Machine learning (ML) has gained much attention and has been incorporated into our daily lives. While there are numerous publicly available ML projects on open source platforms such as GitHub, there have been limited attempts in filtering those projects to curate ML projects of high quality. The limited availability of such high-quality dataset poses an obstacle to understanding ML projects. To help clear this obstacle, we present NICHE, a manually labelled dataset consisting of 572 ML projects. Based on evidences of good software engineering practices, we label 441 of these projects as engineered and 131 as non-engineered. In this repository we provide "NICHE.csv" file that contains the list of the project names along with their labels, descriptive information for every dimension, and several basic statistics, such as the number of stars and commits. This dataset can help researchers understand the practices that are followed in high-quality ML projects. It can also be used as a benchmark for classifiers designed to identify engineered ML projects.

GitHub page: https://github.com/soarsmu/NICHE

The interview data was gathered for a project that investigated the practices of instructors who use quantitative data to teach undergraduate courses within the Social Sciences. The study was undertaken by employees of the University of California, Santa Barbara (UCSB) Library, who participated in this research project with 19 other colleges and universities across the U.S. under the direction of Ithaka S+R. Ithaka S+R is a New York-based research organization, which, among other goals, seeks to develop strategies, services, and products to meet evolving academic trends to support faculty and students.

The field of Social Sciences has been notoriously known for valuing the contextual component of data and increasingly entertaining more quantitative and computational approaches to research in response to the prevalence of data literacy skills needed to navigate both personal and professional contexts. Thus, this study becomes particularly timely to identify current instructors’ practi..., The project followed a qualitative and exploratory approach to understand current practices of faculty teaching with data. The study was IRB approved and was exempt by the UCSB’s Office of Research in July 2020 (Protocol 1-20-0491).Â

The identification and recruitment of potential participants took into account the selection criteria pre-established by Ithaka S+R: a) instructors of courses within the Social Sciences, considering the field as broadly defined, and making the best judgment in cases the discipline intersects with other fields; b) instructors who teach undergraduate courses or courses where most of the students are at the undergraduate level; c) instructors of any rank, including adjuncts and graduate students; as long as they were listed as instructors of record of the selected courses; d) instructors who teach courses were students engage with quantitative/computational data.Â

The sampling process followed a combination of strategies to more easily identify instructo..., The data folder contains 10Â pdf files with de-identified transcriptions of the interviews and the pdf files with the recruitment email and the interview guide.Â

The statistic shows the success rate of various big data initiatives as of 2019, according to a survey of industry-leading firms, primarily in the United States. As of that time, 59.5 percent of respondents reported having seen measurable results from big data initiatives to decrease expenses.

A collection of Inform project training materials. You are free to download and use any of the training resources below. The PowerPoint presentations contain a complete set of slides, so please feel free to copy, delete or change slides, to fit the purpose of your country training.

Study 5: Down from the Ivory Tower: Exploring Implementation of the ESTRO Core Curriculum at the National Level. An anonymous, 37-item, survey was designed and distributed to the Presidents of the National Societies who have endorsed the ESTRO Core Curriculum (n=29). The survey addressed perceptions about implementation factors related to context, process and curriculum change. The data was summarized using descriptive statistics.

This statistic shows the most important skills to successfully manage highly complex projects in organizations worldwide as of July 2013. During the survey, 81 percent of the respondents stated that leadership skills were the most important for successfully managing highly complex projects.

CEQR Open Data contains information on projects that are undergoing or have completed review through the City Environmental Quality Review (CEQR) process. Project information available at the Open Data Portal includes the CEQR Number, Project Name, the Project Description, the Lead Agency, project milestones, and geographical locations. CEQR Open Data contains information on CEQR projects, which were filed with the Mayor’s Office from January 1, 2005 to the present. For associated documents, please follow the links to the CEQR Access Database.

This dataset supports measure M.A.10 of SD 2023. The source of the data is the Austin Transportation Department. Each row represents a project in which the City of Austin was a sponsoring agency with a partner involved or if another agency was the lead and the City of Austin was a supporting partner. This dataset can be used to look at the transportation projects, programs and initiatives that the City of Austin is working in coordination with other agencies.

