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73 results for “Life Project”
Chronobiology, Sleep Related Risk Factors and Light Therapy in Perinatal Depression: the Life-ON Project
ClinicalTrials.gov study NCT02664467. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Osteogenesis Imperfecta (OI) Quality of Life Survey Pilot Project 2
ClinicalTrials.gov study NCT02793063. IPD Sharing: NO. Countries: 1. Publications: 2.
Research Project About Psychological Strain, Quality of Life and Emotional Awareness in Patients With Tinnitus
ClinicalTrials.gov study NCT01837368. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project Arthritis Recovering Quality of Life Through Education 70+
ClinicalTrials.gov study NCT04058002. IPD Sharing: NO. Countries: 1. Publications: 21.
The SLeeping and Intake Methods Taught to Infants and Mothers Early in Life (SLIMTIME) Project
ClinicalTrials.gov study NCT00359242. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Project Osteoarthritis: Recovering Quality of Life Through Education
ClinicalTrials.gov study NCT01572051. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Mobile Health Interactive Software on Tuberculosis Outcomes; The Call for Life (CFLU-TB) Project
ClinicalTrials.gov study NCT04709159. IPD Sharing: NO. Countries: 1. Publications: 1.
Characterizing Cognitive Decline in Late Life Depression: The ADNI Depression Project
ClinicalTrials.gov study NCT02434393. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Project Arthritis Recovering Quality of Life Through Education - Hip
ClinicalTrials.gov study NCT04018690. IPD Sharing: NO. Countries: 1. Publications: 36.
Project Arthritis Recovering Quality of Life by Means Education II (PARQVE II)
ClinicalTrials.gov study NCT02335034. IPD Sharing: Not stated. Countries: 1. Publications: 11.
FWP Life History Project in the American South: Machine Readable Text and Metadata
<p>The data is created from documents in the Federal Writers’ Project (FWP) Papers, 1936-1940 held at The Southern Historical Collection at the Louis Round Wilson Special Collections Library at the University of North Carolina – Chapel Hill. From 1936-1939, writers were sent across the American South to record life histories as a part of the Southern Life History Project. Previously only PDFs, each life history has been transformed into a .txt file. The csv files include metadata about the life histories such as writer name along with their race and gender, interviewee name along with their race and gender, reviser along with race and gender, location of the interview, and year. The data was designed for a historical research project, so scholars made decisions about race and gender guided by their expertise on the era and the analytical questions driving the project. It should be noted that labeling people by race and gender is a complicated process and practice of power, so care should be taken when using these categories. The data only includes the life histories held at UNC-CH, so it is not a complete collection of all life histories conducted in the region. The data was created for the Photogrammar project with funding from an American Council of Learned Societies (ACLS) Digital Extension Grant. As a condition of the funding, the data is made available under a GNU Public License (GPL).</p> <p> </p>
Life Sciences dataset used in INFORE project, part 1
<p>Life Sciences dataset used in INFORE project, part 1</p> <p>The dataset comprises the output of several simulations of a model of tumor growth with different parameter values. The model is a multi-scale agent-based model of a tumor spheroid that is treated with periodic pulses of the cytokine tumor necrosis factor (TNF). The multi-scale model simulates processes including i) the diffusion, uptake, and secretion of molecular entities such as oxygen, or TNF; ii) the mechanical interaction between cells; and iii) cellular processes including cell life cycle, cell death models, signal transduction.</p> <p>The multi-scale model was implemented and simulated using the PhysiBoSS framework (Letort et al. 2019). The dataset corresponds to different examples of parameters combinations of our use case that correspond to the different panels of Figure 4 in Documentation folder. This figure comes from the paper in the same folder.<br> You can find a broad discussion of our use case in the Biological Use Case Documentation file. Also,<br> The results of the cell simulations can be found in example_XXX/run0/outputs. The results of the microenvironment simulations can be found in example_XXX/run0/microutputs.<br> Details on how these files are built can be found in Biological Use Case output format file (which is a snippet of the broad documentation file that I detached for your convenience). Briefly: each time step defined, the software writes an output and microutput file. For instance, ecm_t00030.txt correspond to time step 30. Each line of these files corresponds to a cell or microenvironment entity (oxygen, TNF, etc). Columns are defined by the first row for output folder. For the microutputs, the first three columns correspond to spatial coordinates and the fourth to the value of the density.</p> <p>The examples are:<br> - example_spheroid_TNF_nopulse: corresponds to Figure 4 A.<br> - example_spheroid_TNF_onepulse: corresponds to Figure 4 C.<br> - example_spheroid_TNF_pulse150: corresponds to Figure 4 D left. This is the simulation outcome desired: proliferative cells die out with increasing number of pulses of TNF.<br> - example_spheroid_TNF_pulse600: corresponds to Figure 4 D right.<br> - example_spheroid_TNF_pulsecont: corresponds to Figure 4 B.<br> - example_cells_with_ECM_mutants: does NOT correspond to Figure 4. This is an example in which microutput folder is full of two entities: oxygen and ECM. Also, in this example you can find a folder (ECM_mut) with the kind of visualisation that we perform to showcase results.<br> - example_spheroid_TNF_pulsecont_oxy: 21 simulations with slightly different oxygen tolerance conditions using as a base the simulation with one continuous pulse (Figure 4 B from the presentation).<br> The only difference among parameters file is the "oxygen_necrotic" value, which controls the threshold above which cells commit to necrosis due to lack of oxygen. In the original simulation this value was zero and the maximum available oxygen is 40 fg/µm^3. Here, we have studied the parameter value from 0 to 40 in steps of 5.</p>
