cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9gvyfnw
title: Data release for Lake levels in a discontinuous permafrost landscape: Late Holocene variations inferred from sediment oxygen isotopes, Yukon Flats, Alaska

description: During recent decades, lake levels in the Yukon Flats region of interior Alaska have fluctuated dramatically. However, prior to recorded observations, no data are available to indicate if similar or more extreme variations occurred during past centuries and millennia. This study explores the history of Yukon Flats lake origins and lake levels for the past approximately 5,500 years from sediment analyses guided by previous work on permafrost extent, thermokarst, and modern isotope hydrology. Sediments dated by 210Pb and AMS radiocarbon indicate stable chronologies following initial lake initiation. Subsequent lithology is autochthonous, and oxygen isotope ratios of endogenic carbonate reflect lake level change at multiple time scales. Sediment results indicate high lake levels between approximately 4000 and 1850 cal yr BP, which is interpreted to reflect wetter-than-modern conditions. Lower lake levels with short-lived high stands during the past approximately 800 years reflect generally arid conditions with brief wet intervals similar to the regions moisture regime today. The millennial trend is one of increasing aridity and corresponds closely with fire reconstructions and regional paleoclimatic trends. We conclude that high-magnitude lake-level fluctuations and decadal scale trends occurred before the observational period and are persistent hydroclimatic features of the Yukon Flats region.
DOI: 10.21223/p3/9rrjjb
title: Dataset for: Molecular genotyping and ploidy of in-situ conserved potato native varieties of Huancavelica hotspot

description: SSR molecular genotyping and ploidy information of potato native varieties in-situ conserved at seven communities from Huancavelica hotspot. Molecular genotyping was performed for 12 SSR markers. Ploidy determination was performed by flow citometry.
DOI: 10.21223/p3/nkic0r
title: Dataset for: Molecular genotyping and ploidy of in-situ conserved potato native varieties of Apurimac hotspot

description: SSR molecular genotyping and ploidy information of potato native varieties in-situ conserved at seven communities from Apurimac hotspot. Molecular genotyping was performed for 12 SSR markers. Ploidy determination was performed by flow citometry.
DOI: 10.3886/icpsr37118.v2
title: Committee on the Status of Women in the Economics Profession (CSWEP) Annual Survey of U.S. Economics Departments, United States, 1994-2018
title: Version 2

description: This data release is based on a survey of Ph.D. and non-Ph.D. granting U.S. economics departments for the years 1994-2018 and 2006-2018, respectively. The primary source of data is the annual Committee on the Status of Women in the Economics Profession (CSWEP) surveys. CSWEP is a committee of the American Economic Association (AEA). These data are supplemented with data from the AEA's Universal Academic Questionnaire (UAQ) information when CSWEP data observations are missing for a given institution and year. Observations that are missing in both CSWEP and UAQ surveys are imputed using linear interpolation. This study includes variables on the number and composition of faculty, the number of undergraduate, graduate, and Ph.D. students, and job placement status for Ph.D. graduates. Many of these variables are reported by gender.CSWEP has undertaken the collection of data on gender composition of faculty and students in both Ph.D. granting and non-Ph.D. granting U.S. economics departments since 1972.
description: The purpose of this study is to combine the annual CSWEP survey with data from the Universal Academic Questionnaire (UAQ) to show the gender composition of Ph.D. granting U.S. economics departments over time.
description: Information about the study design can be found on the CSWEP and UAQ sections of the American Economic Association web site.
description: Datasets: DS0: Study-Level Files DS1: PhD Restricted-Use Data DS2: Non-PhD Restricted-Use Data DS3: Public-Use Aggregate Data
description: United States universities with Ph.D. programs in economics. Smallest Geographic Unit: University campus
DOI: 10.5281/zenodo.1415368
title: Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network

