cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15121/1493768
title: Development of 3D Geological Model of Tuscarora Sandstone for Feasibility of Deep Direct-Use Geothermal at West Virginia University Main Campus

description: The subsurface uncertainty at West Virginia University Main Campus is dominated by the uncertainty in the projections of geofluid flowrate in the target formation, the Tuscarora Sandstone. In this paper, three cores from the heterogeneous reservoir, available through West Virginia Geologic and Economic Survey, are analyzed by performing core analysis using CT scanning and permeability measurements via minipermeameter. Additional geological data are collected through cores, published literature, seismic data, and nearby, existing wells to estimate thickness, fracture network configuration and geothermal gradient to minimize the uncertainty of well deliverability. Using these estimated reservoir properties; a 3D conceptual model for the proposed geothermal site is developed. This dataset includes a GRC conference publication along with the data used to produce results explained in the paper including minipermeability measurement data for Preston -119 core and thin section analysis photos and data for Clay-513 core.
DOI: 10.15121/1493769
title: Utah FORGE: Milford Deep Test Well 58-32 (MU-ESW1) Pressure and Temperature Logs

description: This archive consists of a pdf graphic log and a LAS text file representing the results of the pressure and temperature logs measured on Nov. 8th, 2018 from the Utah FORGE deep test well 58-32 (MU-ESW1). The logs were taken by DI Drill Survey Services.
DOI: 10.15121/1493808
title: Snake River Plain Geothermal Play Fairway Analysis Project Active Source Seismic Data

description: This archive contains seismic shot field records for 10 profiles located in Camas Prairie, Idaho. The eight numbered .sgy files were acquired using a seismic land streamer system with an accelerated weight drop source and 72 geophones. These 10-Hz geophones were mounted on base plates and dragged behind the seismic source. Shots were acquired every 4 meters along the length of lines 500West, 550 West, 600West, 700West, 800West, 900West, 200South and 200North. The objective was to map stratigraphy and structures related to geothermal fluid flow in the upper few hundred meters. A readme file is included with descriptions of individual files. The lines names refer to to roads which are numbered relative to the distance from the county seat (the town of Fairfield) along the the main highways. For example, 500 West implies that this north-south street crosses the main road 5 miles to the west of town. The included geologic, topographic, and aerial maps show the labeled seismic lines, while the regional map shows only the line geometry and regional faulting.
DOI: 10.15121/1493809
title: Snake River Plain Geothermal Play Fairway Analysis Project MT Data

description: MT is measured in the field by using induction coils to measure the time-varying magnetic source for frequencies between 1000-0.001~Hz, and electric dipoles to measure the Earth's electrical response. Because the magnetic source field is polarized, orthogonal directions of the fields need to be measured to get a complete description of the fields. In all measurements collected for this project, induction coils and electric dipoles were aligned with geomagnetic north and east. MT data were collected at 22 stations with a ZEN 32-bit data logger developed by Zonge International, magnetic fields were measured with ANT-4 induction coils, and electric fields where measured with Ag-AgCl reference electrodes from Borin on 50~m dipoles. The data was collected on a repeating schedule of 10~min at 4096~samples/s and 7 hours and 50 minutes at 256 samples/s over a 20-24 hour period. To convert time series data into the frequency domain and get estimations of the impedance tensor, the processing code BIRRP was used (Chave & Thompson 2004). Simultaneous measurements were used as remote references to reduce noise and bias in the data. Chave, A. D., & Thomson, D. J. 2004. Bounded inuence magnetotelluric response function estimation. Geophys. J. Int., 157, 988-1006.
DOI: 10.15121/1493810
title: Elevation Grid for top Columbia River Basalt (CRBG) in the Portland Basin used in DDU Feasibility Study

description: The Portland Basin is a prime location to assess the feasibility of DDU-TES because natural geologic conditions provide thermal and hydraulic separation from overlying aquifers that would otherwise sweep away stored heat. Under the Portland Basin, the lower Columbia River Basalt Group (CRBG) aquifers contain brackish water (1,000-10,000 mg/L TDS), indicating low groundwater flow rates and poor connection with the overlying regional aquifer. Further, CRBG lavas tend to have comparatively low thermal conductivity, indicating that the 400-1,000 ft thick CRBG may be an effective thermal barrier to the overlying aquifer. A temporally and spatially limited previous study of a Portland Basin CRBG aquifer demonstrated that the injection of waste heat resulted in an increase in temperature by more than a factor of two, indicating a high potential for storing heat. This data submission includes ASCII grid surfaces for the Portland and Tualatin Basins including a DEM of modern topography, the top of Columbia River Basalt (CRB), the base of CRB, and basement. It also includes three isochore (thickness) maps between these intervals. In addition, there is an ArcGIS attribute table for associated data points, a map of data types used to constrain the top of CRB, and cross-sections, all made using IHS Kingdom Suite, Petrosys PRO, ESRI ArcGIS, and Adobe Illustrator software.
DOI: 10.15473/1493767
title: Pacific Marine Energy Center benthic physical conditions, macrofauna, and groundfish abundances

