cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25283647
title: Human-autonomy collaboration in supervisory risk control of autonomous ships

description: This paper presents a method for developing and testing a risk-based control system, as a first step towards including the human supervisor explicitly in the design of the system. The result is a control system with improved decision-making capabilities compared to existing control systems. The methodology presented in the paper uses the Systems Theoretic Process Analysis (STPA) to analyse the risks of an autonomous ship within its concept of operations (CONOPS), and a Human-STPA (H-STPA) is used to analyse human responsibilities and involvement. The STPA results are then used to construct a Bayesian belief network (BBN)-based risk model to assess the operational risk of the ship. This is represented as a risk cost, describing the expected cost of consequences caused by potential hazardous events. This cost is combined with fuel costs, operations costs, and the potential loss of income if new missions are not undertaken using a supervisory risk controller (SRC). The SRC is capable of making decisions about how the ship should be safely operated and notifies the human supervisor in due time when it is necessary for them to take control. The last part of the methodology presented in this paper is testing the control system using a set of verification objectives based on results from the STPA and H-STPA. A case study involving an autonomous cargo ship with a human supervisor located in a remote operation center (ROC) is included; it shows that the proposed control system can operate the ship safely in different conditions and situations. By designing the SRC to notify the human supervisor before it reaches its operational limit, the ship is able to operate in a wider range of conditions compared to when just the autonomous control system is in charge. Hence, the proposed methodology shows promising results and provides useful insights related to shared control for autonomous ships.
DOI: 10.6084/m9.figshare.25283647.v1
title: Human-autonomy collaboration in supervisory risk control of autonomous ships

description: This paper presents a method for developing and testing a risk-based control system, as a first step towards including the human supervisor explicitly in the design of the system. The result is a control system with improved decision-making capabilities compared to existing control systems. The methodology presented in the paper uses the Systems Theoretic Process Analysis (STPA) to analyse the risks of an autonomous ship within its concept of operations (CONOPS), and a Human-STPA (H-STPA) is used to analyse human responsibilities and involvement. The STPA results are then used to construct a Bayesian belief network (BBN)-based risk model to assess the operational risk of the ship. This is represented as a risk cost, describing the expected cost of consequences caused by potential hazardous events. This cost is combined with fuel costs, operations costs, and the potential loss of income if new missions are not undertaken using a supervisory risk controller (SRC). The SRC is capable of making decisions about how the ship should be safely operated and notifies the human supervisor in due time when it is necessary for them to take control. The last part of the methodology presented in this paper is testing the control system using a set of verification objectives based on results from the STPA and H-STPA. A case study involving an autonomous cargo ship with a human supervisor located in a remote operation center (ROC) is included; it shows that the proposed control system can operate the ship safely in different conditions and situations. By designing the SRC to notify the human supervisor before it reaches its operational limit, the ship is able to operate in a wider range of conditions compared to when just the autonomous control system is in charge. Hence, the proposed methodology shows promising results and provides useful insights related to shared control for autonomous ships.
DOI: 10.6084/m9.figshare.23500355.v2
title: Depression in times of a pandemic – the impact of COVID-19 on the lay discourses of e-mental health communities

description: The article aims at exploring the impact of the COVID-19 pandemic on the lay discourses of depression emerging in online mental health forums. The narrative framing of depression plays a central role not only because it affects the instrumental strategies of depressed people (e.g., preferred therapy), but also because it is a constitutive element of the identity of depressed people, thus affects the process of recovery itself. COVID-19 had a serious impact on people living with mental disorders (especially depression and anxiety), thus our research aimed at mapping the consequences of these transformations on a discursive level. A textual dataset of English language online health forums was collected (<i>n</i> = 339,550 publicly available entries posted between 15 February 2016 and 31 December 2020). Structural topic modelling was used to explore the various discursive patterns characterizing the pre-pandemic and pandemic era. Our results show that the pandemic did not take over the discursive space of depression forums, yet it transformed many aspects of it: a new horizon of critique opened up; the biomedical authority was reinforced; the ego-centric perspectives were refined; the previously unquestionable discursive frames become fragmented; and the horizon of emergency overshadowed the previous risk perspective.
DOI: 10.48597/pfv9-6mju
title: Measurement of Aerosol_absorption_coefficient at Summit

