cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/dq5f-bf90
title: Frequency Domain Dielectric Spectrum Characteristic Parameters and Water Balance Curve Characteristic Parameters of Oil-Paper Insulation

description: Itgives the test results of a few typical samples to analyze the difference in the effect of moisture and aging on FDS curves. (a) and (b) take A1 and A4 samples as examples, respectively, to show the effect of moisture on frequency domain dielectric spectra. It can be seen that the frequency-domain response curves of dielectric loss increase with increase in the moisture content for both unaged and severely aged samples, and there is a difference of nearly two orders of magnitude between dry samples and severely damped samples. (c) and (d) show the effect of aging degree on the FDS curve. It can be seen that the effect of aging on dielectric loss spectra is much smaller than that of water. In contrast, for drier samples (c), aging can also increase dielectric loss, while for wetter samples (d), the effect of aging on dielectric loss becomes very weak and difficult to identify.
DOI: 10.13023/mj99-xb82
title: Predation on Stink Bugs (Hemiptera: Pentatomidae) in Cotton and Soybean Agroecosystems [Predator Capture Numbers]

description: Description: Stink bugs (Hemiptera: Pentatomidae) are significant pests of cotton and soybeans in the southeastern United States with annual control costs exceeding $14 million in these crops. Three of the most prominent stink bug pests are the southern green (Nezara viridula), brown (Euschistus servus) and green (Chinavia hilaris) stink bugs. To determine trophic linkages between generalist arthropod predators and these pests, species-specific 16S molecular markers were designed and used to detect the presence of prey DNA in predator gut-contents. Over 2700 predators were collected over two growing seasons in cotton and soybean in southern Georgia in 2011 and 2012 and screened for stink bug DNA. Trophic linkages were analyzed relative to prey availability, crop type and field location. The frequency of stink bug DNA in predator guts was negligible on E. servus (0.23%) and C. hilaris (0.09%). Overall gut content detection of N. viridula was 3.3% and Geocoris sp. (Hemiptera: Geocoridae), Orius sp. (Hemiptera: Anthocoridae) and Notoxus monodon (Coleoptera: Anthicidae) were the primary predators. This contrasts with previous studies that reported a much more diverse suite of predators consuming stink bugs with much higher frequency of gut-content positives. The discrepancy between studies highlights the need for replicating studies in space and time, especially if the goal is to implement effective and durable conservation biological control in integrated pest management.  Creators' ORCID IDs: Kacie J. Athey: https://orcid.org/0000-0003-1790-6530  John R. Ruberson: https://orcid.org/0000-0002-4475-8177  Copyright: © 2019 Athey, Ruberson, Olson, and Harwood  This dataset is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided that the dataset creators and source are credited and that changes (if any) are clearly indicated.
DOI: 10.21227/kh9f-fk54
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.21227/ycnh-0673
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area. It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.21227/zzk5-hy63
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561. &lt;br /&gt;This dataset aim to promote research in the acoustic reasoning area. &lt;br /&gt;It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.15121/1495389
title: Seismic Analysis of Spatio-Temporal Fracture Generation During EGS Resource Development - Full Moment Tensors and Stress Inversion Catalogs

description: This submission contains 167 full moment tensor (MT) solutions for the seismicity observed two years prior and three years post start of injection activities. Also included are the azimuth and plunge angles for the three main stress directions sigma1, sigma 2 and sigma 3 at the Prati32 EGS demonstration site in the northwest Geysers geothermal reservoir. The data are divided into 15 time periods spanning a range of five years, including two years prior to start of injection until three years post start of injection activities.
DOI: 10.15121/1495394
title: Fault Information and Seismicity for the Portland Basin Deep Direct-Use Feasibility Study

description: Included in this dataset is a spreadsheet with the primary fault information used in the basin model, a spreadsheet with earthquake magnitude estimates, and a figure showing location of faults and microseismicity in the Portland Basin
DOI: 10.21227/bky6-jp34
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.21227/ptrf-1084
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561. This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.15121/1495406
title: Utah FORGE: Well Data for Student Competition

description: Well 58-32 (previously labeled MU-ESW1) was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. Well Accord-1 was drilled decades ago for geothermal exploration purposes. While the conditions encountered in the well were not suitable for developing a conventional hydrothermal system, the information obtained suggested the region may be suitable for an enhanced geothermal system. Geophysical well logs were collected in both wells to obtain useful information regarding there nature of the subsurface materials. For the recent testing of 58-32, the Utah FORGE Project contracted with the well services company Schlumberger to collect the well logs.
DOI: 10.15121/1495410
title: Utah FORGE: Area Terrain Slope Data

description: This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.
DOI: 10.15121/1495411
title: Utah FORGE: Drilling Data for Student Competition

