cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10055399
title: A PSICOMOTRICIDADE NO TRATAMENTO NAS DISFUNÇÕES DE CRIANÇAS COM SINDROME DE DOWN: UMA REVISÃO SISTEMÁTICA

description: A Síndrome de Down (SD) é uma anomalia congênita caracterizada pelos indivíduos que são acometidos por essa condição possuírem 47 cromossomos em suas células em vez de 46, como a maior parte da população, possuem pré- disposição para alterações de marcha, equilíbrio e tônus. A psicomotricidade consiste em aprimorar atos motores, enquanto desenvolve o lado interativo e social da criança seja ela portadora ou não da síndrome down, a psicomotricidade é a ciência que engloba um campo transdisciplinar, tendo como foco os estudos sobre as relações recíprocas e sistêmicas entre a motricidade e o psiquismo. O objetivo deste estudo foi investigar como a psicomotricidade ajuda nas disfunções das crianças portadoras de Síndrome de Down. Foi realizado uma pesquisa sistemática de ensaios clínicos randomizados nas bases de dados PubMed, Cochrane e PeDro, avaliando dados que dispõem como a psicomotricidade ajuda nas disfunções das crianças com síndrome de down. Efetuou-se uma análise qualitativa incluindo a qualidade metodológica e uma síntese sistemática dos dados. Foram incluídos na pesquisa 3 ensaios clínicos randomizados que abordaram a temática proposta. O recurso da psicomotricidade comparado com qualquer outro recurso não se destacará, pois terá os mesmos benefícios. O resultado atual não é satisfatório devido à falta de estudos que utilizem a psicomotricidade como tratamento principal, sendo assim futuramente tendo o aprofundamento da técnica em crianças com síndrome de down possamos ter outros resultados e conclusões.
DOI: 10.15139/s3/kamiwk
title: Clinical HPV Results

description: Results for HPV self-collection samples.
DOI: 10.5281/zenodo.10056702
title: MimiIWG FAIRv162 Temperature Trajectories

description: 1. Introduction
These files represent the source code and input files for the temperature trajectories used for the pairing of the MimiIWG integrated assessment model with the MimiFAIRv162 climate model. They serve as inputs for sensitivity analysis in Tan, Rennels, and Parthum 2023 "The Social Costs of Hydrofluorocarbons and the Benefits from Their Expedited Phasedown" with replication code for that paper here. 
They are used as automatically downloaded inputs to the MimiIWG_FAIRv162 repository, a dependency of the paper replication code.
Please see the publication and repositories for important details about methodology and assumptions before considering use and feel free to be in touch with the authors with any further questions or clarifications.
2. temp_trajectory_replication.zip
This folder holds all code and data to replicate the data outputs. Note that the Manifest.toml and Project.toml files are accessed by the source code to define the Julia environment and should not be modified.
data folder (data)
Data input files that define the emissions for the IWG EMF-22 scenarios including

dice_inputs_ch4 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/CH4N20emissions_annualversion.xls in CH4annual Tab Units of MtCH4
dice_inputs_n2o - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/CH4N20emissions_annualversion.xls in N2Oannual Tab Units of MtN2O
dice_inputs_land_co2 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/SCC_input_EMFscenarios.xls in LandCO2 tab Units of GtC per decade
dice_inputs_industrial_co2 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/SCC_input_EMFscenarios.xls in IndustrialCO2 tab Units of GtC per decade
src folder (src)
Source code files to produce files in mimiiwg_fairv162_temp_trajectories folder. To produce the output use Julia to run main.jl to produce the output files (~12GB) in an output folder created in the parent directory of main.jl.
3. mimiiwg_fairv162_temp_trajectories.zip
This folder holds input data files as produced by the src source code above. These are used as inputs for running the MimiIWG-FAIRv162 model.
There is one file per gas (CO2 and 11 HFCs) - socioeconomic scenario (5 EMF-22 scenarios) making 60 files, plus a key file. All files are in Arrow format for efficiency.
Each gas-scenario input file has the following specifications:

2237 sets of temperature trajectories, one for each FAIR constrained parameter set to be used in a Monte Carlo Analysis
within each set, one baseline temperature trajectory and one trajectory for a pulse of emissions (1GtC or 1 MtHFC) in a given year from 2005 to 2105 in five-year intervals
units are anomaly from pre-industrial in degrees Celsius
DOI: 10.5281/zenodo.10056703
title: MimiIWG FAIRv162 Temperature Trajectories