description: <strong>Ultrafine Particle Dataset Collected by the OpenSense Zurich Mobile Sensor Network</strong> This dataset contains over 2 and a half years (04/2012-12/2014, &gt;36 Mio samples) worth of ultra-fine particle (UFP) concentration measurements collected by a mobile senor network. The sensors are mounted on top of 10 streetcars in the city of Zurich, Switzerland. <strong>Hardware:</strong> <strong>Ultrafine particle sensor</strong>: MiniDiSC (see also: Martin Fierz et al. Design, Calibration, and Field Performance of a Miniature Diffusion Size Classifier. Aerosol Science and Technology, Volume 45, 2011.) <strong>GPS receiver</strong>: u-blox EVK-6p<br> <strong>Sensor Data<br> ------------------</strong><br> <strong>ufp_data</strong><strong>*.csv column format:</strong> Time of day: yyyy.mm.dd HH:MM Latitude WGS84 Longitude WGS84 HDOP: horizontal dilution of precision, uncertainty of the GPS position Tram ID Number of particles [#/ccm] Average particle diameter [nm] LDSA: lung deposited surface area [um2 /cm3] <strong>Data quality:</strong><br> The data has been post-processed by performing a periodic null-offset calibration and filtering samples during malfunction. <strong>High-Resolution Maps<br> --------------------------------</strong> The data has been used to create high-resolution ultrafine particle concentration maps. Four maps, which show the seasonal average particle concentration over seasonal periods, can be found in ufp_seasonal_maps_201204_201304.csv. <strong>ufp_map*.csv column format:</strong> Latitude WGS84 Longitude WGS84 Estimated number of particles [#/ccm] <strong>Map quality</strong> Please have a look at the papers in References 1. and 2. (Hasenfratz et al. 2014 and 2015) for a detailed evaluation of the maps. <strong>References<br> ----------------</strong><br> The dataset has been used and is described in more detail in the following publications: David Hasenfratz et al.<em> Pushing the Spatio-Temporal Resolution Limit of Urban Air Pollution Maps.</em> IEEE International Conference on Pervasive Computing and Communications (PerCom). Budapest, Hungary, March 2014. Best Paper Award. David Hasenfratz et al. <em>Deriving High-Resolution Urban Air Pollution Maps Using Mobile Sensor Nodes. </em>Pervasive and Mobile Computing. Elsevier, 2015. David Hasenfratz et al. <em>Demo Abstract: Health-Optimal Routing in Urban Areas.</em> ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). Seattle, USA, April 2015. Michael Müller et al. <em>Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network. </em>Atmospheric Environment. Elsevier, 2016. For further information, visit: http://www.opensense.ethz.ch
DOI: 10.7910/dvn/0o1gw1/oeryj6
title: process_layers.R

description: R code to process ensemble modelling layers to distribution maps.
DOI: 10.7910/dvn/0o1gw1/tuni9g
title: README.pdf

description: Supporting document containing detailed information on the downloadable files.
DOI: 10.7910/dvn/0o1gw1/v2wrj7
title: ensemble_modelling.R

description: R code to model distribution of 100 tree species under current, RCP 4.5 and RCP 8.5 climate scenarios.
DOI: 10.5066/p9cqpg86
title: Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12)

description: This simulated ecosystem carbon dataset is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were converted to NetCDF format; 3. 1971-2015 subsets were clipped from original 1901-2015 simulation outputs. Variable List: aynbp - annual net biome productivity ayneetot - net ecosystem productivity aynpptot - net primary productivity cdisturb - carbon removals not detected from remote sensing, such as thinning logging - annual carbon removals from logging stddown - forest standing and down dead wood totceco - total ecosystem carbon totcsoi -- total organic soil carbon totlit - total litter carbon vegcomb - annual carbon loss due to direct vegetation combustion NoData Value: -3.40282346639e+038
DOI: 10.5281/zenodo.1418347
title: Dataset for "What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?"

description: This dataset was used for this project: "What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?". Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Haewoon Kwak, Jeremy Blackburn. Workshop on Computational Methods in CyberSafety, Online Harassment and Misinformation, 2018. DOI: 10.1145/3184558.3191531. In addition, this project has received funding from the European Union’s Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie ENCASE project (Grant Agreement No. 691025). The work reflects only the authors’ views; the Agency and the Commission are not responsible for any use that may be made of the information it contains. Using Gab’s API, we crawl the social network using a snowball methodology. Specifically, we obtain data for the most popular users as returned by Gab’s API and iteratively collect data from all their followers as well as their followings. Subsequently, for all users in our dataset we collect all of their the posts. Overall, we collect 22,112,812 posts from 336,752 users, between August 2016 and January 2018. This dataset is a .json file and each line has one .json object.
DOI: 10.7910/dvn/0o1gw1/1ovvqf
title: occurrence_data.tab

description: Data (species occurrence data)
DOI: 10.5281/zenodo.1418733
title: Supporting data for: "Long lasting mucoadhesive membrane based on alginate and chitosan for intravaginal drug delivery."

description: The document is a collection of supporting information for the manuscript titled: <strong>"Long lasting mucoadhesive membrane based on alginate and chitosan for intravaginal drug delivery".</strong> The supporting information include: a) the stress-strain curves obtained from the compression studies of alginate, alginate/chitosan and alginate/chitosan + metronidazole after soaking in a simulated vaginal fluid for 10 minutes; b) a figure depicting an alginate/chitosan + metronidazole dry membrane before and after rupture during a tensile stress test; c) a figure showing a sample alginate/chitosan + metronidazole dry membrane being manually folded; d) the raw and processed data of the swelling studies in milliQ water and simulated vaginal fluid; e) the raw and processed data of the degradation studies in simulated vaginal fluid; f) the results of the antibacterial studies for both <em>Gardnerella vaginalis </em>and <em>Staphilococcus aureus </em>as raw and processed data; and g) an example of a <em>Staphilococcus aureus </em>growth in Petri dishes after treatment with alginate/chitosan and alginate/chitosan + metronidazole.
DOI: 10.5281/zenodo.1418734
title: Supporting data for: "Long lasting mucoadhesive membrane based on alginate and chitosan for intravaginal drug delivery."

