cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tgx7yjvtm2.1
title: Replication Data for: Historical Contextualisation in Primary School History Textbooks in Ghana

description: Quantitative data analysis of the study: Historical Contextualisation in Primary School History Textbooks in Ghana. Shows the statistical data generated for the study
DOI: 10.17632/8wdvntpkkf.1
title: Data for a study of "Proposing a Cut-off Point of Integrated Nursing and Caring Service for Ensuring Satisfactory Patient Experiences: From a Cross-sectional nationwide secondary data analysis"

description: Data regarding the status of INCS were downloaded from the Korean Public Data Portal, and the data related to hospital characteristics and the patient evaluations for each hospital services were extracted from the website of Health Insurance Review and Assessment Service (HIRA).
DOI: 10.17632/ccb3bjppyf.1
title: Buy Now Pay Later Indonesia & Malaysia

description: This data is about BNPL usage in Indonesia & Malaysia
DOI: 10.17632/ccb3bjppyf.2
title: Buy Now Pay Later Indonesia & Malaysia

description: This data is about BNPL usage in Indonesia & Malaysia
DOI: 10.17632/tjf39zhjdy.1
title: Casual Esports Players Dataset

description: Casual Esports Players Dataset: This dataset consists of information regarding casual esports players' intrinsic motivations, attachment and gameplay intentions.
DOI: 10.17632/n32bh5rg8f.1
title: CIA2022 Pope Francis

description: This is a subset of the Catholics in Australia 2022 (CIA2022) data set relating specifically to participants' views of Pope Francis and his pontificate. This data represents only those participants who answered a series of optional questions on Pope Francis.
DOI: 10.21966/03pw-2190
title: Eelgrass (Z. marina) extent at sites along the Central Coast, British Columbia

description: This polygon dataset contains a time series for the spatial extent of eelgrass (Zostera marina) meadows delineated from aerial imagery at several long-term monitoring sites located on the Central Coast of British Columbia. The areal extent of eelgrass (Zostera marina) meadows is an important metric for understanding the broader dynamics of eelgrass habitats. Since 2015, the Hakai Geospatial Program has been using remotely piloted aerial systems (RPAS, aka drone) imagery to record change in eelgrass meadow extent at monitoring sites on the Central Coast of BC. Prior to 2015, eelgrass extent at monitoring sites has been conducted using aerial fixed wing aircraft and helicopter imagery and towed underwater video (see 2014 metadata record for eelgrass sites delineated using towed underwater video). Existing methods for mapping eelgrass (e.g. low-tide walking surveys, towed video, or boat-based SCUBA surveys) can be difficult to apply repeatedly and efficiently across large geographic extents. RPASs are portable and efficient tools for mapping nearshore marine environments, such as eelgrass habitat. Despite some limitations of RPAS mapping (e.g. weather, flight time, survey size), RPASs are able to collect high-resolution data (&lt;10 cm) during short windows of opportunity (e.g. low tide). Core monitoring sites at the Hakai Institute include three eelgrass beds (Pruth Bay, Choked Pass and Koeye) that are mapped annually and three others (Triquet Bay, Goose SW, and McMullin North) which are mapped bi-annually (Fig. 1). Other sites have been mapped advantageously or as part of shorter-term projects and are included in this data package. For each site, eelgrass extent was delineated using a combination of object-based image analysis (eCognition Developer 9) and manual delineation within a GIS environment (ArcGIS, v 10.8). In brief, image objects area created via a multiresolution segmentation algorithm within eCognition and the site orthomosaic. These objects are exported to a GIS environment where an analyst classifies objects as eelgrass. The minimum mapping unit for a patch of eelgrass or patch within a bed is 4 m2.
DOI: 10.17632/cybfnfwr37.1
title: Cascada de señalización de la insulina y la actividad física para el transporte de GLUT-4 y la captación de glucosa en el músculo esquelético

