cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/139989
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2014 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139990
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2014 using a Furuno GP-170 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139992
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2014 using a Trimble ABX-Two instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139987
title: Gyrocompass data collected during research cruise SP2014 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139986
title: Meteorological Station data collected during research cruise SP2014 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139991
title: Singlebeam Echosounder data collected during research cruise SP2014 using a Knudsen 3260 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/139985
title: Winch data collected during research cruise SP2014 using a Markey DESH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143641
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2103 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143642
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2103 using a Furuno GP-170 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143644
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2103 using a Trimble ABX-Two instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143640
title: Gyrocompass data collected during research cruise SP2103 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143639
title: Meteorological Station data collected during research cruise SP2103 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143643
title: Singlebeam Echosounder data collected during research cruise SP2103 using a Knudsen 3260 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143612
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2104 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143613
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2104 using a Furuno GP-170 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143615
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2104 using a Trimble ABX-Two instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143611
title: Gyrocompass data collected during research cruise SP2104 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143610
title: Meteorological Station data collected during research cruise SP2104 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143614
title: Singlebeam Echosounder data collected during research cruise SP2104 using a Knudsen 3260 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143609
title: Winch data collected during research cruise SP2104 using a Markey DESH-3 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143690
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2110 using a Furuno GP-150 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143691
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2110 using a Furuno GP-170 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143692
title: GNSS (Global Navigation Satellite System) data collected during research cruise SP2110 using a Trimble ABX-Two instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143689
title: Gyrocompass data collected during research cruise SP2110 using a Furuno Furuno SC-30 instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/143688
title: Meteorological Station data collected during research cruise SP2110 using a SIO MET-System instrument system onboard the platform RV Robert Gordon Sproul

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6143687
title: Dataset of the research article "A semi-automated analysis of displacement-to-length scaling of the grabens affecting lunar Floor-Fractured craters"

description: This dataset includes all the raster data (DEM, orthoimage, slope) and vectors (shapefiles) used in our research, investigating the relationships between displacement and length of the faults affecting Lunar Floor-Fractured craters.
DOI: 10.5281/zenodo.6104823
title: Automated galaxy-galaxy strong lens modelling: no lens left behind

description: This dataset comprises lens model-fits to 59 strong lenses from the SLACS and BELLS-GALLERY samples, contained in the paper <strong>"Automated galaxy-galaxy strong lens modelling: no lens left behind"</strong> by<strong> Etherington et al.</strong>. For every model-fit of every strong lens this dataset includes: - A `model.info` file with the priors and values of every parameter.<br> - A `model.results` file with the parameter estimates and errors.<br> - An `image` folder containing .png files showing different aspects of the overall fit. Due to file size limitations, we do not include the full dynesty nested sampling chains and do not include fits to the simulated mock data discussed in the paper. Reproducing figures in the paper also requires interfacing with the <strong>PyAutoLens</strong> database feature. Due to changes in version number and backwards compatibility issues with results, we have opted not to include these scripts in this release. We'll aim to do better in the future! Please feel free to contact me (james.w.nightingale@durham.ac.uk) for any missing data or help with reproducing visuals.
DOI: 10.5281/zenodo.6104822
title: Automated galaxy-galaxy strong lens modelling: no lens left behind

description: This dataset comprises lens model-fits to 59 strong lenses from the SLACS and BELLS-GALLERY samples, contained in the paper <strong>"Automated galaxy-galaxy strong lens modelling: no lens left behind"</strong> by<strong> Etherington et al.</strong>. For every model-fit of every strong lens this dataset includes: - A `model.info` file with the priors and values of every parameter.<br> - A `model.results` file with the parameter estimates and errors.<br> - An `image` folder containing .png files showing different aspects of the overall fit. Due to file size limitations, we do not include the full dynesty nested sampling chains and do not include fits to the simulated mock data discussed in the paper. Reproducing figures in the paper also requires interfacing with the <strong>PyAutoLens</strong> database feature. Due to changes in version number and backwards compatibility issues with results, we have opted not to include these scripts in this release. We'll aim to do better in the future! Please feel free to contact me (james.w.nightingale@durham.ac.uk) for any missing data or help with reproducing visuals.
DOI: 10.5281/zenodo.6113403
title: Consistent Bondi SPH for frontiers 2022

