cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14749484
title: Development of a liquid chromatography-tandem mass spectrometry method to determine colistin, bacitracin and virginiamycin M1 at cross-contamination levels in animal feed

description: Cross-contamination of animal feed with antibiotics may occur during manufacturing in feed mills, because shared production lines can be used for medicated and non-medicated feed, but may also occur during transport, storage and at the farm level. This is a major issue in the current context where antimicrobial usage must be controlled in order to maintain their effectiveness. A LC-MS/MS method was developed for the determination of colistin, bacitracin A and virginiamycin M1 in feed for pigs, poultry and rabbits at concentrations similar to those encountered in cross-contamination. After investigating various issues related to colistin behaviour and matrix effects, we successfully validated this method according to the requirements of European regulations in terms of linearity, trueness, precision, limit of quantification and limit of decision. Trueness ranged 88.6–107.8% and precision ranged 12.6–21.2%. We then applied this method to the analysis of medicated pig feed to check the performance of the method on “real” samples of medicated feed. We subsequently analysed non-medicated pig, and rabbit feed samples, collected directly on farms, to check the rate of cross-contamination. No samples were contaminated by colistin, bacitracin, or virginiamycin.
DOI: 10.6084/m9.figshare.15140187.v1
title: Hazard prioritisation of substances in printing inks and adhesives applied to plastic food packaging

description: Thousands of intentionally added substances can be used in printing inks and adhesives applied to plastic food packaging. Some of them can be transferred to foodstuffs through a phenomenon called migration, arising concerns on the potential adverse health effects derived from the exposure to chemicals that have not yet been assessed for their risks to humans. The large number of the substances concerned and the lack of prioritisation strategies hamper the work of control authorities, since it is not clear which substances should be monitored as first priority. In this study, a hazard prioritisation strategy is proposed. An inventory listing more than 6,000 substances used in inks and adhesives applied to plastic food packaging was compiled and filtered using several exclusion criteria aimed to set apart those substances for which there is no apparent need for further evaluation or because fall into one of the exclusion categories of the Threshold of Toxicological Concern (TTC) approach. Additionally, substances with a molecular weight &gt;1,000 Da were removed. Approximately 2,300 substances were retained, for which a comprehensive hazard profiling was conducted based on the general scheme for the application of the TTC approach. First, structural alerts for genotoxic and non-genotoxic carcinogenicity were investigated. If a substance was neither genotoxic nor belonging to the chemical classes of organophosphates and carbamates, the Cramer classification was used. Furthermore, the substances were searched for their presence in three so-called ‘Substances of Concern’ lists and RASFF notifications. Groups of high, medium and low priority substances were established, resulting in 1,660 substances classified as high and medium priority. A panel of five experts evaluated these substances with respect to their relevance for further risk evaluations. By applying this hazard prioritisation strategy, 696 substances were identified as ‘Very High Priority Substances’ (VHPS) for which further assessments should be performed.
DOI: 10.6084/m9.figshare.16529640.v3
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of clinical samples for the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.6084/m9.figshare.16583822.v1
title: Alignments.zip

description: All multisequence alignments used in the study
DOI: 10.6084/m9.figshare.16583822
title: Alignments.zip

description: All multisequence alignments used in the study
DOI: 10.5517/ccdc.csd.cc25y2t1
title: CCDC 2023953: Experimental Crystal Structure Determination

description: Related Article: Wei Cai, Yanlin He, Yiming Zhou, You Huang|2021|J.Org.Chem.|86|12267|doi:10.1021/acs.joc.1c01618
description: Related Article: wei cai|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25y2w3
title: CCDC 2023955: Experimental Crystal Structure Determination

description: Related Article: Wei Cai, Yanlin He, Yiming Zhou, You Huang|2021|J.Org.Chem.|86|12267|doi:10.1021/acs.joc.1c01618
description: Related Article: wei cai|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25y2x4
title: CCDC 2023956: Experimental Crystal Structure Determination

description: Related Article: Wei Cai, Yanlin He, Yiming Zhou, You Huang|2021|J.Org.Chem.|86|12267|doi:10.1021/acs.joc.1c01618
description: Related Article: wei cai|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc265hyv
title: CCDC 2031087: Experimental Crystal Structure Determination

