The size of the Boston Data Center market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 3.50% during the forecast period.Boston Data Center Market is a massive marketplace for business and organizations in search of secure, reliable data storage and processing. A data center is an edifice which houses computer systems and the supporting components that carry on their work; it consists of storage systems and telecommunication systems. Data centers offer the critical infrastructure of present-day digital infrastructure. Companies are now in a position to store huge volumes and yet process the data. Therefore, the Boston market becomes alluring as it contains high strength technology companies, financial institutions, and educational institutions, all of which have a strong dependence on robust data center infrastructure. Recent developments include: January 2023: TOWARDEX completed the first open-access utility entrance solution for fiber optic networks in the Boston area at CoreSite DC. The Hub Express System, a new fiber optic corridor, provides a hyper-scale network of underground conduits to accommodate carrier installations of more than 135 additional fiber optic cables, significantly increasing the area's digital infrastructure capabilities for interconnected data centers and laying the groundwork for the continued growth of internet traffic throughout New England.. Key drivers for this market are: Growing Adoption of Cloud Services is expected to flourish the market, Increasing Growth in Wholesale Datacenter Multi-tenant Spaces to propel demand (albeit from a lower base); Increased Emphasis on Compliance with Data Regulations and Cost-Effective Nature of Multi-tenant Facilities to Drive Adoption among SME's. Potential restraints include: Dependence on Regulatory Landscape & Stringent Security Requirements. Notable trends are: Cloud Computing in BFSI will increase the demand of Data Center.

The Boston data center market, fueled by a robust technology sector and increasing demand for cloud services and digital infrastructure, presents a significant growth opportunity. With a projected CAGR of 3.50% from 2025 to 2033, the market is expected to experience substantial expansion. Key drivers include the burgeoning presence of established and emerging technology companies in the region, the need for low-latency connectivity, and the growing adoption of hybrid and multi-cloud strategies. The market is segmented by data center size (small, medium, large, massive, mega), tier type (Tier 1 & 2, Tier 3, Tier 4), and absorption (utilized and non-utilized). Within the utilized segment, colocation types (retail, wholesale, hyperscale) and end-user industries (cloud & IT, information technology, media & entertainment, government, BFSI, manufacturing, e-commerce) further define market dynamics. While factors like land scarcity and energy costs may pose challenges, the overall positive trajectory is supported by ongoing investments in infrastructure and the strategic importance of Boston as a technological hub. The competitive landscape is characterized by a mix of global giants like Equinix and Digital Realty Trust, alongside regional players and specialized providers. The market share is likely distributed amongst these companies based on their capacity, location, and client base. The North American region, particularly the United States, will dominate the market share due to strong existing infrastructure and high demand from major technology firms. However, other regions, such as Europe and Asia Pacific, will also witness notable growth, driven by increasing digitalization and investment in data center infrastructure within those regions. Analysis of historical data (2019-2024) allows for a robust projection for the future. A focus on sustainability and energy efficiency will increasingly shape the industry, influencing both investment decisions and the selection of data center providers. Overall, the Boston data center market offers a promising outlook for sustained growth, driven by technological innovation and the expanding digital economy. Recent developments include: January 2023: TOWARDEX completed the first open-access utility entrance solution for fiber optic networks in the Boston area at CoreSite DC. The Hub Express System, a new fiber optic corridor, provides a hyper-scale network of underground conduits to accommodate carrier installations of more than 135 additional fiber optic cables, significantly increasing the area's digital infrastructure capabilities for interconnected data centers and laying the groundwork for the continued growth of internet traffic throughout New England.. Notable trends are: Cloud Computing in BFSI will increase the demand of Data Center.

This dataset provides information about the number of properties, residents, and average property values for New England Business Center Drive cross streets in Andover, MA.

The size of the London Data Center market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 10.32% during the forecast period.The London data center market is one of the important business centers globally, with essential infrastructural provision for the storage and processing of data. A data center is an entity of computers and all their subsidiary equipment, like telecommunications and storage systems. Such centers offer high availability and security to sensitive data.The location, excellent connectivity, and highly skilled workforce give the London data center market its competitive edge. This hub provides entry points into Europe and beyond, hence allowing data exchange globally. Companies based in London and around the world use such centers for cloud computing, e-commerce, financial transactions, and research purposes. The demand for storage, processing, and networking is increasing rapidly due to the growing requirement for data storage, network connectivity, artificial intelligence, and the Internet of Things. Recent developments include: November 2022: A new data center is being proposed in east London, UK. The planning proposal proposes demolishing the existing office buildings and constructing a 30-story residential structure, a 36-story student residential building, a data center, and a facility to provide flexible workspace, community use space, and a swimming pool. EID (General Partner) LLP is the project's applicant, with Simpson Haugh/Nicholas Webb/Savills acting as architects and agents. The eight-story complex might have a potential IT power of 30MW and six 1,200 sqm (12,900 sq ft) halls. According to the petition, the facility would require a backup power source "in the form of 18 diesel-fueled generators of 3.3 MW.", March 2022: Cloud HQ, the 81-megawatt, 831k sqft(77.2k sqm) hyperscale data center campus is being built around Didcot, England, a town about 60 miles (97 kilometers) west of Central London, by CloudHQ, a hyperscale data center developer and operator in the United States and Europe. CloudHQ's Didcot data center campus will require a GBP 700 million capital expenditure at full construction.. Key drivers for this market are: Rising Regulatory and Compliance Mandates, Growth of Data Volume. Potential restraints include: Varying Structure of Regulatory Policies and Data Address Validation. Notable trends are: Mega Size Data Center are Expected to Hold Significant Share.

