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1,255 results for “High-resolution”

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zenodo12/100

Dataset related to article "High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis"

<p>This record contains raw data related to article "High-resolution analysis of mononuclear phagocytes reveals GPNMB as a prognostic marker in human colorectal liver metastasis"</p><p><strong>Abstract</strong></p><p>Patients with colorectal liver metastasis (CLM) present with heterogenous clinical outcomes and improved classification is needed to ameliorate the therapeutic output. Macrophages (Mϕ) hold promise as prognostic classifiers and therapeutic targets. Here, stemming from a single-cell analysis of mononuclear phagocytes infiltrating human CLM, we identified two Mϕ markers associated with distinct populations with opposite clinical relevance. The invasive margin of CLM was enriched in pro-inflammatory monocyte-derived Mϕ (MoMϕ) expressing the monocytic marker SERPINB2, and a more differentiated population, tumor-associated Mϕ (TAM), expressing glycoprotein nonmetastatic melanoma protein B (GPNMB). SERPINB2+ MoMϕ had an early inflammatory profile, whereas GPNMB+ TAMs were enriched in pathways of matrix degradation, angiogenesis, and lipid metabolism and were found closer to the tumor margin, as confirmed by spatial transcriptomics on CLM specimens. In a cohort of patients, a high infiltration of SERPINB2+ cells independently associated with longer disease-free survival (DFS; P = 0.033), whereas a high density of GPNMB+ cells correlated with shorter DFS (P = 0.012) and overall survival (P = 0.002). Cell-cell interaction analysis defined opposing roles for MoMϕ and TAMs, suggesting that SERPINB2+ and GPNMB+ cells are discrete populations of Mϕ and may be exploited for further translation to an immune-based stratification tool. This study provides evidence of how multi-omics approaches can identify nonredundant, clinically relevant markers for further translation to immune-based patient stratification tools and therapeutic targets. GPNMB has been shown to set Mϕ in an immunosuppressive mode. Our high dimensional analyses provide further evidence that GPNMB is a negative prognostic indicator and a potential player in the protumor function of Mϕ populations.</p>

restrictedNov 2023View details →
geo12/100

High-resolution transcriptional analysis of immunoglobulin variable regions reveals the absence of direct relationships between somatic hypermutation, nascent transcription and epigenetic marks [PRO-s

GEO Series GSE202041. Mus musculus; Homo sapiens; Drosophila melanogaster. 18 samples. Type: Other.

openGEO-OpenJun 2024View details →
geo12/100

Lack of genetic heterogeneity at high-resolution aCGH between primary breast cancers and their paired lymph node metastases

GEO Series GSE38888. Homo sapiens. 42 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenJan 2014View details →
geo12/100

Retrieving high-resolution chromatin interactions and decoding enhancer regulatory potential in silico

GEO Series GSE161636. Homo sapiens; Mus musculus. 2 samples. Type: Other.

openGEO-OpenDec 2021View details →
geo12/100

Iso-CUT&MAP (Isolated cell-based Cut Under Target and Mapping Apoptotic Protein-binding sequences): a novel strategy for high-resolution mapping of DNA binding sites

GEO Series GSE237814. Homo sapiens. 1 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2024View details →
zenodo8/100

Dataset related to article "High-Resolution Analysis of Mononuclear Phagocytes Reveals GPNMB as a Prognostic Marker in Human Colorectal Liver Metastasis"

<p>This record contains raw data related to article "High-resolution analysis of mononuclear phagocytes reveals GPNMB as a prognostic marker in human colorectal liver metastasis"</p><p><strong>Abstract</strong></p><p>Patients with colorectal liver metastasis (CLM) present with heterogenous clinical outcomes and improved classification is needed to ameliorate the therapeutic output. Macrophages (Mϕ) hold promise as prognostic classifiers and therapeutic targets. Here, stemming from a single-cell analysis of mononuclear phagocytes infiltrating human CLM, we identified two Mϕ markers associated with distinct populations with opposite clinical relevance. The invasive margin of CLM was enriched in pro-inflammatory monocyte-derived Mϕ (MoMϕ) expressing the monocytic marker SERPINB2, and a more differentiated population, tumor-associated Mϕ (TAM), expressing glycoprotein nonmetastatic melanoma protein B (GPNMB). SERPINB2+ MoMϕ had an early inflammatory profile, whereas GPNMB+ TAMs were enriched in pathways of matrix degradation, angiogenesis, and lipid metabolism and were found closer to the tumor margin, as confirmed by spatial transcriptomics on CLM specimens. In a cohort of patients, a high infiltration of SERPINB2+ cells independently associated with longer disease-free survival (DFS; P = 0.033), whereas a high density of GPNMB+ cells correlated with shorter DFS (P = 0.012) and overall survival (P = 0.002). Cell-cell interaction analysis defined opposing roles for MoMϕ and TAMs, suggesting that SERPINB2+ and GPNMB+ cells are discrete populations of Mϕ and may be exploited for further translation to an immune-based stratification tool. This study provides evidence of how multi-omics approaches can identify nonredundant, clinically relevant markers for further translation to immune-based patient stratification tools and therapeutic targets. GPNMB has been shown to set Mϕ in an immunosuppressive mode. Our high dimensional analyses provide further evidence that GPNMB is a negative prognostic indicator and a potential player in the protumor function of Mϕ populations.</p><p>&nbsp;</p>

restrictedNov 2023View details →
zenodo8/100

Geostatistics of the Borden Aquifer: High-Resolution Characterization using Direct Groundwater Velocity Measurements