description: From 2010 to 2015, box core grabs were collected at permanent stations around the Pacific Marine Energy Center - North Energy Test Site (PMEC-NETS) off Newport, Oregon. At each box core station a conductivity, temperature, depth (CTD) cast was conducted. These data include the CTD from the bottom of the cast, sediment grain size analysis, total organic carbon and nitrogen analysis (for the first 3 years only) and macrofaunal organism abundances as retained on a 1 mm mesh sieve. From 2012 to 2015, additional box core grabs were collected around two of the anchors deployed at PMEC-NETS to assess potential changes to sediment conditions and/or organism abundances. From 2013 to 2015, box core samples also were collected in and around the South Energy Test Site (PMEC-SETS). The CTD, grain size, and organism abundances are included. Additionally from 2010 to 2015 beam trawls were conducted at 9 stations (a subset of the box core stations) around PMEC-NETS and CTD casts were conducted before the start of each trawl. Again the CTD data from the bottom of the cast are included. Organism data are fish densities based on the estimated number of meters covered by the trawl. No trawls were conducted at PMEC-SETS.
DOI: 10.15129/a0737f35-8162-4b7e-a6b8-ac4fba9b61fa
title: Data for: "Steady hydrodynamic interaction between human swimmers"

description: This study focuses on the hydrodynamic interaction between two or three human swimmers in competitive swimming. the main purpose of this study is to find the mechanism of the hydrodynamic interaction between human swimmers and to quantify this interactive effect by using a steady potential flow solver. 
A Rankine source panel method is used to solve the boundary value problem in equations.
Information:
a. All the results are calculated by the programming code by the simulation software MATLAB. Accordingly, all the files output with the txt or dat version. 
b. The curves plots with Excel software.
c. All the wave pattern figure are obtained from the Software Tecplot.
DOI: 10.5517/ccdc.csd.cc20683m
title: CCDC 1853059: Experimental Crystal Structure Determination

description: Related Article: Camden Hunt,  Madeline Peterson,  Cassidy Anderson,  Tieyan Chang,  Guang Wu,  Steve Scheiner,  and Gabriel Ménard|2019|J.Am.Chem.Soc.|141|2604|doi:10.1021/jacs.8b12899
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.cc20lx9v
title: CCDC 1865217: Experimental Crystal Structure Determination

description: Related Article: Zhengao Feng,  Tyler K. Allred,  Evan E. Hurlow,  and Patrick G. Harran|2019|J.Am.Chem.Soc.|141|2274|doi:10.1021/jacs.9b00396
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.cc20lxbw
title: CCDC 1865218: Experimental Crystal Structure Determination

description: Related Article: Zhengao Feng,  Tyler K. Allred,  Evan E. Hurlow,  and Patrick G. Harran|2019|J.Am.Chem.Soc.|141|2274|doi:10.1021/jacs.9b00396
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.cc20lxcx
title: CCDC 1865219: Experimental Crystal Structure Determination

description: Related Article: Zhengao Feng,  Tyler K. Allred,  Evan E. Hurlow,  and Patrick G. Harran|2019|J.Am.Chem.Soc.|141|2274|doi:10.1021/jacs.9b00396
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: 10.5281/zenodo.2559194
title: Strong gene activation in plants with genome-wide specificity using a new orthogonal CRISPR/Cas9-based Programmable Transcriptional Activator.

description: This data set correspond to the supporting data generated in the manuscript:  Strong gene activation in plants with genome-wide specificity using a new orthogonal CRISPR/Cas9-based Programmable Transcriptional Activator.
DOI: 10.5281/zenodo.2559195
title: Strong gene activation in plants with genome-wide specificity using a new orthogonal CRISPR/Cas9-based Programmable Transcriptional Activator.

