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4,107 results for “pointing”
Data for: Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022
<p>Data set for the article "Break-even point and its impact on profit planning in educational institutions. A study conducted in Lima, Peru, 2022"</p> <p> </p> <p>Abstract:<br> <br> The break-even point is a technique for analyzing the relationship between costs, volumes and profits in organizations, which allows their managers to know quickly and economically the minimum units or amounts that their companies must sell in order not to generate losses, thus allowing them to plan their profits. Due to the pandemic caused by the Sars-Cov-2 (COVID-19 virus), virtual teaching became popular, which served as an opportunity for many teachers to start teaching courses; with time, these entrepreneurs paid attention to the importance of the break-even point for making decisions related to the opening of new sections of existing courses, or the implementation of new study programs. The objective of this study was to determine the impact of the break-even point in profit planning in educational institutions in Lima, 2022. The hypothesis was: the break-even point has an impact on profit planning in educational institutions in Lima, 2022. Through a quantitative approach study, applied type, explanatory level, non-experimental and cross-sectional design, data was collected from 91 entrepreneurs who carried out teaching activities on virtual platforms. The results obtained confirmed the influence of the break-even point calculation on profit planning in this context, modeling it with the following formula: profit planning=0.101+0.979 x break-even point</p>
CSRM Level 2 dataset: epicenter location of event initiation point in continental China
<p>This dataset contains a total of 433 epicenter locations of event initiation points in continental China. This dataset results from a project of constructing an uppermost mantle seismic Pn-velocity in continental China (<a href="https://doi.org/10.1029/2022JB025667">Ma et al., 2023, JGR: Solid Earth</a>) (<a href="https://doi.org/10.5281/zenodo.8112759">Model link</a>).</p> <p>本数据库包含了共计433个中国大陆区域震源起破点重定位后水平位置结果。该数据库源于构建中国大陆区域上地幔顶部Pn波速度模型的工作 (<a href="https://doi.org/10.1029/2022JB025667">Ma et al., 2023, JGR: Solid Earth</a>) (<a href="https://doi.org/10.5281/zenodo.8112759">模型链接</a>)。</p> <p>If you face any problem or issue when using this dataset, please feel free to communicate with the corresponding author Jiayu Ma (<a href="mailto:majy18@mail.ustc.edu.cn">majy18@mail.ustc.edu.cn</a> or<a href="mailto:%20seisbird@gmail.com"> seisbird@gmail.com</a>).</p>
Habitat point data from Søre Sunnmøre, on the West coast of Norway
<p>The project had the aim to map intertidal and subtidal habitats at the Søre Sunnmøre area on the West coast of Norway. The project was funded by the Norwegian Environment Agency, the Directorate of Fisheries, Møre and Romsdal County Municipality, the County Council of Møre and Romsdal and a selection of municipalities. The project was led by Trine Bekkby (Norwegian Institute for Water Research, NIVA) and the habitats were mapped in collaboration with the Geological Survey of Norway (NGU) and the Institute for Marine Research (IMR). The dataset presented here is what was collected by NIVA. We collected data points in the intertidal and in the seaweed, kelp and red algae bed in the subtidal. The data have been used to model the distribution of different habitats. This data set shows the habitat types, but NIVA (trine.bekkby@niva.no) can be contacted for more details of the presence of individual species within the habitats (habitats are defined by the dominant species). </p>
Maerl point data in northern Norway
<p>The National Program for Mapping Biodiversity – Coast has had an aim to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Maerl beds have not been systematically mapped, but maerl coverage has been recorded whenever maerl has been observed. </p> <p>Maerl has been identified in the field using underwater video cameras and GPS and coverage has been defines into one of four classes (1-single observations, 2-scarce occurrences, 3-Moderately dense, 4-Dense/dominating). For some data, coverage has not been defined, and maerl has only been recorded as a presence. Projection: WGS84 geographic. Data owner: Norwegian Institute for Water Research, NIVA, <a href="http://www.niva.no/en">www.niva.no/en</a></p> <p>The data has been collected in northern Norway. The National Program for Mapping Biodiversity – Coast is funded by the Ministry of Trade, Industry and Fisheries and Ministry of Climate and Environment Project leader: Trine Bekkby, Norwegian Institute for Water Research. <a href="http://onlinelibrary.wiley.com/doi/10.1002/9781118496480.ch2/summary">http://onlinelibrary.wiley.com/doi/10.1002/9781118496480.ch2/summary</a></p>
IRAS POSITION AND POINTING V1.1
Spacecraft position vectors and individual scan parameters for the IRAS mission.
A grid point-based zonal displacement approach in building generalization
<p>Data used in the research</p>
MLS/Aura L1 Orbit/Attitude and Tangent Point Geolocation Data V004 (ML1OA) at GES DISC
ML1OA is the EOS Aura Microwave Limb Sounder (MLS) product containing the level 1 orbit attitude and tangent point geolocation data. The data version is 4.2. Data coverage is from August 8, 2004 to current. Spatial coverage is near-global (-82 degrees to +82 degrees latitude), and files contain a full days worth of data (15 orbits). Users of the ML1OA data product should read the 'A Short Guide to the Use and Interpretation of v4.2x Level 1 Data' document for additional information.The data are stored in the version 5 Hierarchical Data Format, or HDF-5. Each file contains orbital and attitude information written as HDF-5 dataset objects (n-dimensional arrays), along with file attributes and metadata.
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.