pandyaved98/projectdata dataset hosted on Hugging Face and contributed by the HF Datasets community

data from https://archive.ics.uci.edu/dataset/331/sentiment+labelled+sentences

Dataset

This dataset was created by Maram S.

Contents

Field Name Field Type Field Description FID Integer Unique identifier for the projects ARP Project Text The ARP code assigned to project. LAT Project Text The LAT code assigned to project. Project Name Text The name used to identify the project. Description Text An explanation of the project Project Location Text The address of the project Priority Area Text The priority area the project belongs. Agency Organization Text The agency involves in executing the project. Project Owner Text A leader in the executing agency. Chief Text Executive Text Start Date Date The date the project commenced. End Date Text The projected date to close the project. Allocation Integer The amount allocated to the project at commencement. Council District Integer The council district the project falls. Project Text The category of the project.

The Project Data table includes all projects that entities claim they have eminent domain authority to undertake. Also included in the table are entity names, report years, and a unique report ID number. The ID number can be used to cross-reference the project data with the Eminent Domain table.

Dataset

This dataset was created by TonyStark_JARVIS

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Dataset

This dataset was created by Artur Yakubyshyn

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Subject: EducationSpecific: Online Learning and FunType: Questionnaire survey data (csv / excel)Date: February - March 2020Content: Students' views about online learning and fun Data Source: Project OLAFValue: These data provide students' beliefs about how learning occurs and correlations with fun. Participants were 206 students from the OU

This data set provides a digital mosaic of the Amazon River floodplain that was compiled using Landsat TM images. This mosaic was planned in July 1995 as an activity of the EOS-IDS Project that was developed with cooperation among INPE, CENA, University of Washington in Seattle (UW), University of California in Santa Barbara (UCSB), and NASA. The mosaic is composed by 29 Landsat TM images covering a period from 1986 to 1995 that were selected with minimum cloud cover and within the July to September high water season of the Amazon River. These images were geometrically corrected using ground control points extracted from topographic charts and image charts at the 1:250,000 scale. In addition, these images were radiometrically rectified to 231/062 (Manaus region) TM image using the method developed by Hall et al. (1991). The radiometric rectification applied had a good performance for bands 3, 5, and 7, for most of the scenes. For bands 1 and 2 the radiometric rectification was limited, especially for scenes with intense haze. Nevertheless, the overall performance of radiometric normalization allowed the production of a uniform data set for the entire Brazilian Amazon River mainstem floodplain. The mosaic was then built using the best bands (rectified or non-rectified) of the TM images with 90 meter spatial resolution. The mosaic data are provided in geoTIFF-formatted files, rectified and geocoded, for six TM bands (1 to 5 and 7) with 90-meter spatial resolution. The mosaic is divided in two parts: Part 1, from the mouth of the Amazon river in Brazil to the Brazil/Peru boundary and Part 2, from the Brazil/Peru boundary to its spring.There is also a 500-meter resolution mosaic covering all the Amazon river (from spring to the mouth) with geoTIFF-formatted data files for TM bands 3, 4, and 5. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.

Industrial Development Agencies (IDA) are required by section 859 of General Municipal Law to submit annual financial statements and are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office. The reported information includes financial assistance provided by the IDA and job creation/retention for each project receiving assistance. The dataset includes project data as reported by each IDA that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

The RADAMBRASIL project extensively mapped the Amazon soils using a combination of soil pit information, aerial photography, and geologic maps. During the project, 1,153 soil pits, distributed basin-wide, were described and sampled by horizon and analyzed for texture and chemical composition.This data set, which consists of one file in ASCII comma separated format, contains soil profile descriptions for locations throughout Brazilian Amazonia. These data are based on RADAMBRASIL surveys from the Soil Profiles of Amazonia (Source: IPAM, Brazil/WHRC, USA). See the companion file Soil Profiles of Amazonia.pdf

Percent recovery of somatic and F+ coliphage. This dataset is associated with the following publication: Hurst, B.N., A. Korajkic, A. Pemberton, and B. McMinn. Improved Virus Concentration Methods for Wash Waters from Decontamination of Permeable and Non-Permeable Surfaces. JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 322: 114826, (2023).

Workbook showing the mapping of the California Water Plan Water Supply and Balance data to the Water Budget Handbook's standardized accounting template. Also includes the data from the pilot project for WY 2014. For ease of posting, linking formulas have been removed and all values copied directly as values. For a dynamically linked version of this workbook, please contact Paul.Shipman@water.ca.gov.

Dataset

This dataset was created by Dhruvin Sojitra

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Data from https://materialsproject.org/ (dated 01/24/2023)

Materials Project is an open database of computed materials properties aiming to accelerate materials science research. The resources in this OpenData dataset contain the raw, parsed, and build data products.

This subset of the COVID Tracking Project from The Atlantic includes background/context and downloadable csv/excel files of data, as well as api access.

This is data from projects within the scope of the CESAW research project. The data contains detailed logs of software project development at the task level. All project effort, defects, and size have been recorded for each individual task performed. There are 35 projects within this data set. The project objective was to measure the cost and benefits of applying Static analysis to development.

Summarization of the University of Massachusetts Landscape Ecology Lab Designing Sustainable Landscapes (DSL) datasets with the Spatial Hydro-Ecological Decision System (SHEDS) framework. These DSL data were summarized using the local and upstream total accumulation methods within SHEDS. The result are two sets of data, a continuous dataset and a discrete dataset. The continuous dataset contains the average value for the local SHEDS catchments and the area-weighted sums of the averages for the local and all upstream SHEDS catchments for all continuous variables in the DSL dataset. The discrete dataset contains the area in square meters covered by each class within all discrete variables in the DSL dataset for the local SHEDS catchments along with the area-weighted sum of the local and all upstream SHEDS catchment values.

This dataset contains eDNA and ichthyoplankton data from sites throughout Chesapeake Bay watershed. These data are accompanied by environmental data for sampling sites and land cover data for the watersheds upstream of sampling sites. The data file is accompanied by a metadata file.