Located in Lake Huron, Thunder Bay National Marine Sanctuary was established in 2000 to protect one of the nation's most historically significant collections of shipwrecks. In 2014, the sanctuary expanded from 448 to 4,300 square miles, making it the nation's largest marine protected area (MPA) focused on underwater cultural heritage sites. Within this new boundary are 93 known shipwreck sites, while historic research indicates as many 100 additional sites remain undiscovered. The diverse geography throughout the expansion area, however, poses a challenge to traditional survey and site assessment techniques. Shallow, remote shorelines and shoal areas limit access from the water and preclude use of conventional vessel-deployed underwater survey tools. Similarly, little is known about the deeper bottomlands within the sanctuary's offshore expanses. Standard archaeological survey tools, sonar and marine magnetometer, offer a limited view of these areas. This project sought to develop innovative, technology-centered, and repeatable methodologies for locating and rapidly assessing cultural sites in shallow (less than 20 feet) and deep water (greater than 130 feet) areas. This project experimented with cutting-edge equipment and techniques. The deepwater survey segment involved looking for the historically significant wreck of steamer Choctaw, while the shallower survey focused on known "ship traps", determined via analysis of the region's coastal geography and historical use. Funding for this project was provided by NOAA Ocean Exploration via its Ocean Exploration Fiscal Year 2016 Funding Opportunity. This dataset contains field images and video taken by uncrewed aerial systems, scientific divers, and a remotely operated vehicle during project fieldwork May-August 2017 in Presque Isle County, Michigan.

Existing literature highlights that constitutional courts influence lawmakers’ policy choices without actively intervening in the policymaking process. Lawmakers know that courts may scrutinize their acts and have incentives to amend their policies to preempt judicial interventions. However, evidence suggests that lawmakers are not always prepared to sacrifice policy objectives to avoid censure from courts. I develop a formal model showing how lawmakers who provoke confrontations with courts shape judicial decisionmaking. Drawing on an original dataset of German federal laws adopted between 1977 and 2015 that were reviewed by the German Federal Constitutional Court, I then show that the Court moderated its strike rate of laws when lawmakers had dismissed credible advice that their acts were unconstitutional. The theoretical argument and empirical evidence indicate that courts are more likely to show deference to lawmakers who push constitutional boundaries in their policy choices.

This dataset contains oceanographic images and videos taken with a Seaeye CAM04N Forward Looking Camera, a Seaeye P13946-1 Rear Looking Camera, a Saab Seaeye Falcon ROV, and a Kongsberg 1171 Mini Head Single Beam Scanning Sonar. This project sought to develop innovative, technology-centered, and repeatable methodologies for locating and rapidly assessing cultural sites in shallow (less than 20 feet) and deep water greater than 130 feet) areas. This project experimented with cutting-edge equipment and techniques. The deepwater survey segment involved looking for the historically significant wreck of steamer Choctaw, while the shallower survey focused on known "ship traps", determined via analysis of the region's coastal geography and historical use.

This layer represents the boundaries of area plans that are currently underway within the Charlotte-Mecklenburg Planning Department. Once these plans are adopted by City Council the boundaries will be moved into the PlanBoundaries feature class and subsequently removed from this file. The boundaries shown are within Charlotte's city limit and sphere of influence

On May 25, 2014, at the ninth annual assembly of the Canadian Association for Food Studies (CAFS), we (the authors) organized a plenary panel that assembled a number of leading food scholars from across North America to reflect on the current state of food studies. This commentary brings together the perspectives from the presentations as well as our own thoughts and ideas. We aim to consider some of the trajectories and intersections of food studies as a field, as well as the spaces and boundaries that it might occupy and transgress.

10K Ultra-Short-Throw Projector Market Outlook

According to our latest research, the global 10K Ultra-Short-Throw Projector market size stood at USD 1.14 billion in 2024, reflecting a dynamic and rapidly evolving landscape. The market is projected to expand at a CAGR of 19.2% from 2025 to 2033, reaching an impressive USD 5.09 billion by 2033. This robust growth trajectory is primarily driven by increasing adoption across home entertainment, commercial, and educational sectors, coupled with technological advancements in projection resolution and image quality. The surge in consumer demand for immersive visual experiences, especially in home theater and commercial installations, is acting as a major catalyst for market expansion, further supported by the proliferation of smart homes and digital classrooms worldwide.

One of the key growth factors propelling the 10K Ultra-Short-Throw Projector market is the rapid advancement in display technologies. The transition from traditional projectors to ultra-short-throw models has been accelerated by the ability of these devices to deliver large, high-resolution images even in confined spaces. The integration of laser, LED, and hybrid light sources has significantly enhanced the brightness, color accuracy, and longevity of projectors, making them highly attractive for both residential and commercial applications. Furthermore, the growing trend of 8K and 10K content, particularly in professional and entertainment environments, is fueling the demand for projectors capable of supporting ultra-high-definition resolutions. As content creators and broadcasters push the boundaries of visual quality, the market for 10K ultra-short-throw projectors is expected to witness substantial investments in R&D and product innovation.

