings that fledged from the nest PAIRID: unique number that identifies a male and female warbler that are together at a nest box and this number is the same in a subsequent nesting attempt or year if the same male and female are together again FEMALE_ID: unique identifier for each female which represents her leg band combination. Each letter represents a band with letters preceding the hyphen being on the right leg and after the hyphen the left leg FEM_AGE: binary category where “0” indicates a 1-year-old bird and “1” indicates a >1-year-old bird FEMALE_BREEDING_ATTEMPT: “1” indicates first, “2” indicates second,……..breeding attempt within a given year SECOND_ATTEMPT: for any female that fledged a brood in a given year, binary category where “0” represents that they did not, and “1” indicates that they did attempt a second brood that year F_TOT_PROWF: total reproductive output (number of warbler fledglings produced) for a given female in a given year MALE_ID: unique identifier for each male which represents his leg band combination. Each letter represents a band with letters preceding the hyphen being on the right leg and after the hyphen the left leg MALE_AGE2: binary category where “0” indicates a 1-year-old bird and “1” indicates a >1-year-old bird Provisioning_rate: total number of food provisions per nestling per hour by male and female warbler combined BROOD_MASS: average nestling mass (g) for the brood BROOD_TARSUS: average nestling tarsus length (mm) for the brood Brood_condition: unit-less index of nestling condition that uses the residuals of the BROOD_MASS/BROOD_TARSUS relationship A period (“.”) represents where data were not collected, not available, or because individual nest or female did not qualify for consideration of a category assignment. An empty cell represents no data available for this particular cell.
keywords: conspecific density; density dependence; food limitation; hatching success; nestling body condition; nestling provisioning; Prothonotary Warbler; reproductive output
published: 2018-06-20
 
The dataset includes the data used in the study of Classical Topological Order in the Kinetics of Artificial Spin Ice. This includes the photoemission electron microscopy intensity measurement of artificial spin ice at different temperatures as a function of time. The data includes the raw data, the metadata, and the data cookbook. Please refer to the data cookbook for more information. Note: vertex_population.xlsx file in the meta_data_code folder can be disregarded.
keywords: artificial spin ice; PEEM; topological order
published: 2018-03-01
 
Data were used to analyze patterns in predator-specific nest predation on shrubland birds in Illinois as related to landscape composition at multiple landscape scales. Data were used in a Journal of Applied Ecology research paper of the same name. Data were collected between 2011 and 2014 at sites in east-central and northeastern Illinois, USA as part of a Ph.D. research project on the relationship between avian nest predation and landscape characteristics, and how nest predation affects adult and nestling bird behavior.
keywords: nest predation; avian ecology; land cover; landscape composition; landscape scale; nest camera; nest survival; predator-specific mortality; scale-dependence; scrubland; shrub-nesting bird
published: 2020-08-01
 
The Empoascini_morph_data.nex text file contains the original data used in the phylogenetic analyses of Xu et al. (Systematic Entomology, 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 first nine lines of the file indicate the file type (Nexus), that 110 taxa were analyzed, that a total of 99 characters were analyzed, the format of the data, and specification for symbols used in the dataset to indicate different character states. For species that have more than one state for a particular character, the states are enclosed in square brackets. Question marks represent missing data.The pdf file, Appendix1.pdf, is available here and describes the morphological characters and character states that were scored in the dataset. The data analyses are described in the cited original paper.
keywords: Hemiptera; Cicadellidae; morphology; biogeography; evolution
published: 2020-12-02
 
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: 2021-01-04
 
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: 2020-12-15
 
The dataset consists of results and various input data that are used in the GAMS model for the publication "Repeal of the Clean Power Plan: Social Cost and Distributional Implications". All the data are either excel files or in the .inc format which can be read within GAMS or Notepad. Main data sources include: agriculture, transportation and electricity data. Model details can be found in the paper and the GAMS model package.
keywords: carbon abatement; welfare cost; electricity sector; partial equilibrium model