cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7250453
title: Steel Strength Data

description: 312 steels with experimental yield strength and ultimate tensile strength, extracted and cleaned (including de-duplicating) from Citrine. See reference 1.<br><br>Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.<br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.
DOI: 10.7284/132168
title: Meteorological Station data collected during research cruise SKQ201813S using a Vaisala WXT520 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132181
title: Multibeam Echosounder data collected during research cruise SKQ201813S using a Kongsberg EM302 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250429
title: Heusler Magnetic Data

description: 1153 Heusler alloys with DFT-calculated magnetic and electronic properties. The 1153 alloys include 576 full, 449 half and 128 inverse Heusler alloys. The data are extracted and cleaned (including de-duplicating) from Citrine. See reference 1 below.<br><br>Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.<br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>
DOI: 10.6084/m9.figshare.7250417
title: Wolverton Oxides Data

description: 4,914 perovskite oxides containing composition data, lattice constants, and formation + vacancy formation energies. All perovskites are of the form ABO3. Adapted from a dataset presented by Emery and Wolverton.<br>Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.<br>Note on citations: If you found this dataset useful and would like to cite it in your work, please be sure to cite its original sources below rather than or in addition to this page.<br>Dataset described in:<br>Emery, A. A. & Wolverton, C. High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO<sub>3</sub> perovskites. <i>Sci. Data</i> 4:170153 doi: 10.1038/sdata.2017.153 (2017).<br>Data sourced from:<br>Emery, A. A., & Wolverton, C. <i> Figshare</i> http://dx.doi.org/10.6084/m9.figshare.5334142 (2017)
DOI: 10.7284/132182
title: Multibeam Echosounder data collected during research cruise SKQ201813S using a Kongsberg EM302 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132169
title: Radiometer data collected during research cruise SKQ201813S using a RMR Co. PRP instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132170
title: Radiometer data collected during research cruise SKQ201813S using a Biospherical QSR-2150 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132163
title: Rain Gauge data collected during research cruise SKQ201813S using a RM Young 50202 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132171
title: Singlebeam Echosounder data collected during research cruise SKQ201813S using a Kongsberg TOPAS PS-18 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132172
title: Singlebeam Echosounder data collected during research cruise SKQ201813S using a L-3 ELAC LAZ 5100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132179
title: Splitbeam Echosounder data collected during research cruise SKQ201813S using a Kongsberg EK60 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132173
title: SSV (Sound Speed Velocimeter) data collected during research cruise SKQ201813S using a AML SV Xchange instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132177
title: Water Temperature data collected during research cruise SKQ201813S using a HEITRONICS CT15.10 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/132183
title: Water Temperature data collected during research cruise SKQ201813S using a Sea-Bird SBE-38 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130508
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SKQ201815T using a Hawaii UHDAS instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130505
title: Anemometer data collected during research cruise SKQ201815T using a Gill WindObserver 75 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130506
title: Anemometer data collected during research cruise SKQ201815T using a Gill WindObserver 75 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.6084/m9.figshare.7250357
title: The first specimen of <i>Archaeopteryx</i> from the Upper Jurassic Mörnsheim Formation of Germany

description: From an initial isolated position as the oldest evolutionary prototype of a bird, <i>Archaeopteryx</i> has, as a result of recent fossil discoveries, become embedded in a rich phylogenetic context of both more and less crownward stem-group birds. This has prompted debate over whether <i>Archaeopteryx</i> is simply a convergently bird-like non-avialan theropod. Here we show, using the first synchrotron microtomographic examination of the genus, that the eighth or Daiting specimen of <i>Archaeopteryx</i> possesses a character suite that robustly constrains it as a basal avialan (primitive bird). The specimen, which comes from the Mörnsheim Formation and is thus younger than the other specimens from the underlying Solnhofen Formation, is distinctive enough to merit designation as a new species, <i>Archaeopteryx albersdoerferi</i> sp. nov., but is recovered in close phylogenetic proximity to <i>Archaeopteryx lithographica</i>. Skeletal innovations of the Daiting specimen, such as fusion and pneumatization of the cranial bones, well vascularized pectoral girdle and wing elements, and a reinforced configuration of carpals and metacarpals, suggest that it may have had more characters seen in flying birds than the older <i>Archaeopteryx lithographica</i>. These innovations appear to be convergent on those of more crownward avialans, suggesting that Bavarian archaeopterygids independently acquired increasingly bird-like traits over time. Such mosaic evolution and iterative exploration of adaptive space may be typical for major functional transitions like the origin of flight.
DOI: 10.7284/130493
title: Flowmeter data collected during research cruise SKQ201815T using a Omega FP-2541 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130494
title: Flowmeter data collected during research cruise SKQ201815T using a Krohne Optiflux 5000 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23641/asha.7250282
title: Comm. impairments & social relationships of OAs (Palmer et al., 2018)