description: El músculo esquelético (ME), debido a su significativo tamaño y función, representa el tejido que más energía demanda durante la actividad física. En respuesta a esta demanda, ha desarrollado un sistema altamente especializado para almacenar energía y satisfacer sus necesidades metabólicas. Para alcanzar esta eficacia en el almacenamiento y abastecimiento de nutrientes, en particular de glucosa, el ME depende de una incorporación nutricional eficaz. La relación entre la insulina y el ejercicio ilustra un ejemplo de equilibrio complejo y de adaptación, en el que dos fuerzas reguladoras metabólicas se contraponen en contextos cambiantes. El aumento de la insulina en la sangre comunica al ME la presencia de niveles elevados de glucosa plasmática. Aunque la insulina se secreta tras la ingesta y es la principal hormona que aumenta el almacenamiento de glucosa y ácidos grasos en forma de glucógeno y triglicéridos, respectivamente, el ejercicio es una situación fisiológica que exige la movilización y oxidación de las reservas energéticas. Por lo tanto, durante la actividad física, los efectos del almacenamiento inducidos por la insulina deben mitigarse median-te la inhibición de la liberación de insulina durante el ejercicio, y la activación de los mecanismos sistémicos y locales de movilización de energía. La interacción de la insulina con su receptor da lugar a una compleja cascada de señales que promueve la captación de glucosa y la síntesis de glucógeno. Uno de los efectos más estudiados de la señalización insulínica en el ME es el incremento en la captación de la glucosa muscular. Tanto la insulina como la actividad contráctil aumentan la entrada de glucosa en el ME, proceso que involucra la translocación y fusión de vesículas que contienen el transportador de glucosa GLUT-4 en la membrana (GSV: vesículas de almacena-miento de GLUT-4). Así, los estímulos mencionados provocan el traslado de las GSV hacia la superficie celular, donde se fusionan, lo que aumenta la presencia de GLUT-4 y favorece la captación de glucosa del entorno intersticial. Este proceso de fusión se conoce como “exocitosis de GLUT-4”.Tras la actividad física, es necesario reponer las reservas de energía consumidas, en especial, el glucógeno en el músculo. El proceso se ve favorecido por un aumento de la sensibilidad a la insulina en los músculos previamente ejercitados, lo que facilita la utilización de la glucosa en la resíntesis del glucógeno. Este trabajo de revisión abarca los nuevos actores de la cascada de señalización de la insulina, el transporte de GLUT-4 y las interacciones insulina-ejercicio durante y después de la actividad física. Además, explora los efectos del entrenamiento físico regular sobre la acción de la insulina.
DOI: 10.17632/63b63hhc8d.1
title: Diferencias en la percepción del estrés en personas con diabetes mellitus de distinto sexo durante el confinamiento por COVID-19

description: Introducción: diversos estudios sugieren que existe una diferencia en el estrés percibido (EP) entre sexos en la población general. Sin embargo, hay escasas publicaciones que describan las diferencias de percepción del estrés entre sexos durante el confinamiento por COVID-19 en personas con diabetes mellitus (DM).
Objetivos: evaluar las diferencias entre sexos relacionadas con el EP y la ansiedad en personas con DM durante el confinamiento por COVID-19 en Argentina.
Materiales y métodos: estudio multicéntrico, observacional y transversal. Se incluyeron adultos con DM1 y DM2. El grado de estrés se evaluó por la escala de estrés percibido (perceived stress scale, PSS) y la ansiedad por el inventario de ansiedad de Beck (Beck anxiety inventory, BAI).
Resultados: se incluyeron 2.273 pacientes (52,5% mujeres). En el análisis univariado, las puntuaciones de BAI y PSS fueron significativamente más altas en las mujeres con DM versus los hombres (BAI 8,9 versus 6,6; p&lt;0,001 y PSS 14,3 versus 11,8; p&lt;0,001). En el análisis multivariado, el sexo femenino se asoció significativamente con mayores puntuaciones de BAI y PSS después de ajustar por tipo de DM, edad, nivel de A1c, nivel educativo, condición de vivir solo/a, y presencia de comorbilidades o complicaciones (p&lt;0,001). En la regresión lineal múltiple, las puntuaciones de BAI y PSS se asociaron significativamente con el sexo femenino (BAI p&lt;0,0001 y PSS p&lt;0,0013).
Conclusiones: en los pacientes con DM, el sexo femenino se asoció con puntuaciones más altas de ansiedad y EP en el contexto de aislamiento durante la pandemia de COVID-19 en Argentina.
DOI: 10.17632/vt9nzf4gvj.1
title: Datasets of Chemical Compounds in Three Different Species of Aquilaria using GC-MS coupled with GC-FID Analysis

description: Data for publication in Data in Brief regarding the chemical compounds in different species of Aquilaria Oil.
DOI: 10.21966/1.715699
title: Uncertainty analysis of stage-discharge rating curves for seven rivers at Calvert Island (2013-2015)

