cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f72b8x71
title: Remote sensing derived maps of tamarisk (2009) and beetle impacts (2013) along 412 km of the Colorado River in the Grand Canyon, Arizona

description: These data were compiled for quantifying the area of tamarisks (Tamarix spp.) in May 2009 and to quantify the area of beetle-impacted tamarisk in May 2013 within the 2009 tamarisk classification from Glen Canyon Dam to Separation Canyon, a total distance of 412 km along the Colorado River using the 2009 and 2013 0.2 m high-resolution airborne imagery datasets. We classified tamarisk presence in 2009 using the Mahalanobis Distance method with a total of 2,500 training samples, and assessed the classification accuracy with an independent set of 7,858 samples across 49 image quads. A total of 214 ha of tamarisk was detected in 2009 along the Colorado River, where each image quad, on average, included 8.4 km section of the river. Tamarisk detection accuracies varied across the 49 image quads, but the combined overall accuracy across the entire study region was 74%. The 2013 Beetle-impacted dataset was created by calculating NDVI values using 2009 and 2013 multispectral imagery only within pixels classified as tamarisks in the 2009 multispectral dataset. A region-specific NDVI ratio of &gt;1.5 decline between the two image dates (2009NDVI/2013NDVI) was developed to identify tamarisks impacted by beetle herbivory. The area of beetle-impacted tamarisks varies greatly throughout the canyon, but totaled 32.1 hectares. The Glen Canyon area indicated the greatest amount of hectares of beetle-impacted tamarisk in the study region. These data are intended to be useful for monitoring, research and management related to riparian vegetation. These data can be used for GIS activities including; examining the densities of tamarisk spatially, and change detection analysis. These datasets was designed specifically to assist in quantifying the area of tamarisk impacted by the tamarisk beetle, a biological control agent that arrived in the state of Arizona in 2009. Researchers and managers can use this data to identify beetle-impacted tamarisk areas for further study to better understand the response of the plant communities to tamarisk defoliation and possible mortality. This data may also aid in planning possible restoration efforts by identifying heavily beetle-impacted areas. Include, reference to the manuscript including the DOI number: EXAMPLE: These data are associated with the journal manuscript: Muehlbauer, J. D., Kennedy, T.A., Copp, A.J., and Sabol, T.A., 2016, Deleterious effects of net clogging on the quantification of stream drift, Can. J. Fish. Aquat. Sci., https://doi.org/10.1139/cjfas-2016-0365.
DOI: 10.5066/f77m06dv
title: Water surface elevations recorded by submerged water level loggers in off-channel features of the middle and upper Willamette River, Oregon, Summer, 2016

description: Water surface elevations within seven Willamette River off-channel features (OCF; alcoves and side channels) were measured using submerged pressure transducers. Transducers were installed from late May through mid-October, 2016, when discharge of the Willamette River was between approximately 5,500 and 45,000 cubic feet per second at Salem, Oregon (USGS gage 14191000) and 3,500 to 17,500 cubic feet per second at Harrisburg, Oregon (USGS gage 14166000). Pressure transducer sensor depth was measured at all seven sites. For five of the sites, pressure transducer sensor depths were converted to water surface elevations by surveying the water surface at each transducer with a real-time kinematic global positioning system (RTK-GPS). Additionally, three barometric sensors were installed for barometric compensation of the water levels. These pressure transducer data sets were collected to characterize relationships between Willamette River discharges and water surface elevations in off-channel features. The USGS reserves the right to place these data into the USGS National Water Information System (NWIS) database at some point in the future, at which point the NWIS copy of the data would become the definitive copy.
DOI: 10.5066/f7n015qc
title: Stream fish species abundance and associated physical habitat data in Catoctin Mountain Park (2015-2016)

description: This Data Release provides records of fish species abundance collected during summer 2015 using single pass backpack electrofishing within sections of Owens Creek, Big Hunting Creek, and Blue Blazes Creek (a tributary to Big Hunting Creek) in Maryland (USA). We also provide water and air temperature data collected during at 30 minute increments summers of 2015 and 2016. Stream physical habitat data are also reported for fish sampling sites.
DOI: 10.5281/zenodo.1213260
title: Binary black-hole simulation SXS:BBH:0073

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213270
title: Binary black-hole simulation SXS:BBH:0076

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213341
title: Binary black-hole simulation SXS:BBH:0091

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213515
title: Binary black-hole simulation SXS:BBH:0148

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213658
title: Binary black-hole simulation SXS:BBH:0159

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213701
title: Binary black-hole simulation SXS:BBH:0162

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213705
title: Binary black-hole simulation SXS:BBH:0163

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213722
title: Binary black-hole simulation SXS:BBH:0165

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213732
title: Binary black-hole simulation SXS:BBH:0166

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213738
title: Binary black-hole simulation SXS:BBH:0167

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213746
title: Binary black-hole simulation SXS:BBH:0168

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213756
title: Binary black-hole simulation SXS:BBH:0169

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213768
title: Binary black-hole simulation SXS:BBH:0170