description: Measurement of Aerosol_absorption_coefficient at Summit
DOI: 10.48597/pjcb-6dwg
title: Measurement of Aerosol light scattering at Bondville

description: Measurement of Aerosol light scattering at Bondville
DOI: 10.6084/m9.figshare.25367580
title: A systems approach to hazard identification for solar-powered and wave-propelled unmanned surface vehicle

description: Decarbonization is a trend in the maritime industry and may include the use of alternative energy sources on ships. At the same time, autonomous ships are under development. In the future, the two technologies may be combined. The objective of this study is to identify possible hazards related to the operation of autonomous vessels using green energy sources. An extended and holistic Systems-Theoretic Process Analysis (STPA) based approach is proposed, where both safety and security is considered. Changes in level of autonomy during operation are considered, and an extension of the STPA method is proposed to highlight the interaction between the system and external energy source. A solar-powered and wave-propelled unmanned surface vehicle is analysed. The results show that mission performance may be affected by both safety and security issues, and that considering influences from the environment and the autonomous functionalities of the system together, contributes to identifying hazards. The results are compared to operational experience from multiple field campaigns. The case study focuses on a relatively simple autonomous vehicle, but some functionalities may be shared with Maritime Autonomous Surface Ships (MASS). Hence, implications for utilisation of alternative energy sources on MASS, and effects on risks, are discussed.
DOI: 10.6084/m9.figshare.25367580.v1
title: A systems approach to hazard identification for solar-powered and wave-propelled unmanned surface vehicle

description: Decarbonization is a trend in the maritime industry and may include the use of alternative energy sources on ships. At the same time, autonomous ships are under development. In the future, the two technologies may be combined. The objective of this study is to identify possible hazards related to the operation of autonomous vessels using green energy sources. An extended and holistic Systems-Theoretic Process Analysis (STPA) based approach is proposed, where both safety and security is considered. Changes in level of autonomy during operation are considered, and an extension of the STPA method is proposed to highlight the interaction between the system and external energy source. A solar-powered and wave-propelled unmanned surface vehicle is analysed. The results show that mission performance may be affected by both safety and security issues, and that considering influences from the environment and the autonomous functionalities of the system together, contributes to identifying hazards. The results are compared to operational experience from multiple field campaigns. The case study focuses on a relatively simple autonomous vehicle, but some functionalities may be shared with Maritime Autonomous Surface Ships (MASS). Hence, implications for utilisation of alternative energy sources on MASS, and effects on risks, are discussed.
DOI: 10.48597/pwhx-xpx8
title: Measurement of Aerosol light scattering at Barrow

description: Measurement of Aerosol light scattering at Barrow
DOI: 10.48597/q6av-78av
title: Measurement of Aerosol light scattering at Barrow

description: Measurement of Aerosol light scattering at Barrow
DOI: 10.48597/qfqm-n3wy
title: Measurement of Aerosol light scattering at Bondville

description: Measurement of Aerosol light scattering at Bondville
DOI: 10.48597/rb79-afyw
title: Measurement of Aerosol light scattering at Barrow

description: Measurement of Aerosol light scattering at Barrow
DOI: 10.48597/rtq2-3t57
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/ru6u-sung
title: Measurement of Aerosol light scattering at Barrow

description: Measurement of Aerosol light scattering at Barrow
DOI: 10.48597/ry6v-q423
title: Measurement of Pressure at Summit

description: Measurement of Pressure at Summit
DOI: 10.48597/smy6-q5vn
title: Measurement of Aerosol_absorption_coefficient at Bondville

description: Measurement of Aerosol_absorption_coefficient at Bondville
DOI: 10.48597/spft-cm5m
title: Measurement of Aerosol_absorption_coefficient at Summit

description: Measurement of Aerosol_absorption_coefficient at Summit
DOI: 10.15468/dl.x2m5tn
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geocapromys ingrahami (J.A.Allen, 1891))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074154-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv9bkm
title: Occurrence Download

description: A dataset containing 5212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Saltator coerulescens Vieillot, 1817"
 ]
}

