This data represents Travel Management Areas (TMA) used for travel planning efforts for the BLM Arizona State Office. Data contains information about status of route inventory, route evaluation, TMP and signage status. Dataset is in a File Geodatabase Feature Class format. The boundaries may be updated by BLM Staff as boundaries are refined.This feature class was created by combining the most recent and updated geometry for TMAs (edited by Sprint Contractor Ricardo Franco) and the best attributes available in the AZ Corporate Layers (cjallen - 4/13/17). Additional boundary edits and the creation of a new TMA (Prescott Metro) were completed with close guidance from Bill Gibson. TMA boundaries for Bumble Bee, Table Mesa, Lower Black Canyon Trail, Upper Agua Fria River Basin, and Prescott Metro have been updated in this feature class. Additional boundary updates include changing some TMA boundaries to align with transportation routes, PLSS, BLM district/field office boundaries, etc. This data was updated for use in 2 maps requested by Bill Gibson (April 2017) located here:\blm\dfs\loc\EGIS\AZ\State_Office\projects\932_Renewable_Minerals\TravelManagement\TMA_TMP\State_Park_Grants\StatePark_GrantFunds_TMP_2017_PDO.mxd\blm\dfs\loc\EGIS\AZ\State_Office\projects\932_Renewable_Minerals\TravelManagement\TMA_TMP\State_Park_Grants\StatePark_GrantFunds_TMP_2017_UP.mxdThe geodatabase containing the Sprint Contractor geometry updates is located here:\blm\dfs\loc\EGIS\AZ\State_Office\QA_QC\Tracking\TMAP\TMA_Vertical_Integration\TMA_Vertical_Integration.gdbAdditional edits wer made to Imperial Hills and Lower Colorado in June, 2017, and changes with intermittent frequency.

A Bureau of Land Management (BLM) Administrative Unit is a geographic area in which an organizational unit of the BLM has distinct jurisdictional responsibility for land and resource management activities occurring on the public lands, the maintained rights of the United States (i.e. mineral estate) and actions relating to the Trust responsibilities of the U.S. Government as stipulated in Law or Treaty.

These polygons should represent lower level administrative units (Field Office boundaries). Higher level administrative units may be derived from the attribution in this feature class. This feature class should be used to document the physical boundary of an administrative unit. In some cases, the administrative unit may manage areas outside of the boundary for other programs’ purposes. Please refer to the BLM Administrative Unit (Boundaries) Data Standard Report for the full list and detailed descriptions of the business rules that govern the data standard, and this implementation.

Each BLM state is responsible for the changes to the boundaries, the state data steward or the designated person for the state will be responsible for the creation and update of the boundaries.

Confidence in the classification of biological zones in the EUSeaMap (2019) broad-scale predictive habitat map. Biological Zone is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of a Biological Zone at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence).

The purpose of this study was to explore how White and Black working-class men construct their sense of self-worth, and how they perceive social hierarchy by interpreting differences between themselves and others. Interviews were conducted with 150 lower-middle class men. Thirty blue-collar workers from each of four groups were interviewed: White American workers, Black American workers, French White workers, and North African Immigrant workers living in France. These were supplemented with 30 interviews with lower-status white-collar workers in both France and the United States. In order to be part of the working class sample, participants had to (1) be employed in blue-collar or lower-status white-collar jobs; (2) have a high-school but not college degree; (3) supervise no more than 10 people, if any; (4) show continuous full-time participation in the labor force for at least five years; (5) describe themselves as Black or White for the United States; (6) have resided in the study area for at least five years; (7) be a native of the United States, France, Morocco, Tunisia, or Algeria; and (8) be a man between the ages of 25 and 65, in order to keep constant various socio-demographic variations such as place of birth and gender. All immigrants in America and children of North African immigrants (considered French citizens) were excluded, also to keep the socio-demographic dimensions constant. The interviews were approximately two hours long. Each interview was tape-recorded and conducted at a time and place chosen by both the participant and the principal investigator. Towns that included large numbers of working class individuals were identified. Names were sampled randomly from the phone books for these towns, and individuals were sent a letter of introduction. A short phone interview was conducted to ascertain eligibility and willingness to participate. Variables assessed included participants' definitions of worthy and less worthy persons; descriptions of associates; superiority and inferiority in relation to different types of people; descriptions of people that evoked hostility, indifference, or sympathy; and negative and positive traits of coworkers and acquaintances. One goal of this study was to determine the labels participants used to describe people whom they considered to be above or below themselves. Participants were also asked to describe their perceptions of cultural traits that are most valued in the workplace, child-rearing values, and the meanings assigned to each value. The Murray Archive holds additional analogue materials for this study (original record paper data, and audiotape data for this study). If you would like to access this material, please apply to use the data. A comparison study conducted in the late 1980's by Lamont with American and French White upper-middle class participants is also archived at the Murray Archive (Log# 00133). Audio Data Availability Note: This study contains audio data that have been digitized. There are 334 audio files available.

