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148 results for “regional integration”
By a Silken Thread: regional banking integration and credit reallocation during Japan's lost decade
<p>This repository contains the data set and replication files for the paper</p> <p><a href="https://doi.org/10.1016/j.jinteco.2022.103579"><strong>By a Silken Thread: regional banking integration and credit reallocation during Japan’s lost decade</strong></a></p> <p>(doi.org/10.1016/j.jinteco.2022.103579) published in the Journal of International Economics.<br> </p> <p> </p> <p>ABSTRACT:</p> <p>Regional banking integration allows credit to be reallocated to regions with high credit demand. Using the natural experiment of Japan's lost decade, we show that this reallocation channel mitigated the real effects from the bank liquidity shock in prefectures with many bank-dependent small firms. We propose an instrument for modern-day regional banking integration that exploits the fact that regional segmentation of banking markets in Japan goes back to the institutions set up for silk export finance in the late 19th century. We illustrate how the difference between the OLS and IV estimates can provide information about unobserved cross-regional heterogeneity in bank-firm matches when only aggregate regional data is available. Our results highlight that well-integrated banking markets are important and complementary to bond markets in limiting macroeconomic asymmetries in a monetary union, in particular during major financial crises.</p> <p> </p> <p> </p> <p> </p>
Integrated hydrological model results for Lower Triangle Region in East River Watershed, Colorado, WYs 2016 and 2017
<p><strong>Summary</strong></p> <p>This data package contains numerical simulation results of integrated hydrology in Lower Triangle Region in East River Watershed, Colorado. The system is forced with <a href="https://daymet.ornl.gov/">DAYMET</a> precipitation and climate data of the region for the water years 2016 and 2017. The results are computed on triangular multi-resolution meshes with resolutions ranging from 10 meter to 80 meter. The purpose of the data is to assess the influence of surface-subsurface exchange on distributed and aggregated hydrological response.</p> <p><strong>Material and Methods</strong></p> <p>Data has been generated by the <a href="https://amanzi.github.io/">Advanced Terrestrial Simulator (ATS)</a> v1.0. The output format of ATS for spatially distributed data is <a href="https://www.hdfgroup.org/solutions/hdf5">HDF5</a> and can be viewed, for example, using <a href="https://hpc.llnl.gov/software/visualization-software/visit">VisIt</a> or <a href="https://www.paraview.org/">ParaView</a>. The format of point data is plain text.</p> <p><strong>README content</strong></p> <p>The uploaded files have been created using the unix split(1) command to limit the size of each individual package. Files can be merged under a unix system through:</p> <p><code>$ cat OZGEN_ETAL_2022.zip.partaa OZGEN_ETAL_2022.zip.partab OZGEN_ETAL_2022.zip.partac > output.zip</code></p> <p>Unzip via</p> <p><code>$ unzip output.zip</code></p> <p>or using a graphical environment.</p>
An Integrated Precipitation Product for the Arid and Semi-arid Regions of China
<p>We integrate various reanalysis, meteorological observation, and satellite precipitation datasets, including CRU (Climate Research Unit), MERRA2 (Modern-Eta Retrospective Analysis for Research and Applications version2), CMAP (Climate Prediction Center (CPC) integrated analysis of monthly precipitation), GPCP (Global Precipitation Climatology Project) and GPM (Global Precipitation Measurement), to create a new monthly precipitation product with a spatial resolution approximately 0.2° × 0.2° (latitude × longitude) during the period from 1980 to 2019 in ASRC. The new product was validated with observations at different temporal scales (e.g., monthly to yearly variability and trends). The results show that the new product improves the accuracy of precipitation with the lower bias of -1.1 mm month<sup>-1</sup>. The annual trend of integrated precipitation is 0.09 mm/year which is consistent with the trend of observation. </p>
Data from: Genomic integrity of Phyciodes butterfly species in a region of contact (Lepidoptera: Nymphalidae)
Open the record for dataset details and reuse information.
