Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,392
datasets available to search
ShareScore release 0.9.0
Dataset results
1,392 results for “Accumulation”
Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer
<p>The dataset contains 4683 participants with all variables used for the analyses of paper “Premature Aging as an Accumulation of Deficits in Young Adult Survivors of Pediatric Cancer”. Here is the format for this data set.</p> <p><strong>proc</strong> <strong>format</strong>;</p> <p> value BMI3gf <strong>.</strong>="Missing" <strong>1</strong>="BIM <18.5" <strong>0</strong>="BIM 18.5 to <30" <strong>2</strong>="BIM>=30";</p> <p> value gender2gf <strong>.</strong>="Missing" <strong>1</strong>="Female" <strong>2</strong>="Male";</p> <p> value race3gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Non-Hispanic Black" <strong>3</strong>="Other";</p> <p> value race2gf <strong>.</strong>="Missing" <strong>1</strong>="Non-Hispanic White" <strong>2</strong>="Other";</p> <p> value edu5gf <strong>.</strong>="Missing" <strong>1</strong>="<High School" <strong>2</strong>="High School or GED" <strong>3</strong>="Some Training/College" <strong>4</strong>="College Degree" <strong>5</strong>="5: >College Degree";</p> <p> value emp3gf <strong>.</strong>="Missing" <strong>1</strong>="Unemployed" <strong>2</strong>="Part-time" <strong>3</strong>="Full-time";</p> <p> value mstat4gf <strong>.</strong>="Missing" <strong>1</strong>="Single, Never Married" <strong>2</strong>="Widowed" <strong>3</strong>="Divorced/Separated" <strong>4</strong>="Married/Living as Married";</p> <p> value hin3gf <strong>.</strong>="Missing" <strong>1</strong>="=<$19,999" <strong>2</strong>="$20,000-$59,999" <strong>3</strong>=">=$60,000";</p> <p> value smkf <strong>.</strong>="Missing" <strong>1</strong>="Former smoke" <strong>2</strong>="Now smoke" <strong>3</strong>="Never smoke";</p> <p> value scrn2gf <strong>.</strong>="Missing" <strong>1</strong>=">2 hours" <strong>0</strong>="<=2 hours";</p> <p> value vphact2gf <strong>.</strong>="Missing" <strong>0</strong>="Physical inactivity (<150)" <strong>1</strong>="Physical activity (>=150)";</p> <p> value yes1no0f <strong>.</strong>="Missing" <strong>1</strong>="Yes" <strong>0</strong>="No";</p> <p> value dgrp11gf <strong>.</strong>="Missing" <strong>0</strong>="No diagnosis" <strong>1</strong>="Acute lymphoblastic leukemia" <strong>2</strong>="Acute Myeloid Leukemia" <strong>3</strong>="CNS tumor" <strong>4</strong>="Neuroblastoma"</p> <p> <strong>5</strong>="Hodgkin lymphoma" <strong>6</strong>="Non-Hodgkin lymphoma" <strong>7</strong>="Osteosarcoma" <strong>8</strong>="Ewing sarcoma" <strong>9</strong>="Soft tissue sarcoma" <strong>10</strong>="Retinoblastoma"</p> <p> <strong>11</strong>="Wilms tumor" <strong>12</strong>="Others";</p> <p> value cran2gf <strong>.</strong>="Missing" <strong>1</strong>="0 to 2 Gy" <strong>2</strong>="> 2 Gy";</p> <p> value deathf <strong>.</strong>="Missing" <strong>1</strong>="Death" <strong>0</strong>="Censor";</p> <p> value DAI3gf <strong>.</strong>="Missing" <strong>1</strong>="Robust (DAI 0 to <0.2)" <strong>2</strong>="Pre-frail (DAI 0.2 to <0.35)" <strong>3</strong>="frailty (DAI >=0.35)";</p> <p> value ydx5gf <strong>.</strong>="Missing" <strong>1</strong>="<=1980" <strong>2</strong>="1981 to <=1990" <strong>3</strong>="1991 to <=2000" <strong>4</strong>=">2000";</p> <p> <strong>run</strong>;</p>
A large scale photonic matrix processor enabled by charge accumulation
<p>Integrated neuromorphic photonic circuits aim to power complex artificial neural networks (ANNs) in an energy and time efficient way by exploiting the large bandwidth and the low loss of photonic structures. However, scaling photonic circuits to match the requirements of modern ANNs still remains challenging. In this perspective, we give an overview over the usual sizes of matrices processed in ANNs and compare them with the capability of existing photonic matrix processors. To address shortcomings of existing architectures, we propose a time multiplexed matrix processing scheme which virtually increases the size of a physical photonic crossbar array without requiring any additional electrical post-processing. We investigate the underlying process of time multiplexed incoherent optical accumulation and achieve accumulation accuracy of 98.9% with 1 ns pulses. Assuming state of the art active components and a reasonable crossbar array size, this processor architecture would enable matrix vector multiplications with 16,000 × 64 matrices all optically on an estimated area of 51.2 mm<sup>2</sup>, while performing more than 110 trillion multiply and accumulate operations per second.</p>