description: Knowledge of freshwater runoff is an essential component for estimating terrestrial material fluxes into coastal areas. Discharge estimates are often based on a direct relation between the stage height at a particular gauging station and discharge (rating curve), in combination with continuous stage monitoring. The aim of this study was to develop rating curves for seven watersheds in the bog forest environment of Calvert Island, British Columbia, Canada and to investigate the uncertainties related to rating curve development and discharge estimation using the velocity-area and salt dilution discharge measurement methods. Rating curves with 99% confidence intervals were created with good curve fitting results (R2 &gt; 0.97) for three out of seven watersheds.  Discharge measured with the velocity-area method had a higher average uncertainty (13.5 – 15.6%) compared to the salt dilution method (5.1%). The largest source of error for the velocity-area method was the uncertainty in the velocity readings followed by the uncertainties in the depth readings, the calibration and systemic errors and uncertainties in the width measurements. Increasing the number of stations gives a better representation of river cross-section and velocity profile. The most important source of error for the salt dilution method was improper salt mixing. The second most important source of error was the uncertainty associated to the calibration correction factor. Hysteresis was not considered a source of uncertainty, but the extrapolation of a rating curve beyond a range of low flow discharge measurements resulted in an underestimation of discharge at higher stages.
DOI: 10.17632/jk6pc8h5vj.1
title: Data on growth, survivability and water quality of edible oyster (Crassostrea spp.) in indoor culture fed with selected microalgae

description: Table 01. Physico-chemical parameters of edible oyster (Crassostrea sp.) cultured in different treatments for 180 days’ experimental duration
Figure 01. Survival (%) rate of edible oyster in different diet
Figure 02. Range of length increment, width increment, thickness increment, and weight gain of edible oyster at Filtered seawater, Chaetoceros sp., Chlorella sp., and a mixture of Chaetoceros sp. and Chlorella sp. (T3) treatments respectively.
DOI: 10.21966/1.346775
title: Clam Garden Geospatial Data - Quadra Island - 2016

description: Clam Garden Geospatial Data - Quadra Island - 2016
UAV Imagery - GIS data on clam gardens and rock walls. Small Inlet / Waiatt Bay Quadra Island BC.

Hakai Institute conducted UAV (unmanned aerial vehicle) imagery and survey work on May 7, 8, 9, 10th of 2016. Imagery has been stitched together and elevation models extracted using Pix4D software. Survey data has been collected in NAD83 UTM zone 10 using Topcon GR5 survey equipment.

GIS data has been extracted from the imagery and surface models. Rock walls (polyline) and clam garden beds (polygon) have been produced for the entire area of imagery (Octopus Islands / Waiatt Bay / Small Inlet / Granite Bay / Kanish Bay. GIS analysis was conducted by Keith Holmes and Ginevra Toniello.

Field Work Summary for May 2016:
Field equipment: Phantom 3 Pro UAV, Topcon GR5 Survey GPS, and high visibility survey targets.

May 7th: 
Quadra Island - covering small Inlet and part of Kanish Bay. 
Spatial resolution of 12 cm. 
High winds limited flights outside of Kanish Bay. Base stations in Granite Bay have high accuracy, while DGPS mode was used in Kanish and Small Inlet leading to high X Y accuracy and low Z (elevation) accuracy for this day only. 

May 8th:
"High and Dry Site" located in Small Inlet. A small section of coastline (~ 400 meters) was studied during the low tide cycle.
Spatial resolution of 4 cm.
High winds and clear skies.
Base station and RTK was achieved and high accuracy XYZ measurements can be extracted from the surface model generated in Pix4D. 

May 9th:
Octopus Islands and Waiatt Bay were covered.
Spatial Resolution of 12 cm.
Full sun and light winds.
Base station was placed on the Octopus Islands and full RTK of field targets was complete for high accuracy XYZ measurements.
Note: One area of imagery was not well covered in the Octopus islands resulting in a warped shoreline. 

May 10th:
South Quadra Island tidal complex. This was an opportunistic flight to provide high resolution imagery of the tidal reef on the south end of Quadra Island. No targets or GPS was used. 
Full fun and light winds.

Attribute Information:
Calculated using BC Albers NAD 83 UTM Zone 10.
RW_Meters - Rock Wall Length - Meters
CG_Area - Clam Garden Area - Square Meters

Further GIS analysis to be completed to enhance attribute data in 2017.