description: <b>Purpose: </b>Social contact is known to be vital for older adults’ mental and physical health but, because communication impairments often co-occur with other types of disability, it is difficult to generalize about the relative impact of a communication impairment on the social relationships of older adults. Specific aims of the study were to examine whether the severity of a communication impairment was associated with a range of social measures and to examine the association between these characteristics and psychological well-being.<b>Method: </b>Community-dwelling older adults ranging in age from 65 to 94 were recruited for the study of Communication, Health, Aging, Relationship Types and Support. The sample included 240 participants with communication disorders arising from a variety of etiologies including hearing impairment, voice disorders, head and neck cancer, and neurologic disease, as well as older adults without a communication disorder.<b>Results: </b>Communication impairment was a significant independent predictor for key characteristics of social relationships, including the number of friends in the social network, two types of social support, the frequency of social participation, and social self-efficacy. Communication impairment was also a significant predictor for higher levels of loneliness and depression. In addition, two distinct pathways between communication impairment and psychological well-being were identified, with social self-efficacy and reassurance of worth as mediators.<b>Conclusions:</b> Even after controlling for age, gender, health, and disability, communication impairment is a significant independent predictor for key aspects of the social function of older adults and demonstrates two distinct pathways to loneliness and depression.<br><b>Supplemental Appendix S1.</b> Study survey. <br><b>Supplemental Table S1.</b> International Classification of Diseases, Ninth Revision (ICD-9) codes used to identify potential study participants.<br><br><b>Supplemental Table S2.</b> Multiple regressions for all social and psychological variables.<br>Palmer, A. D., Carder, P. C., White, D. L., Saunders, G., Woo, H., Graville, D. J., & Newsom, J. T. (2018). The impact of communication impairments on the social relationships of older adults: Pathways to psychological well-being. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2018_JSLHR-S-17-0495
DOI: 10.7284/130496
title: Fluorometer data collected during research cruise SKQ201815T using a Turner Cyclops-7 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23641/asha.7250282.v1
title: Comm. impairments & social relationships of OAs (Palmer et al., 2018)

description: <b>Purpose: </b>Social contact is known to be vital for older adults’ mental and physical health but, because communication impairments often co-occur with other types of disability, it is difficult to generalize about the relative impact of a communication impairment on the social relationships of older adults. Specific aims of the study were to examine whether the severity of a communication impairment was associated with a range of social measures and to examine the association between these characteristics and psychological well-being.<b>Method: </b>Community-dwelling older adults ranging in age from 65 to 94 were recruited for the study of Communication, Health, Aging, Relationship Types and Support. The sample included 240 participants with communication disorders arising from a variety of etiologies including hearing impairment, voice disorders, head and neck cancer, and neurologic disease, as well as older adults without a communication disorder.<b>Results: </b>Communication impairment was a significant independent predictor for key characteristics of social relationships, including the number of friends in the social network, two types of social support, the frequency of social participation, and social self-efficacy. Communication impairment was also a significant predictor for higher levels of loneliness and depression. In addition, two distinct pathways between communication impairment and psychological well-being were identified, with social self-efficacy and reassurance of worth as mediators.<b>Conclusions:</b> Even after controlling for age, gender, health, and disability, communication impairment is a significant independent predictor for key aspects of the social function of older adults and demonstrates two distinct pathways to loneliness and depression.<br><b>Supplemental Appendix S1.</b> Study survey. <br><b>Supplemental Table S1.</b> International Classification of Diseases, Ninth Revision (ICD-9) codes used to identify potential study participants.<br><br><b>Supplemental Table S2.</b> Multiple regressions for all social and psychological variables.<br>Palmer, A. D., Carder, P. C., White, D. L., Saunders, G., Woo, H., Graville, D. J., & Newsom, J. T. (2018). The impact of communication impairments on the social relationships of older adults: Pathways to psychological well-being. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2018_JSLHR-S-17-0495
DOI: 10.6084/m9.figshare.7250234
title: Regional dose/volume metrics in salivary glands and oral cavity for head and neck cancer (HNC) patients with xerostomia

description: This analytic dataset consists of a single <b>.csv</b> data file holding, for 258 head and neck cancer (HNC) patients, dosiometric features in volume increments derived from a radio-morphologic feature generation pipeline. The features are based on derived subvolumes of the salivary glands. Patient demographic details are also included.<br>The related study seeks to further understanding of xerostomia (dry mouth) in patients undergoing radiation therapy (RT), specifically the regional dosimetry of normal structures involved in xerostomia. The investigation considers dose-volume histogram (DVH) regional dose/volume metrics patterns between xerostomia injury and recovery. <br>The study compares the regional radiation dose distribution among HNC patients that developed xerostomia within 6 months of radiotherapy and those recovered from xerostomia within 18 months postradiotherapy. 258 patients' data are included in this dataset, based on HNC patients with both parotid and submandibular glands contoured between 2007 and 2017, excluding those with a pre-existing xerostomia injury, those whose xerostomia assessments were not available at 18 months of follow-up and patients who had melanoma.<br>Variables include 22 derived subvolumes, including ipsilateral/contralateral PG (iPG, cPG), ipsilateral/contralateral SMG (iSMG, cSMG), ipsilateral/contralateral OC (iOC,cOC), which form the prefix of the DVH feature column headers. The features are calculated in 10% volume increments from D10 (dose covering 10% of subvolume) to D90 (dose covering 90% of subvolume) - these form the suffixes for the DVH column headers. e.g. "ipsioc_d80".<br>The final five columns identify the relevant site for each sample.<br>The following clinical factors were also included in the models: age at start of RT (≤ 65, &gt; 65), gender (male, female), race (white, African American and other), had ever received chemotherapy (yes, no), tumor site (nasopharynx, oral cavity, oropharynx, hypopharynx and larynx), volumes of salivary glands pre-RT (iPG, cPG, iSMG, cSMG) and volumes of oral cavity surrogates (iOC and cOC). <br><br>Values are coded to protect individual identities.
DOI: 10.6084/m9.figshare.7250234.v1
title: Regional dose/volume metrics in salivary glands and oral cavity for head and neck cancer (HNC) patients with xerostomia