description: Related Article: Xi Fan, Lvbing Yuan, Jian Zhang, Lei Zhang|2021|Chin.Chem.Lett.|32|2415|doi:10.1016/j.cclet.2021.01.010
DOI: 10.6084/m9.figshare.15132081.v2
title: Tyrosine_ExcitedStates

description: Data set to train 29 spin-mixed excited states of tyrosine. Reference method is ADC(2)/cc-pVDZ. The data includes augmented data based on CASPT2(12,11)/ano-rcc-pVDZ.
DOI: 10.5281/zenodo.5485145
title: 16S processed data and shell processing scripts for "Epithelial-myeloid exchange of MHCII constrains immunity and microbiota composition"

description: Main repo for MHCII on IECs 16S processing code.
DOI: 10.5281/zenodo.5485144
title: 16S processed data and shell processing scripts for "Epithelial-myeloid exchange of MHCII constrains immunity and microbiota composition"

description: Main repo for MHCII on IECs 16S processing code.
DOI: 10.6084/m9.figshare.16529640.v4
title: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling

description: NGS data of clinical samples for the publication: Ensemble of Nucleic Acid Absolute Quantitation Modules for Accurate Copy Number Variation Detection and Targeted RNA Profiling
DOI: 10.6084/m9.figshare.14646657.v7
title: High Frequency of Post-Transfusion Microchimerism, Among Transfused Beta Thalassemic Patients

description: This dataset refers to the final results of the PCR analysis.<br>
DOI: 10.5281/zenodo.5485274
title: Decarbonizing primary steel production : Techno-economic assessment of green steel production in Norway

description: Python codes for the modelling of a grid connected Hydrogen direct reduced plant combined with an electrical arc furnace for steel production.
DOI: 10.5281/zenodo.5485072
title: Santander bike network usage week 15 April 2019

description: Dataset of Dock availability of Santander BSS used in the paper "Genetic Hybrid Optimization of a Real Bike Sharing System" MDPI September 2021. The data used in this paper are distributed under the Open Licence from Etalab and were collected using the connector provided by JCDecaux.(JCDecaux. JCDecaux Developer. Open Data. 2021.). This connector’s API provides, for a certain city, an extensive set of attributes in real-time. We have selected and retrieved the number of stations, capacity and occupation every 5 min, in order to figure out the dynamic of users. Within this interval, we will transform the occupation into requests of bikes or docks by means of subtracting consecutive occupation values.
DOI: 10.5281/zenodo.5485071
title: Santander bike network usage week 15 April 2019

description: Dataset of Dock availability of Santander BSS used in the paper "Genetic Hybrid Optimization of a Real Bike Sharing System" MDPI September 2021. The data used in this paper are distributed under the Open Licence from Etalab and were collected using the connector provided by JCDecaux.(JCDecaux. JCDecaux Developer. Open Data. 2021.). This connector’s API provides, for a certain city, an extensive set of attributes in real-time. We have selected and retrieved the number of stations, capacity and occupation every 5 min, in order to figure out the dynamic of users. Within this interval, we will transform the occupation into requests of bikes or docks by means of subtracting consecutive occupation values.
DOI: 10.5281/zenodo.5483961
title: Ultraviolet Echelle Spectrograph data for RR Telescopii

description: This entry contains spectra of the star RR Telescopii obtained with the Ultraviolet Echelle Spectrograph (UVES), an instrument installed on the Kueyen telescope of the Very Large Telescope, on 1999 October 16. The spectra were used in the publications Young, Berrington & Lobel (2005, A&A, 432, 665) and Young, Feldman & Lobel (2011, ApJS, 196, 23). The tar file is structured as follows: reduced/bluearm/withflat/<br> reduced/redarm/withflat/ with the directories containing the echelle order spectra for the UVES blue arm and the UVES red arm, respectively. The echelle order spectra are contained in FITS files with names of the form blueNNNN.fits and redNNNN.fits, where the number NNNN gives the echelle order number. In each directory there is also a file WAVELENGTHS.txt that summarizes the wavelength range of each spectrum.
DOI: 10.5281/zenodo.5483960
title: Ultraviolet Echelle Spectrograph data for RR Telescopii

