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1,630 results for “Occupations”
Figure 1 in Density, occupancy and detectability of tortoise species (Chelonoidis spp.) in the Atlantic Forest: implications for conservation and management
Figure 1. Location of the Vale Natural Reserve, municipality of Linhares, Espírito Santo, south-eastern Brazil, showing the location of the linear transects and the types of vegetation present in the Reserve.
Figure 3 in Density, occupancy and detectability of tortoise species (Chelonoidis spp.) in the Atlantic Forest: implications for conservation and management
Figure 3. Relationship between the probability of occupancy of Chelonoidis denticulatus (A) and Chelonoidis carbonarius (B) with the distance from the water resource, and relationship between the probability of occupancy of Chelonoidis denticulatus and the percentage of forest cover (C) in the Vale Natural Reserve, Brazil.
Data from the article titled: Transforming into community. Development process of the Algarabía Occupational Center as an expanded community of practice Transforming into community. Development process of the Algarabía Occupational Center as an expanded community of practice
<p>Project PID2020-117020GB-I00 , funded by : Ministerio de Ciencia e Innovación de España/<br>AEI/10.13039/501100011033 and by the predoctoral contracts grant for the training of PhD implemented by<br>the [grant number PRE2021-098075]</p>
Ergänzende Daten zum Beitrag "Des lames remarquables en roche noire. À propos de l'origine des 'roches noires' des occupations littorales de Bienne, Campus et Sutz-Lattrigen sur les rives du lac de Bienne (Suisse)"
<p>Diese Daten enthält die Metadaten zu den pXRF Messungen von Keramiken aus Fundstellen des Drei-Seen-Landes. Er ist Teil der Publikation <em>“Aufgetau(ch)t. Archäologie zu Seeufersiedlungen, Eisfunden und Klimawandel”</em>.</p>
Tiger occupancy
<p>These datasets were used in "Tiger recovery amidst people and poverty" (Jhala et al. <em>in review</em>) for modelling multi-season tiger occupancy and their co-occurrence with other fauna. The dataset named "occupancy" includes variables on occupancy survey and site characteristics at 100 km<sup>2</sup> grid scale for every four years from 2006 to 2018. There were in total four sampling cycles between this period. Occupancy surveys are provided as replicates with tiger presence and replicates with tiger absence per grid cell, per sampling year. Site covariates are provided as standardized values per grid cell. For details on site covariates please refer to Jhala et al. (<em>in review</em>). Details on the methodology, data source, and resolution can be found in the peer-reviewed study (Link to study on publication).</p>
Egypt 1917 Census - District table of Occupations
<p>These series of XLS tables by district and chief town provide the distribution of the population by Occupation as it is given in the volumes of the Egyptian Population Census of 1917. The total population is distributed in 326 categories of occupation.</p> <p>This dataset have been used in a book chapter published in 1998:</p> <p><span>Ghislaine Alleaume, Eric Denis. "L’Égypte à l’aube du XXe siècle : Pays, bourgs, cités en des temporalités divergentes. Jocelyne Dakhlia". in U<em>rbanités arabes. Hommage à Bernard Lepetit</em>, Sindbad – Actes </span><span>Sud, pp.225-256, 1998. </span><span>halshs-00369894</span></p> <p><span>https://shs.hal.science/halshs-00369894/file/hommage_Lepetit_1998.pdf</span></p>
Data from: Modelling the area of occupancy of habitat types with remote sensing
1. A current challenge of biodiversity and conservation is the estimation of the spatial extent of habitat types across broad territories. In the absence of fine-resolution maps, predictive modelling helps in assessing the spatial distribution of vegetation cover. However, such approaches are still uncommon in regional planning and management. Here, we present a framework for mapping the area of occupancy (AOO) of habitat types that allows highly suitable estimates at different scales. 2. We model the potential AOO with abiotic variables related to topography and climate, resulting in broad AOO estimates that are subsequently downscaled to the local AOO with remote sensing. The combination of individual local AOO estimates allows the defining of the realized AOO, comprising locations with a high likelihood of occurrence and low uncertainty for each habitat. We applied this framework to mapping 24 protected habitat types of Natura 2000 sites in northern Spain. 3. Local and realized AOO were highly accurate, with a 70% overall accuracy for the realized AOO. Remote sensing data, and especially LiDAR, were the most important predictors in habitat types related to forests and shrubs, followed by rock outcrops and pastures. Environmental variables were also relevant for specific habitats subject to abiotic constraints. 4. The combination of ecological modelling with remote sensing offers multiple advantages over traditional field surveys and image interpretation, allowing the harmonization of habitat maps across large regions and through time. This is particularly useful for implementing conservation actions under Natura 2000 principles or assessing IUCN criteria for ecosystems.
