The graph shows the changes in the h-index of ^ and its corresponding percentile for the sake of comparison with the entire literature. H-index is a common scientometric index, which is equal to h if the journal has published at least h papers having at least h citations.

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

No description is available. Visit https://dataone.org/datasets/doi%3A10.18739%2FA28P5V96Q for complete metadata about this dataset.

We followed the method of Hakkinen and Rhines (2004) to calculate the Sub-Polar Gyre Index, which has been defined as the first Principal Component (PC1) of an Empirical Orthogonal Function Analysis (EOFA) of the sea level anomaly field in the North Atlantic. Please note that new versions of the Sub-Polar Gyre Index will be added. Please include the resource version number in citation, and use the most recent version.

PC is an index for magnetic activity in the (P)olar (C)ap. It is based on data from a single nearpole station, and aimed to monitor the polar cap magnetic activity generated by such solar wind parameters as the southward component of the interplanetary magnetic field (IMF), the azimuthal component of the IMF (By), and the solar wind velocity v. The station Thule, located in the village Qaanaaq in Greenland at 86.5 degrees geomagnetic invariant latitude, fulfills the requirement of being close to the magnetic pole in the northern hemisphere. The station Vostok at 83.3 degrees does the same in the southern hemisphere. The PC index is derived independently for these two stations. The PC-index is based on an idea by Troshichev et al. (1979) and developed in papers by Troshichev and Andrezem (1985), ennerstrom et al. (1991). Earlier data for 1975-1982 appear in Troshichev et al. (1991). The data from 1975 to the present are published in Report UAG-103, available from the NOAA National Centers for Environmental Information (formerly National Geophysical Data Center).

Monthly tabulated index of the Polar-Eurasia teleconnection pattern. The data spans the period 1950 to present. The index is derived from a rotated principal component analysis (RPCA) of normalized 500-hPa height anomalies from the period 1950-2000. The data source is the NCEP/NCAR Reanalysis. The resulting time series is then re-normalized to coincide with the 1981-2010 base period monthly means. The index is updated monthly. Calculating the index using the RPCA approach is a somewhat complicated process, in that it is not derived independently of the other extratropical teleconnection pattern indices.

This dataset is about: (Table 1) Mean age, body measurements, and body condition index of polar bear (Ursus maritimus) mothers and cubs. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.808112 for more information.

This data can be used to show the MT responses in electrical anisotropic media in terms of anisotropy index and polar plot.

The graph shows the changes in the h-index of ^ and its corresponding percentile for the sake of comparison with the entire literature. H-index is a common scientometric index, which is equal to h if the journal has published at least h papers having at least h citations.

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

DOI retrieved: 2012

The Polar Rock Repository (PRR) is part of the Byrd Polar and Climate Research Center (BPCRC) at the Ohio State University. The PRR is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database, contributing information to the IMLGS to help researchers discover geological samples curated in their facility and available for further research. Only underwater samples (dredges, trawls, and grabs) curated by the PRR are described in the IMLGS. The originating institution is the definitive source of information related to their sample collection. Each PRR entry in the IMLGS links back to a definitive web page for that sample at the PRR.

This dataset contains global-coverage satellite data from NOAA's polar orbiter for January 1981 to January 1982. For more information about the Global Area Coverage (GAC) data, see section 3.1 [http://webapp1.dlib.indiana.edu/virtual_disk_library/index.cgi/4284724/FID2496/podug/index.htm] of the NOAA Polar Orbiter Data User's Guide.

Here are the 3 files requires to take part to the Polar Expedition 1913 challenge (https://labyrinthinesecurity.github.io/aurora_1913/index.html):

1. historical_records.csv (15000 past observations)
2. challenge.csv, predictions to make for the month of February 1913
3. stations.json, a list of all 32 train stations along with their respective distances

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Polar index of Russian Arctic regions

NASA's POLAR (Polar Optical Lunar Analog Reconstruction) dataset contains approximately 2,600 pairs of high dynamic range stereo photos captured across 12 varied terrain scenes, including areas with sparse or dense rock distributions, craters, and rocks of different sizes. The purpose of these photos is to spur research and development in robotics, AI-based perception, and autonomous navigation. Acknowledging a scarcity of lunar photos from around the lunar poles, NASA Ames produced on Earth but in controlled conditions, photos that resemble rover operating conditions from these regions of the Moon.

