This dataset details how the ICE Office of Human Capital (OHC) activated the Government and Retirement Benefits (GRB) Platform for all ICE employees, replacing the functions previously utilized in FedHR Navigator. The new online platform offers improvements to both the human resources and customer experiences by providing an intuitive and innovative interface for employees to submit certain retirement and benefit-related requests.

This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data. These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask.

This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data. These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask.

This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data. These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask.

Snow and Ice Control is an essential duty of the Public Works Department. Essential public roadways must be passable during snow and ice events for emergency services and access to vital facilities for emergency responders, residents, and visitors. These factors are balanced with operation requirements including employee safety, availability of resources (i.e., employees, equipment, and materials), cost-effectiveness, and priority. This plan should be deployed with the following guidelines in mind: The health and safety of city employees is the top priority. Essential or high-priority roads will be maintained first as they are critical for emergency services and access to essential facilities. Not every roadway in the city will be plowed and/or deiced. Public Works employees recognize they are the last and only line of defense to ensure roadways are plowed and deiced.

This dataset includes the Mission and Organization of the ICE Office of Diversity and Civil Rights (ODCR). ODCR is responsible for directing and integrating the application of the Civil Rights Act of 1964, as amended, as well as other applicable non-discrimination complaint systems and affirmative employment programs. The mission of ODCR is to ensure that the rights of employees and applicants are protected, and that the agency promotes a proactive equal employment opportunity program to achieve an ethnically diverse workplace.

This dataset provies an overview of how OPA builds public understanding and support for the agency's mission by engaging with the news media, federal, state, and local agencies and NGOs and by working closely with internal stakeholders to inform and engage ICE employees.

This dataset includes data on outdoor Artificial Ice Rinks (AIR) and skate trails maintained by the City of Toronto Parks, Forestry and Recreation (PFR) division. The City operates more than 50 locations with outdoor rinks and skating trails, consisting of approximately 70 ice pads and skating trails. Artificial ice rinks are located in parks, on playgrounds, at Community Recreation Centres, and at Civic Centre Squares. The dataset provides details on location information, ice rink (i.e. pad) size and lighting conditions. The operational status of an outdoor artificial ice rink is updated in near real-time by staff throughout the day. The most updated information can be found by accessing the JSON file linked below: https://www.toronto.ca/data/parks/live/skate_allupdates.json Operational Statuses include: 0 = closed 1 = open 2 = service alert The json file and the rink list should be joined by first parsing the numeric digits from the [locations] column in the json, and then joining to the rink file on [locationid]. Note: The json file will only show status information for ice pads that have active service alerts on them. The data provided is sourced from the City of Toronto Parks, Forestry and Recreation Asset Management System. The dataset has been validated on-site by parks supervisors and through necessary inter-divisional staff. Note: This dataset only contains information about outdoor artificial ice rinks and skate trails maintained by Parks, Forestry and Recreation Division of the City of Toronto. Natural ice rinks are not included in this dataset and more information can be found on Toronto.ca/rec. All other outdoor ice rinks and skate trails (either public, or private) are out of scope of this dataset.

Dataset

This dataset was created by Mohammed Khaled Boyka

Released under Other (specified in description)

Contents

This guidance is intended to help public officials, managers, and employees maintain and improve air quality in ice arenas by providing evidence-based recommendations. It also provides an overview of the potential health effects of poor air quality in ice arenas as well as detailed guidance for the development of a monitoring and response framework.

This dataset includes information on arenas, community centres, and recreation centres with indoor ice pads owned by the City of Toronto. The dataset provides details on ice pad size according to Hockey Canada Line Markings diagrams approved by Hockey Canada, and location information. The operational status of an indoor ice rink is updated in near real-time by staff throughout the day. The most updated information can be found by accessing the following JSON file: https://www.toronto.ca/data/parks/live/skate_allupdates.json

