cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/7otrcy/efah9k
title: Aegosoma scabricorne.JPG

description: :unav
DOI: 10.48370/ofd/7otrcy
title: Akimerus berchmansi (Breit, 1915), C-627

description: Coleoptera collection
DOI: 10.5281/zenodo.6375561
title: Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids

description: Source data and source code for the graphs in "Spatiotemporal dynamics of self-organized branching pancreatic cancer-derived organoids".
DOI: 10.48370/ofd/g8nbb2/f1lmbt
title: Akimerus berchmansi.JPG

description: :unav
DOI: 10.48370/ofd/g8nbb2
title: Akimerus berchmansi (Breit, 1915), C-628

description: Coleoptera collection
DOI: 10.21227/c6kb-r494
title: Fault Identification using Fault Injection with Domain Knowledge-Guided Reinforcement Learning

description: Safety assessment of Cyber-Physical Systems (CPS) requires a tremendous amount of effort as the complexity of cyber-physical systems is increasing. A well-known approach for the safety assessment of CPS is Fault Injection (FI). The goal of fault injection is to find a catastrophic fault that can fail the system by injecting faults into it. These catastrophic faults are less likely to happen, and finding it requires tremendous labor and cost. In this paper, we propose a Reinforcement Learning (RL)-based method to configure faults in the system under test automatically and find unknown faults. Reinforcement learning is a machine learning algorithm that learns by integrating dynamically with the environment. The proposed method provides a guideline to utilize high-level domain knowledge about the system under test for constructing the reinforcement learning agent and fault injection campaign. We mainly use the system (safety) specification to shape the reward function in the reinforcement learning agent. The reinforcement learning agent interacts with the system under test to find unknown faults. We test the proposed method on two use cases: adaptive cruise control and autonomous emergency braking in MATLAB/Simulink. We compare the proposed method with random-based fault injection. Our proposed method outperforms random-based FI in terms of severeness and number of found faults.
DOI: 10.5285/281e698f-0f1a-46fe-a13c-dece55f9f052
title: GPS and Time-Depth Recorder tracking of Adelie and Chinstrap penguins from Signy Island 2008

description: Adelie and Chinstrap penguins were fitted with a combined GPS and time-depth recorder (TDR) tags for between two and fourteen days in order to log their three-dimensional foraging trips. Tags were deployed between December and February of 2008 with a total of 19 Adelie penguin tracks and 35 Chinstrap penguin tracks.
description: The birds were fitted with Fastloc2 GPS loggers (Sirtrack, Havelock, New Zealand) paired with CEFAS G5 TDRs (CEFAS Technology Ltd, Lowestoft, UK) whose clocks were synchronised in other years. Dive statistics from the TDR tracks were extracted using the R package diveMove (Luque, 2016 - diveMove: Dive Analysis and Calibration. R package version 1.4.1. https://cran.r-project.org/package=diveMove). The filter method of zero offset correction within diveMove (Luque & Fried, 2011 PLOS ONE, 6(1), e15850) was used to define the sea-surface and a depth threshold of 5m was used to exclude any non-foraging dive events (Kokubun, Takahashi, Mori, Watanabe, & Shin, 2010 doi:10.1007/s00227-009-1364-1).
DOI: 10.5281/zenodo.5838139
title: Data for Imaging tunable quantum Hall broken-symmetry orders in graphene

description: Data plots in spreadsheet form
DOI: 10.5281/zenodo.5838138
title: Data for Imaging tunable quantum Hall broken-symmetry orders in graphene

description: Data plots in spreadsheet form
DOI: 10.25919/v1xf-0h06
title: Parkes observations for project P1141 semester 2021OCTS_06

description: Radio giant pulses (GPs) have been observed since the discovery of the Crab pulsar more than 50 years ago. Nevertheless the origins of this apparently irregular form of radio emission are still not understood. While their characteristics indicate the existence of a coherent emission mechanism, the search for an incoherent emission component via multi-wavelength correlation studies provides one way to identify potential emission regions in the magnetosphere of the pulsar. With the present proposal, we address the radio GP emission from PSR J0540-6919 (the Crab twin) and seek to search for a correlation with its X-ray emission. A recent study of this kind for the Crab pulsar proved to be successful (Enoto et al.\,2021). Our proposed study is to the best of our knowledge the first of its kind together with the Neutron Star Interior Composition ExploreR (NICER) for this particular source and will shed light on the question of whether correlations with X-ray emission are a characteristic of ordinary pulsars with radio GP emission. Such knowledge will be useful in unraveling whether there are different populations of radio GPs in the case of ordinary and millisecond pulsars.
DOI: 10.5281/zenodo.6373153
title: Data Set related to Synaptic inhibition in the lateral habenula shapes reward anticipation.

