cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23645/epacomptox.7660979.v1
title: Chemical Structures that failed during mass spectral prediction

description: Predicted spectra of ~700,000 chemical structures from the CompTox Chemicals Dashboard were generated using the CFM-ID model developed by Allen, et al. (https://doi.org/10.1007/s11306-014-0676-4 and https://doi.org/10.1007/s11306-014-0676-4) in ESI-positive and negative modes and EI-MS. Due to structural errors and model constraints, the prediction of all MS modes failed for 56 structures.
DOI: 10.6084/m9.figshare.7660997.v1
title: Patients characteristics and surgical outcome data for 208 patients who underwent either integrated robotic distal gastrectomy or conventional laparoscopic distal gastrectomy

description: This dataset comprises a single <b>.xlsx </b>spreadsheet. The data are patient characteristics and surgical outcomes for patients who underwent gastrectomies. Two types of gastrectomy are covered: integrated robotic distal gastrectomy (IRDG), which combines fluorescence imaging with a Single-Site robotic platform (Intuitive Surgical), and conventional laparoscopic distal gastrectomy (CLDG).<br><br>Data are provided for 208 patients, with key variables including:- <b>Approach </b>(IRDG = 1, CLDG = 0)- <b>Age</b>- <b>Sex</b>- <b>BMI</b>- <b>ASA </b>(American Society of Anesthesiologists score)- <b>conversion </b>(to open surgery)- <b>Time </b>(operation time, in minutes)- <b>readmission </b>(1 = readmitted)<br>The related study compares the surgical success of IRDG versus CLDG. To do this, the authors performed retrospective analysis of patient characteristics and surgical outcomes for 208 patients: 56 who underwent IRDG and 152 who underwent CLDG. Surgical outcomes were measured by assessing: the frequency of perioperative morbidity, conversion to open surgery, readmission after discharge, positive resection margin, and retrieval of &lt;16 lymph nodes. The study reports that more favourable surgical outcomes are associated with IRDG.<br>
DOI: 10.7284/111120
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB987 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660964
title: Po_FL.transcription_factor.txt

description: This dataset contains all of the predicted transcription factors of <i>P. olivaceus.</i>
DOI: 10.23645/epacomptox.7660961
title: Database of Predicted Spectra of CompTox Chemicals Dashboard Structures

description: Predicted spectra of ~700,000 chemical structures from the CompTox Chemicals Dashboard were generated using the CFM-ID model developed by Allen, et al. (https://doi.org/10.1007/s11306-014-0676-4 and https://doi.org/10.1007/s11306-014-0676-4) in ESI-positive and negative modes and EI-MS. These data are provided in an SQL relational database.
DOI: 10.7284/111121
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB988 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23645/epacomptox.7660961.v1
title: Database of Predicted Spectra of CompTox Chemicals Dashboard Structures

description: Predicted spectra of ~700,000 chemical structures from the CompTox Chemicals Dashboard were generated using the CFM-ID model developed by Allen, et al. (https://doi.org/10.1007/s11306-014-0676-4 and https://doi.org/10.1007/s11306-014-0676-4) in ESI-positive and negative modes and EI-MS. These data are provided in an SQL relational database.
DOI: 10.6084/m9.figshare.7660973.v1
title: The Clinical and Molecular Epidemiology of CTX-M-9 Group Producing Enterobacteriaceae Infections in Children

description: Full copyright for enhanced digital features is owned by the authors.<br><strong>Article full text</strong><br> The article associated with this content has been accepted for online publication and is in the final stages of production. The link to the full text will be made available on this page in the next few days. <br>At present, this page contains a pre-typeset version of the associated article. <br> <strong>Provide enhanced digital features for this article</strong><br> If you are an author of this publication and would like to provide additional enhanced digital features for your article then please contact adisrapidplus@springer.com.<br> <br> The journal offers a range of additional features designed to increase visibility and readership. All features will be thoroughly peer reviewed to ensure the content is of the highest scientific standard and all features are marked as ‘peer reviewed’ to ensure readers are aware that the content has been reviewed to the same level as the articles they are being presented alongside. Moreover, all sponsorship and disclosure information is included to provide complete transparency and adherence to good publication practices. This ensures that however the content is reached the reader has a full understanding of its origin. No fees are charged for hosting additional open access content.<br> <br> Other enhanced features include, but are not limited to:<br> • Slide decks<br> • Videos and animations<br> • Audio abstracts<br> • Audio slides
DOI: 10.6084/m9.figshare.7660964.v1
title: Po_FL.transcription_factor.txt