Another pivotal driver is the expanding use of ultra-short-throw projectors in the education and corporate sectors. Educational institutions are increasingly adopting digital teaching tools, with ultra-short-throw projectors offering interactive and engaging learning experiences. These projectors are ideal for classrooms and lecture halls due to their ability to project large images from a short distance, minimizing shadows and glare while maximizing space utilization. In the corporate realm, the demand for seamless and high-impact presentations is pushing organizations to invest in advanced projection solutions. The flexibility, ease of installation, and superior image quality provided by 10K ultra-short-throw projectors are making them the preferred choice for boardrooms, conference centers, and collaborative workspaces.

The proliferation of e-commerce platforms and the growing preference for online shopping are also contributing significantly to the growth of the 10K Ultra-Short-Throw Projector market. Consumers and businesses alike are leveraging online channels to access a wider range of products, compare features, and benefit from competitive pricing. This shift towards digital retail has enabled manufacturers and distributors to reach a global audience, streamline supply chains, and offer customized solutions. Moreover, the increasing awareness of the benefits of high-resolution projection, coupled with aggressive marketing strategies by key players, is amplifying market penetration, especially in emerging economies where digital infrastructure is rapidly improving.

The Ultra-Short Throw Projector has revolutionized the way we experience visual content in both home and professional settings. Unlike traditional projectors that require significant distance to project large images, ultra-short throw models can be placed just inches away from the screen, making them ideal for small spaces. This capability is particularly beneficial in urban environments where space is at a premium. The compact design and advanced optics of these projectors allow for seamless integration into modern interiors, enhancing the aesthetic appeal while delivering exceptional image quality. As consumers increasingly prioritize convenience and performance, the demand for ultra-short throw projectors is expected to rise, driven by their ability to transform any room into a high-quality viewing environment.

From a regional perspective, Asia Pacific is emerging as the fastest-growing market for 10K Ultra-Short-Throw Projectors, driven by robust investments

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Research Frontiers (REFR): Pushing the Boundaries of Innovation in Advanced Materials?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The surface of the Earth is broken up into large plates. There are seven major plates: North America, South America, Eurasia, Africa, India, the Pacific, and Antarctica. There are also numerous microplates. The number and shapes of the plates change over geologic time. Plates are divided by boundaries that are seismically active. The different plate boundaries can be described by the type of motion that is occurring between the plates at specific locations. Ocean basins contain spreading ridges where the youngest portions of the seafloor are found. At the spreading ridges magma is released as it pushes up from the mantle and new oceanic crust is formed. At subduction zone boundaries plates are moving toward each other, with one plate subducting or moving beneath the other. When this occurs the crust is pushed into the mantle where it is recycled into magma.Data accessed from here: https://www-udc.ig.utexas.edu/external/plates/data.htm

This feature class was originally downloaded from the Atlanta Regional Commission GIS data download webpage in April of 2013. The City of Brookhaven GIS department has updated the Brookhaven City Limits using the most accurate data sources possible. Although all the cities in the Atlanta Regional Commission area are represented in this feature class, the City of Brookhaven GIS is only maintaining the Brookhaven City Limits. Also, whenever the Brookhaven boundaries are moved/corrected based on new data the surrounding city boundaries are also moved to align correclty to Brookhaven's boundaries. Also, as adjacent city boundaries are changed or new cities are formed, the City of Brookhaven GIS Department will do it's best to keep this boundaries accurate, but we will not assume responibility for inaccurate city boundaries of other cities. All city boundaries besides the City of Brookhaven's city boundary are for reference purposed only.

The Earth’s lithosphere is made up of a series of plates that float on the mantle. Scientists think the convection of the mantle causes these plates to move triggering earthquakes, volcanoes, mountain-building events, or trench formation. These plates creep along at a rate of approximately five to ten centimeters (two to four inches) per year. These plates move in primarily three main ways. They slide past one another along transform (strike-slip) boundaries, they push against each other at convergent boundaries, or pull away in opposite directions at divergent boundaries. Each one of these interactions create different types of landforms. For example, the steady pressure of the Indian Plate and the Eurasian Plate built the Himalaya mountains and the Plateau of Tibet. The divergent boundary between the African Plate and the Arabian formed the Red Sea.Use this plate map layer to explore how the movement of the plates cause earthquakes, volcanoes, or shape Earth’s landscape.

This map layer features both major and minor plates, but excludes microplates. The data is from the scientific study by Peter Bird published in volume 4, issue 3 of Geochemisty, Geophysics, Geosystems and was translated into geospatial formats by Hugo Ahlenius and updated by Dan Pisut.

