The data.zip dataset contains metadata and total suspended solids, total phosphorus, nitrate plus nitrite, and total Kjeldahl nitrogen concentration data and associated daily mean streamflow data for the White River at Muncie, near Nora, and near Centerton, Indiana, 1991-2020
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This layer has been deprecated and archived. Data are updated in a new layer Tempe Public Art (open data) starting in April 2023 at https://data.tempe.gov/datasets/tempegov::tempe-public-art-open-data/about.Content provided in this feature is presented as points. These points help visualize the locations of Tempe's diverse collection of permanent and temporary public art. Tempe Public Art promotes artistic expression, bringing people together to strengthen Tempe's sense of community and place. Data Dictionary
http://eidc.ceh.ac.uk/administration-folder/tools/ceh-standard-licence-texts/OGLnonceh/plainhttp://eidc.ceh.ac.uk/administration-folder/tools/ceh-standard-licence-texts/OGLnonceh/plain
The Water Quality Archive provides data on water quality measurements taken from sampling points around England and then analysed to measure aspects of the water quality and / or the environment at that point. This record is for the Water quality data archive homepage where all records are accessible. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved. Data from 2000 are available as Open Data, accessible via an API or provided as subsets by year / region and by purpose (compliance or monitoring). Data are regularly updated. Data from 1960 to 2000 are available under licence on request from the Environment Agency.
This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. The Maryland Environmental Trust (MET) is a statewide local land trust governed by a citizen Board of Trustees. Since its creation by the General Assembly in 1967 - MET's main goal is the preservation of open land - such as farmland - forest land - and significant natural resources. The primary tool for doing this is the conservation easement - a voluntary agreement between a landowner and the MET Board of Trustees. Map Service Link: http://archive.geodata.md.gov/imap/rest/services/ Environment/MD_ArchivedProtectedLandsAcquisitions/MapServer/21 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
The following datasets are no longer maintained and will not receive further updates. They remain available as a snapshot in time for the public to use. Greenworks is an initiative of the Office of Sustainability that aims to make Philadelphia a sustainable city. Greenworks Philadelphia envisions a city where all Philadelphians: Have access to healthy, affordable, and sustainable food and drinking water. Breath healthy air inside and outside. Use clean, efficient, affordable energy. Prepare for climate change and reduce carbon pollution. Benefit from parks, trees, stormwater management, and healthy waterways. Have access to safe, affordable, and low-carbon transportation. Waste less and keep our neighborhoods clean. Benefit from sustainability education, employment, and business opportunities.
The global market size for Pop Up Satellite Archival Tags (PSATs) was valued at approximately USD 25 million in 2023 and is expected to reach nearly USD 45 million by 2032, growing at a CAGR of 6.5% during the forecast period. One of the key growth factors contributing to this market is the increasing demand for advanced tagging technologies to monitor and manage marine life, fisheries, and oceanographic research. This growth is fueled by the need for more precise and comprehensive data collection methods to address the pressing issues of marine conservation and resource management.
The increasing focus on marine biodiversity conservation has significantly driven the demand for PSATs. Governments and environmental organizations are prioritizing the preservation of marine ecosystems, leading to substantial investments in technologies that can provide detailed insights into marine life behavior and migration patterns. PSATs have proven to be instrumental in this regard, offering researchers the ability to track the movements and environmental conditions of marine species with high accuracy. This trend is expected to continue as the global emphasis on environmental sustainability intensifies.
Another major growth factor for the PSAT market is the rising need for sustainable fisheries management. Overfishing and illegal fishing practices have severely impacted fish populations worldwide, necessitating the adoption of advanced monitoring tools to ensure sustainable fishing practices. PSATs provide critical data on fish movement, habitat use, and survival rates, enabling fisheries managers to implement more effective regulations and quotas. As the global demand for seafood continues to rise, the reliance on PSATs for sustainable fisheries management is likely to grow substantially.
Technological advancements in satellite communication and miniaturization have also played a pivotal role in the expansion of the PSAT market. Improvements in battery life, data transmission capabilities, and the size of the tags have made them more efficient and accessible for a broader range of applications. Furthermore, the integration of machine learning and artificial intelligence with PSAT data analytics is enhancing the precision and utility of the information gathered, thereby attracting more users across various sectors. These technological innovations are expected to drive the market growth significantly over the forecast period.