description: This analytic dataset consists of a single <b>.csv</b> data file holding, for 258 head and neck cancer (HNC) patients, dosiometric features in volume increments derived from a radio-morphologic feature generation pipeline. The features are based on derived subvolumes of the salivary glands. Patient demographic details are also included.<br>The related study seeks to further understanding of xerostomia (dry mouth) in patients undergoing radiation therapy (RT), specifically the regional dosimetry of normal structures involved in xerostomia. The investigation considers dose-volume histogram (DVH) regional dose/volume metrics patterns between xerostomia injury and recovery. <br>The study compares the regional radiation dose distribution among HNC patients that developed xerostomia within 6 months of radiotherapy and those recovered from xerostomia within 18 months postradiotherapy. 258 patients' data are included in this dataset, based on HNC patients with both parotid and submandibular glands contoured between 2007 and 2017, excluding those with a pre-existing xerostomia injury, those whose xerostomia assessments were not available at 18 months of follow-up and patients who had melanoma.<br>Variables include 22 derived subvolumes, including ipsilateral/contralateral PG (iPG, cPG), ipsilateral/contralateral SMG (iSMG, cSMG), ipsilateral/contralateral OC (iOC,cOC), which form the prefix of the DVH feature column headers. The features are calculated in 10% volume increments from D10 (dose covering 10% of subvolume) to D90 (dose covering 90% of subvolume) - these form the suffixes for the DVH column headers. e.g. "ipsioc_d80".<br>The final five columns identify the relevant site for each sample.<br>The following clinical factors were also included in the models: age at start of RT (≤ 65, &gt; 65), gender (male, female), race (white, African American and other), had ever received chemotherapy (yes, no), tumor site (nasopharynx, oral cavity, oropharynx, hypopharynx and larynx), volumes of salivary glands pre-RT (iPG, cPG, iSMG, cSMG) and volumes of oral cavity surrogates (iOC and cOC). <br><br>Values are coded to protect individual identities.
DOI: 10.7284/130497
title: GNSS (Global Navigation Satellite System) data collected during research cruise SKQ201815T using a C&C C-Nav 3050 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130492
title: Gravimeter data collected during research cruise SKQ201815T using a Bell BGM-3 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250153
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y). Last 12 digits of file is the timestamp. For example polavg15polavg201205102344 is the file from May 10, 2012 at 2344 UTC.
DOI: 10.7284/130498
title: Gyrocompass data collected during research cruise SKQ201815T using a Sperry NAVIGAT 2100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250153.v1
title: May 4, 2012 X-band 15-minute ensemble data

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y).
DOI: 10.7284/130499
title: Gyrocompass data collected during research cruise SKQ201815T using a Sperry NAVIGAT 2100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250153.v2
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y).
DOI: 10.6084/m9.figshare.7250153.v3
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y). Last 12 digits of file is the timestamp. For example polavg15polavg201205102344 is the file from May 10, 2012 at 2344 UTC.
DOI: 10.7284/130509
title: INS (Inertial Navigation System) data collected during research cruise SKQ201815T using a Kongsberg Seapath 320+ instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250114
title: May 3, 2012 X-band 15-minute ensemble data

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y).
DOI: 10.6084/m9.figshare.7250114.v1
title: May 3, 2012 X-band 15-minute ensemble data

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y).
DOI: 10.7284/130500
title: Meteorological Station data collected during research cruise SKQ201815T using a Vaisala WXT520 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250153.v4
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y). Last 12 digits of file is the timestamp. For example polavg15polavg201205102344 is the file from May 10, 2012 at 2344 UTC.
DOI: 10.6084/m9.figshare.7250153.v5
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y). Last 12 digits of file is the timestamp. For example polavg15polavg201205102344 is the file from May 10, 2012 at 2344 UTC.
DOI: 10.7284/130501
title: Radiometer data collected during research cruise SKQ201815T using a RMR Co. PRP instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7250153.v6
title: All May 2012 X-band 15-minute ensemble data (New River Inlet Project)

description: Matlab file (.mat) contains 15-minute averaged X-band data (a60) and corresponding latitude (latgrid), longitude (longrid), and cartesian grids (X and Y). Last 12 digits of file is the timestamp. For example polavg15polavg201205102344 is the file from May 10, 2012 at 2344 UTC.