description: Data to be combined with the notebook scripts: https://github.com/josemramirez/poly_frontiers2022, to reproduce all the results of the paper. 4 sets for 4 different values of gamma = G1 = 1; G1_1 = 1.1; G3_2 = 1.5; G5_3 = 1.66. (1) Unzip in the same directory of the scripts.
DOI: 10.5281/zenodo.6045394
title: Dataset for Bate (2022): Dust coagulation during the early stages of star formation: molecular cloud collapse and first hydrostatic core evolution

description: This data set contains 6 smoothed particle hydrodynamics (SPH) dump files that were used to produce some of the figures in the journal paper: Bate, Matthew. R., 2022, Monthly Notices of the Royal Astronomical Society, submitted Feb 2022 Each of the SPH dump files is from a different calculation of the early stages of star formation: the gravitational collapse of a molecular cloud core, including dust coagulation. Each SPH dump file gives the state of the SPH calculation when the maximum temperature reached 1500 K. The calculations were each performed using 3 million SPH particles and differed by their initial rotation rate, which was parameterised by beta=0, 0.0025, 0.005, 0.01, 0.02, and 0.05 (the magnitude of the ratio of the rotational and gravitational potential energies). The dump files associated with each calculation are: beta=0: B1M0123<br> beta=0.0025: B1M2123<br> beta=0.005: B1M5123<br> beta=0.01: B1M1128<br> beta=0.02: B1M2126<br> beta=0.05: B1M5129 The SPH dump files are Fortran binary files written in big endian format and generated by the sphNG code (Benz 1990; Bate 1995; Bate & Keto 2015). They can be read, visualised, and manipulated using the free, publicly available SPLASH visualisation code (which reads sphNG dump files), written by Daniel J. Price, that can be downloaded from: http://users.monash.edu.au/~dprice/splash/ The SPLASH configuration files used to produce Figs. 9,10,11,and B1 in Bate (2022) are included with this dataset in a gzipped tar file.
DOI: 10.5281/zenodo.5963324
title: Spectro-photometric distances and self-calibrated abundances for Apogee DR16 RGB stars within the Milky Way disk

description: The data file contains 48,853 RGB stars from Apogee DR16 within the Milky Way disk, for which we determine spectro-photometric parallax estimates (as described in Hogg et al. 2019, AJ, 158, 147), as well as self-calibrated stellar element abundances. The data set is described in detail and analyzed in Eilers et al. 2022 (arXiv: 2112.03295).
description: {"references": ["https://ui.adsabs.harvard.edu/abs/2021arXiv211203295E/abstract"]}
DOI: 10.5281/zenodo.5963323
title: Spectro-photometric distances and self-calibrated abundances for Apogee DR16 RGB stars within the Milky Way disk

description: The data file contains 48,853 RGB stars from Apogee DR16 within the Milky Way disk, for which we determine spectro-photometric parallax estimates (as described in Hogg et al. 2019, AJ, 158, 147), as well as self-calibrated stellar element abundances. The data set is described in detail and analyzed in Eilers et al. 2022 (arXiv: 2112.03295).
description: {"references": ["https://ui.adsabs.harvard.edu/abs/2021arXiv211203295E/abstract"]}
DOI: 10.5523/bris.2qvdv9sor9qwk25j6ewyq6eexd
title: Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data

description: Data associated with paper published in IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control entitled "Domain Adapted Deep-Learning for Improved Ultrasonic Crack Characterization Using Limited Experimental Data"
DOI: 10.5281/zenodo.5727583
title: Data for Figure 1 of Taubenberger 2017, "The Extremes of Thermonuclear Supernovae"

