cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29l10z
title: CCDC 2132490: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc29l110
title: CCDC 2132491: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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: 10.34740/kaggle/dsv/5052988
title: Twitter Dataset for Sentiment Analysis
DOI: 10.5066/p92wkr6u
title: Droplet digital PCR data for the detection of Smoky Mountain Madtoms in Great Smoky Mountains National Park

description: Environmental DNA water samples were collected at multiple sites in Great Smoky Mountains National Park in 2016 and 2017 and analyzed with a droplet digital PCR assay to screen for the presence of smoky mountain madtoms. Smoky Mountain madtoms were detected within a section of Abrams Creek, known as the only stream in Great Smoky Mountains National Park that supports this species.
DOI: 10.7912/d2/30
title: The Virtual Bethel Experience

description: Virtual Bethel is a Virtual Reality experience that was made in collaboration with the School of Informatics and Computing (SOIC) of IUPUI with the Bethel African Methodist Episcopal Church in downtown Indianapolis. After Bethel AME was sold due to financial hardship, Rodney Freeman, an SOIC alum and church member, reached out to SOIC to help digitally preserve this historic landmark while allowing for the content to be interactive virtually. Virtual Bethel utilizes Virtual Reality as a mode of historical preservation by building 3D models and experiences in which users can explore the Bethel African Methodist Episcopal church even after its physical reconstruction. This dataset contains the comprehensive, completed Virtual Reality Experience of Virtual Bethel and the 3D modeled elements made from Bethel AME that can be accessed using a computer and HTC Vive Virtual Reality Kit. There are also other assorted photographs, images, video files, and audio files within this dataset. Further information may be found in the Getting Started Guide and readMe.
DOI: 10.5281/zenodo.7679417
title: LightningSim Benchmark Projects

description: This dataset consists of 33 High-Level Synthesis projects for AMD/Xilinx Vitis HLS 2021.1, which were used in the evaluation of LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. These benchmark projects come from several sources: Projects whose names contain “basic_examples_vhls” are derived from Xilinx Vitis HLS Introductory Examples, version 2021.1. Projects whose names contain “pp4fpgas” are derived from the examples from Kastner et al.’s <em>Parallel Programming for FPGAs</em> book. Projects whose names contain “flowgnn” are derived from Sarkar et al.’s “FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.” All projects were modified to ensure that the “setup.tcl” script inside each project directory can be used to setup a Vitis HLS project with name “project” containing a solution with name “solution1” which is able to be synthesized and co-simulated under AMD/Xilinx Vitis HLS 2021.1.
DOI: 10.5281/zenodo.7679416
title: LightningSim Benchmark Projects

description: This dataset consists of 33 High-Level Synthesis projects for AMD/Xilinx Vitis HLS 2021.1, which were used in the evaluation of LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis. These benchmark projects come from several sources: Projects whose names contain “basic_examples_vhls” are derived from Xilinx Vitis HLS Introductory Examples, version 2021.1. Projects whose names contain “pp4fpgas” are derived from the examples from Kastner et al.’s <em>Parallel Programming for FPGAs</em> book. Projects whose names contain “flowgnn” are derived from Sarkar et al.’s “FlowGNN: A Dataflow Architecture for Universal Graph Neural Network Inference via Multi-Queue Streaming.” All projects were modified to ensure that the “setup.tcl” script inside each project directory can be used to setup a Vitis HLS project with name “project” containing a solution with name “solution1” which is able to be synthesized and co-simulated under AMD/Xilinx Vitis HLS 2021.1.
DOI: 10.26195/ecvr-vq16
title: Survey data from psychologists relating to engagement with complementary medicine
DOI: 10.5519/qd.xh8ukfce
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7004611
title: Results of ultrasound measurements of sea-ice cores sampled during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019

description: This dataset details the results of testing sea ice cores collected during the SCALE 2019 Winter Cruise using ultrasound techniques.
DOI: 10.5281/zenodo.7004610
title: Results of ultrasound measurements of sea-ice cores sampled during the Southern oCean seAsonal Experiment (SCALE) winter cruise in 2019

description: This dataset details the results of testing sea ice cores collected during the SCALE 2019 Winter Cruise using ultrasound techniques.
DOI: 10.5281/zenodo.6966957
title: Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019

description: This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based.
DOI: 10.5281/zenodo.6966958
title: Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019

