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Dataset results
604 results for “Teams”
Get in Shape in the Team Research: Porukalla Kuntoon Tutkimus
ClinicalTrials.gov study NCT02413112. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Results of Pancreatic Operations After the Implementation of Multidisciplinary Team Conference (MDT):
ClinicalTrials.gov study NCT04237441. IPD Sharing: NO. Countries: 0. Publications: 0.
Developing an Intervention to Improve the Non-Technical Skills of the Cardiac Surgical Teams
ClinicalTrials.gov study NCT06257511. IPD Sharing: YES. Countries: 0. Publications: 0.
WECARE APD: Assessing a Single Multidisciplinary Team Visit for Atypical Parkinsonian Disorders
ClinicalTrials.gov study NCT06836921. IPD Sharing: NO. Countries: 0. Publications: 0.
A Dedicated Sedation Team for Paediatric Procedural Sedation
ClinicalTrials.gov study NCT04760249. IPD Sharing: Not stated. Countries: 0. Publications: 0.
A Shared Care Approach for Seriously Ill Cancer Patients Between General Practice, Discharge Department and a Specialist Palliative Care Team
ClinicalTrials.gov study NCT00594971. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Effect of Team Sports on the Risk of Thrombosis in Elderly Individuals in a Municipality Setting (TEAM-AGE)
ClinicalTrials.gov study NCT04611191. IPD Sharing: NO. Countries: 0. Publications: 0.
Galectin-3 Induces a Pro-degradative/inflammatory Gene Signature in Human Chondrocytes, Teaming Up with Galectin-1 in Osteoarthritis Pathogenesis
GEO Series GSE85254. Homo sapiens. 8 samples. Type: Expression profiling by array.
FAST Time-of-Flight Energy, Angle, Mass Spectrograph (TEAMS) Experiment Survey, Key Parameter (K0), PT5S Data
Data are derived from the FAST Time-of-flight Energy Angle Mass Spectrograph, TEAMS, Instrument that determines 3-Dimensional Distribution Functions of individual Ion Species over the Energy Range 1 eV to 12000 eV, within 2.5 s (one-half Spacecraft Spin). The Instrument consists of a toroidal Top-Hat Electrostatic Analyzer with instantaneous Acceptance of Ions over 360° in Polar Angle in 16 Sectors. Ions passing through the Electrostatic Analyzer are postaccelerated by up to 25 kV and then analyzed for Mass per Charge in a foil-based Time-of-Flight Analyzer. The Data used to construct CDF Data Products are derived from the Survey Data. Survey Data consists of four Mass Groups by 48 Energies by 64 Solid Angle Segments. The four Mass Groups are Hydrogen, H+, Oxygen, O+, singly-charged Helium, He+, and doubly-charged Helium, He++. Only the 16 Equatorial Angle Segments are used for the CDF Data Set. Each Equatorial Solid Angle Segment contains two (four) Samples at each Energy in the 32 (64) Sweep/Spin Mode. The full Angular Range is covered in Half of a Spin but the actual Time Resolution of the Survey Data Product depends upon the Telemetry Mode. In the highest Telemetry Mode Rate, Modes H+ and O+ Survey Data are read out every Half Spin. In the lowest Telemetry Mode Rate Mode, these Data are accumulated for four Spins. The minimum Accumulation Time included in the CDF is one Spin, so if the actual Accumulation Time is a Half Spin, two Data Points are averaged. Otherwise, the Full Resolution is included. In every Mode, He+ and He++ are accumulated twice as long as H+ and O+. To force the H+, O+, and He+ to have an equal Number of Data Points when H+ and O+ have twice the Time Resolution, each He+ Data Point is written twice consecutively in the File. The 3-D Plasma Distribution Function Analyzers with Time-of-Flight Mass Discrimination for CLUSTER, FAST,and Equator-S, E. Moebius, L.M. Kistler, M. Popecki, K. Crocker, M. Granoff, Y. Jiang, E. Satori, V. Ye, H. Reme, J.A. Sauvaud, A. Cros, A. Aoustin, T. Camus, J.L. Medale, J. Rouzaud, C.W. Carlson, J. McFadden, D. Curtis, H. Heetdirks, J. Croyle, C. Ingraham, E.G. Shelley, D.M. Klumpar, E. Hertzberg, B. Klecker, M. Ertl, F. Eberl, H. Kaestle, E. Kuenneth, P. Laeverenz, E. Seidenschwang, G. Parks, M. McCarthy, A. Korth, B. Graeve, H. Balsiger, U. Schwab, and M. Steinacher, Measurement Techniques for Space Plasmas: Particles, Geophys. Mono. Ser., 102, 243-248, 1998. The Time-of-Flight Energy, Angle, Mass Spectrograph (TEAMS) Experiment for FAST, D.M. Klumpar, E. Moebius, L.M. Kistler, M. Popecki, E.G. Shelley, E. Hertzberg, K. Crocker, M. Granoff, Li Tang, C.W. Carlson, J. McFadden, B. Klecker, F. Eberl, E. Kuenneth, H. Kaestle, M. Ertl, W.K. Peterson, and D. Hovestadt, Space Sci. Rev., 2001, 98, pages 197-291, doi:10.1023/A:1013127607414.