description: This dataset contains all of the predicted transcription factors of <i>P. olivaceus.</i>
DOI: 10.6084/m9.figshare.7660964.v2
title: Po_FL.transcription_factor.txt

description: This dataset contains all of the predicted transcription factors of <i>P. olivaceus.</i>
DOI: 10.7284/111122
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB989 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660916
title: Table S6: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Whole rock major and trace element concentrations
DOI: 10.6084/m9.figshare.7660916.v1
title: Table S6: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Whole rock major and trace element concentrations
DOI: 10.7284/111123
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB990 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660910
title: Table S5: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from granites and alkali feldspar granites
DOI: 10.6084/m9.figshare.7660907
title: Table S3: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from high-Na–low-Ca trondhjemites
DOI: 10.6084/m9.figshare.7660910.v1
title: Table S5: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from granites and alkali feldspar granites
DOI: 10.7284/111124
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB993 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660904
title: Table S4: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from transitional trondhjemites
DOI: 10.6084/m9.figshare.7660907.v1
title: Table S3: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from high-Na–low-Ca trondhjemites
DOI: 10.6084/m9.figshare.7660889
title: A Vector Field Color Rendition Model for Characterizing Color Shifts and Metameric Mismatch

description: This article describes a way to distinguish between two distinct components of light source–induced color shifts, <i>base color shift</i> and <i>metameric color shift</i>, to provide a more complete understanding of color rendition. Working within the existing framework of IES TM-30-18 and CIE 224:2017, it shows that base color shift varies smoothly with location in color space in a pattern that is determined by the spectral power distribution (SPD) of the light source. Patterns of smooth variation can often be approximated well with a low-order polynomial function. Here, a vector field model is presented, based on a second-order polynomial function. The polynomial coefficients are adjusted, for a given light source, to provide a least squares fit to the calculated color shifts of a standard set of color samples. The adequacy of this model was verified by comparing it to another approach for characterizing base color shift that is based on discretization of color space and a much larger set of color samples. Once the vector field model of base color shifts for a given light source is determined, the metameric color shifts can be calculated from the residuals and the distribution of those shifts can be statistically summarized. Based on this information, a metameric uncertainty index (<i>R</i><sub>t</sub>) is proposed to provide new information about a light source. In particular, it can be used to estimate the likelihood of noticeable metameric mismatches induced by a given light source, which could lead to improved predictions of the perceived color quality of light.
DOI: 10.6084/m9.figshare.7660895
title: Table S2: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from low-Ca trondhjemites
DOI: 10.6084/m9.figshare.7660898
title: Table S1: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from <i>s.s</i>. and high-Na trondhjemites
DOI: 10.6084/m9.figshare.7660901
title: Table S7: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Whole rock Sr–Nd isotopic compositions
DOI: 10.6084/m9.figshare.7660904.v1
title: Table S4: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from transitional trondhjemites
DOI: 10.6084/m9.figshare.7660895.v1
title: Table S2: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from low-Ca trondhjemites
DOI: 10.6084/m9.figshare.7660898.v1
title: Table S1: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Mineral chemistry of feldspars from <i>s.s</i>. and high-Na trondhjemites
DOI: 10.6084/m9.figshare.7660901.v1
title: Table S7: Water-assisted production of late-orogenic trondhjemites at magmatic and subsolidus conditions

description: Whole rock Sr–Nd isotopic compositions
DOI: 10.7284/111125
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB994 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660889.v1
title: A Vector Field Color Rendition Model for Characterizing Color Shifts and Metameric Mismatch

