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4,489 results for “transitivity”
Data for "Why are Mountaintops Cold? The Transition of Surface Lapse Rate on Dry Planets"
<p>Edited by Bowen Fan on 06/02/2023</p> <p>0. This Dataset is for the paper “Why are Mountaintops Cold? The Transition of Surface Lapse Rate on Dry Planets”. </p> <p>1. data_Fig1.mat: data for figure 1<br> lon: longitude<br> lat: latitude<br> Ts: surface temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> a: surface lapse rate (unit in %) for the cases in figure 1c<br> a1, a2, a3, a4, a5, a6: surface lapse rate (unit in %) for the cases in figure 1d<br> b1, b2, b3, b4, b5, b6, b7: surface lapse rate (unit in %) for the cases in figure 1e</p> <p>2. data_Fig2.mat: data for figure 2<br> GSW: net solar heating (unit in W/m2) as a function of longitude, latitude, and case. <br> GLW: atmospheric heating (unit in W/m2) as a function of longitude, latitude, and case.<br> TSK: surface emission (unit in W/m2) as a function of longitude, latitude, and case.<br> HFX: sensible cooling (unit in W/m2) as a function of longitude, latitude, and case.</p> <p>3. data_Fig3.mat: data for figure 3<br> LWS_diff: the difference of surface emission between highland and lowland <br> LWA_diff: the difference of atmospheric emission between highland and lowland <br> SH_diff: the difference of sensible heat flux between highland and lowland </p> <p>4. data_Fig4.mat: data for figure 4</p> <p>a1, a2, a3, a4: surface lapse rate (unit in %) for the cases in figure 4a<br> c1, c2: surface lapse rate (unit in %) for the cases in figure 4b</p> <p>5. data_FigS1.mat: data for supplementary figure 1<br> lon: longitude<br> lat: latitude<br> Ts: surface temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> a1, a2: surface lapse rate (unit in %) for the cases in figure S1c</p> <p>6. data_FigS2.mat: data for supplementary figure 2<br> lon: longitude<br> lat: latitude <br> HGT: surface elevation (unit in meter) as a function of longitude latitude. <br> a1, a2: surface lapse rate (unit in %) for the cases in figure S2b<br> b1, b2: surface lapse rate (unit in %) for the cases in figure S2c</p> <p>7. data_FigS3.mat: data for supplementary figure 3<br> lon: longitude<br> lat: latitude<br> T: near-surface air temperature (unit in K) as a function of longitude, latitude, and case. <br> Z: surface elevation (unit in meter) as a function of longitude latitude, and case. <br> U: near-surface zonal wind (unit in m/s) as a function of longitude, latitude, and case.<br> V: near-surface meridional wind (unit in m/s) as a function of longitude, latitude, and case.</p> <p>8. data_FigS4.mat: data for supplementary figure 4<br> GSW: net solar heating (unit in W/m2) as a function of longitude, latitude, and case. <br> GLW: atmospheric heating (unit in W/m2) as a function of longitude, latitude, and case.<br> LWS: surface emission (unit in W/m2) as a function of longitude, latitude, and case.<br> HFX: sensible cooling (unit in W/m2) as a function of longitude, latitude, and case.</p> <p>9. data_FigS3.mat: data for supplementary figure 5<br> Ts_local: surface temperature (unit in K) as a function of case and location (1 = highland, 2 = lowland).<br> Ps_local: surface pressure (unit in Pa) as a function of case and location.<br> T_local: atmospheric temperature profile as a function of height, case and location. <br> P_local: atmospheric pressure profile as a function of height, case and location. <br> T_ad: adiabatic atmospheric temperature profile as a function of height, case and location.</p> <p>10. data_FigS6.mat: data for supplementary figure 6<br> 10a. Cases with varied greenhouse forcing<br> SW_G LWA_G LWS_G SH_G: surface energy budgets from the GCM. The dimensions are location (1 for highland, 2 for lowland) and case.<br> LWA1_G, LWS1_G, SH1_G: surface energy budgets from the highland part of two-column model<br> LWA4_G, LWS4_G, SH4_G: surface energy budgets from the lowland part of two-column model<br> 10b. Cases with varied surface pressure<br> SW_A LWA_A LWS_A SH_A: surface energy budgets from the GCM. The dimensions are location (1 for highland, 2 for lowland) and case.<br> LWA1_A, LWS1_A, SH1_A: surface energy budgets from the highland part of two-column model<br> LWA4_A, LWS4_A, SH4_A: surface energy budgets from the lowland part of two-column model</p>
Data from: Reduction in nitrification during the early transition from conventional to organic farming practices