description: This entry contains spectra of the star RR Telescopii obtained with the Ultraviolet Echelle Spectrograph (UVES), an instrument installed on the Kueyen telescope of the Very Large Telescope, on 1999 October 16. The spectra were used in the publications Young, Berrington & Lobel (2005, A&A, 432, 665) and Young, Feldman & Lobel (2011, ApJS, 196, 23). The tar file is structured as follows: reduced/bluearm/withflat/<br> reduced/redarm/withflat/ with the directories containing the echelle order spectra for the UVES blue arm and the UVES red arm, respectively. The echelle order spectra are contained in FITS files with names of the form blueNNNN.fits and redNNNN.fits, where the number NNNN gives the echelle order number. In each directory there is also a file WAVELENGTHS.txt that summarizes the wavelength range of each spectrum.
DOI: 10.25550/2-4hre
title: Lhx6 regulates tooth root patterning and morphogenesis

description: We show in vivo evidence that Lhx6 is a key regulator of tooth root patterning. Lhx6 is consistently and specifically expressed in the dental mesenchyme in mice after birth. Unexpectedly, despite the fact that Lhx6 is broadly expressed in dental mesenchyme during embryonic tooth crown development, it labels a subpopulation of Gli1+ root progenitor cells in the apical dental mesenchyme during postnatal root development. The progeny of this Lhx6+ cell subpopulation is closely associated with root furcation development, and loss of Lhx6 results in root furcation and number of defects. Mechanistically, Lhx6 regulates tooth root patterning and morphogenesis through coordinating key cellular events including mesenchymal proliferation and differentiation as well as dental epithelial elongation.
DOI: 10.25550/2-557p
title: Coronal Suture, WT, Fgfr2+/S252W (Apert syndrome mouse model), Twist1+/- (Saethre-Chotzen syndrome mouse model), E14.5

description: RNA-Seq libraries are from laser capture microdissections of C57BL/6J Fgfr2+/+ (W) and C57BL/6J Apert syndrome EIIA-Cre+;Fgfr2+/S252W (A) mice, at development stages TS22/E14.5, from the coronal suture (S), with 5 biological replicates (1-5), of the suture mesenchyme (SM), frontal (FR) osteogenic fronts, and parietal (PA) osteogenic fronts. “W4C1SM”, for example, indicates WT, E14.5, coronal suture, replicate 1, suture mesenchyme.
DOI: 10.25550/2-55e8
title: Single Cell Sequencing - Sagittal Suture, Wild Type (E18.5, PN10, PN28)

description: Single Cell RNA-Seq library is from pooled C57BL/6J (W) mice, at the development stage TS26/E18.5 (E18) and postnatal day 28 (PN28) from the sagittal suture (S). “scWSE18_340”, indicates single cell data, WT, sagittal suture, E18.5, from sequencing library 340. Single cell libraries are prepared after protease digestion of the sutures on a 10x Chromium instrument model GCG-SR-1 using the Chromium Single Cell Gene Expression 3' (Version 2 or Version 3) kit. Different libraries from the same developmental stage constitute independent biological replicates.
DOI: 10.15472/bw5o1u
title: Listado de las especies de Scirtidae (Coleoptera: Scirtoidea) de Colombia

description: Este recurso presenta el listado de las especies de la familia Scirtidae Fleming, 1821 (Coleoptera: Scirtoidea) con ocurrencia conocida para el territorio colombiano. Se listan una subfamilia, un género y dos especies. La información ha sido recopilada a partir de catálogos y en literatura reciente. Se incluyen las referencias de las descripciones originales y demás trabajos que tratan el grupo.
DOI: 10.5281/zenodo.5485336
title: Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer

description: Dataset for the specified study.
DOI: 10.5281/zenodo.5485335
title: Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer

description: Dataset for the specified study.
DOI: 10.5517/ccdc.csd.cc280rwy
title: CCDC 2086110: Experimental Crystal Structure Determination

description: Related Article: Ziyi Li, Nana Wang, Jiang Liu, Haibo Mei, Vadim A. Soloshonok, Jianlin Han|2021|Org.Lett.|23|6941|doi:10.1021/acs.orglett.1c02538
DOI: 10.6084/m9.figshare.13619258
title: Indonesian Archipelago Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Lyons, M., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. Indonesian Archipelago Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619258 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.5519/qd.qe518xps
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.13619339
title: Northern Caribbean & Bahamas Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Borrego-Acevedo, R., Lyons, M., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. Northern Caribbean & Bahamas Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619339 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.13619450
title: East Africa Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Borrego-Acevedo, R., Lyons, M., Canto, R., Harris, D., Kennedy, E., Kovacs , E., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Tudman, P., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2020. East Africa Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.13619450 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/