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213770
title: Binary black-hole simulation SXS:BBH:0171

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213778
title: Binary black-hole simulation SXS:BBH:0172

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213790
title: Binary black-hole simulation SXS:BBH:0174

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214148
title: Dividing the Ontology Alignment Task

description: Large ontologies still pose serious challenges to state of the art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively segment an input ontology matching task into smaller and more tractable (sub)matching tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate in practice and can be integrated within the workflow of state of the art systems.
description: Material to support a paper submission.
DOI: 10.5281/zenodo.1214149
title: Dividing the Ontology Alignment Task

description: Large ontologies still pose serious challenges to state of the art ontology alignment systems. In the paper we present an approach that combines a lexical index, a neural embedding model and locality modules to effectively segment an input ontology matching task into smaller and more tractable (sub)matching tasks. We have conducted a comprehensive evaluation using the datasets of the Ontology Alignment Evaluation Initiative. The results are encouraging and suggest that the proposed methods are adequate in practice and can be integrated within the workflow of state of the art systems.
description: Material to support a paper submission.
DOI: 10.5281/zenodo.1214163
title: Binary black-hole simulation SXS:BBH:0074

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.18739/a26p32
title: Arctic Great Rivers Observatory II biogeochemistry and discharge data, 2012 - 2016
DOI: 10.5063/f1gb227z
title: EVOS data archiving project results: data, code and output (2016)

description: These data quantify the results of a two year data archiving effort by a small group of researchers and students at the National Center for Ecological Analysis and Synthesis at UC Santa Barbara in collaboration with the Gulf Watch Alaska synthesis group and funded by the Exxon Valdez Oil Spill Trustee Council (EVOSTC). The EVOSTC was formed following the Exxon Valdez oil spill in Alaska in 1989. Since then, the EVOSTC has funded hundreds of projects and in 2012 we began a project to recover and archive the data collected during these EVOSTC funded projects. These data and analyses summarize the archiving project results and inform a manuscript (Funder imposed data publication requirements seldom inspire data sharing) in which we ask 5 main questions about the data collected from the Exxon Valdez Oil Spill Trustee Council funded projects: 1. Twenty-five years after the EVOS, for how many projects funded by EVOSTC can we collect data? 2. Are there certain research fields that are more likely to make data available than others? 3. Are there certain sectors that are more likely to make data available than others? 4. Is the availability of data correlated to how old the data are? 5. Why did people refuse to share their data? The data here are a quantification of the responses to data outreach efforts, a data analysis script and results PDF as well as a figures script and output figures PDF.
DOI: 10.5066/p90gaybk
title: Beaver-related Stream Restoration Projects in Western Rangelands

description: We systematically surveyed federal and state wildlife biologists, hydrological specialists, non-profit organizations, and working groups focused on beaver or wetland restoration in the western U.S. We focused primarily on contacting land managers from states containing some portion of the Great Basin, although many of the projects described in surveys fell outside of this watershed. Some land managers suggested colleagues who might be interested in participating in our study and these individuals were added to our list of contacts. We also performed a literature search using Google Scholar. We included only articles that were focused on primary research performed in the arid or semi-arid western US. We compiled all of the collected information into a geodatabase using ArGIS 10.3.1 (ESRI, Redmond, CA). Although some projects included coordinates for the locations of beaver release, this information was not included in the database and georeferenced points were offset from the precise location of the projects to protect the sites.
DOI: 10.5281/zenodo.1213716
title: Binary black-hole simulation SXS:BBH:0164

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1213785
title: Binary black-hole simulation SXS:BBH:0173

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214284
title: Binary black-hole simulation SXS:BBH:0185

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214288
title: Binary black-hole simulation SXS:BBH:0186

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214292
title: Binary black-hole simulation SXS:BBH:0187

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214305
title: Binary black-hole simulation SXS:BBH:0207

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214310
title: Binary black-hole simulation SXS:BBH:0208

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214320
title: Binary black-hole simulation SXS:BBH:0219

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214322
title: Binary black-hole simulation SXS:BBH:0220

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214324
title: Binary black-hole simulation SXS:BBH:0221

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214329
title: Binary black-hole simulation SXS:BBH:0222

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214331
title: Binary black-hole simulation SXS:BBH:0223

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214333
title: Binary black-hole simulation SXS:BBH:0224

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214343
title: Binary black-hole simulation SXS:BBH:0235

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214346
title: Binary black-hole simulation SXS:BBH:0236

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214348
title: Binary black-hole simulation SXS:BBH:0237

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5439/1432043
title: Oklahoma Mesonet Soil Moisture

description: Oklahoma Mesonet 30-minute averaged soil moisture data.
DOI: 10.14469/hpc/4015
title: Carbene, open form. G=-1065.675358

description: Gaussian Calculation
DOI: 10.14469/hpc/4016
title: Carbene, closed form G=-1065.678514, -1.98

description: Gaussian Calculation
DOI: 10.14469/hpc/4019
title: HDA-2+4 mechanism, Reactant, trans + HCl, p=Cl HCl form, rotated -1728.518693

description: Gaussian Calculation
DOI: 10.14469/hpc/4021
title: Borate amidation. TI1 formed from two reactants -1135.376392 ÎÎG = 0.0

description: Gaussian Calculation
DOI: 10.5281/zenodo.1214359
title: Binary black-hole simulation SXS:BBH:0252