This dataset provides information about the number of properties, residents, and average property values for New England Avenue cross streets in Dorchester Center, MA.

These data, which comprise part of the Smithsonian Institution Master Sediment data file, were abstracted by the staff of the Smithsonian Institution from materials submitted for archival by various groups and individuals. Most of the data in this set were collected by the National Ocean Service (NOS, formerly the U.S. Coast and Geodetic Survey) for the purpose of charting the coastal waters and navigable waterways of the United States. Prior to 1985, the NOS data were released as part of the National Ocean Surveys Hydrographic Database. After 1985, sediment samples collected by NOS during surveys were transferred to the Smithsonian for archival and textural analysis. All of the data in this set were collected post 1985 and have been processed by the Smithsonian. These data were supplied by the National Geophysical Data Center (NGDC), but this data set contains fields that are only a subset of those fields available in the full Smithsonian data set. For example, the data have been clipped to eliminate those stations that were not from the Gulf of Maine, Georges Bank, or the shelf and slope off southeastern New England. Last update of this file was July, 2001.

In addition to interactive maps, some data is also available for download from this site. This is a great resource for New England residents trying to learn more about their local coastal human uses, coastal environment and marine life. Some samples of interactive maps include aquaculture, recreation, commercial fishing, fish and shellfish, mammals and turtles, habitat, bathymetry and water quality to name a few. Northeast Ocean Data is always expanding upon available resources; sometime in 2015 two new interactive maps will be added - one featuring birds, and another featuring restoration projects. Northeast Ocean Data is developed and maintained by a diverse working group of organizations throughout the Northeast. These include a variety of federal, regional and private entities.

These data were collected for use in of the RI Coastal Resource Management Council's Ocean Special Area Management Plan planning process and were also intended as an update and refinement to a similar set of maps created in 2004 by New England regional Sea Grant. This data layer was developed from September 2008 - January 2009, published in February 2009 and reviewed by fishermen and updated a final time in September - October 2009. Data were collected through interviews and mapping exercises conducted in person, both one-on-one and in small groups, with representatives of the RI Fishermen's Alliance, independent fishermen, and unaffiliated fishermen. Other RI fishermen's associations participated in the Ocean SAMP stakeholder process but, to date, have not yet participated in the data collection effort.

In each interview, fishermen were first given a brief introduction to the RI Ocean SAMP planning process and shown NOAA nautical charts of the SAMP area. Researchers then asked the fishermen to describe where they fish, and to draw polygons encompassing these areas on the nautical charts. Fishermen were then asked follow-up questions about these areas, including (1) During which seasons do you fish in each area?; (2) With what gear?; and in some cases (3) What are your target species in each area? Following these meetings, data were aggregated onto one set of charts, which were then compared with the 2004 maps to corroborate the current information. Charts were then scanned and georeferenced and polygons were digitized in order to create Geographic Information Systems (GIS) shapefiles. Attribute fields were created for the data layers to record available information about seasonality and gear type. It should be noted that this dataset has some limitations and data may be incomplete. In addition, these data do not include out-of-state fisheries which may be conducted within the SAMP area, such as the herring mid-water trawling fishery based out of other New England ports.

EOS-WEBSTER has agreed to serve satellite image subsets for the Forest Watch ("http://www.forestwatch.sr.unh.edu") program and other educational programs which make use of satellite imagery. Forest Watch is a New England-wide environmental education activity designed to introduce teachers and students to field, laboratory, and satellite data analysis methods for assessing the state-of-health of local forest stands. One of the activities in Forest Watch involves image processing and data analysis of Landsat Thematic Mapper data (TM/ETM+) for the area around a participant's school. The image processing of local Landsat data allows the students to use their ground truth data from field-based activities to better interpret the satellite data for their own back yard. Schools use a freely available image processing software, MultiSpec ("http://dynamo.ecn.purdue.edu/%7Ebiehl/MultiSpec/"), to analyze the imagery. Value-added Landsat data, typically in a 512 x 512 pixel subset, are supplied by this collection. The Forest Watch program has supplied the data subsets in this collection based on the schools involved with their activities.

