cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/trsnzx
title: Replication Data for: How Local Media Coverage of Voter Fraud Influences Partisan Perceptions in the U.S.

description: Extant findings show that voter fraud is extremely rare and difficult to prove in the United States. Voter’s knowledge about voter fraud allegations likely comes through the media, who tend to sensationalize the issue. In this study, we argue that the more voters are exposed to media coverage of voter fraud allegations, the more likely that they will perceive that voter fraud is a frequent problem. We merge the 2012 Survey of Performance of American Elections with state-level media coverage of voter fraud leading up to the 2012 election. Our results show that media coverage of voter fraud is associated with public beliefs about voter fraud. In states where fraud was more frequently featured in local media outlets, public concerns about voter fraud were heightened. In particular, we find that press attention to voter fraud has a larger influence on Republicans than Democrats and Independents. We further find that media coverage of voter fraud does not further polarize partisan perceptions of voter fraud. Rather, political interest moderates state media coverage on voter fraud beliefs only among Republicans. Lastly, our results provide no support that demographic changes, approval of election administration, or information concerning actual reported voting irregularities have any discernable effects on partisan perceptions.
DOI: 10.18739/a2k00f
title: Collocation of cloud microphysical properties from space-based instruments, carbon monoxide concentration from a numerical model, and meteorological parameters from reanalysis in the Arctic, 2005-2010
DOI: 10.18739/a2ts1x
title: Collocation of cloud microphysical properties from space-based instruments, carbon monoxide concentration from a numerical model, and meteorological parameters from reanalysis in the Arctic, 2005-2010
DOI: 10.5281/zenodo.1188829
title: Raw coordinates of 3D landmarks related to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing Ovis aries morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al.

description: Raw coordinates from 3D landmarks of <em>Ovis aries </em>astragali. These bones originate from Final Bronze Age archaeological contexts from central and southeastern Kazakhstan. These relate to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing <em>Ovis aries</em> morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al.
DOI: 10.5281/zenodo.1188830
title: Raw coordinates of 3D landmarks related to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing Ovis aries morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al.

description: Raw coordinates from 3D landmarks of <em>Ovis aries </em>astragali. These bones originate from Final Bronze Age archaeological contexts from central and southeastern Kazakhstan. These relate to the article 'A new zooarchaeological application for geometric morphometric methods: Distinguishing <em>Ovis aries</em> morphotypes to address connectivity and mobility of prehistoric Central Asian pastoralists' by Haruda et al.
DOI: 10.14469/hpc/3773
title: 1-methyl-2-phenyl-1,3,2-diazaborinane, aug-pcSseg-1 27.8

description: Gaussian Calculation
DOI: 10.14469/hpc/3775
title: H3BNEt3 in chloroform aug-pcSseg-1 -19.0

description: Gaussian Calculation
DOI: 10.14469/hpc/3776
title: Hexamethylboranetriamine, D3 symmetry, aug-pcSseg-1 chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3777
title: hydroxydiphenylborane, aug-pcSseg-1 45.0

description: Gaussian Calculation
DOI: 10.14469/hpc/3778
title: hydroxybis(3,4,5-trifluorophenyl)borane, aug-pcSseg-1 42.8

description: Gaussian Calculation
DOI: 10.14469/hpc/3780
title: II(t) [tbp, twisted]

description: Gaussian Calculation
DOI: 10.14469/hpc/3781
title: I(c) [sqp, chair]

description: Gaussian Calculation
DOI: 10.14469/hpc/3782
title: I(t) [tbp, twisted] - Job 10036106

description: Gaussian Calculation
DOI: 10.14469/hpc/3783
title: II(c) [sqp, chair]

description: Gaussian Calculation
DOI: 10.14469/hpc/3784
title: III(t)-TS [oct, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3785
title: III(c)-TS [oct, chair] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3786
title: IV [oct, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3787
title: V [oct, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3788
title: VI-TS [oct, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3789
title: VI(c)-TS [oct, chair] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3790
title: VII [tbp, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3791
title: VIII [tbp, twisted] as per Figure S35

