cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5282/ubm/data.138
title: Der wissenschaftliche Nachwuchs in den Historischen Grundwissenschaften

description: Um ein fundiertes Bild über die Situation des grundwissenschaftlichen Nachwuchses in Deutschland zu erhalten, wurde im Februar 2018 unter den Mitgliedern des Nachwuchsnetzwerks Historische Grundwissenschaften (NHG) eine Umfrage durchgeführt. Mit der Befragung wurde das Ziel verfolgt, auf folgende Fragen Antworten zu finden: - In welchen institutionellen Bahnen bewegen sich grundwissenschaftliche Forschungsarbeiten? - Welche grundwissenschaftliche Disziplinen und Methoden spielen darin eine Rolle? - Welche Quellen stehen im Zentrum der Bearbeitung bzw. Erschließung? - Welchen Stellenwert nehmen digitale Methoden im Rahmen ihrer Bearbeitung ein? - Welche beruflichen Wünsche und Ziele verfolgen grundwissenschaftliche Nachwuchswissenschaftler/-innen? Die Ergebnisse der Umfrage wurden in folgendem Beitrag beschrieben und eingeordnet: Forschungsprojekte und Perspektiven des wissenschaftlichen Nachwuchses in den Historischen Grundwissenschaften, in: Archiv für Diplomatik 65 (2019), S. 387-407.
DOI: 10.7910/dvn/u4uslf/bbqi4e
title: wb or leak long form data.tab

description: :unav
DOI: 10.7910/dvn/u4uslf/c9btnt
title: WB or leak stata do file.do

description: :unav
DOI: 10.7910/dvn/u4uslf/lbjtag
title: readme.rtf

description: :unav
DOI: 10.7910/dvn/u4uslf/wfjyvk
title: wb or leak stata run log file.pdf

description: :unav
DOI: 10.17632/jdbhfj6btd.3
title: Data for: BIAS AND OTHER ERROR IN GRIDDED WEATHER DATA SETS FOR THE PURPOSE OF ESTIMATING REFERENCE EVAPOTRANSPIRATION

description: Supplemental figures to complement the Agricultural Water Management Article "BIAS AND OTHER ERROR IN GRIDDED WEATHER DATA SETS FOR THE PURPOSE OF ESTIMATING REFERENCE EVAPOTRANSPIRATION"
DOI: 10.21227/06m8-ew92
title: pmmw_data.rar

description: The PMMW real-time imager, SAIR-U, is developed by Microwave Laboratory of Beihang University, China.It could be (or has been) used in non-contact, non-cooperative (i.e. no need for a fixed posture) security, especially in the environment of large passenger flow. This is the dataset used in the experiment in paper"Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on YOLOv3 Algorithm"
DOI: 10.21227/4dn6-t367
title: pmmw_data.rar

description: The PMMW real-time imager, SAIR-U, is developed by Microwave Laboratory of Beihang University, China.It could be (or has been) used in non-contact, non-cooperative (i.e. no need for a fixed posture) security, especially in the environment of large passenger flow. This is the dataset used in the experiment in paper"Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on YOLOv3 Algorithm"
DOI: 10.21227/8261-ek35
title: pmmw_data.rar

description: The PMMW real-time imager, SAIR-U, is developed by Microwave Laboratory of Beihang University, China.It could be (or has been) used in non-contact, non-cooperative (i.e. no need for a fixed posture) security, especially in the environment of large passenger flow. This is the dataset used in the experiment in paper"Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on YOLOv3 Algorithm"
DOI: 10.21227/nxmr-1t18
title: pmmw_data.rar

description: The PMMW real-time imager, SAIR-U, is developed by Microwave Laboratory of Beihang University, China.It could be (or has been) used in non-contact, non-cooperative (i.e. no need for a fixed posture) security, especially in the environment of large passenger flow. This is the dataset used in the experiment in paper"Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on YOLOv3 Algorithm"
DOI: 10.5281/zenodo.3585635
title: Versailles, Platooning