Satellite data subsets may be searched by state or other category, and by spectral type. These images may be previewed through this system, ordered, and downloaded. Some historic Landsat 5 data subsets, which were acquired for this program, are also provided through this system. Landsat 5 subsets are multispectral data with 5 bands of data (TM bands 1-5). Landsat 7 subsets contain all bands of data and each subset has three spectral file types: 1) multispectral (ETM+ bands 1-5 and 7), 2) panchromatic (ETM+ band 8), and 3) Thermal (ETM+ band 6 high and low gain channels). Each spectral type must be ordered separately; this can be accomplished by choosing more than one spectral file type in your search parameters.

These image subsets are served in the ERDAS Imagine (.img) format, which can be opened by newer versions of the MultiSpec program (versions greater than Nov. 1999). The MultiSpec program can be downloaded via the Internet at: "http://dynamo.ecn.purdue.edu/%7Ebiehl/MultiSpec/"

A header file is provided with most Landsat 7 subsets giving the specifics of the image.

Please refer to the references to learn more about Forest Watch, Landsat, and the data this satellite acquires.

In the near future we hope to release a new Satellite Interface, which would allow a user to search for satellite data from a number of platforms based on user-selected search parameters and then sub-set the data and choose an appropriate output format.

If you have any other questions regarding our Forest Watch Satellite data holdings, please contact our User Services Personnel (support@eos-webster.sr.unh.edu).

Available Data Sets:

Many New England subsets are available, based on the location of participating schools in the Forest Watch program. Additional scenes are also included based on historical use within the Forest Watch program. Other scenes may be added in the future. If you don't see a scene of the location you are interested in, and that location is within New England, then please contact User Services (support@eos-webster.sr.unh.edu) to see if we can custom-create a subset for you.

Data Format

The data are currently held in EOS-WEBSTER in ERDAS Imagine (.img) format. This format is used by new versions of the MultiSpec program, and other image processing programs. Most of the subset scenes provided through this system have been projected to a Lambert Projection so that MultiSpec can display Latitude and Longitude values for each image cell (see "http://www.forestwatch.sr.unh.edu/online/" Using Mac MultiSpec to display Lat./Lon. Coordinates).

Data can be ordered by spectral type. For Landsat 7, three spectral types are available: 1) Multispectral (bands 1-5 & 7), 2) Panchromatic (pan), and 3) Thermal (bands 6 a&b) (see Table 2). The multispectral (ms) files contain six bands of data, the panchromatic (pan) files contains one band of data, and the thermal (therm) files contain two bands of data representing a high and low sensor gain.

A header file is provided for most Landsat 7 subsets which have been projected in the Lambert projection. This header file provides the necessary information for importing the data into MultiSpec for Latitude/Longitude display.

This dataset includes shorelines from 161 years ranging from 1847 to 2008 within the Boston coastal region from Carson Beach in South Boston to Weymouth River, including the Boston Harbor Islands. Shorelines were compiled from T-sheets and air-photos obtained from the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the MA CZM Shoreline Change Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. For publication purposes, the shoreline data for Massachusetts were organized by region in order match the extent of previously published uncertainty files used in shoreline change calculations. Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management (MA CZM) and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS)..

This data set contains lithologic information on bottom sediments from the Continental Margin Program. The program was a joint collaboration between the U.S. Geological Survey and the Woods Hole Oceanographic Institution during the 1960s to conduct a geological reconnaissance investigation of the continental shelf and slope off the Atlantic coast of the United States. Only those records without complete size analyses and only those stations from the Gulf of Maine, Georges Bank, and southeastern New England shelf and slope are included in this data set. Other stations where detailed textural analyses are available or are from other areas have been excluded. Furthermore, dredges were used to collect most of the bottom samples, resulting in winnowing that has resulted in lithologic descriptions that are texturally coarser than actually present. Care should be taken when using this dataset.

The data in this layer are from a study that evaluated and documented the historic and projected future dredging and dredged material disposal needs of the coastal rivers and harbors of the states of Maine and New Hampshire. Documentation of historic dredging and disposal activities was accomplished through the collection of data primarily from the files of the ACOE, New England Division, in Waltham, Massachusetts, supplemented by information from the states of Maine and New Hampshire and previously published reports. This historic dredging occurred between 1950-1993 and involved 499 dredging events.