Regionally, North America holds a substantial share of the PSAT market, driven by robust research activities and government initiatives focused on marine conservation. The presence of leading research institutions and a strong regulatory framework supporting environmental protection further bolster the market in this region. Europe follows closely, with significant investments in oceanographic research and sustainable fisheries management. The Asia Pacific region is anticipated to exhibit the highest growth rate, fueled by increasing awareness of marine conservation issues and the expansion of commercial fisheries. The adoption of PSAT technology in Latin America and the Middle East & Africa is also on the rise, although at a slower pace compared to other regions.
The PSAT market can be segmented by product type, including MiniPAT, sPAT, mrPAT, and others. Each of these product types serves different purposes and offers unique benefits, contributing to their demand across various applications. MiniPATs, for instance, are widely used due to their compact size and extended battery life, making them suitable for long-term studies of smaller marine species. These tags are particularly favored by researchers looking to gather detailed data without interfering significantly with the animal's natural behavior.
sPATs, or standard Pop-up Archival Tags, are another popular segment, known for their robustness and durability. These tags are typically used for larger marine animals such as sharks and tuna, where the size of the tag is less of an issue. sPATs offer a balance between data collection capabilities and physical resilience, making them a versatile choice for a wide range of marine research projects. Their ability to withstand harsh marine conditions and provide reliable data over extended periods makes them a valuable tool for both scientific research and fisheries management.
mrPATs, or Mini Research Pop-up Archival Tags, represent a niche but growing segment within the PSAT market. These tags are designed for specialized research application
Germany is the country that leads in terms of data sustainability as a key consideration of data governance in organizations in 2020, as 66 percent of respondents from Germany acknowledged that this is the case. Other noteworthy countries that are mindful of data sustainability, namely to ensure data production, storage, and use are sustainable, are the United States and the United Kingdom.
In the SHARP-ID, environmental impact assessment was based on attributional life cycle analyses using environmental indicators greenhouse gas emission (GHGE) and land use (LU). Life cycle inventory data of 182 primary products were combined with data on production, trade and transport, and adjusted for consumption amount using conversions factors for production, edible portion, cooking losses and gains, and for food losses and waste in order to derive estimates of GHGE and LU for the foods as eaten.
The National Science Foundation (NSF) Arctic Data Center (ADC) preserves and provides access to multi-disciplinary NSF-funded global cryosphere-land-ocean-atmosphere data (including in situ and remote sensing, video, sound, and other data). This collection includes all such data which has been provided to and has been archived by the NOAA National Centers for Environmental Information (NCEI). The data span from 1800 to present and include many measured variables and calculated parameters.
The National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) final (FNL) gridded analysis datasets for the period from Jan 2000 until the current day. The NCEP GFS is a global spectral data assimilation and forecast model system giving 6 hourly (00, 06, 12 and 18 UTC) atmospheric variables at 26 levels with a resolution of .5 degree. The FNL version uses the same GFS model but the analysis is run at 3 hours past synoptic time instead (when more observational data is available), where a shorter (GDAS), 9-hr forecast is run. This 9-hr forecast is presumably of slightly better quality, as its analysis contains more observational information. The GFS model superceeded the AVN model in October 2002. Data is stored under a single folder(fnl) with 6 hourly files Zipped and Tar'd into a single monthly file with the naming convention {gfsYYMM (YY=year, MM=month)}. This archive is updated on a monthly basis.
VT’s long-term archive of lake physical and chemical water quality. Maintained on a Sequel Server platform. Database integrates measurements from 1977 to present, and is continually being updated and augmented. Numerous parameters are archived within the database.
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This dataset contains data and codes required to replicate the results in the article "Greed is good? Of equilibrium impacts in environmental regulation" to be published in Journal of Environmental Economics and Management. See the enclosed Readme for further instructions.
