This study is aimed at investigating the asymmetric and time-frequency co-movements and the hedge or safe-haven properties of carbon efficient indices, the MSCI ACWI Sustainable Impact, and MSCI World EGS indices, in relation to technology and innovation-themed investments. In doing so, the ADCC-GJR-GARCH and wavelet coherence techniques are applied to a daily return series ranging from January 2019 to January 2023. Findings of the ADCC-GJR-GARCH model show negative and insignificant asymmetric linkage among underlying indices during the sample period. The S&P 500 carbon efficient index (CEI) acts as a strong hedge or safe-haven for technology and innovation-themed indices during tranquil and tumultuous periods. The MSCI ACWI Sustainable Impact, MSCI World EGS, and carbon efficient indices except for S&P 500 CEI exhibit weak hedge or safe-haven attributes. Wavelet coherence reveals negative (positive) co-movements between the thematic and carbon efficient indices in short-term (medium-term and long-term) horizons with consistent leading behavior of thematic indices to carbon efficient indices outcomes. It justifies the presence of short-lived hedging or safe-haven characteristics in the thematic domain for investors. These strong and weak hedge or safe-haven characteristics of low carbon and sustainability indices reveal that adding low carbon efficient and sustainable investments to a portfolio result in considerable diversification benefits for investors who tend to take minimal risk in both tranquil and tumultuous periods. The current findings imply that financial institutions, thematic investing companies, and governments need to encourage carbon efficient technology transfer and innovation-themed investments by increasing the fund allocations in underlying asset classes. Policy-making and regulatory bodies can encourage investors to make carbon-efficient and thematic investments and companies to issue carbon-efficient stocks or investments to safeguard social and economic risks during fragile periods. These investments can offer greater opportunities to combat the intensity of economic shocks on portfolios for responsible or sustainable investors.

This thematic map of coroplets represents the demographic indicator Population. Dependency index, calculated as 'sum of the population aged 0 to 14 years and the population aged 65 years and over divided by the population aged 15 to 64' for the territorial delimitation of municipios of the Canary Islands, from the Municipal Register of Inhabitants (PMH) at this date.

A subset of the Arizona Social Vulnerability Index (Overall).The Arizona Theme contains data about nine (9) factors. In collaboration with ADHS and the Arizona Health Improvement Plan (AzHIP) Data Advisory Committee (DAC), Arizona State University selected metrics for the 9 factors that the DAC believed were most important to include. Detailed information about methods and data sources can be found in this report and in this data dictionary.

This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03).

Normalized difference vegetation index (NDVI) produced from the 2000 Enhanced Landsat Thematic Mapper(ETM) image. NDVI is a means of monitoring density and vigour of green vegetation growth using the spectral reflectivity of solar radiation. It is computed as follows: (NIR-RED) / (NIR+RED), where NIR (Near Infra-Red) is the ETM band 4 (0.76-0.9 micrometers) and RED is band 3 (0.78-0.82 micrometers).

This thematic map of coroplets represents the demographic indicator Population. Femininity index, calculated as 'population of women divided by the population of men' for the territorial delimitation of sections of the Canary Islands, from the Municipal Register of Inhabitants (PMH) at this date.

Twenty-five georeferenced sets of images and maps estimating marsh vegetation cover and vulnerability were derived from Landsat Thematic Mapper (TM) Path 022 and Rows 039 and 040 digital number data sets collected between 1984 and 2011 for a time-series analysis to evaluate the effect of the Deepwater Horizon oil spill (April 20 - September 19, 2010) on the Terrebonne, Barataria, and Breton Sound basin emergent marshes. Fourteen datasets were classified as clear-sky (UDI R4.x264.000:0049), ten as cloudy-sky (UDI R4.x264.000:0050) and one dataset containing the September 2, 2009 clear-sky dataset that as a three to four pixel-wide line of missing data located over the southern Terrebonne and Barataria marshes (UDI R4.x264.000:0051). The projection is the Universal Transverse Mercator (UTM Zone 15 North). The file format is georeferenced ENVI data (.dat) and header (.hdr) files. Surface reflectance values were used to calculate the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI), and the Normalized Difference Vegetation Index (NDSI) for each Normalized Difference Composition (NDXI) clear-sky data sets. Linear spectral unmixing of the three stacked normalized difference indices data sets (NDXI) with image-derived spectral endmembers of marsh vegetation, water, and marsh substrate/soil derived from the composite NDX data sets were used to estimate of the percentage of marsh vegetation, water, and marsh substrate for each marsh pixel in the Terrebonne, Barataria, and Breton Sound basins. The classified maps consist of three classes: (1) non-marsh or unclassified pixels have a value of 0 and are black; (2) pixels with 40% or less vegetation have a value of 1 and are black or gray; and (3) pixels with more than 40% marsh vegetation or are classified as intact marsh. Intact marsh pixels have a value of 2 and are white. Additional masks were used to estimate the percentage of intact marsh area in four twenty-km wide zones oriented roughly parallel to the coast and twelve three-km wide segments located immediately adjacent to the gulf waters in Terrebonne Bay, Barataria Bay and Breton Sound. The four zones and twelve coastline segments were used to evaluate the effects of Deepwater Horizon oil spill and sea level rise on the Terrebonne, Barataria, and Breton Sound basin emergent marshes.