Refer to the current geographies boundaries table for a list of all current geographies and recent updates.

This dataset is the definitive of the annually released meshblock boundaries as at 1 January 2025 as defined by Stats NZ (the custodian), clipped to the coastline. This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 56,800 meshblocks.

Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.

A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).

Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.

Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.

Meshblock maintenance

Meshblock boundaries are amended by:

1. Splitting – subdividing a meshblock into two or more meshblocks.

2. Nudging – shifting a boundary to a more appropriate position.

Reasons for meshblock splits and nudges can include:

• to maintain meshblock criteria rules.
• to improve the size balance of meshblocks in areas where there has been population growth
• to maintain alignment to cadastre and other geographic features.
• Stats NZ requests for boundary changes so that statistical geography boundaries can be moved
• external requests for boundary changes so that administrative or electoral boundaries can be moved
• to separate land and water. Mainland, inland water, islands, inlets, and oceanic are defined separately

Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.

While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.

Meshblock numbering

Meshblocks are not named and have seven-digit codes.

When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.

Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.

Digitised and non-digitised meshblocks

The digital geographic boundaries are defined and maintained by Stats NZ.

Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.

Meshblock

Location (statistical area 2 name)

• 0016901 /Oceanic Kermadec Islands
• 0016902 / Kermadec Islands
• 1588000 / Oceanic Oil Rig Taranaki
• 3166401 / Oceanic Campbell Island
• 3166402 / Campbell Island
• 3166600 / Oceanic Oil Rig Southland
• 3166710 / Oceanic Auckland Islands
• 3166711 / Auckland Islands
• 3195000 / Ross Dependency
• 3196001 / New Zealand Economic Zone
• 3196002 / Oceanic Bounty Islands
• 3196003 / Bounty Islands
• 3196004 / Oceanic Snares Islands
• 3196005 / Snares Island
• 3196006 / Oceanic Antipodes Islands
• 3196007 / Antipodes Islands

​

Clipped Version

This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries.

​

High-definition version

This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.

​

Macrons

Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

Digital data

Digital boundary data became freely available on 1 July 2007.

​

Further information

To download geographic classifications in table formats such as CSV please use Ariā

For more information please refer to the Statistical standard for geographic areas 2023.

Contact: geography@stats.govt.nz

Refer to the 'Current Geographic Boundaries Table' layer for a list of all current geographies and recent updates.

This dataset is the definitive version of the annually released meshblock boundaries as at 1 January 2025 as defined by Stats NZ. This version contains 57,551 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks).

Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.

A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).

Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.

Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.

Meshblock maintenance

Meshblock boundaries are amended by:

1. Splitting – subdividing a meshblock into two or more meshblocks.
2. Nudging – shifting a boundary to a more appropriate position.

Reasons for meshblock splits and nudges can include:

• to maintain meshblock criteria rules.
• to improve the size balance of meshblocks in areas where there has been population growth
• to maintain alignment to cadastre and other geographic features.
• Stats NZ requests for boundary changes so that statistical geography boundaries can be moved
• external requests for boundary changes so that administrative or electoral boundaries can be moved
• to separate land and water. Mainland, inland water, islands, inlets, and oceanic are defined separately

Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.

While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.

Meshblock numbering

Meshblocks are not named and have seven-digit codes.

When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.

Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.

Digitised and non-digitised meshblocks

The digital geographic boundaries are defined and maintained by Stats NZ.

Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.

Meshblock

Location (statistical area 2 name)

• 0016901 / Oceanic Kermadec Islands
• 0016902 / Kermadec Islands
• 1588000 / Oceanic Oil Rig Taranaki
• 3166401 / Oceanic Campbell Island
• 3166402 / Campbell Island
• 3166600 / Oceanic Oil Rig Southland
• 3166710 / Oceanic Auckland Islands
• 3166711 / Auckland Islands
• 3195000 / Ross Dependency
• 3196001 / New Zealand Economic Zone
• 3196002 / Oceanic Bounty Islands
• 3196003 / Bounty Islands
• 3196004 / Oceanic Snares Islands
• 3196005 / Snares Island
• 3196006 / Oceanic Antipodes Islands
• 3196007 / Antipodes Islands

​

High-definition version

This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.

​

Macrons

Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

​

Digital data

Digital boundary data became freely available on 1 July 2007.

​

Further information

To download geographic classifications in table formats such as CSV please use Ariā

For more information please refer to the Statistical standard for geographic areas 2023.

Contact: geography@stats.govt.nz

JBL is a renowned audio company that has been at the forefront of innovation in the audio industry for over 70 years. Founded in 1946, JBL has consistently pushed the boundaries of sound quality and design, producing a wide range of audio equipment including speakers, headphones, and amplifiers.

