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9,882 results for “Scale”
A novel big data mining framework for reconstructing large-scale daily MAIAC AOD across China from 2000 to 2020
<p>This dataset contains the mean reconstructed MAIAC AOD and mean percentage of coverage of reconstructed MAIAC AOD across China from 2000 to 2020. </p>
Application of leaf size and leafing intensity scaling across subtropical trees
<p>Understanding the scaling between leaf size and leafing intensity (leaf number per stem size) is crucial for comprehending theories about the leaf costs and benefits in the leaf size–twig size spectrum. However, the scaling scope of leaf size vs. leafing intensity changes along the twig leaf size variation in different leaf habit species remains elusive. Here, we hypothesize that the numerical value of scaling exponent for leaf mass versus leafing intensity in twig is governed by the minimum leaf mass versus maximum leaf mass (<i>M</i><sub>min</sub> vs. <i>M</i><sub>max</sub>) and constrained to be ≤ -1.0.</p> <p>We tested this hypothesis by analyzing the twigs of 123 species datasets complied in the subtropical mountain forest. The standardized major axis regression (SMA) analyses showed the <i>M</i><sub>min</sub> scaled as the 1.19 power of <i>M</i><sub>m</sub><sub>ax</sub> and the -a (-1.19) was not statistically different from the exponents of <i>M</i><sub>min</sub><i> </i>vs. leafing intensity in whole data. Across leaf habit groups, the <i>M</i><sub>max</sub> scaled negatively and isometrically with respect to leafing intensity. The pooled data's scaling exponents ranged from -1.14 to -0.96 for <i>M</i><sub>min</sub> and <i>M</i><sub>max</sub> vs. the leafing intensity based on stem volume (LIV). In the case of <i>M</i><sub>min</sub> and <i>M</i><sub>max</sub> vs. the leafing intensity based on stem mass (LIM), the scaling exponents ranged from -1.24 to -1.04.</p> <p>Our hypothesis successfully predicts that the scaling relationship between leaf mass and leafing intensity is constrained to be ≤ -1.0. More importantly, the lower limit to scaling of leaf mass and leafing intensity maybe closely correlate with <i>M</i><sub>min</sub> vs. <i>M</i><sub>max</sub>. Besides, constrained by the maximum leaf mass expand, the broad scope range between leaf size and number may be insensitive to leaf habit groups in subtropical mountain forest.</p>
Large-scale supplemental feeding alters lay date and nest survival in Eastern Bluebirds but not in two species of chickadees
<p>Wild bird feeding is a popular and growing activity, with approximately half of households participating in nations including the United States, Canada, the United Kingdom, New Zealand, and Australia. Supplemental feeding can increase survival and reproductive success of birds (which is often a goal of supplemental feeding efforts), but it raises concerns about phenological mismatch, reduced clutch size, or increased risk of nest predation. Our objectives were to test whether access to supplemental food during the breeding season was correlated with (1) advanced egg-laying phenology, (2) increased clutch size, or (3) improved nest survival of 3 cavity-nesting species (Carolina Chickadee, <i>Poecile carolinensis</i>; Black-capped Chickadee, <i>P. atricapillus</i>; and<i> </i>Eastern Bluebird, <i>Sialia</i> <i>sialis</i>) at a large spatial scale (United States and Canada; 22 degrees latitude difference and 55 degrees longitude difference). We examined data from 24,528 nest attempts submitted to NestWatch from 2014–2019. For Eastern Bluebirds, birds with access to supplemental insects initiated clutches 5.83 (± 0.89 SE) days earlier than birds without access to food subsidies, while predicted nest survival was 5% greater for birds with access to supplemental insects (probability of nest success = 0.79, 95% CI = 0.77–0.81) when compared to birds without (0.74, 95% CI = 0.72–0.75). Clutch size of Eastern Bluebirds did not differ between birds with and without access to supplemental insects. For chickadees, supplemental feeding (of seeds, suet, insects, or fruit) was not correlated with phenology, clutch size, or nest survival. <span>Our results suggest that supplemental feeding of insects can be an effective tool for increasing nest survival in Eastern Bluebirds and potentially other food-limited insectivores. However, the efficacy of supplemental feeding for improving reproductive success varies across <a>taxa</a></span><span>. </span>Our results can help elucidate how wild bird feeding contributes to global phenomena such as earlier nesting, nest survival, and population <a>change</a>.</p>
