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17 results for “Vector map”
Vectorized Hydrogeology Map of Rondônia - Brazil
<p>Vectorized Hydrogeology Map for the State of Rondônia - Brazil.</p> <p>Hydrogeology map was vectorized from CPRM [SERVIÇO GEOLÓGICO DO BRASIL]. 1998. State of Rondônia Hydrogeological Map. [Porto Velho]. Map. Scale: 1:1.000.000. Programa de Recursos Hídricos - PRH. Available on https://rigeo.sgb.gov.br/handle/doc/5364.<br><br>Citation: CPRM [SERVIÇO GEOLÓGICO DO BRASIL]. 1998. State of Rondônia Hydrogeological Map. [Porto Velho]. Map. Scale: 1:1.000.000. Programa de Recursos Hídricos - PRH.</p>
Plasmid Maps for a Nuclear Transformation Vector in Chlamydomonas reinhardtii for the Expression and Secretion of the Plastic-Degrading Enzyme (PHL7)
<p><strong>pJP32PHL7 Vector:</strong></p> <ul> <li> <p><strong>Size:</strong> 5692 bp</p> </li> <li> <p><strong>Key Features:</strong></p> <ul> <li><strong>HSP70 Promoter:</strong> A heat shock protein promoter fused with the <em>rbcS2</em> promoter to drive expression of downstream genes.</li> <li><strong>Ble Resistance Gene:</strong> Confers resistance to bleomycin, useful for selection in <em>Chlamydomonas reinhardtii</em>.</li> <li><strong>PHL7 Gene:</strong> Encodes the plastic-degrading enzyme PHL7, inserted downstream of the <em>F2A</em> site for expression in the host.</li> <li><strong>Intron Sequences:</strong> Contains multiple <em>rbcS2</em> introns for enhancing expression in <em>Chlamydomonas</em>.</li> <li><strong>Selectable Marker (AmpR):</strong> Confers ampicillin resistance for selection in <em>E. coli</em>.</li> <li><strong>Replication Origin:</strong> Includes <em>ori</em> and <em>F1 ori</em> for replication in <em>E. coli</em>.</li> </ul> <p> </p> </li> <li> <p><strong>Applications:</strong> This vector is designed for nuclear transformation in <em>Chlamydomonas reinhardtii</em>, enabling the expression and secretion of the plastic-degrading enzyme (PHL7) under the control of a hybrid <em>HSP70</em>rbcS2 promoter.</p> </li> </ul> <p><strong>pJP32PHL7dg Vector:</strong></p> <ul> <li> <p><strong>Size:</strong> 5692 bp</p> </li> <li> <p><strong>Key Features:</strong></p> <ul> <li><strong>HSP70 Promoter:</strong> Retains the HSP70 and <em>rbcS2</em> fusion promoter for gene expression.</li> <li><strong>LacZ Alpha Fragment:</strong> Includes a LacZ alpha fragment for blue/white screening.</li> <li><strong>PHL7 Gene:</strong> Encodes the plastic-degrading enzyme PHL7, linked downstream of the <em>F2A</em> site, allowing for expression in the host.</li> <li><strong>Ble Resistance Gene:</strong> Also confers bleomycin resistance for selection in <em>Chlamydomonas</em>.</li> <li><strong>Selectable Marker (AmpR):</strong> Confers ampicillin resistance for selection in <em>E. coli</em>.</li> <li><strong>Intron Sequences:</strong> Contains <em>rbcS2</em> introns for optimizing gene expression in the host organism.</li> </ul> <p> </p> </li> <li> <p><strong>Applications:</strong> The pJP32PHL7dg vector is similarly designed for nuclear transformation in <em>Chlamydomonas reinhardtii.</em> It also facilitates the expression and secretion of the plastic-degrading enzyme PHL7, driven by the hybrid <em>HSP70</em>rbcS2 promoter, but without glycosilation sites.</p> </li> </ul>
Dataset for ICDAR 21 paper "Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction"
<p>This is the dataset of the ICDAR 2021 conference paper "Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction".</p>
High-Resolution Vector-borne Disease Infection Risk Mapping with Area-to-Point Kriging and Species Distribution Modeling - Datasets
<p>Datasets and notebooks used in the publication High-Resolution Vector-borne Disease Infection Risk Mapping with Area-to-Point Kriging and Species Distribution Modeling</p>
Interpolated maps of bird density and flight vector over Europe
<p>This dataset contains the interpolated values of bird density and bird flight speed (N-S and E-W) resulting from the methodology presented in [<em>reference</em>].The methodology is explained in less detail at <a href="https://rafnuss-postdoc.github.io/BMM/">rafnuss-postdoc.github.io/BMM</a>. The resulting interpolation is a probability distribution (define the probability of each value to occurs). Only the median, quantile 10 and 90 are given in this file. </p> <p>The spatio-temporal grid has a resolution of 0.2° in latitude (43°-68°) and longitude (-5°-30°) and 15 minutes in time (19 September to 10 October 2016), resulting in 127x176x2017 nodes. Over this large data cube, the estimation are only computed at the nodes located (1) over land, (2) within 200km of the nearest radar and (3) during nighttime.</p> <p>The same dataset can be visualised on a dedicated web interface: <a href="https://bmm.raphaelnussbaumer.com/">www.bmm.raphaelnussbaumer.com</a> and data can be queried on a API (<a href="https://github.com/Rafnuss-PostDoc/BMM-web#how-to-use-the-api">documentation</a>).</p> <p>The csv file is structured as a table with the following columns:</p> <ul> <li>density_estimation: Median bird density [bird/km^2] (quantile 50)</li> <li>density_quantile10: Quantile 10 of bird density [bird/km^2]</li> <li>density_quantile90: Quantile 90 of bird density [bird/km^2]</li> <li>speedu_estimation: Mean bird speed east(+)/west(-) [m/s]</li> <li>speedu_std: Standard deviation of bird speed east(+)/west(-) [m/s]</li> <li>speedv_estimation: Mean bird speed north(+)/south(-) [m/s]</li> <li>speedv_std: Standard deviation of bird speed north(+)/south(-) [m/s]</li> <li>latitude</li> <li>longitude</li> <li>time</li> </ul> <p> </p>
