cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22771184.v1
title: Camera trap summary - Cocha Cashu Biological Station, Manu National Park, Peru

description: This dataset has camera trap station ID's as rows and camera trap set up and species record summaries as columns: <br> n_species = The total number of species captured at the camera station during the camera trapping period. setup_date = The date the camera trap was installed and turned on. first_image = The date the first image was taken. last_image = The date the last image was taken. retreival_date = The date the camera trap was turned off and taken down. n_nights_total = The total number of nights the camera trap was out in the field. n_nights_active = The total number of nights the camera trap was operational in the field. n_cameras = The number of camera traps at the camera station. species = Species captured (common names), including birds. n_events = The total number of independent capture events of the species. relabund = The relative abundance of the species. <br> Data was collected using camera traps in Manu National Park, Madre de Dios, Peru at Cocha Cashu Biological Station (2019, July-August, dry season). Camera ID codes include code "CT_No." , for single traps or "Name_PCT" for paired traps. Single traps were spaced 500m in a regular grid, and paired traps were placed inside the grid originally part of an individual jaguar identification study. Traps were installed 30 - 60 cm above the ground on a tree on access trails and were active for 24 hrs/day. Trapping effort was 1,312 trap nights. <br> Independent species capture events, dates, and times were extracted in R statistical programming language using the Camtrap R package. Photos of the same species within the same hour were excluded to maintain independent capture events. The relative abundance for each species was calculated as the number of independent capture events divided by the total number of nights each camera was active and then the result was multiplied by 100.
DOI: 10.35078/na1qxv
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Viçosa

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.25919/1fq1-mk04
title: Parkes observations for project P885 semester 2023APRS_01

description: We request a continued modest monitoring cadence of once every 10 days for two radio magnetars, to track their rotation, flux density, and polarisation. 1E 1547.0-5408 has just suffered a 'hiccup' in radiative properties as well as in its rotation, and the near-term response to this event remains unclear. Swift J1818.0-1607 remains quite dynamic, and the unique UWL capabilities promise new opportunities to probe still mysterious radio emission mechanisms in magnetars. We will observe XTE J1810-197 and PSR J1622-4950, which has just ceased emission, less frequently. The overall request is 18 hours.
DOI: 10.15132/10000199
title: Climate change risk to raw water quality data set 3: Water quality (TOC, Iron, Manganese, Turbidity & Colour)

description: The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains concentrations of total organic carbon (TOC), iron, manganese, turbidity, and colour from routine soure water sampling from Scottish Water between 2011 and 2016.

Permission to reuse these data needs to be sought from Scottish Water.
DOI: 10.6084/m9.figshare.19342054
title: ‘Keep moving, but carefully’: back pain beliefs among NHS staff

description: Back pain (BP) is a major cause of absenteeism in National Health Service (NHS) staff in the UK. However, the back beliefs of NHS staff with BP are unknown. To explore the BP beliefs of UK NHS staff presenting with BP, and how these beliefs are constructed. Purposive sampling of NHS staff with BP who had self-referred to University Hospitals of Leicester NHS Trusts occupational health physiotherapy service. 30 participants completed the Back-Pain Attitudes Questionnaire. Ten participants with a range of BP beliefs also completed semi-structured interviews. Mean responses, and frequency of different responses were reported, for the questionnaire data. Interviews were analysed using thematic analysis. Total Back-PAQ scores (mean −9.6, SD 9.16) indicated unhelpful BP beliefs overall, though some BP beliefs such as the potential benefit of exercise were more positive. Key themes identified from the interviews were; (i) the uniquely vulnerable nature of BP, (ii) the need to protect the back through avoidance behaviours, and (iii) the importance of being active for BP. NHS staff presenting with BP generally held negative BP beliefs, based on both questionnaire responses and the qualitative interviews. Awareness of the potential benefits of activity contrasted with the notion that ongoing protection of the back was required, and was evident in questionnaire data and interviews. Back pain beliefs were influenced by health care professional advice (both formal and informal settings), moving and handling training, family opinion and childhood experiences, offering insights into the settings where BP beliefs could be targeted.
DOI: 10.6084/m9.figshare.19342054.v1
title: ‘Keep moving, but carefully’: back pain beliefs among NHS staff