Confidence in the classification of energy level in the EUSeaMap (2023) broad-scale predictive habitat map.

Values are on a range from 1 (Low confidence), 2 (Moderate confidence), 3 (High confidence).

Energy level is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of an energy level at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence).

Layers are also available showing confidence in the values of the input variables used to model energy levels (kinetic energy at the seabed and wave exposure).

A report on the methods used in the 2023 version of EUSeaMap and reports on previous versions (v2019 and V2021) are linked in Online Resources.

Created by the EMODnet Seabed Habitats project consortium.

Taken from sections of the report:

Introduction This report details the survey work carried out on Voyage 4 during November and December 1998 by LANDINFO on behalf of the Australian Antarctic Division's MAGIP Field Program. The principle aim of this work was to acquire aerial photography of penguin rookeries near Australia's three Antarctic Stations and to carry out survey work associated with the Antarctic Tide Gauge Network. A number of other tasks were also carried out. This report details each task carried out and the results achieved. The following people carried out the survey work:

Richard Lemon LANDINFO Pty Ltd Roger Handsworth Antarctic Division Instrument Engineer

This report covers the fieldwork associated with the MAGIP Field Program. Some non survey aspects of the tide gauge work will be the subject of a separate report to be submitted by Roger Handsworth.

Time Frame The survey party departed Hobart at 5:15pm on Thursday 29th October 1998 aboard the Aurora Australis on Voyage 4 of the 1998-99 summer season. The survey party arrived at Casey Station via helicopter from the Aurora Australis just before 12pm (UTC+8) on Saturday 7th November. After spending a period of about 25 hours at Casey the survey team returned to the Aurora Australis at about 1pm on Sunday 8th November 1998.

The Aurora Australis arrived off Davis Station on the morning of Wednesday 18th November 1998. The survey party had access to the station from about 2.30pm (UTC+7) the same day. The survey team had four full days in which to carry out its tasks at Davis. The Aurora Australis left Davis on the morning of Sunday 22nd November on route to Sansom Island. The survey party returned to the Aurora Australis by helicopter at about 7:30pm on Sunday 22nd November.

The survey party was flown to Sansom Island at about 9:30am on Monday 23rd November and returned to the Aurora Australis at about 3:30pm the same day.

Due to problems with Aurora Australis' propeller pitch control, the survey party was flown to Mawson Station by long range helicopter on Wednesday 2nd December and arrived at about 8:30am (UTC+6). The survey team had eight full days at Mawson station before departing for the Ship on Thursday 10th December at about 11am.

The Aurora Australis returned to Fremantle at about 11am Western Standard Time (UTC+8) on Monday 28th December 1998.

Project Outline The Antarctic Division's Brief, which outlines the details of the program, is included in Appendix A. The program of work was divided into four specific sites, Casey, Davis, Mawson and Sansom Island. The work at each of the Antarctic stations was divided into two main areas of interest. These being the aerial photography of the penguin rookeries using the Linhof camera and survey work associated with the tide gauges and tide gauge bench marks. The work at Sansom Island involved the coordination of photo control points.

A list of the individual tasks and a summary of the achievements can be found at Appendix B.

Confidence in the PAR at seabed values, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps.

Values are on a range from 1 (Low confidence) to 3 (High confidence). Confidence in Photosynthetically Active Radiation (PAR) at the seabed are driven by the confidence in the underlying data used to determine the descriptor (PAR at the surface, light attenuation coefficient KD(PAR) and depth to the seabed.) and the confidence in the threshold/margin between classes (areas closer to a boundary between two classes will have lower confidence).

Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975