In order to help contractors and private residents avoid existing utility lines (including gas, electrical, and water lines) when digging, the Chicago Department of Transportation maintains 811 Chicago, a free, 24-hour service to private contractors and homeowners in Chicago. Anyone planning to dig within Chicago must obtain a “dig ticket” from 811 Chicago. 811 Chicago notifies all utilities of the impending excavations. The utility owners then send out staff to mark the location of the underground facilities within 48 hours (excluding emergencies), not counting Saturdays, Sundays, and holidays.

This dataset shows these utility notifications. Since it is common for the same dig ticket to produce multiple notifications, the same dig ticket will appear multiple times and this dataset cannot be used without further refinement to count, map, or analyze unique excavations in Chicago.

See https://ipi.cityofchicago.org/Digger for more information on the dig ticket system.

Data Flow Dig

## Overview

Data Flow Dig is a dataset for object detection tasks - it contains Rectangle annotations for 249 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset provides information about the number of properties, residents, and average property values for Digging Road cross streets in Montgomery Village, MD.

China Industrial Production: Digging & Excavating, Combination Excavator & Hauler data was reported at 57,929.000 Unit in Mar 2025. This records an increase from the previous number of 48,190.000 Unit for Dec 2024. China Industrial Production: Digging & Excavating, Combination Excavator & Hauler data is updated monthly, averaging 35,377.000 Unit from Jan 2008 (Median) to Mar 2025, with 136 observations. The data reached an all-time high of 95,385.000 Unit in Mar 2021 and a record low of 9,342.000 Unit in Nov 2008. China Industrial Production: Digging & Excavating, Combination Excavator & Hauler data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production.

Large excavation permits issued by SF Public Works that are currently active or approved plus permits whose end date passed within the last year. This is a special data set created for the Dig Once Program. Large excavation permits are 1000 square feet in size or larger.

According to INSPIRE transformed development plan “Im Graben” of the city of Biberach an der Riß based on an XPlanung dataset in version 5.0.

Sources of data for Figure 3 (in the online article; Figure 2 in print) and Tables 1, 2a, 2b, 3a and 3b of the Geoscientist article Digging into data access: The need for reform. Files:

digging_into_data_access_sources.xlsx - spreadsheet listing all references for Figure 3 (in the online article; Figure 2 in print) and Tables 1, 2a, 2b, 3a and 3b. The spreadsheet includes references to page numbers on which quoted figures are given

Source files for Figure 3 (in the online article; Figure 2 in print):

digging_into_data_access_figure3online_figure2print_source_documentA.pdf - British Geological Survey Annual Report 2019–2020. Source of data for the column BGS in Figure 3 digging_into_data_access_figure3online_figure2print_source_documentB.pdf - OGA Annual Report and Accounts 2020–21. Source of data for the column OGA in Figure 3 digging_into_data_access_figure3online_figure2print_source_documentC.pdf - UK Onshore Geophysical Library Trustees' Report and Financial Statements 2020 for the Year Ended 31 December 2020. Source of data for the column UKOGL in Figure 3 digging_into_data_access_figure3online_figure2print_source_documentD.pdf - Environment Agency Annual Report and Accounts for the Financial Year 2020 to 2021. Source of data for the column EA in Figure 3

Source files for Tables 1, 2a, 2b, 3a and 3b:

digging_into_data_access_tables_source_documentX.pdf - X corresponds to the number in the column Source in Tables 1, 2a, 2b, 3a and 3b. See also the tab 'tables_sources' in the spreadsheet digging_into_data_access_sources.xlsx

China Industrial Production: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data was reported at 33,172.000 Unit in Mar 2025. This records an increase from the previous number of 28,754.000 Unit for Dec 2024. China Industrial Production: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data is updated monthly, averaging 14,314.000 Unit from Jan 2007 (Median) to Mar 2025, with 197 observations. The data reached an all-time high of 58,429.000 Unit in Mar 2021 and a record low of 1,272.000 Unit in Feb 2007. China Industrial Production: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production.