description: 1. Introduction
These files represent the source code and input files for the temperature trajectories used for the pairing of the MimiIWG integrated assessment model with the MimiFAIRv162 climate model. They serve as inputs for sensitivity analysis in Tan, Rennels, and Parthum 2023 "The Social Costs of Hydrofluorocarbons and the Benefits from Their Expedited Phasedown" with replication code for that paper here. 
They are used as automatically downloaded inputs to the MimiIWG_FAIRv162 repository, a dependency of the paper replication code.
Please see the publication and repositories for important details about methodology and assumptions before considering use and feel free to be in touch with the authors with any further questions or clarifications.
2. temp_trajectory_replication.zip
This folder holds all code and data to replicate the data outputs. Note that the Manifest.toml and Project.toml files are accessed by the source code to define the Julia environment and should not be modified.
data folder (data)
Data input files that define the emissions for the IWG EMF-22 scenarios including

dice_inputs_ch4 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/CH4N20emissions_annualversion.xls in CH4annual Tab Units of MtCH4
dice_inputs_n2o - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/CH4N20emissions_annualversion.xls in N2Oannual Tab Units of MtN2O
dice_inputs_land_co2 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/SCC_input_EMFscenarios.xls in LandCO2 tab Units of GtC per decade
dice_inputs_industrial_co2 - https://github.com/rffscghg/MimiIWG.jl repository at path MimiIWG/data/IWG_inputs/DICE/SCC_input_EMFscenarios.xls in IndustrialCO2 tab Units of GtC per decade
src folder (src)
Source code files to produce files in mimiiwg_fairv162_temp_trajectories folder. To produce the output use Julia to run main.jl to produce the output files (~12GB) in an output folder created in the parent directory of main.jl.
3. mimiiwg_fairv162_temp_trajectories.zip
This folder holds input data files as produced by the src source code above. These are used as inputs for running the MimiIWG-FAIRv162 model.
There is one file per gas (CO2 and 11 HFCs) - socioeconomic scenario (5 EMF-22 scenarios) making 60 files, plus a key file. All files are in Arrow format for efficiency.
Each gas-scenario input file has the following specifications:

2237 sets of temperature trajectories, one for each FAIR constrained parameter set to be used in a Monte Carlo Analysis
within each set, one baseline temperature trajectory and one trajectory for a pulse of emissions (1GtC or 1 MtHFC) in a given year from 2005 to 2105 in five-year intervals
units are anomaly from pre-industrial in degrees Celsius
DOI: 10.7488/ds/7535
title: ‘Life cycle assessment of a hinged raft wave energy converter in multiple utility-scale arrays’ - Supplementary Material: Life cycle model data

description: This dataset is published in relation to the manuscript ‘Life cycle assessment of a hinged raft wave energy converter in multiple utility-scale arrays’, under review for publication in The Journal of Power and Energy, Part A of the Proceedings of the Institution of Mechanical Engineers. This paper presents a life cycle assessment (LCA) of the Blue Horizon wave energy converter (WEC), deployed in four utility-scale arrays, including major array components (array cables, substation and export cable) and highly detailed vessel representation (types, modes and distances using modified background data processes scaled with specific fuel consumption). This dataset contains all of the foreground and background data necessary to replicate the findings of the study, as well as the derivation of the vessel conversion factors for modelling unit processes of vessel time, and the development of operation and maintenance data from literature.
DOI: 10.5281/zenodo.10058356
title: Dataset for "Public Health Benefits from Improved Identification of Severe Air Pollution Events with Geostationary Satellite Data"

description: Dataset for "Public Health Benefits from Improved Identification of Severe Air Pollution Events with Geostationary Satellite Data" to be published in GeoHealth doi: 10.1029/2023GH000890
DOI: 10.5281/zenodo.10059029
title: Health Facilities around Blantyre City

description: Geospatial datasets for the locations of health facilities around Blantyre city. These datasets encompass both public and private healthcare facilities.
DOI: 10.5281/zenodo.10059028
title: Health Facilities around Blantyre City

description: Geospatial datasets for the locations of health facilities around Blantyre city. These datasets encompass both public and private healthcare facilities.
DOI: 10.6084/m9.figshare.24468397.v1
title: OpenDengue : National extract V1.2

description: test
DOI: 10.5281/zenodo.10059001
title: Raw data for analysis in AI-NERD: Elucidation of Relaxation Dynamics Beyond Equilibrium Through AI-informed X-ray Photon Correlation Spectroscopy
DOI: 10.5281/zenodo.10059000
title: Raw data for analysis in AI-NERD: Elucidation of Relaxation Dynamics Beyond Equilibrium Through AI-informed X-ray Photon Correlation Spectroscopy
DOI: 10.21227/xdp2-yq87
title: MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data