This dataset, named POLAR-Sim, provides bounding boxes and semantic segmentation information for all the photos in NASA's POLAR dataset. This effort results in 23,000 labels and semantic segmentation information pertaining to rocks and shadows of rocks. Furthermore, for each scene, we produced individual meshes associated with the ground and the rocks in each scene. This allows anyon..., Photo Bounding Box Annotation

To support the training of data-driven perception algorithms, we manually labeled bounding boxes for all of the rocks and rocks' shadows in the POLAR dataset. This effort was motivated by the observation that object detection for rocks and shadows plays an important role in autonomous navigation -- large rocks can block the rover's path, while medium and small rocks can damage the wheels or the chassis. Shadows also help estimate the Sun's position, which is vital for navigation planning, solar energy harvesting, and sensor orientation.

Approximately 23,000 rocks and rocks' shadows were labeled. Each photo's configuration includes the terrain ID, stereo camera position (A: 1.5 m from terrain center at 0 deg, B: 4 m from terrain center at 0 deg, or C: 1.5 m from terrain center at 280 deg), rover light status (ON or OFF), Sun azimuth angle (none, 30, 180, 270, or 350 degrees), stereo camera index (Left or Right), and exposure time (32 to 2048 ms), where "n..., # POLAR-Sim

https://doi.org/10.5061/dryad.ksn02v7hf

A database of bounding box and semantic segmentation labels and terrain meshes for the POLAR dataset

Cover photos of rock indices

Pictures in the CoverPhotoOfIndices.zip folder show how we index the rocks in each terrain. The indices do not meet the label orders in the bounding box label txt files. The indices meet the rock ID of the mesh files in each terrain. Original pictures come from the POLAR dataset.

Semantic segmentation labels

Please check the SegmentLabels_Terrain[terrain ID].zip folders. The annotations were done with Roboflow. The semantic segmentation label files in YOLO format are categorized in the terrain ID folders. Each txt file corresponds with one HDR photo of the POLAR dataset.

• The label files are named as the following rule: [terrain ID] _ [stereo camera position] _ [rover light on/off] _ [Sun azimuth...,

Engineering site-selectivity is highly desirable especially in C–H functionalization reactions. We report a new catalyst platform that is highly selective for the amidation of benzylic C–H bonds controlled by π–π interactions in the secondary coordination sphere. Mechanistic understanding of the previously developed iridium catalysts that showed poor regioselectivity gave rise to the recognition that the π-cloud of an aromatic fragment on the substrate can act as a formal directing group through an attractive noncovalent interaction with the bidentate ligand of the catalyst. On the basis of this mechanism-driven strategy, we developed a cationic (η5-C5H5)Ru(II) catalyst with a neutral polypyridyl ligand to obtain record-setting benzylic selectivity in an intramolecular C–H lactamization in the presence of tertiary C–H bonds at the same distance. Experimental and computational techniques were integrated to identify the origin of this unprecedented benzylic selectivity, and robust linear free energy relationship between solvent polarity index and the measured site-selectivity was found to clearly corroborate that the solvophobic effect drives the selectivity. Generality of the reaction scope and applicability toward versatile γ-lactam synthesis were demonstrated.

About this dataset

Context

The dataset illustrates the median household income in Polar town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Polar town decreased by $2,178 (2.79%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 8 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Polar town median household income. You can refer the same here

The International Polar Year Historical Data and Literature collection (formerly known as the Discovery and Access of Historic Literature from the IPYs (DAHLI) project) is an online data collection consisting primarily of photographs, publications, and observational data records from, and relating to, the first two International Polar Years (IPY) 1882-83 and 1932-33 and the International Geophysical Year (IGY)1957-58. Examples of data contained in observational records include, but are not limited to: air magnetic vertical intensity, air conductivity, atmospheric-electric observations, auroral log data, potential-gradient electrographic data, dust counts, and meteorological observations. Photographs within the collection include those from the Wilkes Station in Antarctica, the USGS survey of Fletcher's Ice Island, and the DTM Geophysical Laboratory Library. Publications within this collection primarily consist of government (national and international) bulletins and reports on activities during the International Polar and International Geophysical years. Other data include audio files of interviews recorded during NCAR's Oral Histories Project, and a video on Drifting Station Alpha during the IGY, published by NSIDC. Data were contributed by several institutions: the University of Colorado Libraries, the Carnegie Institution of Washington, National Snow and Ice Data Center (NSIDC), and The National Center for Atmospheric Research (NCAR). The data collection contains approximately 800 digital objects, formats of these objects include: PDF, TIFF, JPEG, MP3, and MPEG. Most objects are freely accessible and downloadable, except where prohibited by copyright. Temporal coverage of this data collection is between the years 1882 and 1958. Geographical coverage is global, with data originating from Europe, Asia, North America, and South America and relating primarily to specific glaciers and other locations in North America (Alaska and Canada) and Antarctica. All materials without use constraints are accessible by the public through the ROCS Archives Catalog. Reference images and PDFs of publications and data are available for immediate viewing and download. Please request high resolution TIFF image files through the Archives catalog.