cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/143208
title: TSG (Thermosalinograph) data collected during research cruise LMG1207 using a Sea-Bird SBE-45 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5255/ukda-sn-855053
title: Development and Validation of the Suicidal Behaviours Questionnaire - Autism Spectrum Conditions and the Autistic Depression Assessment Tool - Adult, 2018-2019

description: Autistic people and those with high autistic traits (but not diagnosed) are at high risk of experiencing depression and suicidality. Yet, there are no depression or suicidality assessment tools developed or validated with or for these groups. Two widely used and validated mental health assessment tools originally developed for the general population (The Patient Health Questionnaire - 9 item (PHQ-9) and the Suicidal Behaviours Questionnaire - Revised (SBQ-R)), were adapted using feedback from autistic adults, to create the Suicidal Behaviours Questionnaire - Autism Spectrum Conditions (SBQ-ASC), and the Autistic Depression Assessment Tool - Adult (ADAT-A). Data from the two anonymous online surveys developing and validating these adapted tools are included in this data collection. Delphi Survey 1 aimed to gather feedback on the original, and penultimate versions of the adapted mental health assessment tools, prior to finalising and testing the measurement properties of the original and adapted tools. Data collection through an anonymous online Qualtrics survey took place between 31st August 2018 - 31st October 2018. A community sample of autistic, possibly autistic (awaiting assessment - not yet diagnosed) and non-autistic adults were invited to rate the clarity, importance, and provide qualitative feedback for each item on the original PHQ-9 and SBQ-R, and penultimate version of the adapted versions of these tools (ADAT-A and SBQ-ASC). Validation survey 2 aimed to establish whether: a) the final adaptations addressed all the issues identified in the Delphi survey; b) test the measurement properties of the finalised adapted tools. Data collection through an anonymous online Qualtrics survey took place between 15th July 2019 - 30th August 2019. A community sample of autistic, possibly autistic (self-identified but not diagnosed), and non-autistic adults were invited to complete the original (PHQ-9 and SBQ-R) and updated versions of the adapted versions of these tools (ADAT-A and SBQ-ASC), and provide qualitative feedback on each tool (to ensure that all issues identified in the Delphi survey had been addressed). Participants also completed other measures to help test convergent and divergent validity of the adapted tools (self-report measures of autistic traits (AQ), camouflaging autistic traits (CAT-Q), depression (PHQ-9), anxiety (ASA-A), thwarted belongingness and perceived burdensomeness (INQ-15)). Please note, that validation survey 2 included the finalised SBQ-ASC which has now been published and made available. However, results from validation survey 2 showed that the ADAT-A needed further refinement to wording and response options. Therefore, the validation survey 2 data for the ADAT-A is not for the finalised version of this measure.
DOI: 10.5255/ukda-sn-855064
title: Weekly Mortality by Cause of Death in London, 1870-1939

description: This dataset contains weekly mortality statistics, broken down by cause of death, for London, from 1870-1939. These data were entered from the Weekly Reports produced by the Registrar General's Office. The data set also includes age breakdowns, when available, as well as the number of births in each week.
DOI: 10.5281/zenodo.5101752
title: xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing - SGNEx data

description: xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore. All the preprocessed datasets used in the paper are provided here. Please cite our paper below when using these data.<br> Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
description: {"references": ["Ploy N. Pratanwanich et al. \"Detection of differential RNA modifications from direct RNA sequencing of human cell lines.\" bioRxiv (2020)."]}
DOI: 10.5281/zenodo.4604945
title: xPore: Identification of differential RNA modifications from nanopore direct RNA sequencing - SGNEx data

description: xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore. All the preprocessed datasets used in the paper are provided here. Please cite our paper below when using these data.<br> Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
description: {"references": ["Ploy N. Pratanwanich et al. \"Detection of differential RNA modifications from direct RNA sequencing of human cell lines.\" bioRxiv (2020)."]}
DOI: 10.6073/pasta/9014da3b5b4170d95b7b427cf818887e
title: Precipitation from the Taylor Slough, Everglades National Park (FCE LTER), South Florida from July 2000 to Present

description: Rain level data are collected using ISCO rain level gages attached to ISCO autosamplers, which also act as dataloggers. We condense these data into daily cumulative rainfall, although hourly rain level data are also available.
DOI: 10.5281/zenodo.5104094
title: Hull Springs Dock YSI Station 2021-05-03 to 2021-06-09