Data from: Contrasting patterns of population connectivity between regions in a commercially important mollusc Haliotis rubra: integrating population genetics, genomics and marine LiDAR data
Estimating contemporary genetic structure and population connectivity in marine species is challenging, often compromised by genetic markers that lack adequate sensitivity, and unstructured sampling regimes. We show how these limitations can be overcome via the integration of modern genotyping methods and sampling designs guided by LiDAR and SONAR data sets. Here we explore patterns of gene flow and local genetic structure in a commercially harvested abalone species (Haliotis rubra) from southeastern Australia, where the viability of fishing stocks is believed to be dictated by recruitment from local sources. Using a panel of microsatellite and genomewide SNP markers, we compare allele frequencies across a replicated hierarchical sampling area guided by bathymetric LiDAR imagery. Results indicate high levels of gene flow and no significant genetic structure within or between benthic reef habitats across 1400 km of coastline. These findings differ to those reported for other regions of the fishery indicating that larval supply is likely to be spatially variable, with implications for management and long-term recovery from stock depletion. The study highlights the utility of suitably designed genetic markers and spatially informed sampling strategies for gaining insights into recruitment patterns in benthic marine species, assisting in conservation planning and sustainable management of fisheries.
Data from: An integrated pathway for building regional phylogenies for ecological studies
Aims: Phylogenies are increasingly used in community ecology, biogeography and macroecology. However, sourcing a phylogeny comprising the entire species pool for a focal region can be difficult. Typically, a bespoke phylogeny must be created requiring considerable data manipulation and the use of many standalone software. Here we present a suite of methodological tools within the popular R environment that help to build molecular phylogenies appropriate for ecological studies with a regional focus. Innovation: Our R package regPhylo provides a pipeline to construct a Bayesian posterior distribution of time-calibrated trees suitable to address ecological questions. The novel contributions of regPhylo include options to: use prior phylogenetic knowledge through flexible topological constraints; include spatial metadata in sourcing DNA sequences; and include taxa without DNA sequences and then infer consequent phylogenetic uncertainty. Specifically, regPhylo helps researchers: retrieve DNA sequences; enhance available metadata; select DNA sequences based on their length or spatial proximity to the region of study; align sequences; and perform quality control. Output from the pipeline is a file ready to run in the Bayesian tree reconstruction software BEAST2, appropriate for estimating time-calibrated trees and including phylogenetic uncertainty for downstream analyses. Main conclusions: Overall, regPhylo improves the integration of popular standalone phylogenetic software into the flexible R environment. It provides a novel approach to include topological constraints based on prior knowledge, include taxa without DNA sequences, and select spatially appropriate DNA sequences. When coupled with a Bayesian tree-building process, our approach provides estimates of uncertainty in both topology and branch-lengths. We demonstrate the utility of the package by constructing a posterior distribution of time-calibrated phylogenies for the New Zealand marine ray-finned fishes (Actinopterygii) providing the unprecedented opportunity to include phylogenetic information in downstream ecological analyses for marine fishes in this region.
Data from: Integrating fuzzy logic and statistics to improve reliabile definition of biogeographic regions and transition zones
The present study uses the amphibian species of the Mediterranean Region to develop a consistent procedure based on fuzzy sets with which biogeographic regions and biotic transition zones can be objectively detected and reliably mapped. Biogeographical regionalizations are abstractions of the geographical organization of life on Earth that provide frameworks for cataloguing species and ecosystems, for answering basic questions in biogeography, evolutionary biology and systematics, and for assessing priorities for conservation. On the other hand, limits between regions may form sharply defined boundaries along some parts of their borders, whereas elsewhere they may consist of broad transition zones. The fuzzy set approach provided a heuristic way to analyze the complexity of the biota within an area; significantly different regions were detected whose mutual limits were sometimes fuzzy, sometimes clearly crisp. Most of the regionalizations described in the literature for the Mediterranean Region present a certain degree of convergence when they are compared within the context of fuzzy interpretation, as many of the differences found between regionalizations are located in transition zones, according to our case study. Compared to other classification procedures based on fuzzy sets, the novelty of our method is that both fuzzy logic and statistics are used together in a synergy in order to avoid arbitrary decisions in the definition of biogeographic regions and transition zones.
FIGURE 11 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 11. Chromosome IIIL of Simulium chimguazaense (female larva), showing fixed inversions IIIL-1, IIIL-2, and IIIL-3, relative to the sequence of S. muiscorum. The sequence for S. muiscorum can be obtained by alphabetically ordering fragments indicated by letters 'a' through 'j'; bm = basal marker, C = centromere, N.O. = nucleolar organizer.