<p>This dataset includes the final PVP analysis for the 409 groundwater velocity measurements conduced with PVPs across the measurement transect at the C.F.B. Borden Site, Ontario, Canada.&nbsp;</p>

restrictedFeb 2022View details →
zenodo8/100

High-resolution (3-km) ensemble WRF/WRF-Hydro simulation results for HRB, 2008-2011.

<p>The dataset stores the model results from the published paper of&nbsp;<a href="https://doi.org/10.1007/s00382-021-06044-9">https://doi.org/10.1007/s00382-021-06044-9</a>.</p> <p>It is used for&nbsp;personal archive of the simulation results.</p> <p>WRF and WRF-Hydro simulation&nbsp;with PBL schemes: YSU, MYJ, ACM2.&nbsp;</p> <p>With Tagging result, with 3D atmosphere variable for summer time.</p> <p>Calculated Water budgets in CSV.&nbsp;</p>

restrictedNov 2021View details →
zenodo8/100

High-resolution (250 m) dataset for drought assessment in India

<p><strong>We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Ig&uacute;zquiza et al., 2006),&nbsp;<br> and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.<br> The downscaled LST was then combined with EVI to evaluate various drought indices over India.&nbsp;</strong></p>

restrictedFeb 2022View details →
zenodo8/100

High-resolution (250 m) dataset for drought assessment in India

<p>We downscaled MODIS (MOD11A2) LST 1000 m to 250 m using the co-kriging method (Pardo-Ig&uacute;zquiza et al., 2006),&nbsp;<br> and calculated various agriculture drought indices from the downscaled LST and EVI at 250 m.<br> The downscaled LST was then combined with EVI to evaluate various drought indices over India.&nbsp;</p>

restrictedFeb 2022View details →
zenodo8/100

High-resolution (5 km) RCM data for Central Europe, 1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5

<p>High-resolution (5km) WRF output fields of temperature, precipitation, relative humidity, wind speed, and short-wave radiation for Central Europe,&nbsp;1980-2009 and 2020-2049, WRF 3.6.1 forced by ERA-Interim and MPI-ESM, RCP4.5.</p> <ul> <li>WRF_ERAI_*.nc: reanalysis data (WRF driven by ERA-Interim)</li> <li>WRF_MPI-ESM_*.nc: control and scenario data (WRF driven by MPI-ESM, RCP4.5)</li> <li>WRF_*_HGT.nc:&nbsp;elevation data for the three model domains</li> </ul>

restrictedJan 2019View details →
zenodo8/100

Data used in manuscript "High-resolution snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment".

<p>This directory contains the following datasets (all of which are further described in the manuscript):</p> <ol> <li>Snowline points (SLPs) derived from 194&nbsp; Landsat scenes using NDSI (binary) image clarification for the upper Langtang Valley.</li> <li>Validation data:<em> </em>manually delineated SLPs from 3 No. high-resolution orthoimages (CartoSat-1 and ALOS), and unspectral unmixing fSCA products derived from 3 No. Landsat scenes.</li> <li>Gridded data with daily clear-sky global irradiance for the upper Langtang Valley.</li> <li>Precipitation and temperature data:<em> </em>summary tables of precipitation and temperature in Kyanjing for the period 1999-2013, and precipitation gradients per sub-catchment.</li> </ol>

restrictedJun 2019View details →
zenodo8/100

Datasets for :Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.

<p>The datasets in this file were used to generate figures for the paper titled&quot;Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.</p> <p>The datasets include the hourly concentration of atmospheric composition and meteorological parameters in Nanjing Area.</p>

restrictedSep 2021View details →
zenodo8/100

High-resolution gene expression atlases of two contrasting major Greek olive (Olea europaea L.) tree cultivars for oil and table olives production

<p>This dataset contains the supplementary data of the &quot;<strong>High-resolution gene expression atlases of two contrasting major Greek olive (<em>Olea europaea </em>L.) tree cultivars for oil and table olives production</strong><strong>&quot; </strong>research article submitted to the &quot;<strong>Frontiers in Plant Science-Plant Bioinformatics</strong>&quot; journal.</p>

restrictedJan 2023View details →
zenodo4/100

High-resolution (250 m) dataset for drought assessment in India

<p>Downscaled Land Surface Temperature for the 2000-2017 period.&nbsp;</p>

restrictedFeb 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record