Variability in sediment properties with depth and the thickness of individual sedimentary layers are critical determinants of seabed acoustic response. The New England Mud Patch (NEMP), located south of Cape Cod, is an unusual feature on the U.S. Continental Shelf in that it is composed of fine-grained sediment layers containing a relatively-homogeneous mix of sand, silt, and clay-sized particles bounded by more typical sandy shelf sediments. The unique characteristics and nature of this deposit is due to a derivation of sediments that have been transported to, and deposited in, a basal bowl-shaped depression since the last glacial maximum. Ninety-two piston, vibra-, and gravity cores with a maximum length of 8.2 meters were collected from across the New England Mud Patch during a 2-leg, 10-day cruise aboard the R/V Endeavor in the spring of 2016. Geologic characterization and analysis of a subset of the cores including grain size, CaCO3, mineral composition, and bulk index properties (undrained shear strength, water content, density, and porosity) of discrete samples was carried out at the USGS Woods Hole Coastal and Marine Science Center's (WHCMSC) Sediment Analysis Laboratory. This data release contains the results of these analyses, along with visual core descriptions and summary sheets for each core analyzed for this study.

*ANOVA for continuous variables; Fisher exact test for categorical variables.There were no significant differences in age or gender across the recruitment cohorts. A key goal of this study was to minimize the confounding correlation between present age and functional status. This goal was largely achieved, both overall and within SMA groups Type II and III, and to a partial extent, SMA Type I through a competitive recruitment plan managed through the data coordinating center at the New England Research Institutes (NERI). The Modified Hammersmith Motor Function Scale differentiated between SMA subjects and controls and between Type I, II and III subjects, as did respiratory support, reflecting current level of function. FVC and the nutritional assessment score significantly distinguished between SMA type; however, BMI proved to be far less discriminatory.

Representative quotations on the value of coaching in providing creative and emotional support.

Cores collected from recent drilling in western Cape Cod, Massachusetts provide insight into the topography and petrology of the underlying bedrock. Cores from 64 drill sites spread over a approximately 140 km2 study area produced samples of granitoids (31), orthogneisses (20), basalts/diabases (4), amphibolites (3), felsic mylonites (2), and dolomitic rock (2). Granitoid composition ranges from granite to tonalite and quartz diorite, but it is dominated by two-feldspar granites. Hydrothermal alteration is common in nearly all cores as evidenced by the secondary growth of chlorite and epidote. Granitoids resemble rocks of the Dedham and Fall River plutons (Wones and Goldsmith, 1991). Gneisses generally contain the mineral assemblage K-feldspar+plagioclase+quartz+/-biotite+/- chlorite+/-muscovite+/-sphene+/-epidote+oxides. Amphibolites contain the assemblage hornblende+plagioclase+quartz+biotite+epidote+/-chlorite+/-sphen+/-K-feldspar+/-sericite+ oxides. Peak metamorphic grade based on mineral assemblages is estimated at lower amphibolite facies. X-ray powder diffraction of unmetamorphosed dolomitic cores shows presence of layered silicates (clays), plagioclase, and possible magnesite. Contours of the bedrock surface show locally irregular topography suggesting erosion by glacial scour. Lithologic distribution mapping suggests a possible continuation of the New Bedford gneissic terrane that outcrops 25 km to the west. Dolomitic rocks may represent a lithified fault gauge material at the eastern edge of the gneissic zone. Basalts/diabases are interpreted to be post-metamorphic dikes associated with Mesozoic rifting.

These data were collected by the National Ocean Service (NOS, formerly the U.S. Coast and Geodetic Survey) for the purpose of charting the coastal waters and navigable waterways of the United States. Data collected prior to 1965 were digitized from the final survey plots. All other data were digitized in the field during the surveys. These data were supplied by the National Geophysical Data Center (NGDC). This data set contains fields that are only a subset of those fields available in the NOS Hydrographic Database, but included in this data set are the NOS cartographic codes for bottom characteristics. Although included here, these codes are no longer customarily supplied by NGDC with the NOS Hydrographic Database. As such, this data layer provides important information that is no longer readily available.

This is an original data file created by the Marine Geology and Geophysics group of NODC from 1970-1975, abstracted from published and unpublished material contributed to NODC in 1975, after which no updates were added.

The data in this set are part of the "Ocean Pulse" benthic studies that were conducted on the U.S. northeast shelf by the National Marine Fisheries Service. This data set represents only those data collected as part of this program during 1981-1982 and off New England. Those stations occupied in the New York Bight are not included. Although chemical analyses (organic carbon and total Kjeldahl nitrogen) were also conducted, only textural descriptions are included here.

The sediment data contained in this set were produced as part of the site description and monitoring phases of an aquaculture demonstration project. The site is located off the coast of New Hampshire in the Gulf of Maine.