cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/j9hx-mt86
title: SPLASH Field Study; Atmospheric Surface Flux Station #50 measurements (level 2 Processed), Oct2021-Jun2023 (NCEI Accession 0303960)

description: Processed (Level 2) measurements and derived variables from the Atmospheric Surface Flux Station #50 (ASFS-50) deployed at the Avery Picnic site (38°58.3455' N, 106°59.8113' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from October 2021 through June 2023. The ASFS measured variables of the surface energy budget, momentum flux, near-surface meteorology, and soil properties. Measurements of high-resolution 3-dimensional winds were observed at a nominal height of 4.6 m (depending on snow depth). Measurements of upwelling broadband radiation and meteorology observed from a nominal height of 2.9 m. The measurements are included in three netCDF files per day. The "sledmet" files are comprised of 1-min averages of measured and derived variables, including near-surface meteorology, surface skin temperature, snow depth, radiative fluxes, and conductive fluxes. The "sledseb" files are 10-min averages of the same variables as in the 1-min files and also include calculations of turbulent sensible and latent heat fluxes, momentum flux, and associated diagnostics, surface stress, and Monin-Obukhov parameters using both eddy covariance and bulk methodologies, all valid for the 10-min intervals. Both of these file types also contain a "_qc" variable paired with each measurement variable, or family of variables, that is a temporally-matched quality control code: 0 = good data, 1 = caution (data may be suspect), 2 = bad data, and -1 = missing (no data was collected). The "10hz" files include 3-dimensional winds and gas densities of water vapor and carbon dioxide that are quality-controlled, aggregated to a regular 10-Hz temporal grid, and (for winds) rotated into the earth coordinate frame. A detailed documentation of the measurement conditions, the processing steps taken to construct this data set, and other caveats and uncertainties will be provided in an accompanying published data manuscript.
DOI: 10.25921/8528-3f87
title: Sound velocity, temperature, and salinity taken by sound velocimeter - moving vessel profiler from S/V Blake in Gulf of America from 2025-02-01 to 2025-02-05 (NCEI Accession 0304017)

description: Sound velocity, T, and S profiles collected during hydrographic survey OPR-K311-KR-23. This project was performed by David Evans and Associates, Inc. under contract to NOAA Office of Coast Survey. Data are in NetCDF.
DOI: 10.25921/9d7a-hg03
title: SPLASH Field Study; Continuous snow temperature profiles from the Snow Ice Mass Balance Apparatus (SIMBA) level 1 Raw, Nov2022-Jun2023 (NCEI Accession 0304095)

description: Raw (Level 1) measurements from the Snow Ice Mass Balance Apparatus (SIMBA) deployed at the Avery Picnic site (~ 38°58.345' N, 106°59.811' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from November 2021 through June 2023. The SIMBA, originally designed for observing the mass balance of sea ice, is comprised of a thermistor chain with 2 cm spacing (Jackson et al., 2013). This system was configured for terrestrial snowpack by the manufacturer, SAMS Enterprise, to the specifications for SPLASH. The chain was installed suspended from a tripod and fixed to a rigid plastic bar near in time to the onset of snowpack in November 2022. The lowest 10 cm of the chain were buried within the soil. The top of the chain reached approximately 180 cm above the soil surface and snow was permitted to accumulate around the chain throughout the winter of 2022-2023. In the files, negative values of the "height" vector are below the soil surface and positive levels are above, which may be either snow or air depending on the snow depth. The system also uses a low-power heating cycle to measure thermistor's temperature response time for aiding in determining material interfaces: see Jackson et al. (2013) for details.

There are several cautions to be aware of when using these data. The data has been ingested into daily netCDF and metadata (in attributes) have been provided but no quality control has been carried out on this raw version of the data set. From 1 November through 22 December 2022, the sensor obtained profiles every 10 min after which corruption of the configuration file reverted the profiles to every 6 hours (0, 6, 12, and 18 UTC). After 1 January a problem in the firmware caused the system to lose connection to the time-synching GPS network and therefore the clock drifted from January through June 2023 (the maximum potential time stamping error is likely &lt; 81 sec). Finally, from 23 March through 4 April 2023, the depth of the snow at the location of the sensor was deeper than 180 cm and thus measurements in the upper part of the snowpack were not observed then.