description: <pre># General Metadata for Hull Springs Dock-YSI Sampling Station ## Files Specific metadata for each deployment can be found as text files with the file format of: HS_YSI_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. ## File Created * 2021-07-14 by KF ## File Modified ## Description These data are from the YSI EXO3 sampling station in Aimes Creek near the lab dock (38.125367, -76.659537). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The sensors are sampled every 15 minutes ### Measurements Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date - the date that the record was collected ( * time - the time that the record was collected ( * site_name - the ID name provided by the KOR software. * unit_ID - the sonde identification number. * user_ID - the user that created the sampling template. * Temp_dC - the water temperature in degrees C. * DO_perc - the dissolved oxygen percent saturation (%). * DO_percL - the "local" dissolved oxygen percent saturation where the calibration is locally always 100% saturated independent of the barometric pressure (%). * DO_mg-L - the concentration of dissolved oxygen (mg/L). * SPC_uS-cm - the specific conductance (uS/cm). * C_uS-cm - the conductivity (uS/cm). * nLFC_uS-cm * TDS_mg-L - the total dissolved solids (mg/L). * SAL_PSU - the salinity of the water (PSU). * pH - the pH of the water. * pH_mV - the millivolt measurement of the pH meter (mV). * FNU - the turbidity of the water (FNU). * TSS_mg-L - the total suspended solids (mg/L). * BGA_PC_RFU - the phycocyanin fluorescence level which is an indicator of blue-green algae (RFU). * BGC_PC_ug-L - the concentration of phycocyanin in the water, which is an indicator of blue-green algae (ug/L). * Chl_RFU - the chlorophyll fluorescence level, which is an indicator of phytoplankton biomass (RFU). * Chl_ug-L - the concentration of chlorophyll in the water, which is an indicator of phytoplankton biomass (ug/L). * fDOM_RFU - the fluorescent DOM fluorescence level (RFU). * fDOM_QSU - the standardized fluorescent DOM concentration (QSU). * Wiper_V - the voltage output of the wiper (V). * Cabel_V - the voltage output of the cable (V). * Batt_V - the voltage output of the internal batteries (V). </pre>
DOI: 10.5281/zenodo.5104093
title: Hull Springs Dock YSI Station 2021-05-03 to 2021-06-09

description: <pre># General Metadata for Hull Springs Dock-YSI Sampling Station ## Files Specific metadata for each deployment can be found as text files with the file format of: HS_YSI_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. ## File Created * 2021-07-14 by KF ## File Modified ## Description These data are from the YSI EXO3 sampling station in Aimes Creek near the lab dock (38.125367, -76.659537). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The sensors are sampled every 15 minutes ### Measurements Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date - the date that the record was collected ( * time - the time that the record was collected ( * site_name - the ID name provided by the KOR software. * unit_ID - the sonde identification number. * user_ID - the user that created the sampling template. * Temp_dC - the water temperature in degrees C. * DO_perc - the dissolved oxygen percent saturation (%). * DO_percL - the "local" dissolved oxygen percent saturation where the calibration is locally always 100% saturated independent of the barometric pressure (%). * DO_mg-L - the concentration of dissolved oxygen (mg/L). * SPC_uS-cm - the specific conductance (uS/cm). * C_uS-cm - the conductivity (uS/cm). * nLFC_uS-cm * TDS_mg-L - the total dissolved solids (mg/L). * SAL_PSU - the salinity of the water (PSU). * pH - the pH of the water. * pH_mV - the millivolt measurement of the pH meter (mV). * FNU - the turbidity of the water (FNU). * TSS_mg-L - the total suspended solids (mg/L). * BGA_PC_RFU - the phycocyanin fluorescence level which is an indicator of blue-green algae (RFU). * BGC_PC_ug-L - the concentration of phycocyanin in the water, which is an indicator of blue-green algae (ug/L). * Chl_RFU - the chlorophyll fluorescence level, which is an indicator of phytoplankton biomass (RFU). * Chl_ug-L - the concentration of chlorophyll in the water, which is an indicator of phytoplankton biomass (ug/L). * fDOM_RFU - the fluorescent DOM fluorescence level (RFU). * fDOM_QSU - the standardized fluorescent DOM concentration (QSU). * Wiper_V - the voltage output of the wiper (V). * Cabel_V - the voltage output of the cable (V). * Batt_V - the voltage output of the internal batteries (V). </pre>
DOI: 10.15468/p56qtw
title: Two new hydrozoan species from the Taiwan Strait, China (Cnidaria: Hydrozoa: Leptothecata)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Guo, Donghui, Xu, Zhenzu, Huang, Jiaqi, Wang, Chunguang, Lin, Mao (2019): Two new hydrozoan species from the Taiwan Strait, China (Cnidaria: Hydrozoa: Leptothecata). Zoological Systematics 44 (3): 185-190, DOI: 10.11865/zs.201922, URL: http://zoobank.org/91ac18ed-0aac-445e-b52d-0ee1463656ec
DOI: 10.25345/c5t25j
title: MassIVE MSV000087822 - TMK-based cell surface auxin signaling activates cell wall acidification in Arabidopsis
title: The phytohormone auxin controls a myriad of processes in plants, at least in part through its regulation of cell expansion. The "acid growth hypothesis" has been proposed to explain auxin-stimulated cell expansion for five decades, but the mechanism underlying auxin-induced cell wall acidification is poorly characterized. Auxin induces the phosphorylation and activation of the plasma membrane (PM) H+-ATPase that pumps protons into the apoplast, yet how auxin activates its phosphorylation remains elusive. Here, we show that the transmembrane kinase (TMK) auxin signaling proteins interact with PM H+-ATPases and activate their phosphorylation to promote cell wall acidification and hypocotyl cell elongation in Arabidopsis. Auxin induced TMK's interaction with H+-ATPase on the plasma membrane within 1-2 minutes as well as TMK-dependent phosphorylation of the penultimate Thr residue. Genetic, biochemical, and molecular evidence demonstrates that TMKs directly phosphorylate PM H+-ATPase and are required for auxin-induced PM H+-ATPase activation, apoplastic acidification, and cell expansion. Thus, our findings reveal a crucial connection between auxin and PM H+-ATPase activation in regulating apoplastic pH changes and cell expansion via TMK-based cell surface auxin signaling.
DOI: 10.5281/zenodo.5104221
title: Sequences of different Coronavirus groups, including Receptor Binding Domains inferred from ancestors to SARS-CoV-2