Life Sciences dataset used in INFORE project, part 2
<p>Life Sciences dataset used in INFORE project, part 2</p> <p>The dataset comprises the output of several simulations of a model of tumor growth with different parameter values. The model is a multi-scale agent-based model of a tumor spheroid that is treated with periodic pulses of the cytokine tumor necrosis factor (TNF). The multi-scale model simulates processes including i) the diffusion, uptake, and secretion of molecular entities such as oxygen, or TNF; ii) the mechanical interaction between cells; and iii) cellular processes including cell life cycle, cell death models, signal transduction.</p> <p>The multi-scale model was implemented and simulated using the PhysiBoSS framework (Letort et al. 2019). The dataset corresponds to different examples of parameters combinations of our use case that correspond to the different panels of Figure 4 in Documentation folder. This figure comes from the paper in the same folder.<br> You can find a broad discussion of our use case in the Biological Use Case Documentation file. Also,<br> The results of the cell simulations can be found in example_XXX/run0/outputs. The results of the microenvironment simulations can be found in example_XXX/run0/microutputs.<br> Details on how these files are built can be found in Biological Use Case output format file (which is a snippet of the broad documentation file that I detached for your convenience). Briefly: each time step defined, the software writes an output and microutput file. For instance, ecm_t00030.txt correspond to time step 30. Each line of these files corresponds to a cell or microenvironment entity (oxygen, TNF, etc). Columns are defined by the first row for output folder. For the microutputs, the first three columns correspond to spatial coordinates and the fourth to the value of the density.</p> <p>The examples are:<br> - example_spheroid_TNF_nopulse: corresponds to Figure 4 A.<br> - example_spheroid_TNF_onepulse: corresponds to Figure 4 C.<br> - example_spheroid_TNF_pulse150: corresponds to Figure 4 D left. This is the simulation outcome desired: proliferative cells die out with increasing number of pulses of TNF.<br> - example_spheroid_TNF_pulse600: corresponds to Figure 4 D right.<br> - example_spheroid_TNF_pulsecont: corresponds to Figure 4 B.<br> - example_cells_with_ECM_mutants: does NOT correspond to Figure 4. This is an example in which microutput folder is full of two entities: oxygen and ECM. Also, in this example you can find a folder (ECM_mut) with the kind of visualisation that we perform to showcase results.<br> - example_spheroid_TNF_pulsecont_oxy: 21 simulations with slightly different oxygen tolerance conditions using as a base the simulation with one continuous pulse (Figure 4 B from the presentation).<br> The only difference among parameters file is the "oxygen_necrotic" value, which controls the threshold above which cells commit to necrosis due to lack of oxygen. In the original simulation this value was zero and the maximum available oxygen is 40 fg/µm^3. Here, we have studied the parameter value from 0 to 40 in steps of 5.</p>
F I G U R E 8 in Global warming is projected to lead to increased freshwater growth potential and changes in pace of life in Atlantic salmon Salmo salar
F I G U R E 8 Projected change in age-at-smoltification under the three shared socioeconomic pathways and representative concentration pathways: (a) SSP1-RCP2.6 (green), (b) SSP3-RCP7.0 (orange), and (c) SSP5-RCP8.5 (red) for juvenile Atlantic salmon in the Burrishoole. The grayshaded area represents the historical reference (2000 to 2020), and the red vertical line represents the historical average.
Implementing Life Cycle Assessment (LCA) for Columns and Beams in Building Renovation Projects
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Idrabel tubes installation project LIFE SEDREMED
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Bactap installation project LIFE SEDREMED
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Ekogrid installation project LIFE SEDREMED
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Linked collectors and determiners for: Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data.
Natural history specimen data linked to collectors and determiners held within, "Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f29ab192-5964-40ae-a397-fa48ffdf0661">https://bionomia.net/dataset/f29ab192-5964-40ae-a397-fa48ffdf0661</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f29ab192-5964-40ae-a397-fa48ffdf0661">https://gbif.org/dataset/f29ab192-5964-40ae-a397-fa48ffdf0661</a>. Formatted as a Frictionless Data package.
Figure 1 from: Wesener T, Voigtländer K, Decker P, Oeyen JF, Spelda J, Lindner N (2015) First results of the German Barcode of Life (GBOL) – Myriapoda project: Cryptic lineages in German Stenotaenia linearis (Koch, 1835) (Chilopoda, Geophilomorpha). In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 15-29. https://doi.org/10.3897/zookeys.510.8852
Figure 1 - Maximum likelihood tree, 1000 bootstrap replicates. L1–L3 = Stenotaenia linearis lineages 1–3; NRW = North Rhine-Westphalia; Baden-W = Baden-Württemberg. Stenotaenia 'sorrentina' comes from GenBank and might refer to Stenotaenia forficularis. For exact locality data, see Table 1.
ScienceDex guides
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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.