This Gardline marine geophysical survey took place during July/August 2007 in the Thames Estuary aboard the THV Alert. This survey was undertaken for the Thames Regional Environmental Characterisations Project. This study was funded by the Marine Environment Protection Fund (MEPF) a marine component of the Aggregate Levy Sustainability Fund (MALSF). Seabed samples were obtained using a clamshell grab and photo and video data exist for these sites. Sea floor data collected were high-resolution multibeam bathymetry, backscatter, magnetometer and side-scan sonar. Subsurface data were gathered using a Surface Tow Boomer. Most of the data were recorded digitally. These data are archived with the MEDIN Data Archive Centres (DACs), including the BGS DAC for geology and geophysics. Technical details for the survey are contained in Gardline Report 0871/Ops.
This data-set was collected to replicate the findings of Schuldt et al. (2011). It contains data from the UK, USA, and Australia collected between 2nd of January 2018 and the 29th of April 2019. It measures individuals political party, and belief in environmental phenomena.
The study examined the relationship between environmental accounting and sustainability development in Nigeria from 2007 - 2016. Oil spillage cost, oil drilling waste disposal cost and degradation cost were the proxies of environmental accounting while human development index and human poverty index were sustainability development proxies. The researchers adopted correlational research design for the study. The study used secondary data obtained from Nigeria National Petroleum Corporation annual reports, CBN Statistical Bulletin, National Bureau of Statistic Bulletin and United Nation Development Programs (UNDP) Report 2016. The research Hypotheses test and other data were analyzed by Pearson Product Moment Correlation and simple linear regression tools with the aid of SPSS version 22. The outcomes of this study depicted that environmental accounting variables (OSC and ODWDC) has no significant relationship with sustainability development in Nigeria in the period of this study. However, Degradation cost revealed significant relationship with both human development index and human poverty index. Thus, the study concluded that environmental accounting has not fully influenced sustainability development in Nigeria in the period of this study. It is recommended that the National Assembly should immediately pass a Degradation Protection Law mandating all Oil multinational companies operating in the Niger-Delta region to observe and comply strictly with the highest environmental protection standards in line with global best practice to prevent degradation. We equally endorsed that Nigerian government should initiate degradation oriented policies in governance to ensure adequate human capital development of the people of the oil producing states in particular and the entire country aimed at reducing the rate of poverty, unemployment, and improve decent standard of living.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global archive boxes market size was valued at $2.8 billion in 2023, with a projected growth to $4.5 billion by 2032, at a compound annual growth rate (CAGR) of 5.2%. This market is propelled by the increasing need for organized storage solutions across various sectors including corporate, educational institutions, and government agencies. The rising awareness about the importance of efficient document storage and the increasing penetration of online retail channels are significant factors driving the market growth.
One of the primary growth factors behind the archive boxes market is the growing demand for organized storage solutions in corporate environments. With the increasing volume of documentation and records that need to be maintained for regulatory compliance and operational purposes, corporations are investing significantly in storage solutions. This trend is further amplified by the rising adoption of hybrid work models, which necessitate efficient document storage solutions both at home and in office settings. The corporate sector's focus on sustainability is also promoting the use of recyclable materials for archive boxes.
The educational sector is another significant growth driver for the archive boxes market. Educational institutions, from schools to universities, generate a vast amount of paperwork that needs to be systematically stored for future reference and compliance. The increasing digitalization of educational records is also complementing the need for physical storage solutions, as institutions strive to maintain a hybrid record-keeping system. Additionally, special initiatives by government bodies to ensure the availability of historical academic records further fuel the demand for durable and reliable archive boxes.
Government agencies also contribute to the steady growth of the archive boxes market. These agencies are required by law to keep extensive records of every transaction, decision, and meeting. The need for secure and organized storage becomes paramount in such cases, driving the demand for sturdy and reliable archive boxes. Furthermore, the rising emphasis on data protection and confidentiality in governmental operations is boosting the adoption of high-quality archive boxes that offer additional security features.
Geographically, the market sees varied growth patterns, with North America and Europe leading due to their well-established corporate and educational infrastructures. These regions are also at the forefront of regulatory compliance, which mandates the use of archive boxes for record-keeping. Meanwhile, Asia Pacific is expected to witness the highest growth rate due to rapid industrialization, increased digitization across sectors, and a burgeoning corporate sector. Latin America and the Middle East & Africa are also emerging as potential markets, driven by increasing awareness and adoption of organized storage solutions.