description: Gaussian Calculation
DOI: 10.14469/hpc/3792
title: hydroxydiphenylborane, aug-pcSseg-1 45.0

description: Gaussian Calculation
DOI: 10.14469/hpc/3793
title: 1-methyl-2-(3,4,5-trifluorophenyl)-1,3,2-diazaborinane, aug-pcSseg-1 31.0

description: Gaussian Calculation
DOI: 10.14469/hpc/3794
title: isopropoxydiphenylborane, aug-pcSseg-1 43.8

description: Gaussian Calculation
DOI: 10.14469/hpc/3795
title: IRC reverse from III(t)-TS leading to II(t)

description: Gaussian Calculation
DOI: 10.14469/hpc/3796
title: IRC reverse (continued) leading to II(t) [fromIII(t)-TS]

description: Gaussian Calculation
DOI: 10.14469/hpc/3797
title: IRC reverse from III(c)-TS leading to II(c)

description: Gaussian Calculation
DOI: 10.14469/hpc/3798
title: BCl3, aug-pcSseg-1

description: Gaussian Calculation
DOI: 10.14469/hpc/3800
title: IX(D) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3801
title: X(D)-TS as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3802
title: XI(D) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3803
title: XII(D) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3805
title: XIV(D) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3806
title: IX(L) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3807
title: X(L)-TS as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3808
title: XI(L) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3809
title: XII(L) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3810
title: XIII(L)-TS as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3812
title: BBr3 aug-pcSseg-1

description: Gaussian Calculation
DOI: 10.14469/hpc/3814
title: tri(pyrrolidin-1-yl)borane, wB97XD, aug-pcSseg-1 chloroform

description: Gaussian Calculation
DOI: 10.21942/uva.5952136.v1
title: Final Grades BayesStats 2018

description: Individual Grades and Final Grades of Students who followed the Bachelor course 'Introduction to Bayesian Statistics 2018'
DOI: 10.5066/f7zk5f5p
title: Data for sediment application to cypress and tupelo seedlings in greenhouse study - 2016

description: The decline of Taxodium distichum, bald cypress, forests along the Gulf Coast of North America is partly due to elevation loss and subsequent flooding. In many coastal wetlands, a common approach for coastal restoration is to rebuild elevation through the application of dredge spoil, but this technique has not been used widely in coastal forests due to concerns of negatively impacting trees. This experiment explored health responses of Nyssa aquatica, water tupelo, and T. distichum saplings to applications of low salinity dredge spoil in a greenhouse setting. Compared to controls, saplings of T. distichum grown in 7 and 15 cm sediment depths had higher final heights, and stem and total biomass while N. aquatica did not respond. Because saplings of these species were not negatively impacted by dredge spoil application in this greenhouse study, field trials using shallow sediment applications might be conducted with careful monitoring of ecosystem responses, e.g., seed bank expression, seedling regeneration, root and canopy production. Dredge spoil application has the potential to improve the ecosystem health of sinking swamp forests by raising their elevation.
DOI: 10.14469/hpc/3804
title: XIII(D)-TS as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3811
title: XIV(L) as per Figure S42

description: Gaussian Calculation
DOI: 10.14469/hpc/3813
title: hydroxydimesitylborane, aug-pcSseg-1 50.1

description: Gaussian Calculation
DOI: 10.5066/f72j6b22
title: Brady Canal hydrologic restoration (TE-28): 2016 habitat classification

description: The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Brady Canal Hydrologic Restoration (TE-28) project for 2016. This data set is used as a basemap for habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification is performed on specific CWPPRA sites to help assess landscape changes.
DOI: 10.5066/f7fx77z2
title: Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016