View more details and insights related to this measure on the story page : https://data.austintexas.gov/stories/s/yejj-ryqx

This report includes data from Enterprise Zone Business Projects - with exemptions on qualified property. This is Part A of a four (4) part report. A data dictionary and additional notes document are attached as resources. For more information, visit Business Oregon https://www.oregon.gov/biz/programs/enterprisezones

Purpose:
This viewer is for the general public to see fuels reduction projects approved and completed under the CalVTP.

In 2024, the total number of open source projects taken up was about 3.9 million. Of these, the majority was through JavaScript with about 4.8 million projects, far more than those in any other language.

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

http://data.worldbank.org/data-catalog/ed-stats

https://cloud.google.com/bigquery/public-data/world-bank-education

Citation: The World Bank: Education Statistics

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @till_indeman from Unplash.

Inspiration

Of total government spending, what percentage is spent on education?

This report summarises key economic factors affecting the success of recent resource and environmental management projects in the Pacific.

In the April 2022 budget passed by the New York State Legislature and signed by Governor Hochul, the State established a deadline for the transition to zero-emission buses. Specifically, all school buses in the State must be zero-emission buses by 2035. In 2022, voters across NYS overwhelming voted for the Clean Air, Clean Water and Green Jobs Environmental Bond Act (Bond Act) which includes $500M to support the transition to zero-emission school buses. NYSERDA has established the NY School Bus Incentive Program (NYSBIP) to achieve these State public purposes and assist school districts in meeting the zero-emission bus timelines. NYSBIP is a voucher incentive program which will accelerate the deployment of zero-emission school buses and charging infrastructures throughout New York State. Zero-emission school buses include both electric school buses and hydrogen fuel cell school buses (collectively referred to as ESBs). This dataset focuses on the school bus-side of the program. The dataset is compiled from the information collected throughout the project application process. The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.

Landing page for Number of transportation projects, programs, and initiatives that are coordinated with partner agencies (M.A.10)

This dataset contains all milestone information entered by Federal agencies into the Permitting Dashboard. Rows represent single milestones within an individual environmental review or authorization (action). For a full description of all fields in the dataset, see the Data Dictionary. Questions specific to the dataset can be directed to the email listed below. For questions on specific projects, please use the contact information listed on the project page on the The Permitting Dashboard.

The Energy Efficiency programs of the New York Power Authority provide energy-efficiency improvements, with no up-front costs, to public schools and other government facilities. From start to finish, the Power Authority works with facility managers to identify, design and install new lighting and motors, as well as upgrades to heating, ventilation and air-conditioning systems. We try to address all energy efficiency improvements in a single, comprehensive effort. This data set contains information on energy efficiency projects completed since 1987. The data set is updated in a quarterly basis to reflect new data as projects are implemented. The information includes project location, customer name, project name, total cost, and energy efficiency benefits, including energy reduction (electric, natural gas, oil) and greenhouse gas emissions reductions.

The statistic shows the global market size of the IT project and portfolio management (IT PPM) market from 2014 to 2019 and a forecast for 2024. In 2019, The total market size of the global IT project and portfolio management (IT PPM) was at 3.88 billion U.S. dollars.

Species occurrence records for native and non-native bees, wasps and other insects collected using mainly pan, malaise, and vane trapping; and insect netting methods in Canada, Mexico, the non-contiguous United States, U.S. Territories (specifically U.S. Virgin Islands), U.S. Minor Outlying Islands and other global locations with the bulk of the specimens coming from the Eastern United States often from Federal lands such as USFWS, NPS, DOD, USFS. Some records also contain notes regarding plants or substrates from which insects were collected or that were present and/or in flower at the time the insects were collected. Unless otherwise noted, taxonomic determinations (identifications) were completed by Sam Droege (USGS Eastern Ecological Science Center- EESC, Native Bee Laboratory) and Clare Maffei (USFWS, Inventory and Monitoring Branch). The EESC Native Bee Lab currently keeps only a small synoptic collection, rare and voucher specimens are deposited in the Smithsonian National Collection (NMNH) and widely distributed to other institutions for DNA, revisions, and augmentation of existing collections. Surplus specimens are also made available to students to learn their identifications. Corrections to any of our determinations are always welcomed. Common species that are not in demand for surplus are usually destroyed and the pins recycled. Recent revisions to Lasioglossum, Ceratina, and to a much lesser extent Triepeolus and Epeolus and other small groups have rendered determinations prior to those revisions out of date for species involved in name changes and users should account for that during analyses. Current data (included information on specimen codes without identifications) are always available without charge directly from Sam Droege.