description: Data needed to recreate Figure 1 of Taubenberger S., "The Extremes of Thermonuclear Supernovae", in A. W. Alsabti, P. Murdin, eds., “Handbook of Supernovae”, Springer, ISBN: 978-3-319-20794-0 (2017). A detailed README is included.
DOI: 10.5281/zenodo.5727582
title: Data for Figure 1 of Taubenberger 2017, "The Extremes of Thermonuclear Supernovae"

description: Data needed to recreate Figure 1 of Taubenberger S., "The Extremes of Thermonuclear Supernovae", in A. W. Alsabti, P. Murdin, eds., “Handbook of Supernovae”, Springer, ISBN: 978-3-319-20794-0 (2017). A detailed README is included.
DOI: 10.5281/zenodo.5542337
title: Observations of Earth Quasi-Satellite (469219) Kamo`oalewa

description: Companion dataset to Sharkey et al. (2021).
DOI: 10.5281/zenodo.5542336
title: Observations of Earth Quasi-Satellite (469219) Kamo`oalewa

description: Companion dataset to Sharkey et al. (2021).
DOI: 10.18739/a2mp4vp4d
title: Shelfbreak Upwelling in the Western Beaufort Sea, Zooplankton Morphometrics data for August-September 2017

description: Atmospherically-forced wind-induced upwelling along the shelf break leads to enhanced feeding opportunities for intermediate links in the pelagic ecosystem that in turn sustain the exploitation of this environment by animals such as beluga, seabirds, and seals. The Beaufort Sea shelf break is a hotspot for upper trophic level animals because elevated numbers and biomass of large, high-energy zooplankton (e.g., lipid-rich copepods, euphausiids) are regularly upwelled from deeper water onto the shelf during winds from the east, retained there by frontal features when upwelling relaxes, and exploited by bowhead whales, seabirds, and forage fish that in turn are prey for piscivorous marine mammals, such as beluga whales. The zooplankton morphometric measurements were determined for dominant copepods and euphausiids collected with various nets. Data were acquired as part of the National Science Foundation (NSF)-funded project "The Importance of Shelf Break Upwelling to Upper Trophic Level Ecology in the Western Beaufort Sea". Net samples were collected within the box 165 West (W) - 145 W, 69 North (N) - 72N between 30 August and 15 September 2017. PIs: Carin Ashjian (WHOI), Robert Campbell (URI), Michael Jech (NOAA), Joel Llopiz (WHOI), Michael Lowe (WHOI), Stephen Okkonen (UAF), Kathleen Stafford (APL-UW), Jinlun Zhang (APL-UW)
DOI: 10.6084/m9.figshare.14668176
title: Sawyer Mill Dam Removal Drone DSM Elevation vs. Conventional Survey Terrain Analysis for Reservoir Response Paper (2019 & 2020)

description: These are the calculations used for examining elevation differences between the drone DSMs and conventional survey elevations across terrain types in the Evans et al. Sawyer Mill dam removal reservoir response manuscript. The “Extract Values to Points” tool in ArcGIS Pro extracted the DSM raster values at the XY locations of the surveyed points. Using the surveyed elevations and extracted DSM values across the available areas and flight dates, trends in the drone DSMs’ Z-direction accuracy were examined across different terrain categories: vegetation, dry terrain (e.g. exposed ground or wood), and submerged terrain (e.g. substrate). Elevation values correspond to NAVD88 in meters. The DSMs' and surveyed points' XY were in WGS 84 when used in the “Extract Values to Points” tool. The "Terrain" columns designate the final terrain type categories used in the terrain analysis presented in the manuscript, while the "Terrain/Notes from Field" columns contain transcribed notes from survey field notebooks that were written in the field. Vegetation heights were also from survey field notebooks. Please see the manuscript and spreadsheet for additional information. <br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.<br>
DOI: 10.6084/m9.figshare.14668176.v2
title: Sawyer Mill Dam Removal Drone DSM Elevation vs. Conventional Survey Terrain Analysis for Reservoir Response Paper (2019 & 2020)