description: This dataset provides locations and values of water quality parameters from a four-day survey conducted between August 23, 2016 and August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Great South Bay, New York. Measured parameters include bottom dissolved oxygen (DO), salinity, specific conductance, water temperature, and pH. During the four day period, data was collected along 15 transects of the Great South Bay, totaling 60,480 observation points. From these point data, rasters showing the spatial distribution of bottom dissolved oxygen were generated using an interpolator in a GIS. A unique raster is provided for each day of the survey. All data files for download are available within 'Child Items' below. Observation point data are available as shapefiles while DO rasters are available as TIFFs. Both point data and DO rasters are made available as web mapping services. This allows for use in ArcGIS for Desktop, ArcGIS Online, and other web applications. For additional information on how to use web mapping services please visit http://server.arcgis.com/en/server/10.3/publish-services/linux/what-is-a-map-service.htm. Please note that the .sd files included are not meant to be open as standalone files, but rather were uploaded to generate the online web mapping service links provided.
DOI: 10.14469/hpc/3815
title: trimethyl borate aug-pcSseg-1, chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3816
title: tris(2,2,2-trifluoroethyl) borate, anti, anti, anti wB97XD/aug-pcSseg-1/scrf=chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3818
title: tert-butyl (R)-2-(((4S,8s)-tetrahydro-2H-4Î»4,8Î»4-[1,3,2]oxazaborolo[2,3-b][1,3,2]oxazaborol-8-yl)methyl)pyrrolidine-1-carboxylate aug-pcSseg-1, chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3819
title: isopropoxybis(3,4,5-trifluorophenyl)borane, aug-pcSseg-1 41.3

description: Gaussian Calculation
DOI: 10.14469/hpc/3820
title: tert-butyl (R)-2-((4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)methyl)pyrrolidine-1-carboxylate aug-pcSseg-1 32.5

description: Gaussian Calculation
DOI: 10.14469/hpc/3825
title: LiBH4. 3thf wB97XD/aug-pcSseg-1 in thf

description: Gaussian Calculation
DOI: 10.14469/hpc/3829
title: IX(D) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3831
title: XI(D) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3838
title: XII(L) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3828
title: VIII - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3830
title: X(D)-TS - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3832
title: XII(D) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3833
title: XIII(D)-TS - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3834
title: XIV(D) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3835
title: IX(L) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3836
title: X(L)-TS - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3837
title: XI(L) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3839
title: XIII(L)-TS - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3840
title: XIV(L) - M062X as per Table S5

description: Gaussian Calculation
DOI: 10.14469/hpc/3846
title: (E)-8-(3-methylbuta-1,3-dien-1-yl)tetrahydro-8H-8Î»4-[1,3,2]oxazaborolo[2,3-b][1,3,2]oxazaborole, aug-pcSEG-1 7.6

description: Gaussian Calculation
DOI: 10.14469/hpc/3847
title: 2,2-diphenyl-1,3,2Î»4-oxazaborolidine, wB97XD/aug-pcSseg-1 chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3848
title: (S)-4-methyl-8-(4-methyl-2-phenyl-3,6-dihydro-2H-1,2-oxazin-6-yl)dihydro-4Î»4,8Î»4-[1,3,2]oxazaborolo[2,3-b][1,3,2]oxazaborole-2,6(3H,5H)-dione in acetone, wB97XD/aug-pcSseg-1

description: Gaussian Calculation
DOI: 10.14469/hpc/3849
title: (benzylamino)bis(3,4,5-trifluorophenyl)-Î»4-boraneyl benzoate,wB97XD/ aug-pcSseg-1 -3.4, chloroform

description: Gaussian Calculation
DOI: 10.14469/hpc/3850
title: N-benzyl-1,1-dimesitylboranamine, aug-pcSseg-1 45.1

description: Gaussian Calculation
DOI: 10.1594/wdcc/wrf_noah_hwsd_world_top_st_v121
title: Global top soil texture data compatible with the WRF model based on the Harmonized World Soil Database (HWSD) at 30 arc-second horizontal resolution Version 1.21