The development plan (BPL) contains the legally binding settlements for the urban planning order. In principle, the development plan must be developed from the land use plan. The available data is the development plan “Im Graben” of the town of Biberach an der Riß from XPlanung 5.0. Description: Supply surface,GE,MI.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

CN: Industrial Production: ytd: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data was reported at 137,150.000 Unit in Jun 2018. This records an increase from the previous number of 111,922.000 Unit for May 2018. CN: Industrial Production: ytd: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data is updated monthly, averaging 70,516.000 Unit from Jan 2007 (Median) to Jun 2018, with 134 observations. The data reached an all-time high of 194,961.000 Unit in Dec 2011 and a record low of 1,543.000 Unit in Jan 2007. CN: Industrial Production: ytd: Digging & Excavating, Combination Excavator & Hauler: Digging & Excavating Machine data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Year-to-date.

China Industrial Production: YoY: Year to Date: Digging & Excavating, Combination Excavator & Hauler data was reported at 38.000 % in Jun 2018. This records an increase from the previous number of 37.400 % for May 2018. China Industrial Production: YoY: Year to Date: Digging & Excavating, Combination Excavator & Hauler data is updated monthly, averaging -1.070 % from Feb 2008 (Median) to Jun 2018, with 92 observations. The data reached an all-time high of 207.200 % in Feb 2013 and a record low of -29.178 % in Apr 2015. China Industrial Production: YoY: Year to Date: Digging & Excavating, Combination Excavator & Hauler data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Period on Period Change.

Explore the historical Whois records related to dig-data.com (Domain). Get insights into ownership history and changes over time.

77 Global import shipment records of Digging Tools with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

2944 Global import shipment records of Fork Digging with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Please provide data for road excavation cases within Tainan City, and related information can be found on the website https://diggis.tainan.gov.tw/TNRoad/

China Industrial Production: Year to Date: Digging & Excavating, Combination Excavator & Hauler: Loader data was reported at 47,199.000 Unit in Mar 2013. This records an increase from the previous number of 26,754.000 Unit for Feb 2013. China Industrial Production: Year to Date: Digging & Excavating, Combination Excavator & Hauler: Loader data is updated monthly, averaging 96,635.000 Unit from Jan 2009 (Median) to Mar 2013, with 51 observations. The data reached an all-time high of 251,677.000 Unit in Dec 2011 and a record low of 3,897.000 Unit in Jan 2009. China Industrial Production: Year to Date: Digging & Excavating, Combination Excavator & Hauler: Loader data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BA: Industrial Production: Year-to-date.

253 Global export shipment records of Digging Tools with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Jail Bookings Open Data dataset is provided by the King County Department of Adult and Juvenile Detention. The dataset contains adult jail bookings which have occurred within the last twelve months; specific dates are indicated on the web site.

The data provided is a snapshot and is current as of the date and time it was extracted from the jail management systems. Every effort has been made to ensure the accuracy of data listed at the time of extraction. Updates, corrections, and additions may have occurred since the extraction date and time.

This dataset provides information associated with the booking of an individual into a King County jail facility, and not with any court cause, case, or criminal filing pursuant to the booking event. This information does not reflect the criminal history or criminal status of any inmate currently or previously in custody.

Current information about a specific booking event can be obtained by calling the Department of Adult and Juvenile Detention at (206) 296-1234 or by visiting our Jail Inmate Lookup Service (JILS). http://ingress.kingcounty.gov/inmatelookup/

Most animal traps are constructed from self-secreted silk, so antlions are rare among trap builders because they use only materials found in the environment. We show how antlions exploit the properties of the substrate to produce very effective structures in the minimum amount of time. Our modelling demonstrates how antlions (1) exploit self-stratification in granular media differentially to expose deleterious large grains at the bottom of the construction trench where they can be ejected preferentially and (2) minimize completion time by spiral rather than central digging. Both phenomena are confirmed by our experiments. Spiral digging saves time because it enables the antlion to eject material initially from the periphery of the pit where it is less likely to topple back into the centre. As a result, antlions can produce their pits — lined almost exclusively with small slippery grains to maximize powerful avalanches and hence prey capture — much more quickly than if they simply dig at the pit’s centre. Our demonstration, for the first time, of an animal utilizing self-stratification in granular media exemplifies the sophistication of extended phenotypes even if they are only formed from material found in the animal’s environment.