Jackson, K., J. Wilkinson, T. Maksym, D. Meldrum, J. Beckers, C. Haas, and D. Mackenzie (2013) A novel and low-cost sea ice mass balance buoy. Journal of Atmosphere and Oceanic Technology, 30(11), 2676-2688, https://doi.org/10.1175/JTECH-D-13-00058.1.
DOI: 10.5284/1137426
title: Digital Archive from an Archaeological Watching Brief at 36 Millstone Lane, Leicester, Leicestershire, April 2022

description: This collection comprises site images, reports, spreadsheet data, and GIS data from archaeological monitoring at 36 Millstone Lane, Leicester, Leicestershire. The works were carried out by Past to Present Archaeology Ltd. in April 2022. Test Pits and Service Trenches revealed no archaeological evidence at the depth at which construction works were to take place. No artefacts of any significance were identified or retained.
DOI: 10.25921/c4h3-x074
title: Wind speed and relative direction, surface meteorology, and others collected from the RRS Discovery in the North Atlantic Ocean from 2024-12-10 to 2024-12-19 (NCEI Accession 0306212)

description: This dataset contains surface meteorology and other data collected from the RRS Discovery in US EEZ. The ship sailed from Fort Lauderdale on the 10th December 2024 and returned on the 19th December 2024. This dataset is U.S. State Department MSR U2024-014 as part of the World Data Service for Oceanography.
DOI: 10.5281/zenodo.17649535
title: Diabetes and its complications research dataset

description: The data in this study were derived from the de-identified follow-up dataset of diabetes patients in the Department of Diabetes and Endocrinology at the Sixth People's Hospital Affiliated to Shanghai Jiao Tong University from February 2012 to April 2012.The dataset encompasses demographic and clinical characteristics of diabetic patients, including fundamental traits and obesity indices, with a focus on their correlations and mechanistic impacts on diabetes onset. Detailed demographic information and basic physiological profiles of diabetic patients are provided in the Appendix. This dataset enables in-depth analysis of the specific effects of glycemic status, lipid profiles, insulin levels, as well as hepatic, renal, and hematologic parameters, integrated with disease history, lifestyle factors, complication profiles, and genetic predispositions, on the development and progression of diabetes mellitus.  Furthermore, it facilitates investigations into associations between diabetes and retinopathy, patient awareness of diabetes, and treatment adherence.

Special Note: The dataset is stored in the data folder(v4).
DOI: 10.25921/ywgm-4409
title: 2023 Flower Garden Banks National Marine Sanctuary Long-Term Monitoring of the Coral Reef Caps of East Flower Garden Bank and West Flower Garden Bank (NCEI Accession 0306920)

description: This dataset contains raw and processed data from an annual long-term monitoring program documenting fish and benthic community observations, along with water quality measurements, at East Flower Garden Bank (EFGB) and West Flower Garden Bank (WFGB). These two sites are part of the National Oceanic and Atmospheric Administration’s Flower Garden Banks National Marine Sanctuary (FGBNMS), located in the northwestern Gulf of America. Monitoring began in 1989 and is funded by FGBNMS and the Bureau of Ocean Energy Management, with support from the National Marine Sanctuary Foundation. EFGB and WFGB are coral reef-capped features that form part of a discontinuous arc of reef environments along the outer continental shelf. They rise from salt dome formations located approximately 190 km south of the Texas-Louisiana border and include habitats ranging from 16 to 166 meters in depth. The shallow bank caps lie within the photic zone and support diverse coral, algal, invertebrate, and fish communities, many of which are shared with Caribbean reef systems. Benthic community data are derived from benthic photo analysis using Coral Point Count with Excel extensions (CPCe). Fish surveys are conducted annually using a modified Bohnsack and Bannerot stationary point count method, and results are recorded in Excel spreadsheets. Water quality parameters (e.g., temperature, salinity, turbidity, nutrients) are obtained from moored conductivity-temperature-depth (CTD) instruments, water samples, and quarterly profiling of the water column. Temperature and salinity records are reduced to daily averages for long-term trend analysis.
DOI: 10.15468/dl.mufvzn
title: Occurrence Download