This dataset contains a variety of spatial data types describing the physical oceanographic and climatic setting of the Bering, Chukchi, and Beaufort Seas. Specifically, these data describe surface and subsurface currents, approximate freshwater discharge, terrestrial input of organic matter, monthly sea ice advance and retreat extents, and changes in annual and projected averages in sea water temperatures and in the concentrations of sea ice, benthic infaunal biomass, and in plankton, euphausiid, copepod communities. Staff at Audubon Alaska and Oceana used these data to create the maps displayed in 'Chapter 2: Physical Setting', in the 'Ecological Atlas of the Bering, Chukchi, and Beaufort Seas'. This dataset contains four zipped archives of spatial data and metadata and two summary files. The zip files are: 1. ArcticMarine2017_Public_Ch2PhysicalSetting.gdb.zip, compiled by Audubon Alaska staff and used to generate the maps in chapter 2 of the Ecological Atlas, 2. ArcticMarine2017_Public_Ch2_Addition.gdb.zip, compiled by Audubon Alaska staff with additional raster data used to generate the maps in chapter 2 of the Ecological Atlas, ch2_vector-4326, containing csv formatted vector data files along with metadata extracted from the geodatabase, and ch2_raster, containing geotiff formatted raster data and metadata used in the maps in the Atlas but not included in the geodatabase. The summary files are: 1. audubon_EABCBS_ch2_physical_setting_manifest.txt, listing all file path, size, and md5sum hash value for each file in each of the zip files, 2. audubon_EABCBS_ch2_physical_setting_README.txt, providing basic, human-readable metadata about the dataset, 3. audubon_EABCBS_ch2_physical_setting_data_sources.pdf, listing the data sources used for each map in chapter 6 of the atlas, and 4. audubon_EABCBS_data_sources_appendix.csv, listing the sources used for each spatial synthesis data product created by Audubon Alaska and then used to generate the maps in chapter 6, and listed in the data sources pdf. These files contain only the data used in the Atlas and deemed appropriate for public release. Certain data deemed sensitive were not included in these publicly available data archives.

We study how workers in production teams are affected by the temporary absence and replacement of a co-worker using data on injuries in the National Hockey League. We distinguish between the absence of a substitute worker, who performs the same tasks as the focal workers, and the absence of a complementary co-workers, who performs complementary tasks to the focal workers. When either type of co-worker is absent, remaining workers produce less output per working time. In the case of a substitute absentee, they compensate for this by increasing their working time at the expense of the (less able) replacement worker. This renders the output loss per remaining substitute worker to be insignificant. For the absence of a complementary worker, the productivity loss leads to a loss of total output per worker, because remaining workers cannot take over the absent co-worker’s tasks. Please read the Readme file which explains the empirical procedures and dataset. The dataset and R-files allow to replicate the results reported in the linked publication. The readme file exactly explains the correspondence between the results tables in the paper and the calculated results.

This dataset contains the mission of the Office of Diversity and Civil Rights (OCDR) which is reponsbile for directing and integrating the application of Civil Rights Act of 1964 as well as other affirmative employment programs.

Over the last ten years the Calista Elders Council (CEC) staff has worked with elders from Bering Sea coastal communities to document Yup'ik place names. Elders have been eager to teach young people their rich history and named places of their homeland, including camp and settlement sites, rivers, sloughs, rocks, ponds, even sandbars and underwater channels. More than 3,000 names have been identified. Also included are Yup'ik views on the importance of place names, the land, values, and language.

This dataset is about how the e Office of Asset and Facility Management (OAFM) implemented a Mobility Assessment Tool and SOP for all new space requirements to ensure ICE workspace configurations meet current design criteria, leverage technology, and mitigate continued footprint growth. OAFM’s Workplace Transformation Initiative team partnered with ERO to develop and implement an Au0002File Mobility SOP, enabling teleworking ERO employees to temporarily remove A-Files from their respective field offices. OAFM also collaborated with OPLA San Francisco to complete an A-File Scanning and Digitization project to reduce or eliminate attorneys’ use of paper files for upcoming court dockets

Glaciations had a profound impact on the global sea-level and particularly on the Arctic environments. One of the key questions related to this topic is, how did the discharge of the Siberian Ob and Yenisei rivers interact with a proximal ice sheet? In order to answer this question high-resolution (1-12 kHz), shallow-penetration seismic profiles were collected on the passive continental margin of the Kara Sea Shelf to study the paleo-drainage pattern of the Ob and Yenisei rivers. Both rivers incised into the recent shelf, leaving filled and unfilled river channels and river canyons/valleys connecting to a complex paleo-drainage network.These channels have been subaerially formed during a regressive phase of the global sea-level during the Last Glacial Maximum. Beyond recent shelf depths of 120 m particle transport is manifested in submarine channel-levee complexes acting as conveyor for fluvial-derived fines. In the NE area, uniform draping sediments are observed. Major morphology determining factors are (1) sea-level fluctuations and (2) LGM ice sheet influence. Most individual channels show geometries typical for meandering rivers and appear to be an order of magnitude larger than recent channel profiles of gauge stations on land.The Yenisei paleo-channels have larger dimensions than the Ob examples and could be originated by additional water release during the melt of LGM Putoran ice masses.Asymmetrical submarine channel-levee complexes with channel depths of 60 m and more developed, in some places bordered by glacially dominated morphology, implying deflection by the LGM ice masses. A total of more than 12,000 km of acoustic profiles reveal no evidence for an ice-dammed lake of greater areal extent postulated by several workers. Furthermore, the existence of the channel-levee complexes is indicative of unhindered sediment flow to the north. Channels situated on the shelf above 120-m water depth exhibit no phases of ponding and or infill during sea-level lowstand. These findings denote the non-existence of an ice sheet on large areas of the Kara Sea shelf.