description: Back pain (BP) is a major cause of absenteeism in National Health Service (NHS) staff in the UK. However, the back beliefs of NHS staff with BP are unknown. To explore the BP beliefs of UK NHS staff presenting with BP, and how these beliefs are constructed. Purposive sampling of NHS staff with BP who had self-referred to University Hospitals of Leicester NHS Trusts occupational health physiotherapy service. 30 participants completed the Back-Pain Attitudes Questionnaire. Ten participants with a range of BP beliefs also completed semi-structured interviews. Mean responses, and frequency of different responses were reported, for the questionnaire data. Interviews were analysed using thematic analysis. Total Back-PAQ scores (mean −9.6, SD 9.16) indicated unhelpful BP beliefs overall, though some BP beliefs such as the potential benefit of exercise were more positive. Key themes identified from the interviews were; (i) the uniquely vulnerable nature of BP, (ii) the need to protect the back through avoidance behaviours, and (iii) the importance of being active for BP. NHS staff presenting with BP generally held negative BP beliefs, based on both questionnaire responses and the qualitative interviews. Awareness of the potential benefits of activity contrasted with the notion that ongoing protection of the back was required, and was evident in questionnaire data and interviews. Back pain beliefs were influenced by health care professional advice (both formal and informal settings), moving and handling training, family opinion and childhood experiences, offering insights into the settings where BP beliefs could be targeted.
DOI: 10.6084/m9.figshare.17708580
title: Knowledge, attitude and adherence to standard precautions among frontline clinical physiotherapists during the COVID-19 pandemic: a cross-sectional survey

description: To investigate the knowledge of pathology and prevention of the novel coronavirus (COVID-19), attitude towards clinical practice, and adherence to standard precautions among clinical physiotherapists during the pandemic. A snowballing method was used to recruit physiotherapists (across 53 countries) who responded to a newly designed and validated survey on the participants’ demographics, knowledge of COVID-19, attitude, practices, and standard precaution adherence during the pandemic. Data were analysed using descriptive statistics, Cronbach’s Alpha, Pearson’s correlation, and ANOVA. All participants (<i>n</i> = 2550, 100%) were knowledgeable on COVID-19 symptomatology. However, only (<i>n</i> = 312, 12.2%) were actively involved in the management of confirmed cases. The percentage score of participants’ knowledge regarding COVID-19 pathology, and prevention, their attitude, and adherence to standard precautions averaged 77.73 ± 10.11, 89.70 ± 9.26, 77.44 ± 7.04, and 61.59 ± 16.63, respectively. Knowledge about COVID-19 pathology differed significantly across demographic variables (<i>p</i> &lt; 0.001, <i>Ƞ</i><sup>2</sup> ≤ 0.07). Most participants (<i>n</i> = 1936, 75.9%) reported an inadequate supply of personal protective equipment (PPE). Participants had good knowledge of COVID-19 pathology and a positive attitude towards safe clinical practice. However, adherence to standard precautions was suboptimal due to inadequate infectious disease training and PPE supply.
DOI: 10.6084/m9.figshare.17708580.v1
title: Knowledge, attitude and adherence to standard precautions among frontline clinical physiotherapists during the COVID-19 pandemic: a cross-sectional survey