description: Project: DFG Research Unit 1695 'Regional Climate Change' - The joint objective of the Project is to investigate the effects of global climate change on structure and functions of agricultural landscapes on a regional scale and to work out projections for their development until 2030 taking into consideration various possible socio-economic conditions and adaptation processes. In order to achieve these objectives, regional climate models coupled with land surface and crop models as well as with multi agent systems in a new integrated land system model have been used, and structure and parameterization of various model components are to be optimized. Field measurements and controlled experiments have been serving to improve model components and their parameterizations, and to validate the individual models and the coupled model system. more information see http://klimawandel.uni-hohenheim.de Summary: Data contain dominating soil type in a grid cell for the whole world at 30 arc-second (~1km) horizontal resolution. The data are based on Harmonized World Soil Database (HWSD), but reclassified according to the State Soil Geographic (STATSGO) classification table of the Weather Research and Forecasting (WRF) Model for NOAH and NOAH-MP Land Surface Models (LSMs). The source of the data is HWSD version 1.21, provided by the Food and Agriculture Organization of the United Nations (FAO), the International Institute for Applied Systems Analysis (IIASA), International Soil Reference and Information Centre (ISRIC), Institute of Soil Science - Chinese Academy of Sciences (ISSCAS) and Joint Research Centre of the European Commission (JRC) in 2012 (FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.21). FAO, Rome, Italy and IIASA, Laxenburg, Austria). Horizontal resolution: 0.0083333333333333° Type/units: categorical/1-16 categories Missing_value: -9999(ascii file), 241.0 (WRF-bin) Projection: regular latitude longitude
DOI: 10.18739/a2j004
title: Collocation of cloud microphysical properties from space-based instruments, a particle dispersion model, and a global atmospheric reanalysis in the Arctic, 2008-2010
DOI: 10.21942/uva.5955922.v1
title: Assignments Bayesian Statistics 2018

description: This file contains all student assignments in the 2018 Bachelor course 'Introduction to Bayesian Statistics'.
DOI: 10.5066/f78c9v6b
title: Flood Inundation Grids and Shapefiles for the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island

description: A series of 15 digital flood-inundation shapefiles and grids were developed for a 10.2 mile reach of the Pawtuxet River in West Warwick, Warwick, and Cranston, Rhode Island by the U.S. Geological Survey in cooperation with Rhode Island Emergency Management Agency and U.S. Army Corps of Engineers. The coverage of the maps extends from downstream of Natick Pond Dam near State Route 33/Providence Street bridge in West Warwick, to the rivers mouth at Pawtuxet Cove (Broad Street bridge) on the border between Cranston and Warwick, Rhode Island. A hydraulic model was used to compute water surface profiles for 15 flood stages at 1-foot (ft) intervals referenced to the streamgage and ranging from 8.0 feet (ft; 15.2 ft North American Vertical Datum of 1988), which is the National Weather Service Advance Hydrologic Prediction Services flood action stage, to 22.0 ft (29.2 ft North American Vertical Datum of 1988), which is the maximum rated stage at the streamgage and exceeds the National Weather Service Advance Hydrologic Prediction Services major flood stage of 13.0 ft. The simulated water-surface profiles were combined with a Geographic Information System digital elevation model derived from light detection and ranging (lidar) data with a 1.0-ft vertical accuracy to create flood inundation maps. The flood inundation maps depict estimates of the areal extent and depth of flooding corresponding to selected 15 flood stages at the U.S. Geological Survey Pawtuxet River at Cranston, Rhode Island streamgage (01116500).
DOI: 10.5066/f7pn94vn
title: Bathymetric data for St. Croix River at outlet to East Grand Lake and Forest City Dam Survey, United States-Canadian border between Maine and New Brunswick

description: These are survey data for the Forest City Dam at the Outlet to East Grand Lake on the St. Croix River between Maine and Canada. And they are bathymetric data surrounding the outlet dam collected with an Acoustic Doppler Current Profiler (ADCP)
DOI: 10.5281/zenodo.1170475
title: Vehicle Routing Problem with Drones Instances

