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620 results for “sector”
FIGURE 24 in Competitividad del Sector Forestal de México Tendencias y Perspectivas
FIGURE 24. Scalation characters of Lygodactylus decaryi. (a) head in lateral view (scale bar = 2 mm); (b) lamellae of fourth toe in ventral view (scale bar = 2 mm); (c) head in dorsal view (scale bar = 2 mm); (d) throat in ventral view (scale bar = 2 mm); (e) preanal pores in ventral view (scale bar = 2 mm). Drawings based on holotype male specimen MNHN 1930.271 except (b) that is based on female specimen MNHN 1950.262. All drawings by M. Puente.
FIGURE 26 in Competitividad del Sector Forestal de México Tendencias y Perspectivas
FIGURE 26. Scalation characters of Lygodactylus klemmeri, based on the juvenile type specimens of L. praecox that we here consider as a junior synonym of klemmeri. (a) head in lateral view (scale bar = 1 mm); (b) lamellae of fourth toe in ventral view (scale bar = 0.1 mm); (c) head in dorsal view (scale bar = 2 mm); (d) throat in ventral view (scale bar = 3 mm). Drawings (a) and (d) based on MNHN 1990.48; (b) and (c) on MNHN 1990.49. All drawings by M. Puente.
Humpback whale song presence in the Atlantic sector of the Southern Ocean
<p><span><span><span><span><span><span><span><span><span><span><span>Humpback whale song most likely fulfills a multi-purpose role in the humpback whale mating system including both inter- and intrasexual interactions. Humpback whale males produce most of their songs on the low-latitude breeding grounds, but evidences increase, showing that songs are also produced 'off-season' on the feeding grounds or during migration. This opens exciting opportunities to investigate migratory aggregations, study humpback whale behavioral plasticity and potentially even assign individual singers to specific breeding grounds. In this study, we analyzed passive acoustic data from 13 recording positions and multiple years (2011-2018) to investigate humpback whale song in a Southern Ocean feeding area comparing song presence, structure and complexity over spatial and temporal scales. Humpback whale song was detected at nine recording positions within the Atlantic sector of the Southern Ocean (ASSO) in five years. Most songs were recorded in May coinciding with the rapid increase in sea ice concentration at most recording positions. The spatio-temporal pattern in humpback whale singing activity on a Southern Ocean feeding ground is most likely shaped by the local prey availability and humpback whale migratory strategies. Furthermore, the comparative analyses of song structures clearly show a differentiation of two song groups, of which one was solely recorded at the western edge of the ASSO and the other song group was recorded throughout the spatial extent of the ASSO. This new finding suggests a common feeding ground occupation in the ASSO by multiple humpback whale populations, providing important baseline information for ecosystem and stock management.</span></span></span></span></span></span></span></span></span></span></span></p>
CSET Private-Sector AI Indicators
<p>The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in <a href="https://parat.eto.tech/" target="_blank" rel="noopener noreferrer">PARAT</a>. For more information, see our <a href="https://eto.tech/dataset-docs/private-sector-ai-indicators/" target="_blank" rel="noopener noreferrer">documentation</a>.</p> <p>Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358.</p>
Dataest of CSV and excel related to paper "Village Potential to Promote Halal Tourism Sectors in Indonesia: A Bibliometric Study"
<p>These were dataset related to the study. they were a CSV file of papers form scopus used for samples of bibliometric study and excel file used for literature review study </p>
GGG Sectoral Results for the NGFS Scenarios
<p>G-Cubed Sectoral Results of NGFS Climate Scenarios</p>
Corporatization, administrative intensity and the performance of public sector organizations
<p><span>The process of corporatization in public services has led to the emergence of new, more autonomous organizational forms. However, while these reforms have been centrally about the development of management capabilities in public sector organizations, we know surprisingly little about what this process involves. To address this concern, we draw on the literature on administrative intensity (AI) to frame hypotheses about the likely relationship between corporatization and investments in management and administration, and the consequences of these investments for performance. As an empirical case, we then focus on the effects of Foundation Trust status on AI and efficiency, effectiveness and responsiveness in the acute care hospital sector in the English NHS. Based on a database of nine years (2008/09–2016/17) and dynamic panel data regressions, the results show that corporatization leads to a leaner administration and improved organizational efficiency, effectiveness and responsiveness. In addition, the analysis reveals that lower levels of AI positively mediate the relationship between corporatization and performance, although only in relation to the efficiency </span><span>dimension</span><span>. These findings highlight the crucial, but previously misunderstood, importance of lean administration as part of the corporatization reform package, with implications for </span><span>theory, </span><span>research and policy.</span></p>