Field Crew:
Keith Holmes (UAV pilot / survey gps / data processing)
Archaeology team: Dana Lepofsky, Ginevra Toniello, Louie Wilson, and Nicole Smith

For more information contact data@hakai.org
DOI: 10.21966/1.437736
title: High-resolution record of surface seawater CO2 content from December 2014 to April 2016 collected in Hyacinthe Bay, British Columbia, Canada. Version 1.0.

description: Quadra Island, at the northern terminus of the Salish Sea, has been a site for shore-based and high-resolution measurement of surface seawater CO2 content since December 2014. Measurements of in situ temperature, salinity, and CO2 partial pressure are made near-continuously from a seawater sample line with an intake 50 m from shore and at a depth of 1 m in Hyacinthe Bay on the eastern side of Quadra Island. The effort to collect these data are part of the Hakai Institute’s directive to advance the understanding of carbon cycling in northeast Pacific coastal settings with specific emphasis on sea-air CO2 exchange and ocean acidification.
DOI: 10.17632/2j92xw37cg.1
title: Tracing subducted carbonates in the mantle using zinc and molybdenum isotopes

description: Data for Tracing subducted carbonates in the mantle using zinc and molybdenum isotopes
DOI: 10.17632/2j92xw37cg.2
title: Tracing subducted carbonates in Earth's mantle using zinc and molybdenum isotopes

description: Data for Tracing subducted carbonates in the mantle using zinc and molybdenum isotopes
DOI: 10.21966/20sj-j017
title: Pacific Northwest Eelgrass Sediment Carbon Data

description: This dataset accompanies a manuscript entitled “A synthesis of blue carbon stocks, sources and accumulation rates in eelgrass (Zostera marina) meadows in the Northeast Pacific”, currently under review for Global Biogeochemical Cycles. These data provide estimates of sediment carbon stocks, organic carbon accumulation rates and sources of carbon in sixteen intertidal and subtidal Zostera marina meadows, spanning from Southeast Alaska to Southern Oregon. Data were compiled from seven independent studies conducted between 2013 and 2017, including published manuscripts, graduate/academic theses, and unpublished values. While the studies varied slightly in their objectives and scope, all studies had a common goal of quantifying carbon stocks, sequestration rates, and sources of stored carbon in Z. marina meadows to fill regional data gaps for this species in the Pacific Northwest. At all sites, cores were collected by manually inserting PVC tubes into the sediment. Cores were either taken at a predetermined depth (e.g., 30cm) or inserted to the point of refusal. Intertidal cores were collected during low tides, while subtidal cores were collected by SCUBA divers. The number of cores from vegetated and unvegetated sediments, tidal height average core depth, and the sampling period varied among sites and regions. Lab analyses were conducted to quantify sediment characteristics such as % organic carbon (OC), % organic matter, % inorganic carbon, OC stocks, OC accumulation rates, and carbon (δ13) and nitrogen (δ15N) isotope values. Details of field and laboratory methods are included in the manuscript. The dataset includes six csv files which contain: (1) eelgrass sediment carbon values, (2) organic carbon accumulation rates and accretion rates, (3) sediment δ13C and δ15N isotope values, (4) quantitative sediment grain size data, (5) qualitative sediment grain size data, (6) data used to create the % organic matter vs. % organic carbon regression equation used in the manuscript. This data package is freely available to everyone, following the principles of equitable access and benefit sharing. However, creating data packages cannot happen without the contribution of many scientists and data managers involved with science coordination, data aggregation, quality control, and database maintenance. Therefore, we expect all data users to give attribution to the data providers (read our data license) and the use of these data should happen in the light of fair use, i.e.: 1) respect the data providers, and provide helpful feedback on data quality, and 2) communicate and/or collaborate with the providers if you are considering using this dataset for manuscripts or other forms of reporting.
DOI: 10.21966/yk87-4x24
title: High-resolution record of sea surface nitrate at Sentry Shoal in the Northern Strait of Georgia, British Columbia, Canada from 2015 to 2017.