Data from: An empirical and mechanistic explanation of abundance-occupancy relationships for a critically endangered nomadic migrant
The positive abundance-occupancy relationship (AOR) is a pervasive pattern in macroecology. Similarly, the association between occupancy (or probability of occurrence) and abundance is also usually assumed to be positive and in most cases constant. Examples of AORs for nomadic species with variable distributions are extremely rare. Here we examined temporal and spatial trends in the AOR over seven years for a critically endangered nomadic migrant which relies on dynamic pulses in food availability to breed. We predicted a negative temporal relationship, where local mean abundances increase when the number of occupied sites decreases, and a positive relationship between local abundances and the probability of occurrence. We also predicted that these patterns are largely attributable to spatiotemporal variation in food abundance. The temporal AOR was significantly negative and annual food availability was significantly positively correlated with the number of occupied sites, but negatively correlated with abundance. Thus, as food availability decreased, local densities of birds increased, and vice-versa. The abundance - probability of occurrence relationship was positive and non-linear, but varied between years due to differing degrees of spatial aggregation caused by changing food availability. Importantly, high abundance (or occupancy) did not necessarily equate to high quality habitat and may be indicative of resource bottlenecks or exposure to other processes affecting vital rates. Our results provide a rare empirical example that highlights the complexity of AORs for species that target aggregated food resources in dynamic environments.
Figure 1 in Occupancy patterns of Megascops asio in urban parks of New York City and southern Westchester County, NY, USA
Figure 1. Location of parks surveyed for eastern screech owls in Westchester County and the New York City boroughs of Manhattan, Queens and Brooklyn, 2010.
Bayesian N-mixture and occupancy modeling code for songbirds
<p>The proliferation of energy rights-of-way (pipelines and powerlines; ROWs) in the central Appalachian region has prompted wildlife management agencies to consider ways to use these features to manage and conserve at-risk songbird species. However, little empirical evidence exists regarding best management strategies to enhance habitat surrounding ROWs for the songbird community during stopover or breeding periods. We used a before-after-control-impact design to study cut-back border (linear tree cuttings along abrupt forest edges) harvest width (15 m, 30 m, and 45 m wide into the forest) and harvest intensity (14 m<sup>2</sup>/ha and 4.5 m<sup>2</sup>/ha basal area retention) prescriptions along ROWs and assessed their effects on mature forest and young forest songbird species and avian guilds (forest gap habitat, forest interior habitat, young forest habitat, and species of regional conservation priority) up to two years after treatment throughout West Virginia. Species richness during the spring stopover period initially decreased at one-year post-treatment but returned to pre-treatment levels by two-year post-treatment. Breeding season responses to cut-back border treatments varied across harvest width, harvest intensity, and time, but all responses of focal species abundance and guild richness were neutral or positive. Cut-back border harvest intensity had a stronger influence (i.e., more positive responses) than harvest width on breeding focal species abundances and guild richness. For harvest intensity, the more intense, 4.5 m<sup>2</sup>/ha retention treatment had a stronger influence (i.e., more positive responses) than the less intense, 14 m<sup>2</sup>/ha retention treatment. For harvest width, the narrowest treatment (15-m wide) had the strongest influence (i.e., more positive responses) of all width treatments, followed by the widest (45-m wide treatment) with the least influence from the 30-m wide treatment. Abundances and richness increased from pre-treatment to two-year post-treatment across all species and guilds that exhibited a response. These results suggest that cut-back borders increase breeding season habitat suitability along ROWs for the mature forest and young forest songbird community as well as for species of regional conservation priority in the short-term. These findings can aid development of management guidelines for the forest songbird community along abrupt forest edges of man-made habitat features in forest-dominated landscapes.</p>
Data set for Predicting hospital occupancy for covid-19 patients: a simulation approach based on archetypes of empirical services' trajectories
<p>Data set for the paper: Predicting hospital occupancy for covid-19 patients: a simulation approach based on archetypes of empirical services’ trajectories</p> <p>Based on: Marin-Garcia, J. A., Ruiz, A., Julien, M., & Garcia-Sabater, J. P. (2021). A data generator for covid-19 patients’ care requirements inside hospitals. WPOM-Working Papers on Operations Management, 12(1), 76-115. https://doi.org/10.4995/wpom.15332</p> <p> </p>
