This dataset provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). SNAP (Supplemental Nutrition Assistance Program) offers nutrition assistance to millions of eligible, low-income individuals and families and provides economic benefits to communities. FNS (Food and Nutrition Service) also works with State partners and the retail community to improve program administration and ensure program integrity.

The LIS Family Policy Database is a database designed to link information on family policy to micro data outcomes in the LIS dataset. It contains statistics and quantified policy information, as well as qualitative information on policy areas like family leave, working time regulations, school schedules and child care. Here we focus on qualitative information

Users can view brief descriptions of laws and policies pertaining to the health of students Topics include: wellness policy, health education curriculum, school meal programs, physical activity, emergency response, bullying, and facility safety, among others. Background The State School Health Policy Database was developed by the National Association of State Boards of Education and is supported by the Division of Adolescent and School Health of the Centers (DASH) of the Centers for Disease Control and Prevention (CDC) and the Robert Wood Johnson Foundation. This database is useful for school policymakers interested in viewing strategies and policies across states and researchers and policy evaluators seeking to track changes in polici es across the United States. Topics include: wellness policies, health education curriculum; school meal programs, school food environment, physical activity, drug-free schools, bullying, emergency response, tobacco use, air quality, pesticide use, and facility safety. User Functionality Users can view brief descriptions of laws and policies pertaining to the health of students. When possible, hyperlinks to full written policies are included. Data Notes The data base is updated regularly with new and revised laws and policies from across the United States.

CIO defines IT processes and policies. The CIO defines the development processes, milestones, review gates, and the overall policies for all capital planning, enterprise architecture, and project management and reporting for IT resources. At a minimum, these processes shall ensure that the CIO certifies that IT resources are adequately implementing incremental development (as defined in the below definitions). The CIO should ensure that such processes and policies address each category of IT resources appropriately—for example, it may not be appropriate to apply the same process or policy to highly customized mission-specific applications and back office enterprise IT systems depending on the agency environment.

A new database of 6124 policies at the intersection of agriculture and the environment. Implemented between 1960 and 2022 in over 200 countries. Comprises a wide range of types of policies (e.g., ranging from legislative changes to payments for ecosystem services), as well as a wide range of goals (e.g., from pesticide regulations to forest conservation). It allows to e.g. count such policies per country, filter to select specific policies, and to create policy indices, e.g. weighting countries' policies with contextual factors that enhance to hinder policy performance (e.g. policy budgets, enforcement, stringency, corruption).

The main database comes in the formats CSV, EXCEL, and DTA, country averages are provided in CSV and DTA, the dataset for the soil erosion policy analysis is provided in DTA and the code for the analysis is a DO-file.

Recommended Citation

Citing this version

NewClimate Institute, Wageningen University and Research & PBL Netherlands Environmental Assessment Agency. (2023).  Climate Policy Database. DOI: 10.5281/zenodo.10869734

Citing all CPDB versions

NewClimate Institute, Wageningen University and Research & PBL Netherlands Environmental Assessment Agency. (2016).  Climate Policy Database. DOI: 10.5281/zenodo.7774109

Peer reviewed publication

Description

The Climate Policy Database (CDPB) is an open, collaborative tool to advance the data collection of the implementation status of climate policies. This project is funded by the European Union H2020 ELEVATE and ENGAGE projects and was, in its previous phase, funded under CD-Links. The database is maintained by NewClimate Institute with support from PBL Netherlands Environmental Assessment Agency and Wageningen University and Research.

Although the CPDB exists since 2016, annual versions of the database have only been stored since 2019.

The Climate Policy Database is updated periodically. The latest version of the database can be downloaded on the CPDB website or accessed through a Python API. Each year, we also create a static database, which is included here for version control.

Users can view maps and tables related to child welfare policies in the United States. Background The State Child Welfare Policy Database contains a variety of information related to child welfare policies in each state. Data topics are grouped under three categories: child welfare financing; kinship care policies; older youth in foster care. Child welfare financing provides data on topics such as total expenditures, TANF, Title IV, and medicaid. Kinship care policies includes information on locating kin, guardianship policies, foster care and private kin arrangement s. Older youth in foster care includes information on foster care age limits, placements for older youth, and state-funded independent living transition services. User FunctionalityUsers can search by topic or by state. Data is presented in either a table (for state specific information) or by map (for data topic information). Data is available on a state level. Data tables are available for download in Excel format. Data Notes The data source is clearly labeled, and a link to the data source or to the state's welfare website is provided.

The global renewable power support policy dataset was compiled by Sarah Hafner (Anglia Ruskin University, United Kingdom) and Johan Lilliestam (Institute for Advanced Sustainability Studies (IASS), Germany) in February-July 2017 and completed during 2017. The work was led by Johan Lilliestam but each author gathered half of the data. The data was formatted and checked for internal consistency by Tim Tröndle, IASS.

All non-commercial users are allowed to use and manipulate our data, but are required to give appropriate attribution. Hence, please cite this data as:

Hafner, S. & Lilliestam, J. (2019): The global renewable power support dataset. Institute for Advanced Sustainability Studies (IASS) & Anglia Ruskin University, Potsdam & Cambridge. Doi: https://doi.org/ 10.5281/zenodo.3371375.