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214373
title: Binary black-hole simulation SXS:BBH:0263

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214377
title: Binary black-hole simulation SXS:BBH:0264

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214383
title: Binary black-hole simulation SXS:BBH:0265

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214387
title: Binary black-hole simulation SXS:BBH:0266

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214398
title: Binary black-hole simulation SXS:BBH:0277

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214404
title: Binary black-hole simulation SXS:BBH:0278

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.14469/hpc/4022
title: (M,R,R,R,R)-4, m062x/6-311+G(d,p)/SCRF=chloroform, ORD @ 390nm 370nm 350nm 330nm 310nm 290nm

description: Gaussian Calculation
DOI: 10.14469/hpc/4023
title: Borate amidation. TS2, PT from unbridged acyl oxygen to bridged acyl oxygen, followed by C-N bond cleavage, -1135.342832 G=21.0

description: Gaussian Calculation
DOI: 10.15468/zofuvf
title: A Checklist of Tree Species in the Miombo Woodlands of Western Tanzania

description: Miombo is the vernacular word for Brachystegia, a genus of tree comprising a large number of tree species together with Julbernadia species in woodlands. Miombo woodland is classified in the tropical and subtropical grasslands, savannas, and shrublands biome. The biome includes four woodland savanna ecoregions characterized by the predominant presence of miombo species, with a range of climates from humid to semi-arid, and tropical to subtropical or even temperate.
DOI: 10.5281/zenodo.1214280
title: Binary black-hole simulation SXS:BBH:0175

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214295
title: Binary black-hole simulation SXS:BBH:0188

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214301
title: Binary black-hole simulation SXS:BBH:0198

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214316
title: Binary black-hole simulation SXS:BBH:0209

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214337
title: Binary black-hole simulation SXS:BBH:0225

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214350
title: Binary black-hole simulation SXS:BBH:0238

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214355
title: Binary black-hole simulation SXS:BBH:0239

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214357
title: Binary black-hole simulation SXS:BBH:0242

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214394
title: Binary black-hole simulation SXS:BBH:0267

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214408
title: Binary black-hole simulation SXS:BBH:0279

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214414
title: Binary black-hole simulation SXS:BBH:0283

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214416
title: Binary black-hole simulation SXS:BBH:0284

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214423
title: Binary black-hole simulation SXS:BBH:0285

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214425
title: Binary black-hole simulation SXS:BBH:0286

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214437
title: Binary black-hole simulation SXS:BBH:1363

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214439
title: Binary black-hole simulation SXS:BBH:1364

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214441
title: Binary black-hole simulation SXS:BBH:1365

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214449
title: Binary black-hole simulation SXS:BBH:1366

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214457
title: Binary black-hole simulation SXS:BBH:1367

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214478
title: Binary black-hole simulation SXS:BBH:0176

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214480
title: Binary black-hole simulation SXS:BBH:0177

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214482
title: Binary black-hole simulation SXS:BBH:0189

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214484
title: Binary black-hole simulation SXS:BBH:0199

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214488
title: Binary black-hole simulation SXS:BBH:0200

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214494
title: Binary black-hole simulation SXS:BBH:0201

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214496
title: Binary black-hole simulation SXS:BBH:0211

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214500
title: Binary black-hole simulation SXS:BBH:0212

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214506
title: Binary black-hole simulation SXS:BBH:0240

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214514
title: Binary black-hole simulation SXS:BBH:0241

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214534
title: Binary black-hole simulation SXS:BBH:0243

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214572
title: Binary black-hole simulation SXS:BBH:0254

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214574
title: Binary black-hole simulation SXS:BBH:0255

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214583
title: Binary black-hole simulation SXS:BBH:0256

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214597
title: Binary black-hole simulation SXS:BBH:0268

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214634
title: Binary black-hole simulation SXS:BBH:0271

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214640
title: Binary black-hole simulation SXS:BBH:0272

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214646
title: Binary black-hole simulation SXS:BBH:0273

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214652
title: Binary black-hole simulation SXS:BBH:0287

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214666
title: Binary black-hole simulation SXS:BBH:0298

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214670
title: Binary black-hole simulation SXS:BBH:0299

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214676
title: Binary black-hole simulation SXS:BBH:0318

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214684
title: Binary black-hole simulation SXS:BBH:0319

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214690
title: Binary black-hole simulation SXS:BBH:0320

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214699
title: Binary black-hole simulation SXS:BBH:0321

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214852
title: Binary black-hole simulation SXS:BBH:0178

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214855
title: Binary black-hole simulation SXS:BBH:0179

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214858
title: Binary black-hole simulation SXS:BBH:0180

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214860
title: Binary black-hole simulation SXS:BBH:0181

description: Simulation of a black-hole binary system evolved by the SpEC code.