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253 results for “regional level”
Forecasted crop yield anomalies for NUTS3 level regions in the Pannonian Basin
<p>The datasets contain crop yield anomaly forecasts on NUTS3 level for the Pannonian Basin 2002-2016. The files contain the crop yield anomaly forecasts calculated one and two months before the harvest. Further information about the methodology can be found here:</p> <p>https://www.sciencedirect.com/science/article/pii/S0168192323002873</p>
Data from: Stable isotopes in the different trophic levels reveal regional divergence in dietary habits among Tibetan pastoralists
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Data from: How sea-level change mediates genetic divergence in coastal species across regions with varying tectonic and sediment processes
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A chromosome-level genome assembly of the highly heterozygous sea urchin Echinometra sp. EZ reveals adaptation in the regulatory regions of stress response genes
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Data from: Changes in levels of enzymes and osmotic adjustment compounds in key species and their relevance to vegetation succession in abandoned croplands of a semiarid sandy region
<p>Reclamation of cropland from grassland is regarded as a main reason for grassland degradation; understanding succession from abandoned cropland to grassland is thus crucial for vegetation restoration in arid and semiarid areas. Soil becomes dry when cropland is reverted to grassland, and enzyme and osmotic adjustment compounds may help plants to adapt to a drying environment. Croplands that were abandoned in various years on the Ordos Plateau in China, were selected for the analysis of the dynamics of enzymes and osmotic adjustment compounds in plant species during vegetation succession. With increasing number of years since abandonment, levels of superoxide dismutase<span> increased</span><span> in </span><i><span><span>Stipa</span></span></i><i><span><span> bungeana</span></span></i><span>, first decreased </span><span>and then increased in </span><i><span><span>Lespedeza</span></span></i><i><span><span> davurica</span></span></i><span> and </span><i><span><span>Artemisia f</span></span></i><i><span><span>rigida</span></span></i><span>, and fluctuated in </span><i><span><span>Heteropappus altaicus</span></span></i><span>. Levels</span> of<span> peroxidase and catalase in the four species fluctuated</span><span>;</span> levels of<span> proline, soluble sugar and soluble protein either</span><i> </i><span>decreas</span><span>ed</span><span> or</span><span> first </span><span>increase</span><span>d</span><span> and</span><span> then</span><span> generally decreased.</span> According to <span>a </span><span>drought resistance</span><span> index</span>, the <span>drought resistance of the </span><span>four </span><span>species</span><span> was </span><span>ranked in descending order as follows</span>: <i><span>S. bungeana </span></i><span>> </span><i><span>A. frigida </span></i><span>> </span><i><span>H. altaicus</span></i> <span>> </span><i><span>L. davurica</span></i>. The drought resistance ability of the different species was<span> closely linked with vegetation succession from communities dominated by annual and biennial species (with main accompanying species of </span><i><span><span>L.</span></span></i><i><span><span> davurica</span></span></i> <span>and</span><i><span><span> H. altaicus</span></span></i><span>) to communities dominated by perennial species (</span><i><span><span>S.</span></span></i><i><span><span> bungeana</span></span></i><span> and </span><i><span><span>A. f</span></span></i><i><span><span>rigida</span></span></i><span>) when soil became dry owing to increasing evapotranspiration after cropland abandonment. </span>The restoration of <i><span>S. bungeana </span></i>steppe after cropland abandonment on the Ordos Plateau<span> is recommended both as high-quality forage and for environmental sustainability</span>.</p>
Data from: Numbers and distribution of the Great Cormorant in Iceland: limitation at the regional and metapopulation level
We studied a metapopulation of great cormorant (Phalacrocorax carbo) in Iceland, using complete aerial censuses of nests in 25 years during 1975–2015. Age composition was estimated in 1998–2014 by ground surveys in September and February. Brood size was estimated from aerial photographs in 2007–2015. Weather, food, breeding habitat, and density were considered as explanatory variables when examining numerical and distributional changes in the cormorant metapopulation. In 1975–1990 total nest numbers changed little, very low numbers about 1992 were followed by an annual increase of 3.5% in 1994–2015. Total nest numbers were positively correlated with estimates of spawning stocks of cod and saithe and inversely related to the subpolar gyre index (SPG‐I). During the increase in 1994–2015, average colony size at first increased and then declined. Habitat use also changed: the proportion of nests on small rocky islets (skerries) at first declined, from 69% to 44% in 1995–2003 and then increased again to about 58% in 2012–2014. Habitat changes were probably a response to changed patterns of human disturbance. Breeding density, as nests per km2 sea <20 m deep, was rather uniform among five defined regions in 1975–1996. Thereafter, densities became much higher in two sheltered regions with kelp forests and in one mostly exposed region. A second exposed region remained low and in the third nest numbers declined markedly. Thus, carrying capacity was higher in sheltered regions where cormorant breeding had historically been depressed by human disturbance. Brood size varied little among regions but declined with the years from about 2.5 to 1.8. The proportion of juveniles in September (fecundity) declined in 1998–2015 from over 0.4 to 0.3 and was inversely correlated with year and nest numbers, if outlier years were excluded, suggesting resource limitation. Survival of juvenile cormorants in September–February was estimated at 0.471 ± 0.066 SE. Commercial fish stocks and climate indices were not correlated with the proportion of juveniles. Annual survival of adults (breeding and nonbreeding) was estimated from nest counts and age composition 1999–2014, as 0.850 ± 0.026 SE and showed no trend in 1998–2014. We conclude that the metapopulation of cormorants in Iceland was resource‐limited at two levels: fecundity at the regional and winter survival at the total level.