description: This article describes a way to distinguish between two distinct components of light source–induced color shifts, <i>base color shift</i> and <i>metameric color shift</i>, to provide a more complete understanding of color rendition. Working within the existing framework of IES TM-30-18 and CIE 224:2017, it shows that base color shift varies smoothly with location in color space in a pattern that is determined by the spectral power distribution (SPD) of the light source. Patterns of smooth variation can often be approximated well with a low-order polynomial function. Here, a vector field model is presented, based on a second-order polynomial function. The polynomial coefficients are adjusted, for a given light source, to provide a least squares fit to the calculated color shifts of a standard set of color samples. The adequacy of this model was verified by comparing it to another approach for characterizing base color shift that is based on discretization of color space and a much larger set of color samples. Once the vector field model of base color shifts for a given light source is determined, the metameric color shifts can be calculated from the residuals and the distribution of those shifts can be statistically summarized. Based on this information, a metameric uncertainty index (<i>R</i><sub>t</sub>) is proposed to provide new information about a light source. In particular, it can be used to estimate the likelihood of noticeable metameric mismatches induced by a given light source, which could lead to improved predictions of the perceived color quality of light.
DOI: 10.7284/111126
title: GNSS (Global Navigation Satellite System) data collected during research cruise CB999 using a Northstar 951X instrument system onboard the platform RV Clifford A. Barnes

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23645/epacomptox.7660883.v1
title: Predicted MS/MS Spectra in ESI-negative mode of CompTox Chemicals Dashboard Structures

description: Predicted MS/MS spectra of ~700,000 chemical structures from the CompTox Chemicals Dashboard were generated using the CFM-ID model developed by Allen, et al. (https://doi.org/10.1007/s11306-014-0676-4) in ESI-negative mode. These data are provided in .dat ASCII format.
DOI: 10.24376/rd.sgul.7660790
title: Precise social science study qualitative data

description: Data supporting “It’s not a time spent issue, it’s a ‘what have you spent your time doing?’ issue…” A qualitative study of UK patient opinions and expectations for implementation of Point of Care Tests for sexually transmitted infections and antimicrobial resistance.”<br>Data were collected in two stages: June 2015 – February 2016 and February 2017-August 2017.<br>A total of six SHCs in the UK were selected for inclusion in the study based on geographic location, access to a wide range of patients, and willingness to participate. Interviews were audio recorded and transcribed verbatim. Transcripts were then checked for accuracy (cleaned) against the audio recording by the interviewers. A content analysis approach was used to capture and uncover substantive meanings within the dataset. Data were analysed using a thematic style approach. Transcripts were coded thematically in NVivo 11. Framework was used as a tool to organise themes, as this approach allows for reading themes across and within cases, giving opportunity for both in-depth case study analysis and explanatory analyses based on comparison of themes across the dataset. The full list of themes is included with the dataset.<br>Ethical approval was given in June 2015 by London Bridge Research Ethics Committee, reference 15/LO/0535: Developing patient-centred, rapid, Point-of-Care testing including antimicrobial resistance markers for specialist sexual health services in the NHS: the Precise study social science programme.<br>The journal article this dataset refers to can be found via the link referenced below.<br>Contact the SGUL RDM Service at researchdata@sgul.ac.uk to request access to the dataset.<br>
DOI: 10.7284/102840
title: GNSS (Global Navigation Satellite System) data collected during research cruise CH0109 using a Northstar 952X instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.24376/rd.sgul.7660790.v1
title: Precise Q1Q2 data_deidentified full dataset