description: The lateral habenula (LHb) supports learning processes enabling the prediction of upcoming rewards. While reward-related stimuli decrease the activity of LHb neurons, whether this anchors on synaptic inhibition to guide reward-driven behaviors remains poorly understood. Here, we combine in vivo two-photon calcium imaging with Pavlovian conditioning in mice and report that anticipatory licking emerges along with decreases in cue-evoked calcium signals in individual LHb neurons. In vivo multiunit recordings and pharmacology reveal that the cue-evoked reduction in LHb neuronal firing relies on GABA<sub>A</sub>-receptor activation. In parallel, we observe a postsynaptic potentiation of GABA<sub>A</sub>-receptor-mediated inhibition, but not excitation, onto LHb neurons together with the establishment of anticipatory licking. Finally, strengthening or weakening postsynaptic inhibition with optogenetics and GABA<sub>A</sub>-receptor manipulations enhances or reduces anticipatory licking, respectively. Hence, synaptic inhibition in the LHb shapes reward anticipation.
DOI: 10.5281/zenodo.6373152
title: Data Set related to Synaptic inhibition in the lateral habenula shapes reward anticipation.

description: The lateral habenula (LHb) supports learning processes enabling the prediction of upcoming rewards. While reward-related stimuli decrease the activity of LHb neurons, whether this anchors on synaptic inhibition to guide reward-driven behaviors remains poorly understood. Here, we combine in vivo two-photon calcium imaging with Pavlovian conditioning in mice and report that anticipatory licking emerges along with decreases in cue-evoked calcium signals in individual LHb neurons. In vivo multiunit recordings and pharmacology reveal that the cue-evoked reduction in LHb neuronal firing relies on GABA<sub>A</sub>-receptor activation. In parallel, we observe a postsynaptic potentiation of GABA<sub>A</sub>-receptor-mediated inhibition, but not excitation, onto LHb neurons together with the establishment of anticipatory licking. Finally, strengthening or weakening postsynaptic inhibition with optogenetics and GABA<sub>A</sub>-receptor manipulations enhances or reduces anticipatory licking, respectively. Hence, synaptic inhibition in the LHb shapes reward anticipation.
DOI: 10.5281/zenodo.6372562
title: Dataset Activation of Lactate Receptor HCAR1 Down-modulates Neuronal Activity in Rodent and Human Brain Tissue

description: This dataset is related to the study: Briquet M, Rocher AB, Alessandri M, Rosenberg N, de Castro Abrantes H, Wellbourne-Wood J, Schmuziger C, Ginet V, Puyal J, Pralong E, Daniel RT, Offermanns S, Chatton JY. Activation of lactate receptor HCAR1 down-modulates neuronal activity in rodent and human brain tissue. J Cereb Blood Flow Metab. 2022 Mar 3:271678X221080324. doi: 10.1177/0271678X221080324. Epub ahead of print. PMID: 35240875.
DOI: 10.5281/zenodo.6372561
title: Dataset Activation of Lactate Receptor HCAR1 Down-modulates Neuronal Activity in Rodent and Human Brain Tissue

description: This dataset is related to the study: Briquet M, Rocher AB, Alessandri M, Rosenberg N, de Castro Abrantes H, Wellbourne-Wood J, Schmuziger C, Ginet V, Puyal J, Pralong E, Daniel RT, Offermanns S, Chatton JY. Activation of lactate receptor HCAR1 down-modulates neuronal activity in rodent and human brain tissue. J Cereb Blood Flow Metab. 2022 Mar 3:271678X221080324. doi: 10.1177/0271678X221080324. Epub ahead of print. PMID: 35240875.
DOI: 10.5285/1f69fba3-4c62-47ad-8119-08cfeec05e46
title: Ice motion measurements, south-west Greenland Ice Sheet (version 2)

description: From May 2009 to May 2013, seven dual-frequency GPS receivers were 
        deployed along a 120 km-long transect in the south-west of the 
        Greenland Ice Sheet. Two additional dual-frequency GPS receivers 
        were deployed perpendicular to longitudinal ice flow at ~14 km 
        inland: one 5 km distant from June 2011 to May 2013, and another 
        2.5 km distance from May 2012 to May 2013. Each receiver recorded 
        position observations every 10 seconds or 30 seconds (depending on 
        configuration), enabling resolution of horizontal and vertical ice 
        motion. Sites were powered by solar panels and operated 24 hours a 
        day during summer but shut down in the autumn. Absolute ice 
        displacements at each site were obtained for each summer and winter 
        period in the absence of continuous measurements. Position 
        measurements were kinematically corrected relative to an off-ice base 
        station using TRACK (Chen, 1999). Daily velocities were then obtained 
        by differencing across 24-hour periods, whilst continuous velocities 
        were obtained through application of a sliding 6-hour differencing window.
        