Optimising nature conservation outcomes for a given region-wide level of food production
<ol> <li>The land sharing-sparing framework aims to quantify the trade-off between food production and biodiversity conservation, but it has been criticised for offering, for reasons of simplicity, an unrealistically limited set of different land uses.</li> <li>Here, we develop the framework to evaluate a much larger suite of land-use strategies in which the areas and yields of three land-use compartments, natural habitat, high-yield farmland, and lower-yield farmland, are varied simultaneously. For two regions of England, we use functions that relate the local population density of breeding bird species to farm yield to simulate species-specific region-wide population sizes under each strategy.</li> <li>We find that geometric mean population size, averaged across all species, is maximised when farmland yields are higher than the current average yield, and when spared land combines both natural habitat and low-yield farmland. This conclusion is relatively insensitive to the maximum yield considered feasible under extreme land sparing, and holds across a range of region-wide food production targets. </li> <li>To some extent, our conclusion depends on which species groups were included in the assessment. Considered alone, farmland birds preferred a strategy with little or no natural habitat. Nonetheless, the optimal strategy was broadly consistent across all widely-recognised listings of species of conservation concern.</li> <li>Synthesis and applications. Our study looks at landscapes with a long history of agricultural use, and which have little remaining natural habitat, such as those found in lowland England. In these landscapes, conservation outcomes are likely to be maximised by mixed strategies in which high-yield production enables an increase in area of both natural habitat and low-yield farmland elsewhere in the region. </li> </ol>
Snow-Induced Perturbations in Nitrous Acid (HONO) Levels: Insights into Heterogeneous Reactions During Wintertime in Mid-Latitude Regions
<ol> <li>Variations in HONO, PM2.5, NO2, and HONO/NO2 concentrations data</li> <li>Time series data of pollutants</li> </ol>
Landslide susceptibility maps using ensemble machine learning models on basin and regional level in Lombardy, Italy
<p>A selection of landslide susceptibility maps computed through ensemble machine learning models for the basins of Val Tartano, Upper Valtellina and Valchiavenna, and on a regional level for the Lombardy region in Italy.</p> <p>A list of the used base machine learning methods:</p> <ul> <li>Random Forest,</li> <li>AdaBoost,</li> <li>Neural Networks.</li> </ul> <p>A list of the used ensemble models:</p> <ul> <li>Stacking,</li> <li>Blending,</li> <li>Soft Voting.</li> </ul> <p>A full list of the model combinations can be found in the "Case Studies" document.</p> <p>The maps are in WGS 84/ UTM zone 32N (EPSG:32632).</p> <p>The map production process details are discussed in Xu et al. 2024. If you use the dataset, please, cite also the paper:</p> <p><em>Qiongjie Xu, Vasil Yordanov, Lorenzo Amici & Maria Antonia Brovelli (2024) Landslide susceptibility mapping using ensemble machine learning methods: a case</em><br><em>study in Lombardy, Northern Italy, International Journal of Digital Earth, 17:1, 2346263, DOI:10.1080/17538947.2024.2346263</em></p> <p>The maps are produced as part of the "Geoinformatics and Earth Observation for Landslide Monitoring" Italy-Vietnam.</p> <p>The work is partially funded by the Italian Ministry of Foreign Affairs and International Cooperation within the project “Geoinformatics and Earth Observation for Landslide Monitoring” CUP D19C21000480001.</p> <p> </p>
Distribution. NW Colombia, between the Rio Atrato and the lower Rio Cauca (W of the Rio Cauca and the Mompos I) and Rio Magdalena (from the Uraba region, W of the Rio Cauca), and NE Choco Department, E of the Rio Atrato, from sea level to ¢.400 m. Small, introduced populations occur in Tayrona National Natural Park (15,000 ha) and on some small Is near Cartagena and in Panama, outside its natural distribution. in Callitrichiade
Distribution. NW Colombia, between the Rio Atrato and the lower Rio Cauca (W of the Rio Cauca and the Mompos I) and Rio Magdalena (from the Uraba region, W of the Rio Cauca), and NE Choco Department, E of the Rio Atrato, from sea level to ¢.400 m. Small, introduced populations occur in Tayrona National Natural Park (15,000 ha) and on some small Is near Cartagena and in Panama, outside its natural distribution.