If you are interested in contributing to and further developing the dataset: please contact Johan Lilliestam (IASS Potsdam).

The search was done in publically available sources, including but not limited to the IEA renewables policy database, res-legal.eu, Worldbank data, as well as data from the responsible national ministries.

Our data holds information on 10 specific policy instruments explicitly dedicated to the support for expansion of renewable electricity generation 1990-2016; some instruments, including taxation of non-renewables or emission trading, affect other sectors than renewable power, but are mentioned in their original policy description to also be dedicated to increasing renewable power. Our data concerns national policy measures, but ignores policies enacted on higher (e.g. EU-level in Europe) or lower (e.g. state-level policies in Canada, USA) political levels. For example, the “no support” entry for the United Arab Emirates indicates that there were no national-level policies: all policies were, in this case, emirate-specific.

The data exists in two versions: one version readable for humans (RE_policies_fullglobal.xlsx) and for each instrument type as .csv. The information in the two versions is identical and differs only in the way it is displayed.

Please refer to the metadata file for a detailed description of the dataset and the data categories.

For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This database was created to accompany a report prepared by Joe Daniels, PhD, and Martine August, PhD, entitled “Acquisitions Programs for Affordable Housing: Creating non-market supply and preserving affordability with existing multi-family housing.” The database and report form part of the work performed under the HART project, and the report can be found at HART’s website: HART.ubc.ca. The database is a single table that summarizes 11 key elements, plus notes and references, of a growing list of policies from governments across the world. There are currently 108 policies included in the database. The authors expect to update this database with additional policies from time to time. The authors hope this database will serve as a resource for governments looking to become familiar with a variety of policies in order to help them evaluate what policies might be most applicable in their communities. Data Fields: List of data fields (15 total): 1. Government Order 2. Government Jurisdiction 3. Policy Name/Action 4. Acquisition Target 5. Years Active 6. Funder/Funding 7. Funding Amount (Program) 8. Funding Form 9. Affordability Standard 10. Affordability Term 11. Features/Requirements 12. Comments 13. Reference link 1 14. Reference link 2 15. Reference link 3 Description of data fields (15) 1. Government Order: - Categorizes the relative political authority in terms of one of three categories: Municipal (responsible for a city or small region), Provincial (responsible for multiple municipalities), or Country (responsible for multiple provinces; highest political authority). - This field may be used to help identify those policies most relevant to the reader. 2. Government Jurisdiction: - Indicates the name of the government. - For example, a country might be named “Canada,” a province might be named “Quebec,” and a municipality might be named “Calgary.” 3. Policy Name/Action: - Indicates the name of the policy. - This generally serves as the unique identifier for the record. However, there may be some programs that are only known by a common term; for example, “Right of First Refusal.” 4. Acquisition Target: - Describes the type of housing asset that the policy is concerned with. For example, acquiring land, acquiring existing rental buildings, renovating existing supportive housing. 5. Years Active: - The time period that the policy has been active. - Typically formatted as “[Year started] - [Year ended]”. If just a single year is listed (e.g. “2009”) that means the policy was only active that one year. - If the policy is active with no end date, then the format will be “[Year started] - ongoing.” If the policy has a specified end date in the future, that year will be listed instead: “[Year started] – [Expected final year].” 6. Funder/Funding: - The government, government agency, or organization responsible for the use of those funds made available through the policy. 7. Funding Amount (Program): - The dollar value of funds connected to the policy. - Sometimes this is the total value of funds available to the policy, and sometimes it is the actual value of funds that were used. - The funds indicated here do not necessarily correspond to the time period indicated in the ‘Years Active’ field. Additional detail will be added to clarify whenever possible. - If policy has “N/A” listed here, see ‘Features/Requirements’ for more information. 8. Funding Form: - Indicates the type of financial tools available to the policy. For example, “capital funding,” “forgivable loans,” or “rent supplements.” - If policy has “N/A” listed here, see ‘Features/Requirements’ for more information. 9. Affordability Standard: - Indicates whether the policy includes an explicit standard or benchmark of affordability that is used to guide or otherwise inform the policy’s goals. 10. Affordability Term: - Indicates whether the affordability standard applies to a specific time period. - This field may also contain other information on time periods that are relevant to the policy; for example, an operating loan guaranteed to be active for a specific number of years. 11. Features/Requirements: - Describes the broad objectives of the policy as well as any specific guidelines that the policy must follow. 12. Comments: - Author’s commentary on the policy. 13. Reference link 1: - A web address (URL) or citation indicating the source of the details on the policy. 14. Reference link 2: - A second web address (URL) or citation indicating the source of the details on the policy. 15. Reference link 3: - A third web address (URL) or citation indicating the source of the details on the policy. File list (1): 1. Property Acquisition Policy Database.xlsx

This dataset includes data on policy and environmental supports for physical activity, diet, and breastfeeding. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.