        At each GPS site we also measured 
        (1) the near-surface air temperature every 15 minutes year-round, 
        (2) net seasonal ablation using ablation stakes, and 
        (3) at several selected sites melt rates using sonic ranging sensors.
        
        This version 2 of the dataset updates the previously 2-day temporal resolution 
        of the ice motion records to 1-day resolution. In other respects the dataset has not changed.
DOI: 10.48370/ofd/z9kib2/qlbxh1
title: Akimerus schaefferi.JPG

description: :unav
DOI: 10.48370/ofd/z9kib2
title: Dąbrowiec samotnik (Akimerus schaefferi (Laicharting, 1784)), C-629

description: Coleoptera collection
DOI: 10.1285/i9788883051821
title: Elementi di Analisi Funzionale Lineare - Seconda edizione riveduta e ampliata
DOI: 10.1285/i9788883051821pi
title: Frontespizio
DOI: 10.1285/i9788883051821p1
title: Pagine iniziali
DOI: 10.1285/i9788883051821p3
title: Prefazione
DOI: 10.1285/i9788883051821p7
title: Indice
DOI: 10.6084/m9.figshare.19397528
title: Supporting data

description: Supporting data of the GCB Bioenergy manuscript "<strong>Investigating applied drought in <i>Miscanthus sinensis</i>; sensitivity, response mechanisms, and subsequent recovery</strong><strong>"</strong>
DOI: 10.6084/m9.figshare.19397528.v1
title: Supporting data

description: Supporting data of the GCB Bioenergy manuscript "<strong>Investigating applied drought in <i>Miscanthus sinensis</i>; sensitivity, response mechanisms, and subsequent recovery</strong><strong>"</strong>
DOI: 10.1285/i9788883051821p11
title: Spazi di Banach
DOI: 10.1285/i9788883051821p43
title: Spazi di Hilbert
DOI: 10.1285/i9788883051821p67
title: Spazio duale. Convergenze (sequenziali) debole e debole*
DOI: 10.1285/i9788883051821p81
title: Teoremi di estensione per funzionali lineari, lineari limitati e conseguenze
DOI: 10.1285/i9788883051821p113
title: Teoria di Fredholm. Teorema spettrale di Hilbert-Schmidt
DOI: 10.1285/i9788883051821p189
title: Principi del max-min. Teoria di Sturm-Liouville
DOI: 10.1285/i9788883051821p241
title: Teoria dei Semigruppi fortemente continui
DOI: 10.1285/i9788883051821p257
title: Applicazione a due prototipi dei problemi evolutivi relativi all'Equazione del calore e all'Equazione delle onde
DOI: 10.1285/i9788883051821p283
title: Bibliografia
DOI: 10.34943/cfc5dadd-9532-4af2-a3ad-cd700e6a5f9a
title: Baynes Sound Carbon Dioxide Sensor Deployed 2022-03-16

description: The Pro-Oceanus CO2-Pro CV (SN 39-598-75) was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/cb21a9b2-7288-4e56-bca2-45a0738d956f
title: Baynes Sound Junction Box Deployed 2022-03-16

description: The Signal Combiner Unit V2 07 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.6375600
title: HIPE-2022 Shared Task Named Entity Datasets

description: HIPE-2022 datasets used for the HIPE 2022 shared task on <strong>named entity recognition and classification (NERC) and entity linking (EL) in multilingual historical documents</strong>. HIPE-2022 datasets are based on six primary datasets assembled and prepared for the shared task. Primary datasets are composed of historical newspapers and classic commentaries covering ca. 200 years, feature several languages and different entity tag sets and annotation schemes. They originate from several European cultural heritage projects, from HIPE organizers’ previous research project, and from the previous HIPE-2020 campaign. Some are already published, others are released for the first time for HIPE-2022. The HIPE-2022 shared task assembles and prepares these primary datasets in HIPE-2022 release(s), which correspond to a single package composed of neatly structured and homogeneously formatted files. Primary datasets undergo the following preparation steps: conversion to the HIPE format (with correction of data inconsistencies and metadata consolidation); rearrangement or composition of train and dev splits. Please also refer to: HIPE-2022 shared task website: https://hipe-eval.github.io/HIPE-2022/ HIPE-2022 data repository: https://github.com/hipe-eval/HIPE-2022-data Here is an overview of the primary datasets: <strong>Dataset alias</strong> <strong>Readme</strong> <strong>Document type</strong> <strong>Languages</strong> <strong>Suitable for</strong> <strong>Project</strong> hipe2020 link historical newspapers de, fr, en NERC-Coarse, NERC-Fine, EL CLEF-HIPE-2020 newseye link historical newspapers de, fi, fr, sv NERC-Coarse, NERC-Fine, EL NewsEye sonar link historical newspapers de NERC-Coarse, EL SoNAR letemps link historical newspapers fr NERC-Coarse, NERC-Fine LeTemps topres19th link historical newspapers en NERC-Coarse, EL Living with Machines ajmc link classical commentaries de, fr, en NERC-Coarse, NERC-Fine, EL AjMC The HIPE-2022 team expresses her greatest appreciation to the partnering projects, namely AJMC, <em>impresso, </em>HIPE-2020, <em>Living with Machines</em>, <em>NewsEye</em>, and <em>SoNAR</em>, for contributing their NE-annotated datasets (and hiding a part thereof for the time of the evaluation campaign).
description: New releases are planned. Check the HIPE-2022 website for updates.
DOI: 10.34943/b0fc34c0-9307-43c9-9c5b-1776613b5c85
title: Baynes Sound Oxygen Sensor Deployed 2022-03-16