description: To investigate the knowledge of pathology and prevention of the novel coronavirus (COVID-19), attitude towards clinical practice, and adherence to standard precautions among clinical physiotherapists during the pandemic. A snowballing method was used to recruit physiotherapists (across 53 countries) who responded to a newly designed and validated survey on the participants’ demographics, knowledge of COVID-19, attitude, practices, and standard precaution adherence during the pandemic. Data were analysed using descriptive statistics, Cronbach’s Alpha, Pearson’s correlation, and ANOVA. All participants (<i>n</i> = 2550, 100%) were knowledgeable on COVID-19 symptomatology. However, only (<i>n</i> = 312, 12.2%) were actively involved in the management of confirmed cases. The percentage score of participants’ knowledge regarding COVID-19 pathology, and prevention, their attitude, and adherence to standard precautions averaged 77.73 ± 10.11, 89.70 ± 9.26, 77.44 ± 7.04, and 61.59 ± 16.63, respectively. Knowledge about COVID-19 pathology differed significantly across demographic variables (<i>p</i> &lt; 0.001, <i>Ƞ</i><sup>2</sup> ≤ 0.07). Most participants (<i>n</i> = 1936, 75.9%) reported an inadequate supply of personal protective equipment (PPE). Participants had good knowledge of COVID-19 pathology and a positive attitude towards safe clinical practice. However, adherence to standard precautions was suboptimal due to inadequate infectious disease training and PPE supply.
DOI: 10.5281/zenodo.7901034
title: Artefact for "Combining Type Inference and Automated Unit Test Generation for Python"

description: Contains the artefact for our ASE 2023 submission “Combining Type Inference and Automated Unit Test Generation for Python”.
DOI: 10.5281/zenodo.7901033
title: Artefact for "Combining Type Inference and Automated Unit Test Generation for Python"

description: Contains the artefact for our ASE 2023 submission “Combining Type Inference and Automated Unit Test Generation for Python”.
DOI: 10.3886/x4s3-f497
title: Philippines Compact - KALAHI-CIDSS Community Development Grants: Cost Study
DOI: 10.3886/k3tq-em21
title: Philippines Compact - KALAHI-CIDSS Community Development Grants: Cost Study
DOI: 10.3886/4qgq-ec25
title: Timor-Leste Threshold - Fostering Transparency Initiative: Final Analysis Report
DOI: 10.3886/mez8-xr10
title: Timor-Leste Threshold - Fostering Transparency Initiative: Final Analysis Report
DOI: 10.5281/zenodo.7716909
title: Hurricane Disturbance Vegetation Anomaly (HDVI) [Data set for Turner et al.]

description: The Hurricane Disturbance Vegetation Anomaly (HDVI) is a rapid assessment approach to understand the severity of ecological damage from a high intensity storm event on an otherwise healthy, mature mangrove forest. Data archived here focuses on Cuba, where Hurricane Irma (Category 5) hit the northern coast in September 2017 and caused wide-spread damage to mangroves and coastal forests. Local scientists were not able to assess the full extent or severity of damages through field work due to limited infrastructure and resources, so they turned to remote sensing analysis. We developed a multitemporal, multiresolution approach to assess the damage 1) extent and 2) relative severity using changes from the typical green-leaf phenology represented by the Enhanced Vegetation Index with MODIS and Sentinel-2 data. All data was processed in Google Earth Engine API to access and utilize large amounts of historical data, as well as compare sensors’ spatial resolution impacts on results. This data set includes the HDVI products and categorization of data by quartile of damage (catastrophic, severe, moderate, mild, no loss).
DOI: 10.5281/zenodo.7716908
title: Hurricane Disturbance Vegetation Anomaly (HDVA) [Data set for Turner et al.]

description: The Hurricane Disturbance Vegetation Anomaly (HDVA) is a rapid assessment approach to understand the severity of ecological damage from a high intensity storm event on an otherwise healthy, mature mangrove forest. Data archived here focuses on Cuba, where Hurricane Irma (Category 5) hit the northern coast in September 2017 and caused wide-spread damage to mangroves and coastal forests. Local scientists were not able to assess the full extent or severity of damages through field work due to limited infrastructure and resources, so they turned to remote sensing analysis. We developed a multitemporal, multiresolution approach to assess the damage 1) extent and 2) relative severity using changes from the typical green-leaf phenology represented by the Enhanced Vegetation Index with MODIS and Sentinel-2 data. All data was processed in Google Earth Engine API to access and utilize large amounts of historical data, as well as compare sensors’ spatial resolution impacts on results. This data set includes the HDVA products and categorization of data by quartile of damage (catastrophic, severe, moderate, mild, no loss).
DOI: 10.5281/zenodo.7826011
title: Hurricane Disturbance Vegetation Anomaly (HDVA) [Data set for Turner et al.]