description: urrently, a significant amount of research is focused on detecting Marine Debris and assessing its spectral behaviour via remote sensing, ultimately aiming at new operational monitoring solutions. Here, we introduce a Marine Debris Archive (MARIDA), as a benchmark dataset for developing and evaluating Machine Learning (ML) algorithms capable of detecting Marine Debris. MARIDA is the first dataset based on the multispectral Sentinel-2 (S2) satellite data, which distinguishes Marine Debris from various marine features that co-exist, including Sargassum macroalgae, Ships, Natural Organic Material, Waves, Wakes, Foam, dissimilar water types (i.e., Clear, Turbid Water, Sediment-Laden Water, Shallow Water), and Clouds. We provide annotations (georeferenced polygons/ pixels) from verified plastic debris events in several geographical regions globally, during different seasons, years and sea state conditions. A detailed spectral and statistical analysis of the MARIDA dataset is presented along with well-established ML baselines for weakly supervised semantic segmentation and multi-label classification tasks. MARIDA is an open-access dataset which enables the research community to explore the spectral behaviour of certain floating materials, sea state features and water types, to develop and evaluate Marine Debris detection solutions based on artificial intelligence and deep learning architectures, as well as satellite pre-processing pipelines.
DOI: 10.6084/m9.figshare.22793319
title: Discussion-based interprofessional education: A positive step toward promoting shared understanding between surgical residents and nurses

description: Interprofessional education during medical training may improve communication by promoting collaboration and the development of shared mental models between professions. We implemented a novel discussion-based intervention for surgical residents and nurses to promote mutual understanding of workflows and communication practices. General surgery residents and inpatient nurses from our institution were recruited to participate. Surveys and paging data were collected prior to and following the intervention. Surveys contained original questions and validated subscales. Interventions involved facilitated discussions about workflows, perceptions of urgency, and technology preferences. Discussions were recorded and transcribed for qualitative content analysis. Pre and post-intervention survey responses were compared with descriptive sample statistics. Group characteristics were compared using Fisher’s exact tests. Eleven intervention groups were conducted (2–6 participants per group) (<i>n</i> = 38). Discussions achieved three aims: Information-Sharing (learning about each other’s workflows and preferences), 2) Interpersonal Relationship-Building (establishing rapport and fostering empathy) and 3) Interventional Brainstorming (discussing strategies to mitigate communication challenges). Post-intervention surveys revealed improved nurse-reported grasp of resident schedules and tailoring of communication methods based on workflow understanding; however, communication best practices remain limited by organizational and technological constraints. Systems-level changes must be prioritized to allow intentions toward collegial communication to thrive.
DOI: 10.6084/m9.figshare.22828119
title: Clinical reasoning: What do nurses, physicians, and students reason about

description: Clinical reasoning is a core ability in the health professions, but the term is conceptualised in multiple ways within and across professions. For interprofessional teamwork it is indispensable to recognise the differences in understanding between professions. Therefore, our aim was to investigate how nurses, physicians, and medical and nursing students define clinical reasoning. We conducted 43 semi-structured interviews with an interprofessional group from six countries and qualitatively analysed their definitions of clinical reasoning based on a coding guide. Our results showed similarities across professions, such as the emphasis on clinical skills as part of clinical reasoning. But we also revealed differences, such as a more patient-centered view and a broader understanding of the clinical reasoning concept in nurses and nursing students. The explicit sharing and discussion of differences in the understanding of clinical reasoning across health professions can provide valuable insights into the perspectives of different team members on clinical practice and education. This understanding may lead to improved interprofessional collaboration, and our study's categories and themes can serve as a basis for such discussions.
DOI: 10.6084/m9.figshare.22828119.v1
title: Clinical reasoning: What do nurses, physicians, and students reason about

description: Clinical reasoning is a core ability in the health professions, but the term is conceptualised in multiple ways within and across professions. For interprofessional teamwork it is indispensable to recognise the differences in understanding between professions. Therefore, our aim was to investigate how nurses, physicians, and medical and nursing students define clinical reasoning. We conducted 43 semi-structured interviews with an interprofessional group from six countries and qualitatively analysed their definitions of clinical reasoning based on a coding guide. Our results showed similarities across professions, such as the emphasis on clinical skills as part of clinical reasoning. But we also revealed differences, such as a more patient-centered view and a broader understanding of the clinical reasoning concept in nurses and nursing students. The explicit sharing and discussion of differences in the understanding of clinical reasoning across health professions can provide valuable insights into the perspectives of different team members on clinical practice and education. This understanding may lead to improved interprofessional collaboration, and our study's categories and themes can serve as a basis for such discussions.
DOI: 10.6084/m9.figshare.22679038
title: Identifying the unique behaviors embedded in the process of interprofessional collaboration in the ICU