description: The document is a collection of supporting information for the manuscript titled: <strong>"Long lasting mucoadhesive membrane based on alginate and chitosan for intravaginal drug delivery".</strong> The supporting information include: a) the stress-strain curves obtained from the compression studies of alginate, alginate/chitosan and alginate/chitosan + metronidazole after soaking in a simulated vaginal fluid for 10 minutes; b) a figure depicting an alginate/chitosan + metronidazole dry membrane before and after rupture during a tensile stress test; c) a figure showing a sample alginate/chitosan + metronidazole dry membrane being manually folded; d) the raw and processed data of the swelling studies in milliQ water and simulated vaginal fluid; e) the raw and processed data of the degradation studies in simulated vaginal fluid; f) the results of the antibacterial studies for both <em>Gardnerella vaginalis </em>and <em>Staphilococcus aureus </em>as raw and processed data; and g) an example of a <em>Staphilococcus aureus </em>growth in Petri dishes after treatment with alginate/chitosan and alginate/chitosan + metronidazole.
DOI: 10.5066/f7pn94w3
title: Spatial distribution and risk analysis data for diamond-backed terrapins relative to crab trapping, Savannah Coastal Refuge Complex, USA

description: There were five objects for compiling these data: 1) to conduct a systematic inventory of diamond-backed terrapins (Malaclemys terrapin) using headcount surveys on four National Wildlife Refuges (Harris Neck, Blackbeard Island, Wassaw, and Wolf Island) that are a part of the greater Savannah Coastal Refuges Complex in southeast Georgia, USA; 2) to use occupancy modeling to determine detection probability and distribution of diamondback terrapins; 3) to perform risk assessments of these terrapin populations in relation to crabbing pressure; 4) to generate maps with associated GIS files of terrapin relative densities related to crabbing pressure; and 5) to provide scientific information that will allow for effective management of diamond-backed terrapins on these National Wildlife Refuges. The data collected during the course of the systematic inventory of diamond-backed terrapins includes information on terrapin detection in tidal creeks on refuges, crab pot numbers and locations, and a variety of environmental-, location-, and observer-related variables to examine the effects of both environmental conditions and observer bias on terrapin detection. Data were collected on crabbing pressure, terrapin detections, and other variables related to date, time, location, environment, observer, and transect length and IDs. Data was collected simultaneously. For example, while performing headcounts, we were also noting crab trap locations, environmental, and observer variables. Data resulting from occupancy modeling is contained in the data.csv file and was used to test hypotheses about the scale at which terrapin head counts respond to crab trapping. Three covariates were considered for generalized linear mixed effects models, including the average observed crab pot density at either the creek scale (creek_cpot) or the refuge/island scale (island_cpot), and the cloud metric (environmental variable as cloud cover can have an influence on terrapin detectability). The risk assessment used data from terrapin head counts and crab pot locations to assess the risk of terrapin mortality due to the presence, density, and distribution of crab trapping activities. Risk was defined as spatial overlap in observations of crab trapping activities and observations of terrapins along head count survey transects in creeks over the entire length of the study. No adjustments for detection probabilities were made, so the risk is based solely on the survey results. Each of the four National Wildlife Refuges sampled were analyzed separately. Maps were generated to show crabbing pressure in relation to terrapin hotspots, thus highlighting areas in need of protection to assure the persistence of terrapin populations and helping to meet the goal of providing information for effective management of diamond-backed terrapins on these refuges.
DOI: 10.5066/f7vx0drh
title: Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013

description: Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variables for these models are included in the data file and input files provided. These include sampling dates and times, rainfall depth, percent of watershed underlain by tile drainage, cattle population (for the ruminant marker model) and human population (for the human marker models). Sample collection and laboratory analyses methods are fully described in the associated journal paper (https://doi.org/10.1021/acs.est.8b01945).
DOI: 10.5066/p9cnag9g
title: Geospatial datasets and model for the flood-inundation study of the North Fork Kentucky River at Hazard, Kentucky

