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GlioVis
Web application for data visualization and analysis to explore brain tumors expression datasets.Used to help researchers and clinicians to rapidly access data relevant to brain tumor research.
- Resource
- RRID
- 2 years ago - by Anonymous
Administrative division codes of China
The Codes for the Administrative Divisions of China define 6-digit codes for each of the administrative regions from the province level down to the county level.
- Resource
- RRID
- 2 years ago - submitted by xianhui ran
Statistical and Urban-Rural Division Codes of China
Division codes for statistic use consist of administrative division codes and another 6 digits to identify administrative divisions of China.
- Resource
- RRID
- 2 years ago - submitted by xianhui ran
Atlas Ontology Model
Ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures. Identifies and defines relationships between four common atlases and characterizes their properties and organization. This model can serve as suggestion for minimum requiremens for atlases and will accelerate neuroscience data integration.
- Resource
- SciCrunch
- 2 years ago - submitted by Edyta Vieth
Creighton University; Nebraska; USA
Private Jesuit research university in Omaha, Nebraska bridging health, law, business and arts and sciences for more just world.
- Resource
- RRID
- 2 years ago - submitted by Edyta Vieth
B6CBAF1/JRj mouse
Wildtype F1 hybrid mouse strain between female C57BL/6JRj and male CBA/JRj (from Janvier Labs)
- Resource
- RRID
- 2 years ago - submitted by Aaron Wong
Anti-PD-L1 antibody
PD-L1 antibody LS-C338364 is an unconjugated mouse monoclonal antibody to human PD-L1 (CD274 / B7-H1). Validated for IF and WB.
- Resource
- RRID
- 2 years ago - submitted by Haiyan Ren
Richard Test 3
Tool/Resource Public Description *
- Resource
- NIF
- 2 years ago - by Anonymous
Natural Scenes Dataset
A large-scale fMRI dataset conducted at ultra-high-field (7T) strength at the Center of Magnetic Resonance Research (CMRR) at the University of Minnesota. The dataset consists of whole-brain, high-resolution (1.8-mm isotropic, 1.6-s sampling rate) fMRI measurements of 8 healthy adult subjects while they viewed thousands of color natural scenes over the course of 30–40 scan sessions. While viewing these images, subjects were engaged in a continuous recognition task in which they reported whether they had seen each given image at any point in the experiment. These data constitute a massive benchmark dataset for computational models of visual representation and cognition, and can support a wide range of scientific inquiry.
- Resource
- dkNET
- 2 years ago - submitted by Maryann Martone
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