description: Scenario description: Automatic fleet rebalancing from one car sharing station to the other. Operator is driving the first car, following the recommendations of Traffic Light Assist service when approaching intersections. Followers are driving automatically. Session description: Platooning between the two car sharing stations with 3 vehicles. Traffic lights of intersections 422 and 447 are real traffic lights, others are simulated, therefore decisions close to these traffic lights are not relevant. Datasets descriptions: <strong>AUTOPILOT_Versailles_Platooning_Vehicle</strong>: Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during platooning at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), LateralControl: steering and lane control data <strong>AUTOPILOT_Versailles_Platooning_V2X: </strong>V2X messages during platooning sessions This dataset refers to the V2V messages exchanged between the vehicles during the platooning at Versailles. TCPwlan logs contain mainly the identification of sender and receiver and the payload extracted from TCP messages captured on the CAN bus. <strong>AUTOPILOT_Versailles_Platooning_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by platooning application and services, Traffic Light Assist service, traffic light controllers across oneM2M platform.
DOI: 10.5281/zenodo.3585637
title: QM7b (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from qmml.org and quantum-machine.org. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.17632/4rtd6s6v43.1
title: Data for: Ferrostatin-1 mitigates cognitive impairment of epileptic rats by restoring the expression of synaptic proteins via inhibiting P38 MAPK activation

description: This set of data includes the raw data of water maze experiment and the raw data of related protein expression quantity.
DOI: 10.5281/zenodo.3585634
title: Versailles, Platooning

description: Scenario description: Automatic fleet rebalancing from one car sharing station to the other. Operator is driving the first car, following the recommendations of Traffic Light Assist service when approaching intersections. Followers are driving automatically. Session description: Platooning between the two car sharing stations with 3 vehicles. Traffic lights of intersections 422 and 447 are real traffic lights, others are simulated, therefore decisions close to these traffic lights are not relevant. Datasets descriptions: <strong>AUTOPILOT_Versailles_Platooning_Vehicle</strong>: Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during platooning at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), LateralControl: steering and lane control data <strong>AUTOPILOT_Versailles_Platooning_V2X: </strong>V2X messages during platooning sessions This dataset refers to the V2V messages exchanged between the vehicles during the platooning at Versailles. TCPwlan logs contain mainly the identification of sender and receiver and the payload extracted from TCP messages captured on the CAN bus. <strong>AUTOPILOT_Versailles_Platooning_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by platooning application and services, Traffic Light Assist service, traffic light controllers across oneM2M platform.
DOI: 10.5281/zenodo.3564520
title: Research data supporting for "The embedded research librarian: a project partner"

description: This dataset contains the data that supports the following paper: Féret, R. and Cros, M., 2019. The embedded research librarian: a project partner. <em>LIBER Quarterly</em>, 29(1), pp.1–20. DOI: 10.18352/lq.10304 The dataset contains 3 files related to the bibliographic metadata of the publications of the 7 H2020 projects supported by the University Library of Lille and a general file providing the data for the table, figure 2 and 3 and for the data on H2020 projects coordinators: figures: this file contains the information related to the projects supported by the Library, including the data presented in the figure 2 (tab 1), the figure 3 (tab 2), the table 1 (tab 3) and the data on 2020 project coordinators (tab 4). wos_publications : the data extracted from the Web of Science for 106 publications (.txt, UTF-8, Windows), searched on the base of the 7 H2020 projects Cordis number. refined_wos_publications : the same data after having been transformed into a .xlsx format in the tool OpenRefine. processed_publications : contains the main bibliographic data (authors, article title, source title, DOI, date of publication) and their open status. <strong>Abstract of the paper</strong><br> This paper presents new services developed by the Lille University Library for European and National research project coordinators. This is a specific audience that libraries are not used to target, with a widely recognised institutional status and academic background. Supporting them in their coordination activities is an opportunity to gain a new role for libraries, which starts from the design of research at the submission stage and lasts several years after, during the project lifetime. These services help coordinators to meet their funders’ expectations on open access and research data management. It is also a way to develop new collaborations with research units and some university services, such as the Grant Office. The Lille University Library has already supported the writing of forty grant proposals since 2017, including about thirty since early 2019. The Library currently follows twelve projects on open access, research data management or both. This second figure is likely to increase in 2020 due to the number of projects supported at submission stage since the beginning of 2019. The paper describes our set of services and the lessons we learned from our approach.
DOI: 10.5281/zenodo.3564521
title: Research data supporting for "The embedded research librarian: a project partner"