description: Digital flood-inundation maps were created for a 7.1-mile reach of the North Fork Kentucky River at Hazard, Kentucky. The flood-inundation maps, which can be accessed through the U.S. Geological Survey (USGS) Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the North Fork Kentucky River at Hazard, Kentucky (USGS station number 03277500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS AHPS site HAZK2). The NWS AHPS forecast peak stage information may be used with the maps developed in this study to show predicted areas of flood inundation. Flood profiles were computed for the North Fork Kentucky River reach by means of a one-dimensional, step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the current stage-discharge relation (USGS rating no. 24.0) at USGS streamgage 03277500, North Fork Kentucky River at Hazard, Kentucky. The calibrated hydraulic model was then used to compute 26 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (14 ft) to the highest even-foot increment stage (39 ft) of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model, derived from light detection and ranging data, to delineate the area flooded at each water level. The availability of these maps, along with information on the Internet regarding current stage from the USGS streamgage at North Fork Kentucky River at Hazard, Kentucky, and forecasted stream stages from the NWS AHPS, provides emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.
DOI: 10.5066/p9nhqw8m
title: Bathymetric and topographic grid intended for simulations of the 1945 Makran tsunami in Karachi Harbour

description: This digital elevation model provides a tool for calibrating tsunami risk to observations of the 1945 Makran tsunami in Karachi Harbour. The DEM bathymetry is derived from soundings made mainly during the first eight years after the tsunami. Although deficient in portraying intertidal backwaters and upland topography, the DEM accurately depicts the sheltered setting of one of the two tide gauges that recorded the 1945 tsunami.
DOI: 10.5281/zenodo.1419201
title: Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams

description: Streaming APIs are becoming more pervasive in mainstream Object-Oriented programming languages. For example, the Stream API introduced in Java 8 allows for functional-like, MapReduce-style operations in processing both finite and infinite data structures. However, using this API efficiently involves subtle considerations like determining when it is best for stream operations to run in parallel, when running operations in parallel can be less efficient, and when it is safe to run in parallel due to possible lambda expression side-effects. In this paper, we present an automated refactoring approach that assists developers in writing efficient stream code in a semantics-preserving fashion. The approach, based on a novel data ordering and typestate analysis, consists of preconditions for automatically determining when it is safe and possibly advantageous to convert sequential streams to parallel and unorder or de-parallelize already parallel streams. The approach was implemented as a plug-in to the Eclipse IDE, uses the WALA and SAFE analysis frameworks, and was evaluated on 11 Java projects consisting of ~642 thousand lines of code. We found that 36.31% of candidate streams were refactorable, and an average speedup of 3.49 on performance tests was observed. The results indicate that the approach is useful in optimizing stream code to their full potential.
description: htm_java.patch and java-design-patterns.patch are the changes made to the htm.java and java-design-patterns subjects, respectively, to increase the data size of the performance test as discussed with the developers. refactoring.patch is the transformations applied to the subjects as a result of the program analysis.
DOI: 10.14469/hpc/4708
title: Fluoridation, TS using O Def2-TZVPPD freq -1566.928179

description: Gaussian Calculation
DOI: 10.14469/hpc/4710
title: Fluoridation, TS using O 6-311_G(d,p) -1566.740543 =23.0 IRC

description: Gaussian Calculation
DOI: 10.7910/dvn/sj00mz/c5scnc
title: CO2_D4h.40

description: Carbon dioxide DFT B3LYP 6-311++G(2d,p) NBO output file (molecular orbitals). D4h point group symmetry.
DOI: 10.7910/dvn/sj00mz/dxev3e
title: CO2_D4h.31

description: Carbon dioxide DFT B3LYP 6-311++G(2d,p) NBO output file. D4h point group symmetry.
DOI: 10.7910/dvn/sj00mz/g5yzqj
title: CO2_D4h.37

description: Carbon dioxide DFT B3LYP 6-311++G(2d,p) NBO output file (natural bonding orbitals). D4h point group symmetry.
DOI: 10.7910/dvn/sj00mz/hujxm5
title: benzene.37

description: Benzene DFT B3LYP 6-311G(d,p) NBO output file (natural bonding orbitals).
DOI: 10.7910/dvn/sj00mz/q99k7c
title: benzene.31

description: Benzene DFT B3LYP 6-311G(d,p) NBO output file.
DOI: 10.7910/dvn/sj00mz/qaosan
title: CO2_D4h.46

description: Carbon dioxide DFT B3LYP 6-311++G(2d,p) NBO output file. D4h point group symmetry.
DOI: 10.7910/dvn/sj00mz/wc9mkl
title: benzene.46

description: Benzene DFT B3LYP 6-311G(d,p) NBO output file.
DOI: 10.7910/dvn/sj00mz/xxyqbd
title: benzene.40

description: Benzene DFT B3LYP 6-311G(d,p) NBO output file (molecular orbitals).
DOI: 10.14469/hpc/4711
title: OC: TS3, C-C bond formation with di-isopropyl amine present (S)-prolinol, -2861.847375. Product = (1S,2S,3R)

description: Gaussian Calculation
DOI: 10.18739/a2125q85r
title: Data from Cruise Healy 1302 along the Beaufort Margin, Arctic Ocean, 2013