description: This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based.
DOI: 10.5281/zenodo.6977588
title: Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Winter 2019

description: This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Winter 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based.
DOI: 10.5281/zenodo.7222725
title: Sex-specific summary statistics

description: Provided are summary statistics for 27 traits using UK Biobank genotype and phenotype data. plink2.00 alpha is used to generate the summary statistics.
DOI: 10.5281/zenodo.7222724
title: Sex-specific summary statistics

description: Provided are summary statistics for 27 traits using UK Biobank genotype and phenotype data. plink2.00 alpha is used to generate the summary statistics.
DOI: 10.5281/zenodo.7779426
title: satmut_utils simulated datasets

description: Simulated datasets were generated with satmut_utils v1.0.1-dev001. Datasets contain between hundreds to thousands of simulated variants in real CBS alignments.
description: A script for automating the generation of new simulated datasets is provided in the satmut_utils development package (run_ec_data_generatory.py).
DOI: 10.18739/a2dz0333k
title: Acoustic Zooplankton Fish Profiler Echometric Data from a 38kHz transducer moored on the Beaufort Sea Shelf from 2017-2018

description: The goal of this study is to reveal the temporal variation of biological backscatter in a region of the Beaufort Shelf known for intense upwelling. Acoustic Zooplankton Fish Profilers (AZFPs, ASL Environmental Sciences Inc.) were deployed on moorings for two years. The AZFP was equipped with 38, 120, 200, and 455 kilohertz (kHz) frequencies. The first deployment took place from Aug. 29, 2017 – Aug. 10, 2018 at the 80 m isobath in the mid-Beaufort Sea shelf. The instrument was moored 7.8 meters (m) off the bottom and collected data using 90 pings with a 20 second ping interval every 20 minutes for the deployment period. The second deployment took place from Aug. 24, 2018 – Aug. 20, 2019 at the 115 m isobath on the Beaufort Shelf just east of the mouth of Barrow Canyon. The instrument was moored 7.8 m off the bottom and collected data in two different configurations over the year designed to optimize battery life (5-minute burst interval with 30 pings per burst and a 2 second ping interval from August to the end of November and from June until recovery and 20-minute burst interval with 30 pings per burst and a 2 second ping interval from December through May). Only the 38 and 455 kHz transducers operated throughout the 2-year deployment period. The 200 kHz transducer failed in January 2018 and the 125 kHz transducer failed in August 2018, making frequency differencing to differentiate taxa difficult/impossible for much of the record. Statistical measures of acoustic backscatter, known as Echometrics, as defined in Urmy et al. 2012 were calculated using the Echoview version 12.1 software for 38 kHz data over the entire AZFP time series between August 2017 and August 2019. Acoustic data were be adjusted for sound speed and absorption using temperature and salinity measurements from a Seabird CTD (Conductivity, Temperature, and Depth) moored nearby.
DOI: 10.5517/ccdc.csd.cc29l121
title: CCDC 2132492: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc2f3tzc
title: CCDC 2238013: Experimental Crystal Structure Determination

description: Related Article: Roman O. Pankov, Darya O. Prima, Alexander Yu. Kostyukovich, Mikhail E. Minyaev, Valentine P. Ananikov|2023|Dalton Trans.|52|4122|doi:10.1039/D2DT03665G
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.cc2c2st2
title: CCDC 2177434: Experimental Crystal Structure Determination

description: Related Article: Nida Shahid, Rahul Kumar Singh, Navdeep Srivastava, Amrendra K. Singh|2023|Dalton Trans.|52|4176|doi:10.1039/D3DT00243H
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.cc2c2sv3
title: CCDC 2177435: Experimental Crystal Structure Determination

description: Related Article: Nida Shahid, Rahul Kumar Singh, Navdeep Srivastava, Amrendra K. Singh|2023|Dalton Trans.|52|4176|doi:10.1039/D3DT00243H
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.cc2c2sw4
title: CCDC 2177436: Experimental Crystal Structure Determination

description: Related Article: Nida Shahid, Rahul Kumar Singh, Navdeep Srivastava, Amrendra K. Singh|2023|Dalton Trans.|52|4176|doi:10.1039/D3DT00243H
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.cc2dpx67
title: CCDC 2225589: Experimental Crystal Structure Determination