description: Interprofessional collaboration (IPC) is an important aspect of high-quality care in intensive care units (ICUs). The practice of IPC, however, is complex and the components that constitute IPC are not well defined. We sought to identify distinct behaviors embedded in clinician workflow that indicate engagement in the IPC process. We conducted a clinical ethnography in two ICUs in southeastern Michigan. From March 2017 to March 2019, we collected 31 hours of observations and completed 12 separate clinician shadowings and 12 interviews with ICU nurses, physicians, and respiratory therapists. We applied an iterative analytical approach to identify two types of IPC behaviors which we a priori labeled as “enablers” (i.e. the ways clinicians transition into or facilitate collaboration) and “collaborative activities” (i.e. behaviors clinicians use to directly collaborate with other professionals). 18 IPC behaviors were identified – ten “enablers” and eight “collaborative activities.” Specifically, the enablers include: active listening, approach, coordinating work, intraprofessional consultation, invitation, nonverbal accessibility, reflexive questioning, sending pages/call, validation, and verbal accessibility. The collaborative activities are: correction, fill in the gap, information exchange, negotiation, providing help, socializing, teaching/training, and troubleshooting. By identifying IPC behaviors embedded in clinician workflow, our results may support more focused assessments of IPC in practice and guide clinicians toward behaviors they can use to engage in the IPC process.
DOI: 10.6084/m9.figshare.22793319.v1
title: Discussion-based interprofessional education: A positive step toward promoting shared understanding between surgical residents and nurses

description: Interprofessional education during medical training may improve communication by promoting collaboration and the development of shared mental models between professions. We implemented a novel discussion-based intervention for surgical residents and nurses to promote mutual understanding of workflows and communication practices. General surgery residents and inpatient nurses from our institution were recruited to participate. Surveys and paging data were collected prior to and following the intervention. Surveys contained original questions and validated subscales. Interventions involved facilitated discussions about workflows, perceptions of urgency, and technology preferences. Discussions were recorded and transcribed for qualitative content analysis. Pre and post-intervention survey responses were compared with descriptive sample statistics. Group characteristics were compared using Fisher’s exact tests. Eleven intervention groups were conducted (2–6 participants per group) (<i>n</i> = 38). Discussions achieved three aims: Information-Sharing (learning about each other’s workflows and preferences), 2) Interpersonal Relationship-Building (establishing rapport and fostering empathy) and 3) Interventional Brainstorming (discussing strategies to mitigate communication challenges). Post-intervention surveys revealed improved nurse-reported grasp of resident schedules and tailoring of communication methods based on workflow understanding; however, communication best practices remain limited by organizational and technological constraints. Systems-level changes must be prioritized to allow intentions toward collegial communication to thrive.
DOI: 10.6084/m9.figshare.22679038.v1
title: Identifying the unique behaviors embedded in the process of interprofessional collaboration in the ICU

description: Interprofessional collaboration (IPC) is an important aspect of high-quality care in intensive care units (ICUs). The practice of IPC, however, is complex and the components that constitute IPC are not well defined. We sought to identify distinct behaviors embedded in clinician workflow that indicate engagement in the IPC process. We conducted a clinical ethnography in two ICUs in southeastern Michigan. From March 2017 to March 2019, we collected 31 hours of observations and completed 12 separate clinician shadowings and 12 interviews with ICU nurses, physicians, and respiratory therapists. We applied an iterative analytical approach to identify two types of IPC behaviors which we a priori labeled as “enablers” (i.e. the ways clinicians transition into or facilitate collaboration) and “collaborative activities” (i.e. behaviors clinicians use to directly collaborate with other professionals). 18 IPC behaviors were identified – ten “enablers” and eight “collaborative activities.” Specifically, the enablers include: active listening, approach, coordinating work, intraprofessional consultation, invitation, nonverbal accessibility, reflexive questioning, sending pages/call, validation, and verbal accessibility. The collaborative activities are: correction, fill in the gap, information exchange, negotiation, providing help, socializing, teaching/training, and troubleshooting. By identifying IPC behaviors embedded in clinician workflow, our results may support more focused assessments of IPC in practice and guide clinicians toward behaviors they can use to engage in the IPC process.
DOI: 10.6084/m9.figshare.24468397.v2
title: OpenDengue: National extract V1.2

description: test
DOI: 10.13023/kgs.data.8.9.2023
title: DVGQ Joint Data

description: A compilation of digitally vectorized joint data from the U.S. Geological Survey geologic quadrangle maps. Joint data was collected by USGS and KGS geologists using a compass during geologic mapping of the 7.5-minute quadrangle. Field notes of mappers are not available, therefore the orientation of joints was determined by a script written by KGS personnel during the digitization process.
description: The joint data was collected during the geologic mapping of the area from 1962 to 1977. The orientation of the joint measurements was determined during the digitization process. This data was then compiled and served on the KGS Map Service.
DOI: 10.6084/m9.figshare.24468397.v3
title: OpenDengue: National extract

description: test