description: The Hurricane Disturbance Vegetation Anomaly (HDVA) is a rapid assessment approach to understand the severity of ecological damage from a high intensity storm event on an otherwise healthy, mature mangrove forest. Data archived here focuses on Cuba, where Hurricane Irma (Category 5) hit the northern coast in September 2017 and caused wide-spread damage to mangroves and coastal forests. Local scientists were not able to assess the full extent or severity of damages through field work due to limited infrastructure and resources, so they turned to remote sensing analysis. We developed a multitemporal, multiresolution approach to assess the damage 1) extent and 2) relative severity using changes from the typical green-leaf phenology represented by the Enhanced Vegetation Index with MODIS and Sentinel-2 data. All data was processed in Google Earth Engine API to access and utilize large amounts of historical data, as well as compare sensors’ spatial resolution impacts on results. This data set includes the HDVA products and categorization of data by quartile of damage (catastrophic, severe, moderate, mild, no loss).
DOI: 10.15132/10000200
title: Climate change risk to raw water quality data set 4: Colour time series

description: The data were created as part of a PhD thesis investigating links between catchment characteristics and water quality to assess impacts of climate change on raw water quality. The file contains colour concentrations from routine soure water sampling from Scottish Water between 2010 and 2016.

Permission to reuse these data needs to be sought from Scottish Water.
DOI: 10.6084/m9.figshare.22771298.v1
title: Camera trap summary - indigenous communities, Manu National Park, Peru

description: This dataset has camera trap station ID's as rows and camera trap set up and species record summaries as columns: <br> Camera = Camera station ID's: "MCT_No" for Maizal, "T_No" for Tayakome, "YCT_No" for Yomibato. Season = The climatic period of the camera trap survey. Year = The year the camera trap survey was conducted. Month = The month (numerical) the camera trap survey was conducted. First.date = The date of the first image that was taken by the camera trap. Last.date = The date of the last image that was taken by the camera trap. n_nights = The number of nights the camera trap was operational during the camera trap survey. Species = The species name (scientific) captured at the camera trap station, including birds. n_events = The total number of independent capture events of a species at the camera trap station. <br> At each community (2013-2015), 15 camera traps were placed in the hunting zone, spaced 2 km apart with an additional camera in the centre at 1.6 km apart from other cameras, conforming to TEAM Network methodology. Trapping effort: Maizal: 3,630; Tayakome: 6,375; Yomibato: 3,165 trap nights. <br> Photos of the same species within the same hour were excluded to maintain independent capture events.
DOI: 10.6084/m9.figshare.22771298
title: Camera trap summary - indigenous communities, Manu National Park, Peru

description: This dataset has camera trap station ID's as rows and camera trap set up and species record summaries as columns: <br> Camera = Camera station ID's: "MCT_No" for Maizal, "T_No" for Tayakome, "YCT_No" for Yomibato. Season = The climatic period of the camera trap survey. Year = The year the camera trap survey was conducted. Month = The month (numerical) the camera trap survey was conducted. First.date = The date of the first image that was taken by the camera trap. Last.date = The date of the last image that was taken by the camera trap. n_nights = The number of nights the camera trap was operational during the camera trap survey. Species = The species name (scientific) captured at the camera trap station, including birds. n_events = The total number of independent capture events of a species at the camera trap station. <br> At each community (2013-2015), 15 camera traps were placed in the hunting zone, spaced 2 km apart with an additional camera in the centre at 1.6 km apart from other cameras, conforming to TEAM Network methodology. Trapping effort: Maizal: 3,630; Tayakome: 6,375; Yomibato: 3,165 trap nights. <br> Photos of the same species within the same hour were excluded to maintain independent capture events.
DOI: 10.26071/ogsl-e1f72623-d5bb
title: COR1404 MARGES Expedition in the San Jorge Gulf in 2014: Marine Geology Data, Sediment Characterization
title: Mission MARGES COR1404 dans le golfe de San Jorge en 2014 : données de géologie marine, caractérisation des sédiments