Storm-scale and fine-scale boundary layer structures of tropical cyclones simulated with the WRF-LES framework
<p>The numerical simulations were carried out on the Tianhe Supercomputer, China. The TCBL data used in this study are uploaded here. Due to the large number, the original simulation data are available on request (liuqy@cma.gov.cn or liguangwu@fudan.edu.cn).</p>
Detection of bow echoes in French kilometer-scale models (AROME-EPS & AROME models of Météo-France)
<p>To detect bow echoes (BE) directly in simulated reflectivity fields from French kilometer-scale models, three datasets are available. These datasets allowed for fitting and testing a univariate U-Net (convolutional neural network) using simulated reflectivity fields.</p> <p>Grid area : 717x1121 grid points, Western Europe (12°W-16°E and 37.5°N-55.4°N, resolution 0.025°)</p> <p>In each tar.gz file, files named 'input_BE' are reflectivity fields from operational models (in mm per hour), 'groundTruth' files correspond to manually labeled contours of BE (field with 1 for each grid point in BE and 0 for outside). The file format is HDF5. HDF5 files contain an array of N fields (array shape : (N,1,717,1121))</p> <p>- dataset_train.tar.gz (N=6206): input and target fields to train the U-Net (<strong>only</strong> from the AROME-EPS model)</p> <p>- dataset_validation.tar.gz (N=2620): input and target fields to validate the U-Net (<strong>only</strong> from the AROME-EPS model). Training and validation databases contain independent weather case studies.</p> <p>- dataset_det_AROME.tar.gz (N=348): input and target fields to apply U-Net to the French deterministic AROME model (same grid than one of AROME-EPS). Weather case studies are the same than those in the validation database.</p> <p>- optimal_UNet_architecture.json : architecture of the optimal U-Net configuration</p> <p>- optimal_UNet_weights.h5 : weights of the trained optimal U-Net configuration</p> <p> </p>
Geometries for 'Linear-scaling implementation of multilevel Hartree-Fock theory'
<p>Geometry files (.xyz format) used in the paper '<em>Linear-scaling implementation of multilevel Hartree-Fock theory</em>'</p>
Meso-scale patterns of shallow convection in the trades: supplemental material
<p>Supplemental material to the dissertation: Meso-scale patterns of shallow convection in the trades</p> <ol> <li><em>ICON_EUREC4A_LES.mov</em><br> Animation of actual (GOES-16 ABI) and synthetic satellite images for the simulated period. GOES-16 ABI; ICON 624m; ICON 312m (from left to right)<br> </li> </ol>
High-Throughput-Methyl-Reading (HTMR) assay: A solution based on nucleotide methyl-binding proteins enables large-scale screening for DNA/RNA methyltransferases and demethylases
<p>Epigenetic therapy has significant potential for cancer treatment. However, few small potent molecules have been identified against DNA or RNA modification regulatory proteins. Current approaches for activity detection of DNA/RNA methyltransferases and demethylases are time-consuming and labor-intensive, making it difficult to subject them to high-throughput screening. Here, we developed a fluorescence polarization-based "High-Throughput Methyl Reading" (HTMR) assay to implement large-scale compound screening for DNA/RNA methyltransferases and demethylases-DNMTs, TETs, ALKBH5, and METTL3/METTL14. This assay is simple to perform in a mix-and-read manner by adding the methyl-binding proteins MBD1 or YTHDF1. The proteins can be used to distinguish FAM-labelled substrates or product oligonucleotides with different methylation statuses catalyzed by enzymes. Therefore, the extent of the enzymatic reactions can be coupled with the variation of FP binding signals. Furthermore, this assay can be effectively used to conduct a cofactor competition study. Based on the assay, we identified two natural products as candidate compounds for DNMT1 and ALKBH5. In summary, this study outlines a powerful homogeneous approach for high-throughput screening and evaluating enzymatic activity for DNA/RNA methyltransferases and demethylases that is cheap, easy, quick, and highly sensitive.</p>
Research data supporting article "Somatic mutation rates scale with lifespan across mammals"
<p>Data files supporting analyses described in the article "Somatic mutation rates scale with lifespan across mammals" (Cagan, Baez-Ortega et al., 2022).</p>