Exploring the halo occupation of AGN using dark-matter cosmological simulations
<p>A semi-empirical model is presented that describes the distribution of Active Galactic Nuclei (AGN) on the cosmic web. It populates dark-matter halos in N-body simulations (MultiDark) with galaxy stellar masses using empirical relations based on abundance matching techniques, and then paints accretion events on these galaxies using state-of-the-art measurements of the AGN occupation of galaxies. The explicit assumption is that the large-scale distribution of AGN is independent of the physics of black-hole fueling. The model is shown to be consistent with current measurements of the two-point correlation function of AGN samples. It is then used to make inferences on the halo occupation of the AGN population. Mock AGN are found in halos with a broad distribution of masses with a mode of $\approx 10^{12}\,h^{-1} \, M_{\odot}$ and a tail extending to cluster-size halos. The clustering properties of the model AGN depend only weakly on accretion luminosity and redshift. The fraction of satellite AGN in the model increases steeply toward more massive halos, in contrast with some recent observational results. This discrepancy, if confirmed, could point to a dependence of the halo occupation of AGN on the physics of black-hole fueling.</p>
Cartographie de l'occupation du sol de la Région de la Mé en 2016, 2019 et 2022
<p>Cartographie de la dynamique des affectations des terres (2016-2019-2022) dans la Région de la Mé basée sur le traitement par classification supervisée (méthode Random Forest) des images Sentinel-2A.<br> L'UMC adoptée pour produire les différentes cartes est de 0,1 ha conformément au nouveau code forestier de Côte d'Ivoire qui fixe la superficie minimale des forêts à 0,1 ha.</p>
Cartographie de l'occupation du sol de la Région de la Mé en 2016, 2019, 2022
<p>Cartographie de la dynamique des affectations des terres (2016-2019-2022) dans la Région de la Mé basée sur le traitement par classification supervisée (méthode Random Forest) des images Sentinel-2A.<br> L'UMC adoptée pour produire les différentes cartes est de 0,1 ha conformément au nouveau code forestier de Côte d'Ivoire qui fixe la superficie minimale des forêts à 0,1 ha.</p>
FIG. 1 in Factors Influencing Anuran Wetland Occupancy in an Agricultural Landscape
FIG. 1.—Site map: (a) depicts Iowa̕s location within the United States (indicated by gray shading), (b) depicts the location of counties where the study took place within Iowa (indicated by gray shading), and (c) depicts the locations of the 27 wetland study sites with land cover information. This map was created using ArcGIS (v.10.5.1; ESRI 2018).
FIGURE 9. A in An investigation of patch occupancy and dispersal by third to final instar nymphs of Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera: Gryllidae: Gryllinae) across the sand dune biotope at the Għadira Nature Reserve, Malta
FIGURE 9. A stridulating male at the mouth of its burrow. The wide mouth of the burrow serves as an 'acoustic chamber' for amplification (Photo: J.J. Borg).
FIGURE 8 in An investigation of patch occupancy and dispersal by third to final instar nymphs of Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera: Gryllidae: Gryllinae) across the sand dune biotope at the Għadira Nature Reserve, Malta
FIGURE 8. Correlation between atmospheric pressure and the count interval (difference in the count between successive, weekly observation periods) with trendlines for all points (grey) and when not considering the only outlier (blue).
FIGURE 1 in An investigation of patch occupancy and dispersal by third to final instar nymphs of Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera: Gryllidae: Gryllinae) across the sand dune biotope at the Għadira Nature Reserve, Malta
FIGURE 1. Aerial image of the area of study and its surrounding terrain (Source: Google Earth—imagery 23/5/2021).
FIGURE 6 in An investigation of patch occupancy and dispersal by third to final instar nymphs of Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera: Gryllidae: Gryllinae) across the sand dune biotope at the Għadira Nature Reserve, Malta
FIGURE 6. Sustained wind speed (main chart) and accompanying wind gusts (inset) are practically aligned, which indicates a quasi-constant wind during observation periods.
FIGURE 7. Humidity chart across observation periods with a range varying from 75 in An investigation of patch occupancy and dispersal by third to final instar nymphs of Brachytrupes megacephalus Lefèbvre, 1827 (Orthoptera: Gryllidae: Gryllinae) across the sand dune biotope at the Għadira Nature Reserve, Malta
FIGURE 7. Humidity chart across observation periods with a range varying from 75% to 94%. Notwithstanding the high level of humidity registered on some days, no precipitation was recorded during or immediately prior to field sessions.
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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.