description: A dataset containing 121124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Veronica anagallis-aquatica, Malus transitoria, Pistacia atlantica, Vitis heyneana, Scutellaria baicalensis, Liquidambar gracilipes, Hsuehochloa calcarea, Callicarpa nudiflora, Coptis chinensis, Cynara cardunculus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 121124 records from 1413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045015-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29189963
title: Figure4_WAx.txt

description: Climate change attribution study.
DOI: 10.6084/m9.figshare.29189963.v1
title: Figure4_WAx.txt

description: Climate change attribution study.
DOI: 10.25442/hku.24850704
title: Data for: The breeding zone in a colonial marine invertebrate influences larval sensitivity to low oxygen at a micro-spatial scale

description: This repository contains the scripts and datasets for the oxygen consumption and behavioural responses of adults and larvae from colonies of Bugula neritina under hypoxic and normoxic conditions
DOI: 10.25442/hku.24850704.v5
title: Data for: The breeding zone in a colonial marine invertebrate influences larval sensitivity to low oxygen at a micro-spatial scale

description: This repository contains the scripts and datasets for the oxygen consumption and behavioural responses of adults and larvae from colonies of Bugula neritina under hypoxic and normoxic conditions
DOI: 10.25442/hku.24850704.v4
title: Data and scripts for oxygen consumption and Ccrit adults and larvae <i>Bugula neritina</i>

description: This dataset contains the oxygen consumption and behavioural responses of adults and larvae from colonies of Bugula neritina under hypoxic and normoxic conditions
DOI: 10.22033/esgf/cmip6.2051
title: CAS FGOALS-g3 model output prepared for CMIP6 GMMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.GMMIP.CAS.FGOALS-g3' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The FGOALS-g3 climate model, released in 2017, includes the following components:
 atmos: GAMIL3 (180 x 80 longitude/latitude; 26 levels; top level 2.19hPa), land: CAS-LSM, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. 
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.22033/esgf/cmip6.2361
title: IPSL IPSL-CM6A-ATM-HR model output prepared for CMIP6 HighResMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.HighResMIP.IPSL.IPSL-CM6A-ATM-HR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The IPSL-CM6A-ATM-HR climate model, released in 2018, includes the following components:
 atmos: LMDZ (NPv6, N256; 512 x 360 longitude/latitude; 79 levels; top level 80000 m), land: ORCHIDEE (v2.0, Water/Carbon/Energy mode). 
The model was run by the Institut Pierre Simon Laplace, Paris 75252, France (IPSL) in native nominal resolutions: atmos: 50 km, land: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
DOI: 10.5281/zenodo.15273094
title: Global Cancer Supportive Care Drugs Market 2024 To 2033

description: Cancer Supportive Care Drugs Market Size, Trends and Insights By Drug Type (Antiemetics, Erythropoietin Stimulating Agents, Bisphosphonates, Granulocyte Colony-Stimulating Factors, Opioids and Non-Opioids, Others), By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Leukemia, Lymphoma, Others), By Mode of Administration (Oral, Injectable, Topical, Others), By Distribution Channel (Hospital Pharmacies, Retail Pharmacies, Online Pharmacies, Specialty Clinics, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Cancer Supportive Care Drugs Market is expected to record a CAGR of 3.1% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 24,907.1 Million. By 2033, the valuation is anticipated to reach USD 32,783.2 Million.

The Cancer Supportive Care Drugs Market encompasses pharmaceuticals and therapies aimed at managing symptoms and side effects associated with cancer treatment. These drugs alleviate pain, nausea, anemia, and other adverse effects, enhancing patients’ quality of life during cancer therapy.

With the increasing prevalence of cancer globally and advancements in cancer treatment modalities, the demand for supportive care drugs continues to grow. This market also includes supportive care services, such as counselling and nutritional support.