From the parent record held in the GCMD:

The data sets in the CDC archive called "Reynolds SST' and "Reconstructed Reynolds SST" were discontinued on 1 April 2003.

A new OI SST data set is available as described here, which includes a new analysis for the historical data and updates into the future. NCEP will not provide new data for the "Reynolds SST" after December 2002 and CDC will remove the "Reynolds SST" data set on 1 April 2003.

TO SEE THE NEW DATASET, PLEASE SEARCH THE GLOBAL CHANGE MASTER DIRECTORY FOR MORE INFORMATION. REFER TO THE METADATA RECORD (LINKED BELOW): REYNOLDS_SST

This metadata record is a modified child record of an original parent record registered at the Global Change Master Directory. (The Entry ID of the parent record is REYNOLDS_SST, and can be found on the GCMD website - see the provided URL). The data described here are a subset of the original dataset. This metadata record has been created for the express use of Australian Government Antarctic Division employees.

Reproduced from: http://www.emc.ncep.noaa.gov/research/cmb/sst_analysis/

Analysis Description and Recent Reanalysis

The optimum interpolation (OI) sea surface temperature (SST) analysis is produced weekly on a one-degree grid. The analysis uses in situ and satellite SSTs plus SSTs simulated by sea ice cover. Before the analysis is computed, the satellite data are adjusted for biases using the method of Reynolds (1988) and Reynolds and Marsico (1993). A description of the OI analysis can be found in Reynolds and Smith (1994). The bias correction improves the large scale accuracy of the OI.

In November 2001, the OI fields were recomputed for late 1981 onward. The new version will be referred to as OI.v2.

The most significant change for the OI.v2 is the improved simulation of SST obs from sea ice data following a technique developed at the UK Met Office. This change has reduced biases in the OI SST at higher latitudes. Also, the update and extension of COADS has provided us with improved ship data coverage through 1997, reducing the residual satellite biases in otherwise data sparse regions.

The data are available in the following formats:

Net CDF Flat binary files Text

A total of 15 OpenMetBuoys (OMBs) were deployed in the marginal ice zone northwest of Svalbard (array of 14 buoys) and on the fast ice off Greenland (one buoy) as part of RV Polarstern expedition PS131 (ATWAICE) in July - August 2022. The OMBs, also referred to as wave buoys, reported GPS position and wave spectra from 20-minute inertial motion averages at hourly intervals via the iridium satellite network. From these, significant wave height and peak wave period can be calculated. Two of the buoys ceased transmission within days of the deployment, while all other buoys recorded data for several weeks/months. The buoys were deployed on ice floes of various dimensions ranging from 15 m to as large as ~2km. The attached .zip archive contains a netcdf file incorporating all buoy data, several python scripts to read and process the data, as well as selected preliminary data quicklooks. The buoys were build and deployed as a collaboration between the Alfred-Wegener-Institute, the University of Tokyo, and the Norwegian Meteorological Institute. A corresponding Github repository to process the data provided here has been set up at https://github.com/jerabaul29/2022_07_OMB_Svalbard_AWI_UTokyo_deployment.We acknowledge the AWI procurement and logistics for their administrative support in getting these buoys built. We thank the captain, crew, chief scientist and scientific staff of RV Polarstern expedition PS131 for their great field support.

This dataset includes data on outdoor Artificial Ice Rinks (AIR) and skate trails maintained by the City of Toronto Parks, Forestry and Recreation (PFR) division. The City operates more than 50 locations with outdoor rinks and skating trails, consisting of approximately 70 ice pads and skating trails. Artificial ice rinks are located in parks, on playgrounds, at Community Recreation Centres, and at Civic Centre Squares. The dataset provides details on location information, ice rink (i.e. pad) size and lighting conditions. The operational status of an outdoor artificial ice rink is updated in near real-time by staff throughout the day. The most updated information can be found by accessing the following JSON file: https://www.toronto.ca/data/parks/live/skate_allupdates.json