description: List of Coronavirus sequences used in 'Recombination and lineage-specific mutations linked to the emergence of SARS-CoV-2', by Juan Ángel Patiño-Galindo et al. Under review in Genome Medicine.
DOI: 10.5281/zenodo.5104220
title: Sequences of different Coronavirus groups, including Receptor Binding Domains inferred from ancestors to SARS-CoV-2

description: List of Coronavirus sequences used in 'Recombination and lineage-specific mutations linked to the emergence of SARS-CoV-2', by Juan Ángel Patiño-Galindo et al. Under review in Genome Medicine.
DOI: 10.25318/13250002-eng
title: Crowdsourcing: Impacts of COVID-19 on Canadians' Mental Health Public Use Microdata File

description: This public use microdata file includes information from the second COVID crowdsource questionnaire that collected information on Canadians' behaviours and concerns relating to COVID, specifically regarding their current economic and social situation, as well as their mental and physical health. This product is provided using Statistics Canada's electronic file transfer service.
DOI: 10.25318/13250002-fra
title: Approche participative : Répercussions de la COVID-19 sur la santé mentale des Canadiens fichier de microdonnées à grande diffusion

description: Ce fichier de microdonnées à grande diffusion comprend des renseignements provenant du deuxième questionnaire à approche participative qui a recueilli des renseignements sur les comportements et les préoccupations des Canadiens concernant la pandémie de COVID-19, en particulier en ce qui concerne leur situation sociale et économique actuelle, en plus de leur santé mentale et physique. Ce produit est fourni à l'aide du service de transfert électronique de fichiers de Statistique Canada.
DOI: 10.5281/zenodo.5091121
title: Indicative distribution map for Ecosystem Functional Group T2.6 Temperate pyric sclerophyll forests and woodlands

description: This archive contains indicative distribution maps and profiles for <strong>T2.6 Temperate pyric sclerophyll forests and woodlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091120
title: Indicative distribution map for Ecosystem Functional Group T2.6 Temperate pyric sclerophyll forests and woodlands

description: This archive contains indicative distribution maps and profiles for <strong>T2.6 Temperate pyric sclerophyll forests and woodlands</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.25318/13250003-eng
title: Crowdsourcing: Impacts of COVID-19 on Canadians Living With Long-term Conditions and Disabilities Public Use Microdata File

description: This public use microdata file includes crowdsource questionnaire information on how COVID-19 has impacted the employment, household expenses, and access to health services of Canadians living with a long-term condition or disability. This product is provided using Statistics Canada's electronic file transfer service.
DOI: 10.5281/zenodo.5091115
title: Indicative distribution map for Ecosystem Functional Group MT3.1 Artificial shorelines

description: This archive contains indicative distribution maps and profiles for <strong>MT3.1 Artificial shorelines</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091114
title: Indicative distribution map for Ecosystem Functional Group MT3.1 Artificial shorelines

description: This archive contains indicative distribution maps and profiles for <strong>MT3.1 Artificial shorelines</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.
DOI: 10.5281/zenodo.5091089
title: Indicative distribution map for Ecosystem Functional Group MT1.1 Rocky Shorelines

description: This archive contains indicative distribution maps and profiles for <strong>MT1.1 Rocky Shorelines</strong>, a ecosystem functional group (EFG, level 3) of the IUCN Global Ecosystem Typology (v2.0). Please refer to Keith <em>et al.</em> (2020) for details. The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).
description: This dataset is part of the publication: Keith DA, Ferrer-Paris JR, Nicholson E, Kingsford RT (Eds.) (2020) 'The IUCN Global Ecosystem Typology v2.0: Descriptive profiles for Biomes and Ecosystem Functional Groups'. The International Union for the Conservation of Nature (IUCN), Gland. DOI:10.2305/IUCN.CH.2020.13.en. DAK, & JRFP were supported by ARC Linkage Grants LP170101143 and LP180100159 and the MAVA Foundation.