Companies invest in research and development to innovate new drugs and therapies, contributing to the expansion and evolution of the Cancer Supportive Care Drugs Market.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=45054
DOI: 10.5281/zenodo.15273095
title: Global Cancer Supportive Care Drugs Market 2024 To 2033

description: Cancer Supportive Care Drugs Market Size, Trends and Insights By Drug Type (Antiemetics, Erythropoietin Stimulating Agents, Bisphosphonates, Granulocyte Colony-Stimulating Factors, Opioids and Non-Opioids, Others), By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Leukemia, Lymphoma, Others), By Mode of Administration (Oral, Injectable, Topical, Others), By Distribution Channel (Hospital Pharmacies, Retail Pharmacies, Online Pharmacies, Specialty Clinics, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Cancer Supportive Care Drugs Market is expected to record a CAGR of 3.1% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 24,907.1 Million. By 2033, the valuation is anticipated to reach USD 32,783.2 Million.

The Cancer Supportive Care Drugs Market encompasses pharmaceuticals and therapies aimed at managing symptoms and side effects associated with cancer treatment. These drugs alleviate pain, nausea, anemia, and other adverse effects, enhancing patients’ quality of life during cancer therapy.

With the increasing prevalence of cancer globally and advancements in cancer treatment modalities, the demand for supportive care drugs continues to grow. This market also includes supportive care services, such as counselling and nutritional support.

Companies invest in research and development to innovate new drugs and therapies, contributing to the expansion and evolution of the Cancer Supportive Care Drugs Market.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=45054
DOI: 10.7910/dvn/a9drwd
title: ChatGPT-supported learning (N=336)

description: ChatGPT-supported learning (N=336)
DOI: 10.7910/dvn/cboupu
title: Similarity of the cut score in test sets with different item amounts using the modified Angoff, modified Ebel, and Hofstee standard-setting methods for the Korean Medical Licensing Examination

description: The Korea Medical Licensing Exam (KMLE) typically contains a large number of items. The purpose of this study was to investigate whether there is a difference in the cut score between evaluating all items of the exam and evaluating only some items when conducting standard-setting. We divided the item sets that appeared on 3 recent KMLEs for the past 3 years into 4 subsets of each year of 25% each based on their item content categories, discrimination index, and difficulty index. The entire panel of 15 members assessed all the items (360 items, 100%) of the year 2017.
DOI: 10.7910/dvn/4boy79
title: D2Fipe: Uma base de dados para previsão de desvalorização do preço médio de veículos a partir da tabela FIPE

description: A indústria automotiva brasileira gerou aproximadamente R$ 80 bilhões em tributos em 2021 e representou 18% do Produto Interno Bruto (PIB). O estudo de modelos de previsão de desvalorização de veículos pode auxiliar vários setores da indústria automotiva como, por exemplo, locadoras e concessionárias podem definir o melhor momento para a venda do veículo. No entanto, apesar de relevante existem poucas base de dados de domínio público organizada em séries temporárias com a desvalorização dos preços dos veículos. Esse tipo de base de dados é essencial para construção de soluções de aprendizagem de máquina. O objetivo deste projeto foi construir uma base de dados pública com essa finalidade. O compartilhamento de dados de pesquisa possui vários benefícios dentre eles podemos destacar: é útil para treinar novos pesquisadores, investigar novos métodos, ajudar a identificar erros, e desencorajar fraudes.
DOI: 10.7910/dvn/c10viq
title: Data for Gender Dynamics and Critical Reception: A Study of Early 20th-century Book Reviews from The New York Times

description: A dataset of approximately 2,800 book reviews published in The New York Times between January 1, 1905 and December 31, 1925. Includes labels for presumed gender of the author under review.
description: Data and accompanying Python code available at https://github.com/mjlavin80/nyt-reviews-1905-1925-gender
DOI: 10.7910/dvn/eowgl8
title: Replication Data for "Process of (Re)Organization of Productive and Reproductive Work of Women in Confection" published by RAC-Revista de Administração Contemporânea

description: Data for "Process of (re)organization of productive and reproductive work of women in confection" published by RAC-Revista de Administração Contemporânea. A qualitative descriptive approach was used, with 23 semi-structured interviews.
description: Data is also available at: https://data.mendeley.com/datasets/wz7zk6jn3f/1