description: Related Article: Trishna Rajbongshi, Kashyap Kumar Sarmah, Susobhan Das, Poonam Deka, Arijit Saha, Binoy K. Saha, Horst Puschmann, C. Malla Reddy, Ranjit Thakuria|2023|Chem.Commun.|59|3902|doi:10.1039/D2CC06860E
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.cc2dpx78
title: CCDC 2225590: Experimental Crystal Structure Determination

description: Related Article: Trishna Rajbongshi, Kashyap Kumar Sarmah, Susobhan Das, Poonam Deka, Arijit Saha, Binoy K. Saha, Horst Puschmann, C. Malla Reddy, Ranjit Thakuria|2023|Chem.Commun.|59|3902|doi:10.1039/D2CC06860E
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.7441232
title: Time and momentum resolved characterization of hybrid plasmonic heterostructure Au/WSe2

description: Dataset attached to paper titled "Observation of Multi-Directional Energy Transfer in a Hybrid Plasmonic-Excitonic Nanostructure" with time and momentum characterization of a 2D palsmonic heterostructure formed by Au nanoislands on bulk WSe2. It contains Angle-resolved photoemission spectroscopy (ARPES) and time-resolved ARPES data (trARPES.zip); femtosecond electron diffraction (FED) data (FED.zip); optical absorption spectroscopy data (Optical_absorbance.zip) and Transmission electron microscopy micrographs (TEM.zip). For <strong>trARPES.zip</strong>, the following table reports the grid of measurements and most important parameters: <strong>Name</strong> <strong>Sample temperature (K)</strong> <strong>Pump Wavelength (nm)</strong> <strong>Pump Duration (fs)</strong> <strong>Material</strong> trARPES_Metis_002.mpes.nxs 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2124.mpes.nxs 300 800 35 WSe<sub>2</sub> trARPES_Phoibos_Scan2146.mpes.nxs 70 800 35 WSe<sub>2</sub> trARPES_Phoibos_Scan2197.mpes.nxs* 70 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2198.mpes.nxs* 70 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2212.mpes.nxs* 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2219.mpes.nxs* 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3159.mpes.nxs 300 1030 200 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3164.mpes.nxs** 300 1030 200 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3185.mpes.nxs 300 1030 200 WSe<sub>2</sub> *These scans are acquired with higher angular dispersion requiring separate scans for K and Sigma valleys. **Fluence scan. <strong>FED.zip</strong> contains the following subfolders: <em>Manuscript_Figure</em>: Experimental data and fit parameters depicted in Figure 4 of the main article. <em>Analysis</em>: Additional information for the FED data including: raw data descriptions (delay, power, filename and more), Matlab scripts with comments, masks and backgrounds for image processing. The <em>Static_patterns</em> subfolder contains electron diffraction patterns of pure WSe<sub>2</sub> flakes and Au-covered WSe<sub>2</sub> flakes. <strong>Optical_absorbance.zip</strong> contains the following subfolders & subfiles: <em>without Au</em> & <em>with Au</em> containing all the optical measurements of pristine and Au-covered WSe<sub>2</sub> flakes, respectively. <em>comparison_with_and_without_Au.xlsx</em> contains the analysis of the difference curves <em>manuscript_figure.txt </em>contains the data that were used in Figure 1 of the main article.
DOI: 10.5281/zenodo.7441231
title: Time and momentum resolved characterization of hybrid plasmonic heterostructure Au/WSe2