Hotspots of gross emissions from the land use sector: patterns, uncertainties, and leading emission sources for the period 2000–2005 in the tropics
<p>According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Agriculture, Forestry and Other Land Use) contributes roughly a quarter ( ∼  10–12 Pg CO<sub>2</sub>e yr<sup>−1</sup>) of the net anthropogenic GHG emissions mainly from deforestation, fire, wood harvesting, and agricultural emissions including croplands, paddy rice, and livestock. In spite of the importance of this sector, it is unclear where the regions with hotspots of AFOLU emissions are and how uncertain these emissions are. Here we present a novel, spatially comparable dataset containing annual mean estimates of gross AFOLU emissions (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O), associated uncertainties, and leading emission sources, in a spatially disaggregated manner (0.5°) for the tropics for the period 2000–2005. Our data highlight the following: (i) the existence of AFOLU emissions hotspots on all continents, with particular importance of evergreen rainforest deforestation in Central and South America, fire in dry forests in Africa, and both peatland emissions and agriculture in Asia; (ii) a predominant contribution of forests and CO<sub>2</sub> to the total AFOLU emissions (69 %) and to their uncertainties (98 %); (iii) higher gross fluxes from forests, which coincide with higher uncertainties, making agricultural hotspots appealing for effective mitigation action; and (iv) a lower contribution of non-CO<sub>2</sub> agricultural emissions to the total gross emissions (ca. 25 %), with livestock (15.5 %) and rice (7 %) leading the emissions. Gross AFOLU tropical emissions of 8.0 (5.5–12.2) were in the range of other databases (8.4 and 8.0 Pg CO<sub>2</sub>e yr<sup>−1</sup> in FAOSTAT and the Emissions Database for Global Atmospheric Research (EDGAR) respectively), but we offer a spatially detailed benchmark for monitoring progress in reducing emissions from the land sector in the tropics. The location of the AFOLU hotspots of emissions and data on their associated uncertainties will assist national policy makers, investors, and other decision-makers who seek to understand the mitigation potential of the AFOLU sector.</p>
Dataset for Nigeria cement sector emissions scenarios in Yetano Roche (2022)
<p>Dataset and tool for "Built for net-zero: analysis of long-term greenhouse gas (GHG) emission pathways for the Nigerian cement sector", Journal of Cleaner Production (2022)</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Word tree STEM</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Word tree gender</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Word tree gap</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Word tree rights</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Empirical conceptual map</p>
Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis
<p>Theoretical concept map</p>
Multi-objective near-optimal necessary conditions for multi-sectoral planning - Dataset
<p>Dataset (input and output) of the paper 'Multi-objective near-optimal necessary conditions for multi-sectoral planning'</p>
Codes for "Co-firing biomass and coal with retrofitted carbon capture and storage ease China to achieve carbon neutrality and net negative carbon in power sector"
<p>Codes for “Co-firing biomass and coal with retrofitted carbon capture and storage ease China to achieve carbon neutrality and net negative carbon in power sector”</p>
RIPL informal sector survey
<p>The preliminary survey results for RIPL project interviews with informal sector workers. </p>
20th Century Antarctic sea ice extent anomaly reconstruction by sector
<p>Monthly Antarctic sea ice extent anomaly reconstruction in total and by sector ("Total", "King Haakon VII", "Ross Sea", "East Antarctica", "Weddell Sea", "Bellingshausen Amundsen Sea") for the 20th Century. We provide an ensemble of 2500 reconstructions. </p> <p>For each sector we provide one CSV file. The rows in these data sets correspond the reconstructed month, e.g. reconstructions for January 1950 are found in row "t1950_1" and the columns correspond to the 2500 reconstructions. The numbers of the reconstructions correspond to one another across sectors, such that the 1st "Total" reconstruction is the sum of the 1st reconstruction in all sectors.</p>
Key stakeholder groups in the agriculture sector
<p>The dataset shown identified stakeholders in the agriculture ecosystem within the literature. The papers included in the analysis are from databases Scopus and Web of Science. The query was conducted in 2020 year. </p>
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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)
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.