description: This dataset contains the data that supports the following paper: Féret, R. and Cros, M., 2019. The embedded research librarian: a project partner. <em>LIBER Quarterly</em>, 29(1), pp.1–20. DOI: 10.18352/lq.10304 The dataset contains 3 files related to the bibliographic metadata of the publications of the 7 H2020 projects supported by the University Library of Lille and a general file providing the data for the table, figure 2 and 3 and for the data on H2020 projects coordinators: figures: this file contains the information related to the projects supported by the Library, including the data presented in the figure 2 (tab 1), the figure 3 (tab 2), the table 1 (tab 3) and the data on 2020 project coordinators (tab 4). wos_publications : the data extracted from the Web of Science for 106 publications (.txt, UTF-8, Windows), searched on the base of the 7 H2020 projects Cordis number. refined_wos_publications : the same data after having been transformed into a .xlsx format in the tool OpenRefine. processed_publications : contains the main bibliographic data (authors, article title, source title, DOI, date of publication) and their open status. <strong>Abstract of the paper</strong><br> This paper presents new services developed by the Lille University Library for European and National research project coordinators. This is a specific audience that libraries are not used to target, with a widely recognised institutional status and academic background. Supporting them in their coordination activities is an opportunity to gain a new role for libraries, which starts from the design of research at the submission stage and lasts several years after, during the project lifetime. These services help coordinators to meet their funders’ expectations on open access and research data management. It is also a way to develop new collaborations with research units and some university services, such as the Grant Office. The Lille University Library has already supported the writing of forty grant proposals since 2017, including about thirty since early 2019. The Library currently follows twelve projects on open access, research data management or both. This second figure is likely to increase in 2020 due to the number of projects supported at submission stage since the beginning of 2019. The paper describes our set of services and the lessons we learned from our approach.
DOI: 10.5066/p9iby7w6
title: Brook trout toxicity data from bioassays conducted in Western Adirondack Streams, 2001-03 and 2015-17

description: This dataset is composed of a single data table containing survival data and ancillary measurements for brook trout bioassays conducted in streams of the Western Adirondack Mountains during 2001-03 and 2015-17. At each stream site, 4 replicate bottles, each containing five young-of-year brook trout, are exposed to ambient stream waters for approximately one month during spring.
DOI: 10.5281/zenodo.3585642
title: COMP6 (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from https://github.com/isayev/COMP6. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.5281/zenodo.3585647
title: Chapter 4

description: Thesis title: Effects of sedimentary humic acids on endophytic microbiomes: implications and agronomical potential. Supplementary information of Chapter IV: The microbiome of barley root endosphere was modified by the application of sedimentary humic substances under different nitrogen fertilization regimes.
DOI: 10.5281/zenodo.3585648
title: Chapter 4

description: Thesis title: Effects of sedimentary humic acids on endophytic microbiomes: implications and agronomical potential. Supplementary information of Chapter IV: The microbiome of barley root endosphere was modified by the application of sedimentary humic substances under different nitrogen fertilization regimes.
DOI: 10.5281/zenodo.3585653
title: Versailles, Platooning