<p>Contributors</p> <ul> <li>@JacobRPrice</li> </ul>
Dataset for large-scale experiment of block-grain phase transition
<p>Dataset related to the manuscript “Block-grain phase transition in rock avalanches: insights from large-scale experiments”, submitted to the Journal of Geophysical Research: Solid Earth.</p> <p>The dataset provides the raw and processed data for the large-scale experiments of block-grain phase transition due to fragmentation, including parameters reflecting the dynamics, fragmentation, deposit.</p> <p><strong>S1_data_velocity</strong> provides the average velocity at the front, middle and tail of the moving mass determined by the laser ranging sensors under different experimental configurations.</p> <p><strong>S2_data_fragmentation</strong> provides the fragment size distribution and relative breakage ratio.</p> <p><strong>S3_data_deposit </strong>provides the parameters of deposit, including the runout distances, friction coefficients.</p> <p><strong>S4_data_seismic </strong>provides the parameters used to characterize the seismic signal excited by the moving mass, including the envelope curve, marginal spectrum and seismic energy.</p>
Reproduction package for the paper: "The effects of planetary day-night temperature gradients on He 1083 nm transit spectra"
<p>Material for the publication "The effects of planetary day-night temperature gradients on He 1083 nm transit spectra". <br>Hydrodynamic model snapshots (in Athena++ hdf5 format), as well as 3D post-processed species number densities (hdf5 format), and the synthetic spectra (in ascii format) of models A100%, A50%, and A10%. Also included, the radiative transfer post-processing software used in our study, the modified Athena++ setup files, and a notebook to replicate the presented figures.</p>
Telehealth Education Leveraging Electronic Transitions Of Care for COPD Patients
ClinicalTrials.gov study NCT05897125. IPD Sharing: YES. Countries: 1. Publications: 6.
VA Transitional Pain Service Study
ClinicalTrials.gov study NCT06223503. IPD Sharing: NO. Countries: 1. Publications: 4.
Substance Use Disorder (SUD)-Associated Infections' Treatment With Dalbavancin ENabling OUtpatient Transition
ClinicalTrials.gov study NCT04847921. IPD Sharing: NO. Countries: 1. Publications: 1.
CONSTELLATIONS Living Lab: Improving the Care Transitions of Older Adults Living with Neurocognitive Disorders
ClinicalTrials.gov study NCT06608589. IPD Sharing: NO. Countries: 1. Publications: 49.
Multiple Dose Study To Investigate The Effects Of Fesoterodine And Solifenacin On Gastrointestinal Transit
ClinicalTrials.gov study NCT00832650. IPD Sharing: Not stated. Countries: 1. Publications: 1.
MORE-PC: A 30-day Automated SMS Program to Support Post-discharge Transitions of Care
ClinicalTrials.gov study NCT05245773. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Frovatriptan as a Transitional Therapy in Medication Overuse Headache
ClinicalTrials.gov study NCT01044251. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Evaluation of Methods for Measuring Gastrointestinal Transit and Food Reward in Healthy Individuals - The PRESET Study
ClinicalTrials.gov study NCT03894670. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Nutritional Transition in the Maghreb and Prevention of Obesity and Non-communicable Diseases
ClinicalTrials.gov study NCT01844349. IPD Sharing: Not stated. Countries: 2. Publications: 5.
Transition to Adulthood in People With Muscular Dystrophy
ClinicalTrials.gov study NCT07101185. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of a Nurse-led Transitional Burns Rehabilitation Programme
ClinicalTrials.gov study NCT04517721. IPD Sharing: NO. Countries: 1. Publications: 45.
Transition cAre inteRvention tarGeted to High-risk patiEnts To Reduce rEADmission
ClinicalTrials.gov study NCT03496896. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The National Transition Evaluation Study
ClinicalTrials.gov study NCT05867745. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Success & Health Impacts For Transit Drivers During Onboarding
ClinicalTrials.gov study NCT03730792. IPD Sharing: NO. Countries: 1. Publications: 1.
Reducing Transition Drug Risk
ClinicalTrials.gov study NCT00370916. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Adapting Connect-Home Transitional Care for the Unique Needs of Persons With Alzheimer's Disease and Other Dementias and Their Caregivers
ClinicalTrials.gov study NCT05887388. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.