description: The following instances are originally presented in the paper <em>An Adaptive Large Neighborhood Search Metaheuristic for the Vehicle Routing Problem with Drones</em>, written by David Sacramento Lechado, David Pisinger and Stefan Røpke, and published in <em>Transportation Research Part C: Emerging Technologies</em>. The data correspond to 112 instances corresponding to different scenarios for the Vehicle Routing Problem with Drones. Each instance is named <strong>n.m.t</strong>, where <strong>n</strong> is the number of customers in the scenario, <strong>m</strong> is the dimension of the grid, and <strong>t</strong> is the generic name of the scenario. Moreover, the data additionally contains 10 clustered instances, named <strong>n.m.c.t</strong>, where <strong>c</strong> refers to the cluster-feature of the instance, 100 instances for the sensitivity analysis, named <strong>n.m.s.t</strong>, where <strong>s</strong> stands for sensitivity, and 375 instances for the experiments with drone savings as function of grid size, named <strong>n.m.g.t</strong>. The first line of each instance file indicates the number of customers in the specific instance. The second line is the header for the characteristics of each customer, where it is written <em>Coordinate X, Coordinate Y</em> and <em>Demand. </em>The following provides the previous information for each customer in the instance. Finally, there is an extra file, named <strong>RouteData,</strong> which provides information about the value of the parameters in the main configuration of the problem. These parameters are: <strong>TruckSpeed: </strong>Speed in mpm (miles per minute) of the trucks. <strong>DroneSpeed: </strong>Speed in mpm of the drones. <strong>TruckCapacityWithDrones: </strong>Maximum capacity of the trucks for the drone-truck scenario. <strong>TruckCapacityWithoutDrones: </strong>Maximum capacity of the trucks for the truck-only scenario. <strong>DroneCapacity:</strong> Maximum allowed weight a drone can carry. <strong>ServiceTimeTruck:</strong> Required service time for a truck to service a customer. <strong>ServiceTimeDrone:</strong> Required service time for a drone to service a customer. <strong>Endurance: </strong>Maximum flight endurance of the battery of the drone. <strong>MaximumDriveTime: </strong>Maximum duration time of the routes. <strong>LaunchTime: </strong>Required time for launching a drone. <strong>RecoveryTime: </strong>Required time for recovering a drone. <strong>CostFactor:</strong> Corresponding parameter for computing the cost for a truck for traversing arc (i,j), given by fuel price (euro/liter), consumption rate (liter/km) and miles converter (km/miles). <strong>DroneFactor: </strong>Corresponding parameter for computing the cost for a drone for traversing arc (i,j) with respect to the truck cost.
description: {"references": ["Sacramento, D., Pisinger, D., & Ropke, S. (2019). An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones. Transportation Research Part C: Emerging Technologies, 102, 289-315."]}
DOI: 10.5063/f1639mwv
title: Alaska Board of Fish Proposals 1959-2016

description: Every three years, the Alaska Board of Fish (Board) calls for regional fisheries management proposals, inviting the public to directly participate in fisheries governance. Anyone can submit a proposal and provide written or oral testimony on any of the proposals, which constitute potential regulatory changes and are accessible in an online proposal book. Proposals are logged by Board staff and recorded in the meeting documents, which are stored online and archived at the State, Library, Archives, and Museum (SLAM) in Juneau. Each proposal contains valuable information about stakeholder demographics, affiliations, interests, and positions on allocation disputes. Alaska' s inclusion of stakeholders in its decision-making process began in 1959, decades before researchers, managers, and politicians began advocating for increased stakeholder involvement in fisheries management. Stakeholder participation is now lauded as a key component to successful fisheries management, but little data exists that characterizes and assesses this participation. Using integrated data digitization and coding methods, this database quantifies stakeholder participation in Alaska's fisheries management.
DOI: 10.14469/hpc/3851
title: Article: Simplifying spectroscopic supplementary data collection
DOI: 10.14469/hpc/3853
title: 2,2'-bibenzo[d][1,3,2]dioxaborole, aug-pcSeg-1

description: Gaussian Calculation
DOI: 10.15468/rzhm3l
title: Isoptera Species File in the Catalogue of Life

description: Isoptera Species File is a digital global checklist of extant and fossil termite species. The list of valid names is derived from seven volumes of &lt;i&gt;Treatise on the Isoptera of the World&lt;/i&gt; by &lt;i&gt;Krishna, K., Grimaldi, D. A., Krishna, V., and M. S. Engel (2013)&lt;/i&gt; published in the &lt;i&gt;Bulletin of the American Museum of Natural History, 377: 1-2704&lt;/i&gt;. &lt;a href="https://doi.org/10.1206/377.1" target="_blank"&gt;doi: 10.1206/377.1&lt;/a&gt;. Future versions of the database will include synonyms, references, and distribution data.