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
<p>Skeletal muscle repair is driven by the coordinated self-renewal and fusion of myogenic stem and progenitor cells. Single-cell gene expression analyses of myogenesis have been hampered by the poor sampling of rare and transient cell states that are critical for muscle repair, and do not inform the spatial context that is important for myogenic differentiation. Here, we demonstrate how large-scale integration of single-cell and spatial transcriptomic data can overcome these limitations. We created a single-cell transcriptomic dataset of mouse skeletal muscle by integration, consensus annotation, and analysis of 23 newly collected scRNAseq datasets and 88 publicly available single-cell (scRNAseq) and single-nucleus (snRNAseq) RNA-sequencing datasets. The resulting dataset includes more than 365,000 cells and spans a wide range of ages, injury, and repair conditions. Together, these data enabled identification of the predominant cell types in skeletal muscle, and resolved cell subtypes, including endothelial subtypes distinguished by vessel-type of origin, fibro/adipogenic progenitors defined by functional roles, and many distinct immune populations. The representation of different experimental conditions and the depth of transcriptome coverage enabled robust profiling of sparsely expressed genes. We built a densely sampled transcriptomic model of myogenesis, from stem cell quiescence to myofiber maturation and identified rare, transitional states of progenitor commitment and fusion that are poorly represented in individual datasets. We performed spatial RNA sequencing of mouse muscle at three time points after injury and used the integrated dataset as a reference to achieve a high-resolution, local deconvolution of cell subtypes. We also used the integrated dataset to explore ligand-receptor co-expression patterns and identify dynamic cell-cell interactions in muscle injury response. We provide a public web tool to enable interactive exploration and visualization of the data. Our work supports the utility of large-scale integration of single-cell transcriptomic data as a tool for biological discovery.</p>
A Large-scale Benchmark for Technical Debt Assessment
<p>This repository hosts the supplementary material of the paper entitled "A Large-scale Benchmark for Technical Debt Assessment". It comprises a very large-scale study on the Technical Debt of more than 55 million open-source Java files.</p>
57 Block--63k or 50k scale Maps of South Asia--additional 2--20251024
<p>89 new map files to add to the set of 63k/50k Maps of South Asia, Block 57. An updated Index Map for Block 57 is included in this set of maps.</p>
63 Block--63k or 50k scale Maps of South Asia--additional 2--20251024
<p>96 new map files to add to the set of 63k/50k Maps of South Asia, Block 63. An updated Index Map for Block 63 is included in this set of maps.</p>
56 Block--63k or 50k scale Maps of South Asia--additional 2--20251024
<p>13 new map files to add to the set of 63k/50k Maps of South Asia, Block 56. An updated Index Map for Block 56 is included in this set of maps.</p>
53 Block--63k or 50k scale Maps of South Asia--additional 1--20251024
<p>99 new map files to add to the set of 63k/50k Maps of South Asia, Block 53. An updated Index Map for Block 53 is included in this set of maps.</p>
39 Block--63k or 50k scale Maps of South Asia--additional 2--20251024
<p>48 new map files to add to the set of 63k/50k Maps of South Asia, Block 39. An updated Index Map for Block 39 is included in this set of maps.</p>
43 Block--63k or 50k scale Maps of South Asia--additional 2--20251024
<p>89 new map files to add to the set of 63k/50k Maps of South Asia, Block 43. An updated Index Map for Block 43 is included in this set of maps.</p>
79 Block--63k or 50k scale Maps of South Asia--additional 1--20240105
<p>77 new map files to add to the set of 63k/50k Maps of South Asia, Block 79. An updated Index Map for Block 79 is included in this set of maps.</p>
47 Block--63k or 50k scale Maps of South Asia--additional 1--20251024
<p>56 map files of add to the set of 63k/50k Maps of South Asia, Block 47. An updated Index Map for Block 47 is included in this set of maps.</p>
73 Block--63k or 50k scale Maps of South Asia--additional 1--20251024
<p>97 new map files to add to the set of 63k/50k Maps of South Asia, Block 73. An updated Index Map for Block 73 is included in this set of maps.</p>
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.