The archive boxes market segmented by material type includes corrugated cardboard, plastic, metal, and others. Corrugated cardboard is the most widely used material due to its cost-effectiveness and sustainability. The demand for corrugated cardboard archive boxes is particularly high in sectors such as education and government agencies, where bulk storage is often required. These boxes are lightweight yet durable, providing a balance between functionality and cost. Furthermore, the increasing focus on eco-friendly and recyclable materials is driving the growth of corrugated cardboard in the archive boxes market.
Plastic archive boxes, on the other hand, offer higher durability and protection against elements such as water and pests. These boxes are often favored in industrial settings where the stored contents might be subject to harsh conditions. Plastic archive boxes are also used in environments where long-term storage is critical, as they offer better protection against degradation over time. Despite their higher cost compared to cardboard, the long-term benefits and durability make plastic archive boxes a preferred choice for specific applications.
Metal archive boxes represent a niche segment, primarily used in highly specialized environments requiring maximum security and durability. These boxes are often used in government and military applications where the contents are of high value and require robust protection. Metal archive boxes are also used in certain industrial applications where flammability and extreme conditions are a concern. Although this segment is smaller in size, the hig
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Understanding trends in environmental quality is important for individuals and policymakers. Typically, trends in environmental quality are determined solely through comparisons of unconditional or conditional mean pollution levels. However, reaching unambiguous conclusions on the basis of only the first moment of the (unconditional or conditional) distribution is problematic since it ignores what is occurring in different regions of the distribution. Even relying on indices that incorporate both mean and variance is suspect to the extent that relative rankings are not typically robust to index choice. Addressing these concerns, we adapt recent developments in the stochastic dominance literature to test for unambiguous relations between current and past distributions of toxic releases. Using EPA data from 1988-1999, we find statistically significant evidence that the unconditional 1999 distributions of air, land, underground and total toxic releases dominate in a first-degree sense their respective 1988 distributions. While some of this improvement is explained by economic growth, pollution net-of-income improved over the sample period as well. Finally, we document robust differences in the distribution of pollution across regions in the US.
Harvard CGA Geotweet Sentiment Archive is a subset of Harvard CGA Geotweet Archive v2.0 enriched with a sentiment score. It contains the tweet identification records along with a sentiment score based on tweet text for about 4.3 billion geo-tagged tweets since 2019. This sentiment score was calculated using Bidirectional Encoder Representations from Transformers. More information about this methodology can be found in our Nature Paper on Twitter Sentiment Geographical Index. This dataset is available to the academic community at large, unlike the Harvard CGA Geotweet Archive v2.0 which is under Twitter's redistribution policy restriction for public sharing. It could serve as cross-validation data for publications that used data from Harvard CGA Geotweet Archive v2.0 . If you are interested in accessing this archive, please fill out our Geotweet Request Form. Before requesting or receiving Tweet IDs, requestors must agree to Twitter's Terms of Service, Twitter's Privacy Policy, and Twitter's Developer Policy . Geotweets IDs data provided by CGA can only be used for not-for-profit research and academic purposes. Recipients may not share CGA provided Tweet IDs or content derived from them without written permission from the CGA. Citations: If you use the Geotweet Archive in your research please reference it: "Harvard CGA Geotweet IDs Archive". ======================================================== Schema of Geotweet Census Archive Field name_TYPE_Description message_id----TEXT----Tweet ID score ----FLOAT----BERT sentiment score
This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map assesses and identifies communities that are disadvantaged according to updated Justice40 Initiative criteria. Census tracts in the U.S. and its territories that meet the Version 1.0 criteria are shaded in solid blue colors.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.Use this map in your dashboards, apps, or storymaps to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications. See this blog post for more information.If you have been using a previous version of the Justice40 data, please know that this Version 1.0 differs in many ways. See the updated Justice40 Initiative criteria for current specifics. From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40Symbology updated 2/19/2023 to show additional tracts whose overlap with tribal lands is greater than 0% but less than 1%, to be designated as "Partially Disadvantaged" alongside tracts whose overlap with tribal lands is 1% or more.
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