description: This data set correspond to the supporting data generated in the manuscript:  Strong gene activation in plants with genome-wide specificity using a new orthogonal CRISPR/Cas9-based Programmable Transcriptional Activator.
DOI: 10.5517/ccdc.csd.cc20lxdy
title: CCDC 1865220: Experimental Crystal Structure Determination

description: Related Article: Zhengao Feng,  Tyler K. Allred,  Evan E. Hurlow,  and Patrick G. Harran|2019|J.Am.Chem.Soc.|141|2274|doi:10.1021/jacs.9b00396
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: 10.5281/zenodo.2559182
title: Sample SPCAM dataset

description: Sample SPCAM dataset for xarray/pangeo tests.
DOI: 10.5281/zenodo.2559183
title: Sample SPCAM dataset

description: Sample SPCAM dataset for xarray/pangeo tests.
DOI: 10.5525/gla.researchdata.687
title: Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware

description: This dataset contains 256 raw Bayer images of USAF target and lung carcinoma samples obtained with red, green and blue LEDs. These images were then stitching with the codes provided into a single wide-field, high-resolution colour image using a computational imaging technique called Fourier Ptychography. Codes are provided together with simulation codes for the Raspberry Pi microscope developed by our group.
DOI: 10.21227/3x6d-3v62
title: RGB Images from Wearable Cameras: Applications for Environment Recognition and Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/4v1m-9n82
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/bqrz-ms43
title: RGB Images from Wearable Cameras: Applications for Environment Recognition and Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/gq8k-j644
title: RGB Images from Wearable Cameras: Applications for Environment Recognition and Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.17632/5brkkyx6bx.1
title: Data for: Ferro-manganese nodules and crusts from the Kara Sea: mineralogy, geochemistry and genesis

description: Table captions: Table 1. Description and location of samples analyzed during this study. Table 2. Results of XRD study. Table 3. Bulk chemical composition of studied samples from Kara Sea (XRF data; wt. %). Table 4. Geochemical data for samples from Kara Sea (ICP-MS data; ppm).
DOI: 10.17632/mf6ft5j5wn.1
title: Data for: Determinants of Farmer Afforestation Program Participation: Evidence from China’s Ningxia and Sichuan Provinces

description: That's all data information which has been used in the empirical estimation
DOI: 10.21227/23wg-1y51
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/9ygr-5y92
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/v7zk-jm46
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.5281/zenodo.2546769
title: The Cortical Synaptic Transcriptome is Organized by Clocks, but its Proteome is Driven by Sleep

description: Images, ROIs and databases with the results of Particle analysis from RNA in situ hybridization performed with the RNA scope technology onto CA1 and cortex from mice collected at 6 different times of day .
DOI: 10.5281/zenodo.2546770
title: The Cortical Synaptic Transcriptome is Organized by Clocks, but its Proteome is Driven by Sleep

description: Images, ROIs and databases with the results of Particle analysis from RNA in situ hybridization performed with the RNA scope technology onto CA1 and cortex from mice collected at 6 different times of day .
DOI: 10.15129/261432c4-ad25-47e4-a5fa-a3420e35a76c
title: Remote centre of motion printing experiment data

description: Data, generated during production of paper "Robotic-assisted 3D bio-printing for repairing bone and cartilage defects through a minimally invasive approach",  including 3D scanning images of intact and restored bone (Konica Minolta file 3D scan format, VVD files), processed models of the the bone and defect area (Geomagic Wrap, WRP files), touch probe scanning results (Microsoft Excel, XLSX file),  CAD model of the defect (Autodesk Inventor, IAM, IPT and LCK files), bone milling and 3D printing gcode files (Repetier-Host, GCODE files)
DOI: 10.21227/w37f-yh79
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.21227/xx3y-c205
title: RGB Images from Wearable Cameras: Applications for Autonomous Lower-Limb Biomechatronic Device Control

description: This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics. Toronto, Canada.
DOI: 10.5281/zenodo.2558686
title: Domain shares on Twitter containing news and misinformation

description: This dataset contains a set of domain sharing actions that occurred on Twitter during the month of June 2017. Each domain sharing action can be thought of as a triple <em>(user_id, action_id, domain).</em> The user_id is an anonymized Twitter account ID, and the action_id is an anonymized tweet ID. The tweets from which the dataset was created were collected through Twitter's decahose API. Each user in the dataset was responsible for sharing at least one news article, and at least one article that can be labeled as misinformation. 

The data is distributed in <em>domain-shares.data</em> in the following JSON format:

<pre><code class="language-json">{
    "&lt;user-id&gt;": {
        "&lt;action-id&gt;": ["&lt;domain&gt;", "&lt;domain&gt;", ...],
        ...
    },
    ...
}</code></pre>

For example:

<pre><code class="language-json">{
    "22359b28-93e1-4c13-a3eb-e72357b77c65": {
        "1": ["palmerreport.com"], 
        "2": ["reuters.com", "abcn.ws"], 
        "3": ["mobile.nytimes.com"]
    },
    "ffe79a32-d49d-4780-87b7-bb6417106067": {
        "4": ["dallasnews.com"]
    }
}</code></pre>

In addition, a TAB-separated version with <em>(user id, action id, domain)</em> triples is also available.

For further information on how the dataset was constructed and on analyses that have been conducted on it, please refer to the accompanying Github repository at https://github.com/dimitargnikolov/twitter-bias.