description: Scenario description: Automatic fleet rebalancing from one car sharing station to the other. Operator is driving the first car, following the recommendations of Traffic Light Assist service when approaching intersections. Followers are driving automatically. Session description: Platooning between the two car sharing stations with 3 vehicles. Only real traffic lights of intersections 422 and 447 are recorded. Datasets descriptions: <strong>AUTOPILOT_Versailles_Platooning_Vehicle</strong>: Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during platooning at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), LateralControl: steering and lane control data <strong>AUTOPILOT_Versailles_Platooning_V2X: </strong>V2X messages during platooning sessions This dataset refers to the V2V messages exchanged between the vehicles during the platooning at Versailles. TCPwlan logs contain mainly the identification of sender and receiver and the payload extracted from TCP messages captured on the CAN bus. <strong>AUTOPILOT_Versailles_Platooning_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by platooning application and services, Traffic Light Assist service, traffic light controllers across oneM2M platform.
DOI: 10.5281/zenodo.3585654
title: Versailles, Platooning

description: Scenario description: Automatic fleet rebalancing from one car sharing station to the other. Operator is driving the first car, following the recommendations of Traffic Light Assist service when approaching intersections. Followers are driving automatically. Session description: Platooning between the two car sharing stations with 3 vehicles. Only real traffic lights of intersections 422 and 447 are recorded. Datasets descriptions: <strong>AUTOPILOT_Versailles_Platooning_Vehicle</strong>: Data generated from the vehicle sensors Vehicle datasets generated by the vehicle sensors during platooning at Versailles. This includes the data coming from the CAN bus and GPS. It includes following kind of datasets: Vehicle: general data (speed, battery), PositioningSystem: data from GPS, VehicleDynamics: data about dynamic (acceleration...), LateralControl: steering and lane control data <strong>AUTOPILOT_Versailles_Platooning_V2X: </strong>V2X messages during platooning sessions This dataset refers to the V2V messages exchanged between the vehicles during the platooning at Versailles. TCPwlan logs contain mainly the identification of sender and receiver and the payload extracted from TCP messages captured on the CAN bus. <strong>AUTOPILOT_Versailles_Platooning_IoT: </strong>Data extracted from IoT oneM2M platform This dataset refers to messages exchanged by platooning application and services, Traffic Light Assist service, traffic light controllers across oneM2M platform.
DOI: 10.18112/openneuro.ds002373.v1.0.0
title: A dataset recording joint EEG-fMRI during affective music listening
DOI: 10.18430/m36uke
title: X-ray diffraction data for the hhaI endonuclease in Complex with Iodine-Labelled DNA (6UKE)
DOI: 10.18430/m36ukf
title: X-ray diffraction data for the hhaI endonuclease in Complex with DNA at 1 Angstrom Resolution (6UKF)
DOI: 10.18430/m36ukg
title: X-ray diffraction data for the hhaI endonuclease in Complex With DNA in space group P21 (pH 4.2) (6UKG)
DOI: 10.5281/zenodo.3585747
title: Catalog of Ptolemy's Geography Book 8

description: <pre>Localities contained in Book 8 of Ptolemy's Geography, based on the German translation published by (@StueckelbergerGrasshoff2006) of the two main textual recensions of the work (Xi and Omega). For a selection of important cities Book 8 of the Geography gives lists the durations of the longest day of the year as well as the distance of their meridian to the reference meridian through Alexandria (Egypt) in hours and fractions of hours. </pre>
DOI: 10.5281/zenodo.3585748
title: Catalog of Ptolemy's Geography Book 8

description: <pre>Localities contained in Book 8 of Ptolemy's Geography, based on the German translation published by (@StueckelbergerGrasshoff2006) of the two main textual recensions of the work (Xi and Omega). For a selection of important cities Book 8 of the Geography gives lists the durations of the longest day of the year as well as the distance of their meridian to the reference meridian through Alexandria (Egypt) in hours and fractions of hours. </pre>
DOI: 10.5281/zenodo.3585753
title: GDB13-T (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from data.caltech.edu. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.15468/oalih2
title: Cladistics and revision of Alitocoris with considerations on the phylogeny of the Herrichella clade (Hemiptera, Pentatomidae, Discocephalinae, Ochlerini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Thereza De A. Garbelotto *, Luiz A. Campos and Jocelia Grazia (2013): Cladistics and revision of Alitocoris with considerations on the phylogeny of the Herrichella clade (Hemiptera, Pentatomidae, Discocephalinae, Ochlerini). Zoological Journal of the Linnean Society 168: 452-472, DOI: 10.1111/zoj.12032
DOI: 10.5281/zenodo.3585757
title: Catalog of Ptolemy's Geography, main books