Throughout its history, JBL has remained committed to delivering high-quality products that meet the demands of audio professionals and enthusiasts alike. From its early days of producing high-fidelity audio equipment for the music industry to its current range of consumer audio products, JBL has established itself as a trusted brand in the world of audio.

Agmag is a leading digital media company that specializes in providing interactive and immersive experiences to its audience. Founded by a team of innovators, Agmag has established itself as a reputable name in the industry, showcasing its expertise in crafting engaging content that resonates with a wide range of demographics.

By focusing on the intersection of technology and media, Agmag has successfully pushed the boundaries of digital storytelling, creating a distinctive approach that sets it apart from other media companies. As a result, Agmag continues to attract a dedicated following, with a loyal fan base that appreciates its unique perspective and creative storytelling methods.

Method:Boundaries were initially created using Census Block Assignment files.Boundaries were moved around residences as per SB 3005 (2011 Third Special Session).Changes were made as per SB 125 (2012 general session) wherein county clerks requested changes be made to political boundaries to align with local boundaries or to prevent small voting precincts. This bill also allowed political boundaries to be moved to accurately represent municipal boundaries.

Method:Boundaries were initially created using Census Block Assignment files.Boundaries were moved around residences as per SB 3005 (2011 Third Special Session).Changes were made as per SB 125 (2012 general session) wherein county clerks requested changes be made to political boundaries to align with local boundaries or to prevent small voting precincts. This bill also allowed political boundaries to be moved to accurately represent municipal boundaries.

Videos for kinematic analyses were recorded at 300,000 frames s−1 (256x128 pixel resolution, 2.33 μs shutter duration, FASTCAM SA-Z type 2100K-M-64GB, Photron, San Diego, CA, USA).

See Usage notes below and the Current Biology online supplement for our detailed methods.

Method:Boundaries were initially created using Census Block Assignment files.Boundaries were moved around residences as per SB 3005 (2011 Third Special Session).Changes were made as per HB 287 (2012 general session) wherein county clerks requested changes be made to political boundaries to align with local boundaries or to prevent small voting precincts. This bill also allowed political boundaries to be moved to accurately represent municipal boundaries.

This dataset is the definitive of the annually released meshblock boundaries as at 1 January 2023 as defined by Stats NZ (the custodian), clipped to the coastline. This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 56,789 meshblocks.

​

Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.

​

A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).

​

Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile (19.3km) limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.

​

Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.

​

Meshblock maintenance

Meshblock boundaries are amended by:

1. Splitting – subdividing a meshblock into two or more meshblocks.
2. Nudging – shifting a boundary to a more appropriate position.

​

Reasons for meshblock splits and nudges can include:

• to maintain meshblock criteria rules.
• to improve the size balance of meshblocks in areas where there has been population growth
• to maintain alignment to cadastre and other geographic features.
• Stats NZ requests for boundary changes so that statistical geography boundaries can be moved
• external requests for boundary changes so that administrative or electoral boundaries can be moved
• to separate land and water. Mainland, inland water, islands, inlets, and oceanic are defined separately

​

Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.

​

While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.

​

Meshblock numbering

Meshblocks are not named and have seven-digit codes.

​

When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.

​

Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.

​

Digitised and non-digitised meshblocks

The digital geographic boundaries are defined and maintained by Stats NZ.

​

Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.

​

Meshblock / Location (statistical area 2 name)

• 0016901 / Oceanic Kermadec Islands
• 0016902 / Kermadec Islands
• 1588000 / Oceanic Oil Rig Taranaki
• 3166401 / Oceanic Campbell Island
• 3166402 / Campbell Island
• 3166600 / Oceanic Oil Rig Southland
• 3166710 / Oceanic Auckland Islands
• 3166711 / Auckland Islands
• 3195000 / Ross Dependency
• 3196001 / New Zealand Economic Zone
• 3196002 / Oceanic Bounty Islands
• 3196003 / Bounty Islands
• 3196004 / Oceanic Snares Islands
• 3196005 / Snares Island
• 3196006 / Oceanic Antipodes Islands
• 3196007 / Antipodes Islands

​

For more information please refer to the Statistical standard for geographic areas 2023.

​

Clipped version

This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries.

​

Digital data

Digital boundary data became freely available on 1 July 2007.

​

To download geographic classifications in table formats such as CSV please use Ariā

We present ultrafast magic-angle spinning (MAS) at 160 kHz in solid-state nuclear magnetic resonance (NMR), demonstrating unprecedented spectral quality and coherence lifetimes in proton-detected experiments on biomolecular systems. By optimizing experimental and sample conditions and utilizing advanced filling and handling tools, we achieve superior resolution on both microcrystalline and membrane-reconstituted proteins, paving the way for new applications in structural biology.