description: Diagnostic drilling data (Pason log files) from Well 58-32 (previously labeled MU-ESW1), which was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. This dataset includes both raw, unprocessed drilling data recorded at 1Hz and a processed version downscaled to ~0.3m (1 ft) intervals. Diagnostic drilling data were collected to obtain useful information regarding the nature of the subsurface materials and performance of the drilling rig and drilling bits, including rate of penetration (ROP), weight on bit, temperature, pump pressure, etc.
DOI: 10.25345/c5h61m
title: MassIVE MSV000083474 - Proteomics Data in Support of "20S Proteasome as a novel drug target in Trichomonas vaginalis"
title: Proteomics Data in Support of "20S Proteasome as a novel drug target in Trichomonas vaginalis"
DOI: 10.5063/f1z31wxd
title: General mapping functions for data associated with the State of Alaska's Salmon and People (SASAP) project, 2019

description: This dataset includes a set of R scripts which contain functions and themes used to make standardized maps of data associated with the SASAP project. These functions are generalized somewhat to allow for mapping of a variety of habitat and social data collected as part of the project. All maps created using these functions contain the same basemaps, including bathymetry, rivers, lakes, and locations and names of communities. The functions are written so that they are able to be run "as is," leveraging archived data from other sources to enable a high degree of reproducibility and re-use.
DOI: 10.15121/1495417
title: Geocellular Model of Mt. Simon Sandstone for University of Illinois at Urbana-Champaign DDU feasibility study

description: The geocellular model of the Mt. Simon Sandstone was constructed for the University of Illinois at Urbana-Champaign DDU feasibility study. Starting with the initial area of review (18.0 km by 18.1 km [11.2 miles by 11.3 miles]) the boundaries of the model were trimmed down to 9.7 km by 9.7 km (6 miles by 6 miles) to ensure that the model enclosed a large enough volume so that the cones of depression of both the production and injection wells would not interact with each other, while at the same time minimizing the number of cells to model to reduce computational time. The grid-cell size was set to 61.0 m by 61.0 m (200 feet by 200 feet) for 160 nodes in the X and Y directions. Within the model, 67 layers are represented that are parameterized with their sediment/rock properties and petrophysical data. The top surface of the Mt. Simon Sandstone was provided by geologists working on the project, and the average thickness of the formation was taken from the geologic prospectus they provided. An average thickness of 762 m (2500 feet) was used for the Mt. Simon Sandstone, resulting in 60 layers for the model. Petrophysical data was taken from available rotary sidewall core data (Morrow et al., 2017). As geothermal properties (thermal conductivity, specific heat capacity) are closely related to mineralogy, specifically the percentage of quartz, available mineralogical data was assembled and used with published data of geothermal values to determine these properties (Waples and Waples, 2004; Robertson, 1988). The Mt. Simon Sandstone was divided into three separate units (lower, middle, upper) according to similar geothermal and petrophysical properties, and distributed according to available geophysical log data and prevailing interpretations of the depositional/diagenetic history (Freiburg et al. 2016). Petrophysical and geothermal properties were distributed through geostatistical means according to the associated distributions for each lithofacies. The formation temperature was calculated, based on data from continuous temperature geophysical log from a deep well drilled into the Precambrian basement at the nearby Illinois Basin Decatur Project (IBDP) where CO2 is currently being sequestered (Schlumberger, 2012). Salinity values used in the model were taken from regional studies of brine chemistry in the Mt. Simon Sandstone, including for the IBDP (e.g., Panno et al. 2018). After being reviewed by the project's geologists, the model was then passed onto the geological engineers to begin simulations of the geothermal reservoir and wellbores.
DOI: 10.15121/1495420
title: Acquisition and Processing of a Detailed Aeromagnetic Survey Glass Buttes, Oregon

description: Using an ultra-light aircraft, a high-resolution aeromagnetic survey was carried out over Ormat Nevada's Glass Buttes project area in Oregon. Survey operations were completed on May 25, 2010. Average terrain clearance was 223 meters from the sensor. A total of 1,352 line-miles of aeromagnetic data were acquired. Processed survey data includes a total magnetic intensity map, reduced to pole (TMI) map, horizontal gradient (RTP) map, tilt derivative (RTP) map, and a horizontal gradient map of the tilt derivative grid.
DOI: 10.15121/1495421
title: Remote Sensing and Geology of Glass Buttes, Oregon

description: This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT. The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 acres). The "LiDAR Remote Sensing Report" reflects statistics for the overall LiDAR survey. An airborne hyperspectral scanner imagery survey over an area in Glass Buttes, Oregon. The "HyMap Survey Processing Report" describes the processing that has been applied to the HyMap data to produce a number of image products including overview colour composites, decorrelation colour composites, minimum noise fraction (MNF) colour composites, and unmixed end-member mineral map. To produce these products the data first has various processes applied to it that converts the raw data into reflectance imagery which is then geometrically corrected and radiometrically leveled so that seamless image mosaics are produced. A detailed geologic map with cross sections of the Glass Buttes Volcanic Complex, Oregon is also included.
DOI: 10.15121/1495430
title: 2D Seismic Profiles, Nevada Play Fairway - Granite Springs Valley