description: Data supporting “It’s not a time spent issue, it’s a ‘what have you spent your time doing?’ issue…” A qualitative study of UK patient opinions and expectations for implementation of Point of Care Tests for sexually transmitted infections and antimicrobial resistance.”<br>Data were collected in two stages: June 2015 – February 2016 and February 2017-August 2017.<br>A total of six SHCs in the UK were selected for inclusion in the study based on geographic location, access to a wide range of patients, and willingness to participate. Interviews were audio recorded and transcribed verbatim. Transcripts were then checked for accuracy (cleaned) against the audio recording by the interviewers. A content analysis approach was used to capture and uncover substantive meanings within the dataset. Data were analysed using a thematic style approach. Transcripts were coded thematically in NVivo 11. Framework was used as a tool to organise themes, as this approach allows for reading themes across and within cases, giving opportunity for both in-depth case study analysis and explanatory analyses based on comparison of themes across the dataset. The full list of themes is included with the dataset.<br>Ethical approval was given in June 2015 by London Bridge Research Ethics Committee, reference 15/LO/0535: Developing patient-centred, rapid, Point-of-Care testing including antimicrobial resistance markers for specialist sexual health services in the NHS: the Precise study social science programme.<br>The journal article this dataset refers to can be found via the link referenced below.<br>Contact the SGUL RDM Service at researchdata@sgul.ac.uk to request access to the dataset.<br>
DOI: 10.7284/102469
title: Winch data collected during research cruise CH0109 using a Markey DUSH-5 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660727
title: Table S1. Sample and zircon descriptions. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S1. Description of samples used for zircon analysis
DOI: 10.6084/m9.figshare.7660730
title: Table S5. Trace element analyses. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S5. Whole-rock geochemical data for post-tectonic granites of the Nyimba–Sinda Terrane
DOI: 10.6084/m9.figshare.7660721
title: Table S3. Lu–Hf analyses. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S3. Individual Lu–Hf analytical data
DOI: 10.6084/m9.figshare.7660724
title: Table S2. U–Pb analyses. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S2. Individual U–Pb ages for all unknown and standard zircon analyses
DOI: 10.6084/m9.figshare.7660727.v1
title: Table S1. Sample and zircon descriptions. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S1. Description of samples used for zircon analysis
DOI: 10.6084/m9.figshare.7660730.v1
title: Table S5. Trace element analyses. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S5. Whole-rock geochemical data for post-tectonic granites of the Nyimba–Sinda Terrane
DOI: 10.7284/103224
title: Anemometer data collected during research cruise CH0110 using a RM Young 05103 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660715
title: Table S4. Zircon REE. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S4. Individual zircon REE analyses
DOI: 10.6084/m9.figshare.7660724.v1
title: Table S2. U–Pb analyses. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S2. Individual U–Pb ages for all unknown and standard zircon analyses
DOI: 10.6084/m9.figshare.7660715.v1
title: Table S4. Zircon REE. Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

description: Table S4. Individual zircon REE analyses
DOI: 10.7284/103225
title: Anemometer data collected during research cruise CH0110 using a RM Young 05103 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660643
title: Raw data for hook measurements

description: Data for 14 point-to-point measurements of the hooks of three diplozoid parasites.
DOI: 10.7284/103220
title: Fluorometer data collected during research cruise CH0110 using a Turner 10-AU instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660643.v1
title: Using scanning electron microscopy (SEM) to study morphology and morphometry of the isolated haptoral sclerites of three distinct diplozoid species

description: Data for 14 point-to-point measurements of the hooks of three diplozoid parasites.
DOI: 10.6084/m9.figshare.7660643.v2
title: Raw data for hook measurements

description: Data for 14 point-to-point measurements of the hooks of three diplozoid parasites.
DOI: 10.7284/103226
title: GNSS (Global Navigation Satellite System) data collected during research cruise CH0110 using a Northstar 952X instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/103221
title: Meteorological Station data collected during research cruise CH0110 using a RM Young 26700 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/103223
title: Singlebeam Echosounder data collected during research cruise CH0110 using a Furuno FCV-292 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/103222
title: Speedlog data collected during research cruise CH0110 using a Furuno DS-80 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104753
title: Anemometer data collected during research cruise CH0111 using a RM Young 05103 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104754
title: Anemometer data collected during research cruise CH0111 using a RM Young 05103 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104755
title: GNSS (Global Navigation Satellite System) data collected during research cruise CH0111 using a Northstar 952X instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104752
title: Gyrocompass data collected during research cruise CH0111 using a Sperry MK-37 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104749
title: Meteorological Station data collected during research cruise CH0111 using a RM Young 26700 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7660391
title: Bibliographic database search results for building a library in EndNote Online

description: Results from a search on topic words in Web of Science Core Collections, Scopus and PubMed using Stockholm University subscription on 01/02/2019 using the following search string: ((herbivory OR graz* OR brows* OR trampl*) AND (reindeer OR caribou OR Rangifer))
DOI: 10.7284/104751
title: Singlebeam Echosounder data collected during research cruise CH0111 using a Furuno FCV-292 instrument system onboard the platform RV Cape Hatteras

description: Original (unprocessed) data collected during a Field_expedition