description: COR1404 MARGES Expedition took place from February 17th to March 4th 2014 on board the research vessel (R/V) Coriolis II. The general objective was to perform detailed geophysical surveys, and to collect different types of sediment samples in the San Jorge Gulf and adjacent continental shelf edge-upper slope area (Argentina). This dataset includes sample locations and high-resolution images of the cores (CT-scan and photo). Different sediment properties were analyzed, such as : physical properties  (spectrophotometry [L* a* b*, RGB, XYZ, Munsell color], gamma density, P-wave velocity and amplitude, fractional porosity, resistivity and impedance), magnetic properties (magnetic susceptibility) and chemical properties ( X-ray fluorescence, 14C isotopic dating).
description: La mission MARGES COR1404 a eu lieu du 17 février au 4 mars 2014 à bord du navire de recherche (N/R) Coriolis II. L’objectif général était de réaliser des relevés géophysiques détaillés et d’obtenir différents types d’échantillons de sédiments dans le golfe de San Jorge et dans la zone adjacente du bord du plateau continental et du haut talus (Argentine). L’ensemble des données comprend l'emplacement des échantillons et les images à haute résolution des carottes (CT-scan et photo). Plusieurs propriétés des sédiments ont été analysées, telles que : les propriétés physiques ( spectrophotométrie [L* a* b*, RGB, XYZ, couleur Munsell], densité gamma, vitesse et amplitude des ondes P, porosité fractionnée, résistivité et impédance), les propriétés magnétiques (susceptibilité magnétique) et les propriétés chimiques (fluorescence X, datation isotopique 14C).
DOI: 10.5519/qd.uk2q5rua
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (295 records)
DOI: 10.6084/m9.figshare.22771661
title: COVID-19 pregnancy analytic dataset.xlsx

description: The aim of this study was to investigate the association between pregnancy and COVID-19 symptoms in Qatar.
DOI: 10.35078/wz9bj3
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Diamantina | Município: Taquaraçu de Minas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.6084/m9.figshare.22519551
title: Occurrence of zearalenone and its major metabolites in cereal flour from Korea

description: The occurrence of zearalenone (ZEN) and its metabolites (α-zearalenol (α-ZEL), β-zearalenol (β-ZEL), α-zearalanol (α-ZAL), β-zearalanol (β-ZAL), and zearalanone (ZAN)) was investigated in 78 cereal flour from Korea using UHPLC-MS/MS. Among these mycotoxins, ZEN was the most abundant in the analyzed samples at an incidence rate of 41% and concentration range of 0.5–536 µg/kg. The highest contamination and incidence rate of ZEN were found in corn flour samples, while oat flour samples showed the lowest contamination and incidence rate of this mycotoxin. α-ZEL, β-ZEL, and ZAN were detected only in corn flour samples but at lower frequencies of 23%, 17%, and 15%, respectively, while α-ZAL and β-ZAL were not detected in any sample. To the best of our knowledge, this is the first investigation of the simultaneous occurrence of ZEN and its major metabolites in commercially available cereal flour from Korea. Among the tested samples, only four were contaminated with ZEN at levels exceeding the maximum regulatory level established in Korea. The co-occurrence of ZEN, α-ZEL, β-ZEL, and ZAN was observed in 14% of all samples. Although ZEN metabolites were detected at relatively lower levels than ZEN, the relatively high co-occurrence rate of those mycotoxins is of significant concern from a food safety perspective, since they can synergistically contribute to the overall toxicity and estrogenic effects.