Evaluation of changes to work patterns in multidisciplinary cancer teams due to the COVID-19 pandemic: a national mixed-method survey study
<p>The survey responses evaluating changes to work patterns in multidisciplinary cancer teams due to COVID-19 were compiled into a SPSS dataset, and the qualitative responses into an excel spreadsheet.</p>
Tryptophan as a miR team organizer prevents colon cancer liver metastasis [colon]
GEO Series GSE212633. Mus musculus; synthetic construct. 4 samples. Type: Non-coding RNA profiling by array.
Dynamic of Gamers' Behaviors: In-Game Interactions and Friendships in Counter-Strike:Global Offensive and Team Fortress 2
<p>A large longitudinal datasets for in-game Interactions and friendships in Counter-Strike:Global Offensive and Team Fortress.</p> <p>Four CSV files were copressed and uploaded for two games. Two files (one for each game) provide players information in teams, and the other two files provides friendship networks with the date of friendship.</p> <p>They include the following attributes: </p> <p>- steam ID (interaction datasets)</p> <p>- community ID (Friendship datasets) </p> <p>- map start time (Unix timestamp), map country, and the total number of rounds for the player in the map since connecting.</p> <p>- team name,.</p> <p>- skills, ranks, and the skill change since the player joined a new map compared to the last map he joined.</p> <p>- win , loss points since a player joined a map, total wins, and total losses. </p> <p>- playing duration </p> <p>- country and city.</p> <p>- crawle time, inserted time. </p> <p> </p> <p> </p>
Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297.
<p>Data set from Dellafiore F, Caruso R, Conte G, Grugnetti AM, Bellani S, Arrigoni C. Individual-level determinants of interprofessional team collaboration in healthcare. J Interprof Care. 2019 Nov-Dec;33(6):762-767. doi: 10.1080/13561820.2019.1594732. Epub 2019 Apr 21. PMID: 31006297.</p> <p> </p> <p>This is the abstract:</p> <p>Interprofessional team collaboration (ITC) is pivotal for the safety and the quality of healthcare settings, being associated with higher staff and patient satisfaction. However, individual-level determinants (i.e. socio-demographic and working satisfaction) remain currently largely unexplored. This study aimed to describe the overall ITC (i.e. partnership, cooperation, coordination), identifying the individual-level determinants of each ITC domain. This study had a multicentre approach, using cross-sectional data collection. ITC was assessed using the Interprofessional Team Collaboration Scale II, Italian version (I-AITCS II). The determinants of ITC were investigated through multivariable linear regression models. The study results showed significant associations between the same ITC domains, as well as the important role of work satisfaction in determining cooperation and coordination. Physicians reported more inadequate partnership levels than other healthcare professionals. This study provides insights for future research and gives a useful description of the determinants of ITC for multi-stakeholder healthcare organizations.</p> <p> </p>
Conversation analysis of three cancer multidisciplinary teams
<p>Anonymised transcripts of individual patient-discussions in multidisciplinary meetings from across three cancer teams. </p>
Decision-making, interactions and complexity across three cancer multidisciplinary teams
<p>Observational data on team decision-making, interactions, size and disciplinary composition, and case complexity. </p>
Longitudinal intervention with a breast cancer multidisciplinary team
<p>Longitudinal observational intervention study conducted with a breast cancer team with one of the interventions being a meeting break.</p>
Hypnosis in the operating room: are anesthesiology teams interested and well-informed?
<p>A questionnaire with 21-items, based on a prior survey, was set up on an online platform. The medical and nursing anesthesiology staff of four Swiss academic and large regional hospitals (N=754) were invited to participate anonymously through e-mails sent by their hierarchy. Results were analyzed quantitatively and compared with those from the first publication of the survey in the USA. </p>
Tryptophan as a miR team organizer prevents colon cancer liver metastasis [small intestine]
GEO Series GSE212607. synthetic construct; Mus musculus. 4 samples. Type: Non-coding RNA profiling by array.
Complexity of patient-discussions in cancer multidisciplinary team meetings
<p>Observational data across three cancer teams on a newly developed tool that measures complexity of patient-discussions in cancer multidisciplinary team meetings.</p>
Decision-making across four cancer multidisciplinary teams
<p>Observational data of four cancer teams measuring quality of decision-making processes.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.