LEADER (Leaf Element Accumulation from Deep Roots): a nondestructive phenotyping platform to estimate rooting depth in the field
<p>Data and code for figure generation for <strong>LEADER (Leaf Element Accumulation from Deep Roots): a nondestructive phenotyping platform to estimate rooting depth in the field</strong></p>
Reconstruction of Antarctic accumulation from 1801-2000 CE
<p>An annually resolved reconstruction of gridded snow accumulation anomalies over Antarctica, from 1801-2000 CE. </p><p>Reconstructions are generated using the Last Millennium Reanalysis data assimilation framework (Hakim et al., 2016; Tardif et al., 2019), a comprehensive ice core proxy database, and a multi-model ensemble of climate simulations. </p><p>We incorporate a database of water isotope (Stenni et al., 2017) and accumulation (Thomas et al., 2017) ice core records from the Pages 2k consortium, in addition to individual records from the South Pole ice core (Kahle et al., 2021), Derwael Ice Rise (Philippe et al., 2016), and the PIG2010, DIV2010, and THW2010 sites (Criscitiello et al., 2013). </p><p>The multi-model ensemble is constructed using nine CMIP5 Last Millennium Simulations: CCSM4 (Gent et al., 2011), iCESM (Brady et al., 2019), BCC-CSM1.1 (Wu et al., 2014), CSIRO Mk3L (Phipps et al., 2012), FGOALS-s2 (Bao et al., 2013), GISS-E2-R (Schmidt et al., 2014), HadCM3 (Collins et al., 2001), IPSL-CM5A-LR (Dufresne et al., 2013), and MPI-ESM (Gutjahr et al., 2019). </p>
Figure 4 in Accumulation of chromium, cadmium and arsenic in white-tailed sea-eagle feathers ( Haliaeetus albicilla) from the Danube Delta Biosphere Reserve and surrounding (Romania)
Figure 4. Accumulation level of cadmium identified in the feathers sorted by age.
The Acute and Accumulative Effects of Snack Foods on Exercise Recovery
ClinicalTrials.gov study NCT06363409. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Stingless Bee Honey Mouthrinse on Dental Plaque Accumulation
ClinicalTrials.gov study NCT06223243. IPD Sharing: YES. Countries: 1. Publications: 0.
Validation of New Therapeutic Targets to Prevent Collagen Accumulation During Cardiac Fibrosis: Procollagen C-proteinase Enhancers
ClinicalTrials.gov study NCT04820959. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Clinical Study to Evaluate the Effectiveness of an Experimental Toothpaste in Improving Gum Health and Reducing Plaque Accumulation
ClinicalTrials.gov study NCT07255040. IPD Sharing: YES. Countries: 1. Publications: 0.
Multiple Myeloma is a Hematologic Malignancy Characterized by the Accumulation of Malignant Plasma Cells in the Bone Marrow. Despite Advances in Treatment, Many Patients Experience Disease Relapse. Bi
ClinicalTrials.gov study NCT06888856. IPD Sharing: NO. Countries: 0. Publications: 0.
Following Lipectomy to Understand Adipose Tissue Re-accumulation
ClinicalTrials.gov study NCT00995631. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Accumulation of Dietary Bioactives and Prostate Cancer
ClinicalTrials.gov study NCT04046653. IPD Sharing: NO. Countries: 1. Publications: 0.
Fluid Administration and Fluid Accumulation in the Intensive Care Unit
ClinicalTrials.gov study NCT06258616. IPD Sharing: NO. Countries: 11. Publications: 0.
Dermatological Assessment of Primary Dermal Irritability Accumulated, Sensitization, Photoallergy and Photosensitization of a Scar Gel
ClinicalTrials.gov study NCT06723340. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Phase I Study of HY-2003 in the Subjects With Excessive Submental Fat Accumulation
ClinicalTrials.gov study NCT06756490. IPD Sharing: NO. Countries: 1. Publications: 0.
DPOS Versus GnRH Antagonist Protocol for Oocyte Accumulation in Low Ovarian Reserve Patients: An RCT
ClinicalTrials.gov study NCT05847283. IPD Sharing: NO. Countries: 1. Publications: 0.
Double Ovarian Stimulation as Accumulation Strategy for Older Infertile Patients With Suboptimal Ovarian Response
ClinicalTrials.gov study NCT03400722. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Novel Methodology to Measure Protein Accumulation
ClinicalTrials.gov study NCT01505621. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cold Water Immersion and Atherosclerosis, Inflammation, Fat Accumulation and Lipid Profile Parameters
ClinicalTrials.gov study NCT04642066. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Identification in Obese Patients of the Mechanism Involved in Intramuscular Lipid Accumulation
ClinicalTrials.gov study NCT01644942. IPD Sharing: Not stated. 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.