FIGURE 4 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 4. Larva of Simulium chimguazaense. A. Head capsule, dorsal view. B. Head capsule, ventral view showing postgenal cleft. C. Hypostomal teeth, ventral view.
FIGURE 5 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 5. Chromosome IS of Simulium chimguazaense (female larva), showing fixed inversions IS-1 and IS-2; fb = fine bands.
FIGURE 10 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 10. Chromosome IIIS of Simulium chimguazaense (female larva). Bl = blister, C = centromere, ca = capsule, N.O. = location of nucleolar organizer in S. muiscorum, '2' = 2 bands.
FIGURE 9 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 9. Chromosome IIL of Simulium chimguazaense (female larva), with overlapping fixed inversions IIL-1 and IIL-2. The sequence for S. muiscorum can be obtained by alphabetically ordering fragments indicated by letters 'a' through 'h'. C = centromere, gB = gray band, j = jagged, Pb = parabalbiani, pu = puffing band.
FIGURE 8 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 8. Chromosome IIS of Simulium chimguazaense (female larva). Bu = bulge, C = centromere, RB = ring of Balbiani, tr = trapezoidal.
FIGURE 12 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 12. Chromosome IIIL of Simulium muiscorum (female larva). Limits of fixed inversions IIIL-1, IIIL-2, and IIIL-3, relative to the sequence of S. chimguazaense are shown. The sequence for S. chimguazaense can be obtained by alphabetically ordering fragments indicated by letters 'a' through 'j' The sex-differential region of S. muiscorum is indicated with a bracket (IIIL-4); bm = basal marker, C = centromere, hb = heteroband (X linked), N.O. = nucleolar organizer.
FIGURE 3 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 3. Scanning electron micrographs of pupal surface of Simulium chimguazaense. A. Terminal portion of abdomen, ventral view. B. Sternite VII showing microspines and hook. C. Tergite VIII showing spine combs and minute teeth. D. Tergite VII showing spine combs.
FIGURE 2 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 2. Scanning electron micrographs of pupa of Simulium chimguazaense. A. Cocoon, lateral view; inset shows details of silk. B. Thorax showing gills and trichomes, dorsal view. C. Surface of filament. D. Gill, inner lateral view. E. Surface of posterior 1/3 of thorax, showing microtubercles.
FIGURE 1 in Integrated taxonomy of a new species of black fly in the subgenus Trichodagmia (Diptera: Simuliidae) from the Páramo Region of Colombia
FIGURE 1. Terminalia of Simulium chimguazaense. A–C. Female. A. Genital fork, ventral view. B. Cercus and anal lobe, lateral view. C. Posterior portion of 9th sternite and hypogynial valves, ventral view. D, E. Male. D. Gonocoxite, gonostylus, and ventral plate, ventral view. E. Gonostylus, lateral view.
Integrated Modeling of Flow, Soil Erosion, and Nutrient Dynamics in a Regional Watershed: Assessing Natural and Human-Induced Impacts
<p>Attached file is the verification data for the submitted manuscript "Integrated Modeling of Flow, Soil Erosion, and Nutrient Dynamics in a Regional Watershed: Assessing Natural and Human-Induced Impacts" .</p>
Fig. 3 in Genomic integrity of Phyciodes butterfly species in a region of contact (Lepidoptera: Nymphalidae)
Fig. 3. Principal component analysis of 1,477 SNPs for 152 individuals. (A) The first two dimensions show P. pulchella as the most genetically distinct, with P. batesii intermediate between P. cocyta and P. pulchella. Two potential F1 hybrid individuals each appear between their likely parental species. (B) The third dimension shows P. batesii as genetically distinct from the other 3 species.
Fig. 2 in Genomic integrity of Phyciodes butterfly species in a region of contact (Lepidoptera: Nymphalidae)
Fig. 2. (A) Maximum likelihood consensus tree of 2443 SNPs for 156 individuals. Branches with <50% UFBoot support are collapsed and support of> 75% is indicated on branches. (B) STRUCTURE analyses of 1,477 SNPs with individuals aligned to SNP tree. (C) Membership in haplotype groups (Wahlberg et al. 2003a) from ML analysis of 633 bp of COI (Supplementary Fig. S2), with individuals aligned to SNP tree. Butterflies images are courtesy of Norbert Kondla.
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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)
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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.