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15 results for “CGE”
AWESOME CGE scenarios and modelling outputs
<p>The primary goal of this analysis was to study the impacts of climate change on food security given the potential supply of alternative water sources: desalination and reused (treated) water within the WEFE nexus in the Mediterranean Sea Basin. Accordingly, the first step of the analysis is to explicitly introduce desalination and treated water into the global CGE model and database. Using the standard GTAP model (Corong, Hertel, McDougall, Tsigas, & van der Mensbrugghe, 2017) and GTAP10A dataset (Aguiar, Chepeliev, Corong, McDougall, & & van der Mensbrugghe, 2019), the water sector was divided into three main categories using the SplitCom application (Horridge, 2008) and including (a) natural water that refers to distribution of water, (b) desalinated water that refers mostly to seawater desalination and (c) treated water that refers primarily to wastewater and brackish water treatment. The resulting modelling framework is used as the basis of the second step, that assesses the externalities associated with the different water sources incorporated in the model.</p> <p>To introduce alternative water sources in the CGE, several assumptions were made. First, desalinated water is produced from the abundant resource – seawater and therefore the scarcity value that is attributed to depletable natural resources is not applicable. Accordingly, desalinated water production can be treated as a sector disaggregated from the existing water sector in the GTAP database. For example, the economic activities of the desalination sector were reported as part of the water sector in input-output tables (United Nations, 2008).</p>
Adsorption of N, He, and Ne on CGe nanoribbons for sensing and optoelectronic applications
<p>Research into nanomaterials yields numerous exceptional applications in contemporary science and technology. The subject of this investigation is a one-dimensional nanostructure, six atoms wide, featuring hydrogen-functionalized edges. The theoretical foundation of this study relies on Density Functional Theory (DFT) and is executed through the utilization of the Vienna Ab initio Simulation Package (VASP). The outcomes demonstrate the stability of adsorption configurations, along with the preservation of the hexagonal honeycomb lattice. The pristine configuration, characterized by a wide bandgap, is well-suited for optoelectronic applications, whereas adsorption configurations find their application in gas sensing. Nitrogen (N) adsorption transforms the semiconducting system into a semi-metallic one, with the spin-up state displaying semiconductor characteristics and the spin-down state exhibiting metallic attributes. The intricate multi-orbital hybridization is explored through the analysis of partial states. While the pristine system remains non-magnetic, N adsorption introduces a magnetic moment of 0.588 μ<sub>B</sub>. Examination of charge density differences indicates a significant charge transfer from N to the CGe substrate surface. Optical properties are systematically investigated, encompassing the dielectric function, absorption coefficient, and electron-hole density. Notably, the real part of the dielectric function displays negative values, a result that holds promise for future communication applications.</p>
Adsorption of N, He, and Ne on CGe nanoribbons for sensing and optoelectronic applications
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Single nuclei ATAC-seq (10X Genomics Chromium) of MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE167047. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
CUT&RUN (H3K27Ac3) in MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE201400. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
CUT&Tag (H3K4me3) in MGE, CGE, LGE and cortical regions from mouse (C57BL/6J) embryonic forebrain
GEO Series GSE201487. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Single-cell RNA-seq (Drop-seq) of MGE, CGE and LGE of E13.5 (MGE) and E14.5 (CGE, LGE) mouse embryos
GEO Series GSE103983. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq (10X Genomics Chromium) of MGE, CGE, cortical and subcortical regions of E13.5, E18.5 and P10 mice
GEO Series GSE104156. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Single-cell RNA-seq (10X Genomics Chromium) of LGE, MGE, CGE, and Cortex from mouse embryonic forebrain
GEO Series GSE190593. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Single cell RNA-seq (10X Genomics Chromium) of MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE167013. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
CUT&Tag (H3K27me3) in MGE, CGE, LGE and cortical regions from mouse (C57BL/6J) embryonic forebrain
GEO Series GSE201488. Mus musculus. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Hi-C in MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE201186. Mus musculus. 8 samples. Type: Other.
Capture-C in MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE201317. Mus musculus. 10 samples. Type: Other.
MGE, CGE, LGE and cortical regions from mouse embryonic forebrain
GEO Series GSE201494. Mus musculus. 31 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A GVC-type CGE Model
<p>This dataset is created from WIOD dataset. (See <a href="http://www.wiod.org/home">http://www.wiod.org/home</a>)</p> <p>The WIOD table of the year 2014 is aggregated into four regions ,the US, China, the European Union (EU28), and the rest of the world (ROW). Industries are aggregated into eighteen classifications according to ISIC Rev4 scheme. See aggregating.gms for details.</p> <p>.gdx files are aggregated MRIO table stored in GAMS and ready to run. The .txt file provide the calculation details of sliced value-added.</p> <p> </p>
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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.