description: Ptolemy's geographical catalog, covering the localities of the world<br> (Geography 2.2.1 to 7.4.13), of the two main textual recensions of the work (Xi and Omega),<br> based on the German translation published by (@StueckelbergerGrasshoff2006). The database<br> contains localities and names of peoples, provinces, lands, seas or mountains, whether<br> they have coordinates or not. The coordinates of the Xi recension follow the readings of the<br> Vaticanus gr. 191, as they are edited in the main text together with the critical apparatus<br> by the editors.
DOI: 10.5281/zenodo.3585758
title: Catalog of Ptolemy's Geography, main books

description: Ptolemy's geographical catalog, covering the localities of the world<br> (Geography 2.2.1 to 7.4.13), of the two main textual recensions of the work (Xi and Omega),<br> based on the German translation published by (@StueckelbergerGrasshoff2006). The database<br> contains localities and names of peoples, provinces, lands, seas or mountains, whether<br> they have coordinates or not. The coordinates of the Xi recension follow the readings of the<br> Vaticanus gr. 191, as they are edited in the main text together with the critical apparatus<br> by the editors.
DOI: 10.5281/zenodo.3585764
title: QM9 (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from https://figshare.com/collections/Quantum_chemistry_structures_and_properties_of_134_kilo_molecules/978904. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.5281/zenodo.3585770
title: QM7b-T (QCArchive View Formatted)

description: Data curated by the QCArchive team, originally sourced from data.caltech.edu. For more information, see http://qcarchive.molssi.org/apps/TODO.
DOI: 10.25345/c5f38m
title: MassIVE MSV000084727 - Cerebral organoids model neocortical development disrupted by 16p11.2 CNV in autism
title: The 16p11.2 is the most common copy number variant (CNV) associated with Autism Spectrum Disorder (ASD). We used patient-derived cerebral organoids to investigate neurodevelopmental pathways dysregulated by dosage changes of 16p11.2 CNV. To investigate molecular dysregulation in DEL and DUP organoids, we carried out RNA sequencing and Tandem Mass Tag mass spectrometry (TMT-MS) on 1-month and 3-month organoids from the same samples. In proteomic analyses, we quantified a total of 6126 proteins in 1-month and 5481 proteins in 3-month organoids, with 13 and 11 proteins from within 16p11.2 CNV, respectively. Transcriptomic and proteomic profiling of organoids identifies the key drivers of functional effect by 16p11.2 CNV during neocortical development.
DOI: 10.25919/5dfbbe7a24a04
title: CCS - MV Seca 2018 V01 RUV -RAW FILES-

description: Project Overview: A range of solutions will be required to reach globally agreed emissions reductions targets for carbon dioxide (CO2). Carbon capture and storage (CCS) is part of the suite of technologies that will contribute to lowering atmospheric emissions of CO2 from Australia's energy system. There are a wide variety of technologies at various stages of technical and commercial readiness, with more development underway for cost effective CO2 capture and storage. Our research will provide new knowledge to inform cost-efficient measurement, monitoring and verification (MMV) of the environment of CCS projects in coastal waters. --o-- Two remote stereo underwater video RUV units were built and supplied by SeaGIS Pty. Ltd. (www.seagis.com.au). The RUV systems consisted of a pair of GoPro Hero 5 cameras mounted inside waterproof housings that were fitted to a stainless steel frame. The frames were supplied with breakaway legs, so that the units could be reliably retrieved in the event of fouling on the seabed. Breakaway legs also enabled ballast to be readily adjusted to suit the prevailing conditions. To aid in the deployment and recovery of the RUV units, each unit was attached to a surface buoy with 8 mm rope. NOTE: RAW image and video files only