description: Dataset attached to paper titled "Observation of Multi-Directional Energy Transfer in a Hybrid Plasmonic-Excitonic Nanostructure" with time and momentum characterization of a 2D palsmonic heterostructure formed by Au nanoislands on bulk WSe2. It contains Angle-resolved photoemission spectroscopy (ARPES) and time-resolved ARPES data (trARPES.zip); femtosecond electron diffraction (FED) data (FED.zip); optical absorption spectroscopy data (Optical_absorbance.zip) and Transmission electron microscopy micrographs (TEM.zip). For <strong>trARPES.zip</strong>, the following table reports the grid of measurements and most important parameters: <strong>Name</strong> <strong>Sample temperature (K)</strong> <strong>Pump Wavelength (nm)</strong> <strong>Pump Duration (fs)</strong> <strong>Material</strong> trARPES_Metis_002.mpes.nxs 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2124.mpes.nxs 300 800 35 WSe<sub>2</sub> trARPES_Phoibos_Scan2146.mpes.nxs 70 800 35 WSe<sub>2</sub> trARPES_Phoibos_Scan2197.mpes.nxs* 70 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2198.mpes.nxs* 70 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2212.mpes.nxs* 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan2219.mpes.nxs* 300 800 35 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3159.mpes.nxs 300 1030 200 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3164.mpes.nxs** 300 1030 200 Au/WSe<sub>2</sub> trARPES_Phoibos_Scan3185.mpes.nxs 300 1030 200 WSe<sub>2</sub> *These scans are acquired with higher angular dispersion requiring separate scans for K and Sigma valleys. **Fluence scan. <strong>FED.zip</strong> contains the following subfolders: <em>Manuscript_Figure</em>: Experimental data and fit parameters depicted in Figure 4 of the main article. <em>Analysis</em>: Additional information for the FED data including: raw data descriptions (delay, power, filename and more), Matlab scripts with comments, masks and backgrounds for image processing. The <em>Static_patterns</em> subfolder contains electron diffraction patterns of pure WSe<sub>2</sub> flakes and Au-covered WSe<sub>2</sub> flakes. <strong>Optical_absorbance.zip</strong> contains the following subfolders & subfiles: <em>without Au</em> & <em>with Au</em> containing all the optical measurements of pristine and Au-covered WSe<sub>2</sub> flakes, respectively. <em>comparison_with_and_without_Au.xlsx</em> contains the analysis of the difference curves <em>manuscript_figure.txt </em>contains the data that were used in Figure 1 of the main article.
DOI: 10.18739/a2959c89k
title: Daily soil temperature profiles, the Alaska Geophysical Network, 2016-2022

description: This dataset includes soil temperature profiles from 10 sites associated with the Alaska Earthquake Center’s Alaska Geophysical Network. Since late 2020, over 100 stations— a legacy of the USArray Transportable Array —have been incorporated into the Alaska Geophysical Network. A subset of these stations included soil temperature profiles measuring from the soil surface to up to 1.5 meters (m) in depth. This data compliments co-located meteorological data, allowing for better insights and characterization of permafrost conditions across Alaska. Temperature measurements are provided for each site in .csv format. We acknowledge the Alaska Native nations upon whose land our study area resides and observe the stewardship of the traditional inhabitants of the region.
DOI: 10.18739/a25h7bv97
title: Fish and krill schools and regions detected from acoustic backscatter along the slope of the Central Beaufort Shelf, Aug-Sept. 2017

description: The goal of this study is to reveal the spatial variation of biological backscatter and the distributions of fish (assumed Arctic cod) and zooplankton (assumed euphausiids/krill or large copepods) in a region of the Beaufort Shelf known for intense upwelling. Data were collected during two cruises to the Central Beaufort Sea Shelf in 2017 (Aug. 25 – Sept. 19) and in 2018 (Aug. 3 – 27) using the Simrad EK80 bioacoustics sonar suite located on the centerboard of the Research Vessel (R/V) Sikuliaq. Fish (assumed Arctic cod or Boreogadus saida) schools and regions (portions of the water column with contiguous presence of fish) were identified using the 38 kHz data while krill (euphausiid) schools and regions were identified using the 120 kHz data. All processing and analyses were conducted in Echoview. This dataset contains the 2017 data.
DOI: 10.25901/vcvd-v393
title: Wallaby Creek Flux Data Release 2022_v2
DOI: 10.18739/a21r6n25h
title: The Onset of Recrystallization in Polar Firn, Summit, Greenland, 2022

description: Constraining the onset of dynamic recrystallization and its effects on the mechanical properties of firn is crucial for modeling the firn densification process. To that end, experiments have been conducted on firn samples from 13 meter (m) depth in a Greenland firn core. Changes in the microstructural parameters were examined using a combination of polarized optical examination of thin sections and micro-computed tomography (micro-CT) of bulk samples. The mean grain diameter decreases rapidly at the early stage of deformation and levels off as the strain levels increase, while the grain area distribution indicates an increase in the frequency of smaller grains as the strain increases. Analyses of micro-CT reconstructions show an increase in density, due to a decrease in porosity and specific surface area. The results show that dynamic recrystallization occurs in firn under creep, with its onset occurring at a strain of ~12%. The recrystallization leads to both a reduction in grain size and a change in the fabric, indicating that recrystallization occurs by nucleation and growth.