• Database of African Renewable Energy Policies, based on publicly available soures, e.g. World Bank, IRENA, IEA, Climatescope.
• Country sample: Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Côte d‘Ivoire, Democratic Republic of the Congo, Egypt, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Madagascar, Malawi, Mali, Mauritius, Morocco, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Togo, Tunisia, Uganda, Zambia and Zimbabwe.
• Renewable energy policy mapping according to policy content, actor constellation, transformative potential of each policy. Publication: Is Green a Pan-African Colour? Mapping African Renewable Energy Policies and Transitions in 34 Countries, in: Energy Research and Social Science

PRIDE is a numerical database, oriented to serve science and technology policy research. It collects and integrates indicator numerical data from Eurostat, OECD, WEF, World Bank and other international organizations and institutions, as well as domestic government agencies and other sources, to provide researchers with one - Convenient service of stop service.

This dataset contains templates of policies and MoU's on data sharing. You can download the Word-templates and adapt the documents to your national context.

Following April 7, 2014 Executive Order from Mayor Walsh, an Open and Protected Data Policy was drafted to guide the City in defining, protecting, and ultimately making Open Data available and useful to the public. The policy provides working definitions for Open Data, along with information on how it is to be published, reviewed, and licensed.

(1) This is the dataset simulated by high resolution atmospheric model of which horizontal resolution is 60km-mesh over the globe (GCM), and 20km over Japan and surroundings (RCM), respetively. The climate of the latter half of the 20th century is simulated for 6000 years (3000 years for the Japan area), and the climates 1.5 K (*2), 2 K (*1) and 4 K warmer than the pre-industrial climate are simulated for 1566, 3240 and 5400 years, respectivley, to see the effect of global warming. (2) Huge number of ensembles enable not only with statistics but also with high accuracy to estimate the future change of extreme events such as typoons and localized torrential downpours. In addtion, this dataset provides the highly reliable information on the impact of natural disasters due to climate change on future societies. (3) This dataset provides the climate projections which adaptations against global warming are based on in various fields, for example, disaster prevention, urban planning, environmetal protection, and so on. It would realize the global warming adaptations consistent not only among issues but also among regions. (4) Total size of this dataset is 3 PB (3 x the 15th power of 10 bytes).

(*1) Datasets of the climates 2K warmer than the pre-industorial climate is available on 10th August, 2018. (*2) Datasets of the climates 1.5K warmer than the pre-industorial climate is available on 8th February, 2022.

This open-source database of police use of force policies for the 100 largest U.S. city police departments. These documents, obtained through FOIA requests via MuckRock, will be used for future analyses identifying the ways in which they impact police accountability. On the publisher's website, there are also direct links to the Use of Force policies and the FOIA request submitted to each city police department.

The purpose of this dataset is to summarize current community solar policies and low-income stipulations by state in the United States. The dataset is updated multiple times per year. The current version is the first file located below.

Previous versions of the dataset published before August of 2024 can be found in the dataset below labeled “ARCHIVE_State Policies and Programs for Community Solar_Before 08.24.“

This list has been reviewed, but errors may exist, and the list may not be comprehensive. NREL invites input to update or add to the database. Please submit updates, additions, and corrections to Kaifeng Xu (kaifeng.xu@nrel.gov) & Simon Sandler (simon.sandler@nrel.gov).

Tempe Open Data Change Management and Data Retention Policies includes:Assess the extent of the changePrepare updated metadata and data dictionary

The database includes the classification of 966 active nitrogen-relevant policies from South Asia (including Afghanistan, Pakistan, India, Nepal, Bhutan, Bangladesh, the Maldives and Sri Lanka). The collection during 2020 and 2021 focuses on national level policies; some subnational policies were also collected. Data collection involved building on an existing open access global database developed by Kanter et al., 2020 that contained 51 policies for South Asia established to 2017 sourced by the environmental law ECOLEX database. Further policies were collected mostly from online sources: such as international policy databases: FAOLEX and national government and ministry websites. A protocol for policy collection and classification was established and followed to ensure consistent and thorough collections across the eight countries. Policies were classified according to a variety of parameters including the sink (air, water etc.) and sector (agriculture, industry etc.) they address and by type of policy. Policies were clustered if they had a central node policy in place and if a ‘subordinate policy’ (including amendments) did not offer anything new in terms of content related to Nitrogen management. This data was collected as part of a collective partnership that brings together leading organisations from across South Asia and the UK to reduce the adverse global impacts of nitrogen pollution on the environment, health, and wellbeing. More specifically providing a resource for both SANH partners and the wider scientific and policy community to understand the nitrogen policy landscape in the south Asian region. Furthermore, this research contributes to efforts in building a nitrogen policy arena promoting sustainable management of nitrogen, mitigating adverse effects. The dataset provides a thorough overview of available nitrogen related policies in South Asia but does not provide a complete set of all the nitrogen relevant policies available in each country. In some cases, this was due to our dependency on policy availability online, and some websites were not maintained. In addition, we excluded policies established post 2020 to avoid policy responses to COVID19 and to align more closely with the original global study. Repealed policies were omitted from the database.

Dataset

This dataset was created by Charlie Zimmerman

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