description: This data is associated with the Nevada Play Fairway project and contains 2D seismic profile data in cropped jpegs and tiffs, both interpreted and uninterpreted. Seismic data owned or controlled by Seismic Exchange, Inc.; interpretation is that of the University of Nevada, Reno.
DOI: 10.5517/ccdc.csd.cc20syg7
title: CCDC 1871019: Experimental Crystal Structure Determination

description: Related Article: Fabian Dankert, Carsten von Hänisch|2019|Inorg.Chem.|58|3518|doi:10.1021/acs.inorgchem.9b00086
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t2wt
title: CCDC 1871156: Experimental Crystal Structure Determination

description: Related Article: Yongfeng Huang, Randi Zhang, Tongling Liang, Xinquan Hu, Gregory A. Solan, Wen-Hua Sun|2019|Organometallics|38|1143|doi:10.1021/acs.organomet.8b00924
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t2xv
title: CCDC 1871157: Experimental Crystal Structure Determination

description: Related Article: Yongfeng Huang, Randi Zhang, Tongling Liang, Xinquan Hu, Gregory A. Solan, Wen-Hua Sun|2019|Organometallics|38|1143|doi:10.1021/acs.organomet.8b00924
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t8sx
title: CCDC 1871339: Experimental Crystal Structure Determination

description: Related Article: Meng Deng, Xiao Zhang, Zining Li, Hongbin Chen, Shaoli Zang, Guangxin Liang|2019|Org.Lett.|21|1493|doi:10.1021/acs.orglett.9b00285
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t8ty
title: CCDC 1871340: Experimental Crystal Structure Determination

description: Related Article: Meng Deng, Xiao Zhang, Zining Li, Hongbin Chen, Shaoli Zang, Guangxin Liang|2019|Org.Lett.|21|1493|doi:10.1021/acs.orglett.9b00285
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t8vz
title: CCDC 1871341: Experimental Crystal Structure Determination

description: Related Article: Meng Deng, Xiao Zhang, Zining Li, Hongbin Chen, Shaoli Zang, Guangxin Liang|2019|Org.Lett.|21|1493|doi:10.1021/acs.orglett.9b00285
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20t8w0
title: CCDC 1871342: Experimental Crystal Structure Determination

description: Related Article: Meng Deng, Xiao Zhang, Zining Li, Hongbin Chen, Shaoli Zang, Guangxin Liang|2019|Org.Lett.|21|1493|doi:10.1021/acs.orglett.9b00285
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15121/1495431
title: Gravity, Granite Springs Valley, Nevada Play Fairway Analysis

description: All raw data for new data acquired, key grids such as CBA and horizontal derivative, acquisition report, and depth models. This gravity data is associated with the Nevada Play Fairway project.
DOI: 10.15121/1495432
title: Fluid Geochemistry, Granite Springs Valley, Nevada Play Fairway Analysis

description: This data set is associated with the Nevada Play Fairway project. Excel file 5-Area Chem contains all the major chemistry for the areas sampled in the project. New analyses are in lines 2-30, while older analyses appear below that. Field Data excel file contains both field notes and data with ninety entries showing sixty areas not sampled either because they were to dry, cold, or unable to locate. Thirty sites were sampled and their sample numbers appear in this file corresponding to those in the 5-Area Chemistry file. Excel file 5-Area Geothermometer contains a summary of geothermometers calculated for the new and historical data sets. Scanned field sheets are attached as a pdf.
DOI: 10.15121/1495433
title: LiDAR, Granite Springs Valley, Nevada Play Fairway Analysis

description: This data is associated with the Nevada Play Fairway project and contains the entire package of LiDAR data for Granite Springs Valley.
DOI: 10.15121/1495434
title: Geologic Map, Granite Springs Valley, Nevada Play Fairway Analysis

description: Geologic map associated with the Nevada Play Fairway project. Includes Sinter and Tufa location, slip and dilation tendency, Quaternary faults, and LiDAR.
DOI: 10.21227/70pa-g015
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.
DOI: 10.21227/dy9y-nq64
title: CLEAR: A Dataset for Compositional Language and Elementary Acoustic Reasoning

description: We introduced the task of acoustic question answering (AQA) in https://arxiv.org/abs/1811.10561.This dataset aim to promote research in the acoustic reasoning area.It comprise Acoustic Scenes and multiple questions/answers for each of them.Each question is accompanied by a functional program which describe the reasoning steps needed in order to answer it. The dataset is constitued is separated in 3 sets :Training35 000 acoustic scenes1 400 000 questions/answersValidation7 500 acoustic scenes300 000 questions/answersTest7 500 acoustic scenes300 000 questions/answers The generation code is available at https://github.com/IGLU-CHISTERA/CLEAR-dataset-generationThe dataset can be easily regenerated with a different amount of scene/questions/answers.