Data from: Topographic mapping of the interfaces between human and aquatic mosquito habitats to enable barrier-targeting of interventions against malaria vectors
Geophysical topographic metrics of local water-accumulation potential are freely available and have long been known as high resolution predictors of where aquatic habitats for immature Anopheles mosquitoes are most abundant, resulting in elevated densities of adult malaria vectors and human infection burden. Using existing entomological and epidemiological survey data, here we illustrate how topography can also be used to map out the interfaces between wet, unoccupied valleys and dry, densely populated uplands, where malaria vector densities and infection risk are focally exacerbated. These topographically identifiable geophysical boundaries experience disproportionately high vector densities and malaria transmission risk because this is where Anopheles mosquitoes first encounter humans when they search for blood after emerging or ovipositing in the valleys. Geophysical topographic indicators accounted for 67% of variance for vector density but only 43% for infection prevalence, so they could enable very selective targeting of interventions against the former but not the latter (targeting ratios of 9.0 versus 1.5 to 1, respectively). So in addition to being useful for targeting larval source management to wet valleys, geophysical topographic indicators may also be used to selectively target adult Anopheles mosquitoes with insecticidal residual sprays, fencing, vapour emanators or space sprays to barrier areas along their fringes.
Dataset and code for : "Representing Vector Geographic Information As a Tensor for Deep Learning Based Map Generalisation"
<p>Dataset and code supporting the experiment about map generation in the article: "Representing Vector Geographic Information As a Tensor for Deep Learning-Based Map Generalisation"</p>
A first high-quality vector data of buildings in East Asian countries based on a comprehensive large-scale mapping framework
<p>We generate a high-quality and complete vector data of buildings in East Asian regions, including China, Japan, North Korea, South Korea and Mongolia, filling the gaps in the existing public buildings data.</p>
Epidemiology of Cutaneous Leishmaniasis in Niger, Mali, Togo : Mapping of Clinical Cases, Species, Reservoirs and Vectors of the Disease
ClinicalTrials.gov study NCT06692985. IPD Sharing: UNDECIDED. Countries: 3. Publications: 16.
Data from: Topographic mapping of the interfaces between human and aquatic mosquito habitats to enable barrier-targeting of interventions against malaria vectors
Open the record for dataset details and reuse information.
Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance
<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement, are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K., Simons-Legaard, E., Weiskittel, A., Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>
An epigenetic map of Plasmodium gene expression during its developmental transition from host to vector
<p>bam data sets for the study published under </p> <p><a href="https://rdcu.be/b3y5X">https://rdcu.be/b3y5X</a></p> <p> </p>
An epigenetic map of malaria parasite development from host to vector
GEO Series GSE130278. Plasmodium berghei. 25 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Genome-wide maps of transcription in PNPO overexpression(OE) and empty vector(EV) cells in RAW264.7
GEO Series GSE193820. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Profile of gene expression in U87-MG xenografts expressing control vector (V0), the ubiquitin ligase KPC1 or the p50 subunit of the NF-kB transcription factor, using RNASeq analysis of transcripts map
GEO Series GSE60530. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide DNA accessibility mapping using ATAC-seq in HEK293 in vector control, PC4 knockdown and PC4 phosphorylation specific mutant and mimic
GEO Series GSE191333. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Mapping Transcriptomic Vector Field of Single Cells
GEO Series GSE193517. Homo sapiens. 1757 samples. Type: Expression profiling by high throughput sequencing; Other.
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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.