description: These are the calculations used for examining elevation differences between the drone DSMs and conventional survey elevations across terrain types in the Evans et al. Sawyer Mill dam removal reservoir response manuscript. The “Extract Values to Points” tool in ArcGIS Pro extracted the DSM raster values at the XY locations of the surveyed points. Using the surveyed elevations and extracted DSM values across the available areas and flight dates, trends in the drone DSMs’ Z-direction accuracy were examined across different terrain categories: vegetation, dry terrain (e.g. exposed ground or wood), and submerged terrain (e.g. substrate). Elevation values correspond to NAVD88 in meters. The DSMs' and surveyed points' XY were in WGS 84 when used in the “Extract Values to Points” tool. The "Terrain" columns designate the final terrain type categories used in the terrain analysis presented in the manuscript, while the "Terrain/Notes from Field" columns contain transcribed notes from survey field notebooks that were written in the field. Vegetation heights were also from survey field notebooks. Please see the manuscript and spreadsheet for additional information. <br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.<br>
DOI: 10.6084/m9.figshare.14668176.v1
title: Sawyer Mill Dam Removal Drone DSM Elevation vs. Conventional Survey Terrain Analysis for Reservoir Response Paper (2019 & 2020)

description: These are the calculations used for examining elevation differences between the drone DSMs and conventional survey elevations across terrain types in the Evans et al. Sawyer Mill dam removal reservoir response manuscript. The “Extract Values to Points” tool in ArcGIS Pro extracted the DSM raster values at the XY locations of the surveyed points. Using the surveyed elevations and extracted DSM values across the available areas and flight dates, trends in the drone DSMs’ Z-direction accuracy were examined across different terrain categories: vegetation, dry terrain (e.g. exposed ground or wood), and submerged terrain (e.g. substrate). Elevation values correspond to NAVD88 in meters. The DSMs' and surveyed points' XY were in WGS 84 when used in the “Extract Values to Points” tool. The "Terrain" columns designate the final terrain type categories used in the terrain analysis presented in the manuscript, while the "Terrain/Notes from Field" columns contain transcribed notes from survey field notebooks that were written in the field. Vegetation heights were also from survey field notebooks. Please see the manuscript and spreadsheet for additional information. <br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.<br>
DOI: 10.18739/a2gx44w14
title: Shelfbreak Upwelling in the Western Beaufort Sea, Zooplankton Morphometrics data for August-September 2018

description: Atmospherically-forced wind-induced upwelling along the shelf break leads to enhanced feeding opportunities for intermediate links in the pelagic ecosystem that in turn sustain the exploitation of this environment by animals such as beluga, seabirds, and seals. The Beaufort Sea shelf break is a hotspot for upper trophic level animals because elevated numbers and biomass of large, high-energy zooplankton (e.g., lipid-rich copepods, euphausiids) are regularly upwelled from deeper water onto the shelf during winds from the east, retained there by frontal features when upwelling relaxes, and exploited by bowhead whales, seabirds, and forage fish that in turn are prey for piscivorous marine mammals, such as beluga whales. The zooplankton morphometric measurements were determined for dominant copepods and euphausiids collected with a MOCNESS (Multiple Opening/Closing Net and Environmental Sensing System). Data were acquired as part of the National Science Foundation (NSF)-funded project "The Importance of Shelf Break Upwelling to Upper Trophic Level Ecology in the Western Beaufort Sea". Net samples were collected within the box 165 West (W) - 145 W, 69 North (N) - 72N between 6 August and 24 August 2018. PIs: Carin Ashjian (WHOI), Robert Campbell (URI), Michael Jech (NOAA), Joel Llopiz (WHOI), Michael Lowe (WHOI), Stephen Okkonen (UAF), Kathleen Stafford (APL-UW), Jinlun Zhang (APL-UW)