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 632516 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/bfad300d-d96b-4406-9ec4-3a8384431c02
title: Baynes Sound Oxygen Sensor Deployed 2022-03-16

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 632517 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/5cd78926-bd73-4002-bb41-ba1ff91a92ee
title: Baynes Sound pH Sensor Deployed 2022-03-16

description: The Sea-Bird SeaFET V2 pH (SN 2144) was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a pH Sensor. pH sensors measure the acidity, or alkalinity, of sea water by the concentration of hydrogen ions in the water column. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/992bbff7-a3c4-4268-b69e-9c1ddd43825b
title: Baynes Sound Conductivity Temperature Depth Deployed 2022-03-16

description: The Sea-Bird SeaCAT SBE19plus V2 5047 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.48370/ofd/sjsmha/urp2np
title: Akimerus schaefferi (2).JPG

description: :unav
DOI: 10.48370/ofd/sjsmha
title: Dąbrowiec samotnik (Akimerus schaefferi (Laicharting, 1784)), C-630

description: Coleoptera collection
DOI: 10.34943/2320dd58-52ea-483d-9d19-9633f9903119
title: Baynes Sound Conductivity Temperature Depth Deployed 2022-03-16

description: The Sea-Bird SeaCAT SBE19plus V2 5270 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/caaa8475-a0f5-4f67-b408-ec740e2167b6
title: Baynes Sound Carbon Dioxide Sensor Deployed 2022-03-16

description: The Pro-Oceanus CO2-Pro CV (SN 36-323-75) was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4423b09c-db9b-4e00-bb44-a28382a5e3d7
title: Baynes Sound Junction Box Deployed 2022-03-16

description: The Signal Combiner Unit V2 08 was deployed on 2022-03-16 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5285/77fe7925-ba00-4771-8f80-dbc9cae61e3b
title: Water column acoustic data collected from 2014-09-27 to 2014-11-02 during cruise JR303 in the Atlantic Ocean

description: Water column acoustic data collected in the Atlantic Ocean (from 2014-09-27 to 2014-11-02) during cruise JR303. 
Multi-frequency (38,120 and 200 kHz) acoustic data were collected using a Simrad EK60 echo sounder. The dataset comprises of calibrated and processed 38 kHz volume backscattering strength (Sv, dB re 1m-1). Data processing was undertaken using Echoview and Matlab. Processed netCDF data files are made available as part of the NERC Southern Ocean Network of Acoustics (SONA) and the EU MESOPP project.
DOI: 10.5285/0d91e287-698e-44c3-81c3-9c958f59eb02
title: Water column acoustic data collected from 2013-11-15 to 2013-12-18 during cruise JR291 in the Scotia Sea

description: Water column acoustic data collected in the Scotia Sea (from 2013-11-15 to 2013-12-18) during cruise JR291. 
Multi-frequency (38,120 and 200 kHz) acoustic data were collected using a Simrad EK60 echo sounder. The dataset comprises of calibrated and processed 38 kHz volume backscattering strength (Sv, dB re 1m-1). Data processing was undertaken using Echoview and Matlab. Processed netCDF data files are made available as part of the NERC Southern Ocean Network of Acoustics (SONA) and the EU MESOPP project.
DOI: 10.5285/4c7ab3d4-ac29-43d7-bbbc-cdbfd66ccc54
title: Water column acoustic data collected from 2011-12-30 to 2012-01-16 during cruise JR260 in the Scotia Sea

description: Water column acoustic data collected in the Scotia Sea (from 2011-12-30 to 2012-01-16) during cruise JR260. 
Multi-frequency (38,120 and 200 kHz) acoustic data were collected using a Simrad EK60 echo sounder. The dataset comprises of calibrated and processed 38 kHz volume backscattering strength (Sv, dB re 1m-1). Data processing was undertaken using Echoview and Matlab. Processed netCDF data files are made available as part of the NERC Southern Ocean Network of Acoustics (SONA) and the EU MESOPP project.