 The dataset includes 5212 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0346013-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk6x22
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus deickianus Bornm."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074159-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7mynw
title: Occurrence Download

description: A dataset containing 7539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psathyrella piluliformis (Bull.) P.D.Orton, Cystoagaricus sylvestris (Gillet) Örstadius & E.Larss.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 7539 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250523-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10660080
title: Single Cell Preterm Dataset

description: The dataset is a CyTOF preterm women dataset, which collected 42 thousand cells across 36 dimensions from 42 samples\cite{peterson2021single}. The patients ranged from 17 preterm women and 25 term women, which is defined as the predicted label. The covariate of the preterm dataset includes gestational age, history of miscarriage, and the record of preeclampsia. 

Here is the file structure that fits in CytoCo-set input format (symbol "X(____)X" defined as file name describe):

data folder



csv_info.csv

filenames_X(trials_number)X.json

preterm_csv



all



X(sample_file_name)X.csv

test_labels_X(trials_number)X.csv

train_labels_X(trials_number)X.csv



marker.csv



tripletlists_X(covariate)X_X(trials_number)X



X(covariate)X_tripletlist_subpick_test_rffX(medianpooling_or_maxpooling)X_sameX(same_threhold_percange)X_diffX(diff_threhold_percange)X.txt

X(covariate)X_tripletlist_subpick_trainval_rffX(medianpooling_or_maxpooling)X_sameX(same_threhold_percange)X_diffX(diff_threhold_percange)X.txt




 

The dataset uploaded all the sample's raw features data (csv file in "all" file) and some file examples. csv_info.csv records all sample's true labels and covariates.
DOI: 10.15468/dl.4f75s6
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psathyrella sphagnicola (Maire) J.Favre)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 105 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250532-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7z43xp
title: Occurrence Download

description: A dataset containing 11450 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis foliosa L."
 ]
}

 The dataset includes 11450 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065900-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukxub3
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pedicularis glabra Mc Vaugh & Mellich."
 ]
}

 The dataset includes 57 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065923-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xspp8s
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelobates balcanicus Karaman, 1928",
 "Year 1990-2021"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088455-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5jerv
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinodontium tinctorium (Ellis & Everh.) Ellis & Everh.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 25 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111116-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3w3rc
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Elaphrus aureus P.Müller, 1821",
 "Country is one of (Switzerland)"
 ]
}

 The dataset includes 232 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0346005-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bg322
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Isolobodon montanus (Miller, 1922))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074168-230224095556074/datasets/export for details.
DOI: 10.15468/dl.33akfp
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eilema lutarella Linnaeus, 1758",
 "Country is one of (Switzerland)"
 ]
}

 The dataset includes 332 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345999-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s53qgf
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Southern right whales distribution in Bahía Nueva, Puerto Madryn, Argentina"
 ]
}

 The dataset includes 725 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163136-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb2cye
title: Occurrence Download

description: A dataset containing 19669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinaster Aiton",
 "Geometry POLYGON((-17 31,-17 47,11 47,11 31,-17 31))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19669 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003438-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzee28
title: Occurrence Download

description: A dataset containing 12993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Geometry POLYGON((-104.40331 19.77879,-102.40931 19.77879,-102.40931 21.58553,-104.40331 21.58553,-104.40331 19.77879))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Lepidoptera, Odonata, Apidae)",
 "Year 2000-2023"
 ]
}

 The dataset includes 12993 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163115-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnvemk
title: Occurrence Download

description: A dataset containing 24360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lynx lynx (Linnaeus, 1758)"
 ]
}

 The dataset includes 24360 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022685-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0tulnb
title: Occurrence Download

description: A dataset containing 7705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinopterygii",
 "Country is China",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1949"
 ]
}

 The dataset includes 7705 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003438-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmsawv
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clonophis kirtlandii (Kennicott, 1856)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 2020",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109163-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.