description: The Environment Canada weather mooring at Sentry Shoal in the Northern Strait of Georgia provides a platform of opportunity for collection of high frequency biogeochemical measurements. From spring to fall in 2015, 2016, and 2017, autonomous sensors were deployed on the mooring to collect surface nitrate, temperature and salinity measurements every 30 minutes. Nitrate concentration was measured using a Satlantic SUNA (Ultraviolet Nitrate Analyzer), temperature and salinity were measured using a SeaBird 37-SMP MicroCAT. Sensors were deployed each year in the spring and serviced in the field every 2-3 months, following recovery in the fall, sensors were shipped for factory service and calibration. This project was supported by the Tula Foundation and the Pacific Salmon Foundation, fieldwork was a collaborative effort between the Hakai Institute, and SeaThis Consulting.
DOI: 10.21966/zxzr-e472
title: Underway surface seawater and marine boundary layer observations made from the Alaska Marine Highway System M/V Columbia from October 2017 to October 2018

description: From October 2017 to October 2018, underway surface water measurements were collected from the Alaska Marine Highway System M/V Columbia during 81 service route transits. The service route of the Columbia included the ports of Sitka, Juneau, Haines, Skagway, Wrangell, Petersburg, and Ketchikan in southeast Alaska, and between Ketchikan and Bellingham, WA. The vessel sailed from Ketchikan every Wednesday, arrived in Bellingham on Friday, and returned to Ketchikan on Sunday. Measurements of temperature, salinity, dissolved oxygen content, and CO2 partial pressure were made every 2 mins on seawater drawn into the vessel from a ~2 m intake. Seawater was delivered from the intake to analytical equipment on the car deck using a AMT 1/2 HP pump (4295-98). Temperature and salinity data were collected using a Sea-Bird SBE 45 MicroTSG Thermosalinograph, and intake temperature measured using a SBE 38 Digital Oceanographic Thermometer. Dissolved oxygen content was determined using an Aanderaa 4330F that had undergone multipoint calibration. CO2 measurements were made using a General Oceanics 8050 (GO8050) pCO2 Measuring System. All data streams, including GPS information from an antenna and atmospheric pressure from a Druck barometer positioned on the foredeck, were captured by the GO8050 control computer. Atmospheric CO2 measurements were also made using the GO8050 on unaltered marine air drawn to the system through an intake located on the foredeck. The CO2 measurement scheme involved the analysis of four gas standards of known CO2 content (150 ppm, 349 ppm, 449 ppm, and 850 ppm; Praxair), 12 analyses atmospheric CO2, and 240 seawater CO2 measurements in a cycle that was repeated every 8.5 hours. The seawater and atmospheric CO2 analyses were run in a sequence of 3 atmospheric measurements and 60 seawater measurements that was repeated 4 times between standardization. This project was supported by the Tula Foundation and Alaska Ocean Observing System, and was a collaborative effort between the Hakai Institute, University of Washington Joint Institute for the Study of the Atmosphere and Ocean/NOAA Pacific Marine Environmental Laboratory, State of Alaska Department of Transportation, University of Alaska Southeast Alaska Coastal Rainforest Center, and the Alaska Ocean Observing System.
DOI: 10.21966/pk18-z035
title: High-resolution record of surface seawater CO2 content from August 2016 to August 2017 collected in at the OceansAlaska shellfish hatchery in Ketchikan, Alaska, USA

description: The OceansAlaska shellfish hatchery in Ketchikan, is a floating barge that has been a site for high-resolution measurement of surface seawater CO2 content since August 2016. Provided here is the first year of observations before the site underwent extensive construction.  Measurements of in situ temperature, salinity, and CO2 partial pressure are made near-continuously from a seawater sample line with an intake depth of 4.3 m. The effort to collect these data is a collaboration between OceansAlaska, the UAF Ocean Acidification Research Center, and the Hakai Institute with support from the Alaska Ocean Observing System. The collection and analysis of these data are part of the Hakai Institute’s directive to advance the understanding of carbon cycling in northeast Pacific coastal settings with specific emphasis on sea-air CO2 exchange and ocean acidification. This data contribution consists of measurements from August 29, 2016 to August 2, 2017.
DOI: 10.21966/fwk1-a364
title: High-resolution record of surface seawater CO2 content from June 2017 to April 2019 collected in Sitka Harbor, Alaska, USA

description: Sitka Tribe of Alaska’s Environmental Research Laboratory adjacent to Sitka Harbor, has been a site for shore-based and high-resolution measurement of surface seawater CO2 content since June 2017. Measurements of in situ temperature, salinity, and CO2 partial pressure are made near-continuously from a seawater sample line with an intake 50 m from shore and at a depth of 1 m in Sitka Harbor. The effort to collect these data is a collaboration between the Sitka Tribe of Alaska and the Hakai Institute with support from the Alaska Ocean Observing System. The collection and analysis of these data are part of the Hakai Institute’s directive to advance the understanding of carbon cycling in northeast Pacific coastal settings with specific emphasis on sea-air CO2 exchange and ocean acidification. This data contribution consists of measurements from June 1, 2017 to October 30, 2017.