Normalized difference vegetation index (NDVI) produced from the 1990 Landsat Thematic Mapper(TM) image. NDVI is a means of monitoring density and vigour of green vegetation growth using the spectral reflectivity of solar radiation.

Graph and download economic data for Producer Price Index by Industry: Amusement and Theme Parks: Amusement and Theme Park Food and Beverage Sales (PCU7131107131102) from Jun 2006 to Jan 2025 about parking, amusements, recreation, beverages, food, sales, PPI, industry, inflation, price index, indexes, price, and USA.

United States - Producer Price Index by Industry: Amusement and Theme Parks was 198.59200 Index Jun 2006=100 in February of 2022, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Amusement and Theme Parks reached a record high of 199.97600 in December of 2021 and a record low of 100.00000 in June of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Amusement and Theme Parks - last updated from the United States Federal Reserve on March of 2025.

This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03).

Normalized difference vegetation index (NDVI) produced from the 1985 Landsat Thematic Mapper(TM) image. NDVI is a means of monitoring density and vigour of green vegetation growth using the spectral reflectivity of solar radiation.

Url of original source: https://apiportal.uis.unesco.org/bdds

Graph and download economic data for Producer Price Index by Industry: Amusement and Theme Parks: Amusement and Theme Park Admissions (PCU7131107131101) from Jun 2006 to Feb 2025 about amusements, admissions, recreation, PPI, industry, inflation, price index, indexes, price, and USA.

This thematic map of coroplets represents the demographic indicator Population. Youth index, calculated as 'population from 0 to 14 years divided by the population of 65 years or older' for the territorial delimitation of large regions of the Canary Islands, from the Municipal Register of Inhabitants (PMH) at this date.

This Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data set was developed from Landsat 5 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2003 (SMEX03).

The UK Onshore Geophysical Library was established in 1994 in conjunction with the Department of Trade and Industry (DTI) and the UK Onshore Operators Group (UKOOG). The Library manages the archive and official release of seismic data recorded over landward areas of the UK. By agreement with the DTI and HMSO, the Library operates as a registered charity, funded by revenues raised from data sales and donations, with the long term objective of bringing all available UK onshore digital seismic data into secure archival storage, whilst providing efficient access to all interested parties. BGS has access to the data at cost of copying only for science budget work. Data index on the BGS Geoscience Data Index. This layer is only available at specific zoom levels. Please zoom to a larger scale to interrogate the map.

Surgo Ventures' Maternal Vulnerability Index (MVI) ranks the U.S. states and counties on indicators measuring drivers of poor maternal health outcomes. Maternal vulnerability is assessed based on 43 drivers grouped into six themes: (1) Reproductive Healthcare, (2) Physical Health, (3) Mental Health and Substance Abuse, (4) General Healthcare, (5) Socioeconomic Determinants, and (6) Physical Environment. The MVI captures factors that put birthing people at increased risk of adverse outcomes during pregnancy that may lead to morbidities and/or death.

Data gaps on both maternal outcomes and their determinants constrain crafting evidence-based policies and interventions to address the maternal health crisis in the US. A growing body of evidence has found that the environment in which mothers live, work, deliver and raise their children can increase their risk of adverse health outcomes during and beyond pregnancy. Although data on these environmental and structural factors exist, the US MVI is the first nation-wide index to measure how contextual factors systematically expose populations of mothers to environments of lower or higher risk. State and local decision makers can use the tool to better understand where and why mothers are at increased risk for poor outcomes, to develop tailored, localized interventions and/or policies. Researchers can use the MVI, either alone or linked with other datasets, to provide a richer and more nuanced understanding of the drivers of poor maternal health outcomes in the US.

Data files:

mvi_data_dictionary.csv: Names and definitions of the variables in the data files.

mvi_county.csv: US MVI and six thematic scores for 3141 counties in the continental US and District of Columbia.

mvi_state.csv: US MVI and six thematic scores for 50 states and District of Columbia.

mvi_architecture_and_data_sources.csv: Index architecture and data sources by indicator used to construct the Maternal Vulnerability Index.

This data set consists of Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) data, derived from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery.

This layer of the map based index (GeoIndex) providex an index to 17,500 borehole rock samples (drillcore) from the Mineral Reconnaissance Programme (MRP) and related studies. The UK Government's Department of Trade and Industry (DTI) funded BGS to provide baseline information on areas prospective for the occurrence of metallic minerals in Great Britain. This programme, known as the MRP, ran continuously from 1973 to 1997 and covered particular locations across Great Britain. It was designed to stimulate private sector exploration and to encourage the development of Britain's indigenous mineral resources. Under the programme a number of boreholes were drilled to gather information. This layer is only available at specific zoom levels. Please zoom to a larger scale to interrogate the map.