Data files for the article "Bayesian hierarchical modeling of sea level extremes in the Finnish coastal region"
<p>This repository contains R data files required for reproducing the results from the article by Räty et al (2021) "Bayesian hierarchical modeling of sea level extremes in the Finnish coastal region", submitted to Nat. Hazards Earth Syst. Sci. See the README file for more details on the content of the files.</p>
The impact of Natural Variability on Regional Sea-Level Rise During the Satellite-Altimetry Era
<p>We share the datasets for each figure. Anyone can use the datasets under proper citation.</p>
Subspecies and Distribution. 1. p. pileatus Blyth, 1843 — NE India highlands S and E of the Brahmaputra River, in the states of Arunachal Pradesh, Assam, Meghalaya, and Nagaland (Karbi Anglong Plateau, Barail Range, and Khasi, Garo, Naga, and Jaintia Hills), and in NW Myanmar (W of the Chindwin River, S to Chin Hills Mts and Mt Victoria); the elevational range is 600-3000 m. 1. p. brahma Wroughton, 1916 — NE India, known only from the Dafla Hills, N of the Brahmaputra River, in Arunachal Pradesh State. 1: p. durga Wroughton, 1916 — E Bangladesh and NE India in the states of Assam, Mizoram, and Tripura (Naga Hills, Lakhimpur, Golaghat, Cachar Hills, Samaguting, and Sibsagar), adjoining the distribution of 7. p. pileatus to the N, but at lower elevations (i.e. from nearly sea level up to 600 m). 1. p. tenebricus Hinton, 1923 — NE India (Assam State) and Bhutan, in the Manas region N of the Brahmaputra River, with an elevational range of 100-2000 m. in Cercopithecidae
Subspecies and Distribution. 1. p. pileatus Blyth, 1843 — NE India highlands S and E of the Brahmaputra River, in the states of Arunachal Pradesh, Assam, Meghalaya, and Nagaland (Karbi Anglong Plateau, Barail Range, and Khasi, Garo, Naga, and Jaintia Hills), and in NW Myanmar (W of the Chindwin River, S to Chin Hills Mts and Mt Victoria); the elevational range is 600-3000 m. 1. p. brahma Wroughton, 1916 — NE India, known only from the Dafla Hills, N of the Brahmaputra River, in Arunachal Pradesh State. 1: p. durga Wroughton, 1916 — E Bangladesh and NE India in the states of Assam, Mizoram, and Tripura (Naga Hills, Lakhimpur, Golaghat, Cachar Hills, Samaguting, and Sibsagar), adjoining the distribution of 7. p. pileatus to the N, but at lower elevations (i.e. from nearly sea level up to 600 m). 1. p. tenebricus Hinton, 1923 — NE India (Assam State) and Bhutan, in the Manas region N of the Brahmaputra River, with an elevational range of 100-2000 m.
Enhancing Regional Quasi-Geoid Refinement Precision: An Analytical Approach Employing ADS80 Tri-linear Array Stereoscopic Imageryand GNSS Gravity-Potential Leveling
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FIGURE 19 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 19. (a–c) Libellago lineata (a) exuvia, (b) in natural habitat showing crypsis, (c) living larva, (d) Libellago aurantiaca in life. In b–d long setae and attached detritus on spikes and body just visible as halo as indicated by arrows; lack of marking at apex of pedicel also indicated in (c) and (d). Scales as indicated. Photos (a–c) taken in Pahang, Malaysia, courtesy of Choong Chee Yen, Photo (d) in Singapore, courtesy of Robin Ngiam.
FIGURE 18 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 18. Caudal spikes scaled in proportion to overall body length: (a) H. biseriata, (b) A. fenstrella, (c) S. petiolata, (d) L. hyalina. Scale bars 1 mm.
FIGURE 17 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 17. Male gonapophyses and terminal abdominal segments in ventral view: (a) A. fenestrella, (b) S. petiolata, (c) L. hyalina, and in lateral view: (d) L. hyalina. Scale bars 1 mm.
FIGURE 16 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 16. Female gonapophyses and terminal abdominal segments in ventral view: (a) H. biseriata, (b) S. petiolata, (c) L. hyalina, and in lateral view: (d) H. biseriata, (e) L. hyalina, (f) S. petiolata. Scale bar 1 mm.
FIGURE 15 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 15. Mandibles in interior view: (a) Aristocypha fenestrella L, (b) A. fenestrella R (rotated slightly outward to expose part of venter); (c) Sundacypha petiolata L, (d) S. petiolata R; (e) Libellago hyalina L, (f) L. hyalina R. R & L signify right and left below, scale bar 0.5 mm.
FIGURE 14 in Descriptions of larvae of four mainly DNA barcode-matched species of chlorocyphids from south-east Asia (Odonata: Chlorocyphidae) with notes on the generic and species level larval identification of Oriental region members of the family.
FIGURE 14. Mandibles in ventral view: (a) Aristocypha fenestrella R, (b) A. fenestrella L; (c) Sundacypha petiolata R, (d) S. petiolata L; (e) Libellago hyalina R, (f) L. hyalina L. R & L signify right and left below, scale bar 0.5 mm.
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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.