Small Area - National Statistical Boundaries - 2022 - UngeneralisedSmall Areas were designed as the lowest level of geography for the dissemination of statistics and generally comprise either complete or part of townlands or neighbourhoods. Small Areas were created by The National Institute of Regional and Spatial Analysis (NIRSA) on behalf of the Tailte Éireann (TE) in consultation with CSO.Small Areas generally comprise between 80 and 120 dwellings and nest within CSO Electoral Divisions.The Small Area boundaries have been amended based on Census 2022 population data.Update Notice: 4th August 2023: Attribution changed for ED and LEA attributes. An implication of this is CSO ED increase in count from 3419 to 3420 and CSO LEA boundary changes. ED and LEAs impacted are

LEA 40aece0e-a19d-4e78-af9d-e129f5557496 DÚN LAOGHAIRE redrawn

LEA d65ef6e7-75e6-49d9-bda9-d4690e8f68dc KILLINEY-SHANKILL redrawn

ED 2ae19629-1d37-13a3-e055-000000000001 renamed to DALKEY-COLIEMORE

ED 2ae19629-1e18-13a3-e055-000000000001 SHANKILL-RATHSALLAGH

SA by GUIDS Impacted:

('4c07d11e-166e-851d-e053-ca3ca8c0ca7f','4c07d11e-30f0-851d-e053-ca3ca8c0ca7f','4c07d11e-30b0-851d-e053-ca3ca8c0ca7f','4c07d11e-30a0-851d-e053-ca3ca8c0ca7f', '4c07d11e-30e2-851d-e053-ca3ca8c0ca7f','4c07d11e-30e3-851d-e053-ca3ca8c0ca7f','4c07d11e-309d-851d-e053-ca3ca8c0ca7f','4c07d11e-30bd-851d-e053-ca3ca8c0ca7f', '4c07d11e-34fc-851d-e053-ca3ca8c0ca7f','4c07d11e-353b-851d-e053-ca3ca8c0ca7f')

('4c07d11e-2b05-851d-e053-ca3ca8c0ca7f','4c07d11e-2bcd-851d-e053-ca3ca8c0ca7f','4c07d11e-3337-851d-e053-ca3ca8c0ca7f','4c07d11e-2bcb-851d-e053-ca3ca8c0ca7f', '4c07d11e-16cf-851d-e053-ca3ca8c0ca7f')

SA_PUB2022,SA_GEOGID_2022 updated for the following SA_GUID_2022 values

4c07d11e-0aa3-851d-e053-ca3ca8c0ca7f 4c07d11d-f918-851d-e053-ca3ca8c0ca7f 4c07d11e-034c-851d-e053-ca3ca8c0ca7f 4c07d11e-1042-851d-e053-ca3ca8c0ca7f 4c07d11e-25c8-851d-e053-ca3ca8c0ca7f

The dataset represents the locations of combined sewer overflow (CSOs) outfall locations in NYS. Combined sewers collect stormwater runoff, domestic sewage and industrial wastewater in the same pipe and bring it to a wastewater treatment facility. They are designed to overflow during heavy rain events, causing excess water to be discharged directly into a waterbody. The public is advised to avoid contact while recreating within waterbodies with a CSO during or following rain or snowmelt. There are about 800 CSO outfalls in New York State. This is a decrease from about 1,300 in 1993, due to CSO abatements completed by the permittees.Service is updated annually and was last updated 11/6/2024.For more information or to download layer see https://dec.ny.gov/environmental-protection/water/water-quality/combined-sewer-overflow1. The NYS DEC asks to be credited in derived products. 2. Secondary Distribution of the data is not allowed. 3. Any documentation provided is an integral part of the data set. Failure to use the documentation in conjunction with the digital data constitutes misuse of the data. 4. Although every effort has been made to ensure the accuracy of information, errors may be reflected in the data supplied. The user must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions.

Urban Areas are a new urban Geography developed by CSO, Tailte Éireann and the Department of Housing. They were generated using an automated process based on Prime2 building counts and constraints on distances between buildings.Buildings in Urban Areas are within a group of at least 100 buildings and buildings need to be within 65 meters of another building. Building groups of 100 buildings or more must be within 500 meters of each other. A further refinement step was carried out where the Urban Areas were aligned to Small Areas such that Urban areas are groupings of full Small Areas.

This layer indicates which areas contribute sanitary and storm water flow to a CSO overflow point. Areas are broken down by NPDES Outfall Number. The data source is DWW.cso_basin_plgn_pv. The layer continues to be updated as new information about the CSO system becomes available and as modifications to the system are completed. The boundaries in this layer were created and updated for purposes of developing a hydrologic and hydraulic computer model. The model was used to estimate CSO control volumes and develop CSO control alternatives. Estimation of control volume and alternative analysis did not require a parcel level of detail, so it is expected that the boundary is not always correct at the parcel level. In addition, the CSO basin boundary shapefile reflects both the sewer basin AND the drainage basin tributary to the overflow point, and these two basins do not always line up cleanly. This layer reflects the best compromise between the two boundaries.Updates as needed.

Detroit Water & Sewerage waste water discharge event location data (2008-2014).

Information on location and function of various structures involved with discharging effluent collected by the Detroit Water & Sewerage Department. Combined sewer overflow (CSO) discharge event data from 2008-2014 (2014 data are recorded through June) is available (data are to be interpreted in millions of gallons).

SO Local Electoral Areas (LEAs) are a statistical geography that aligns closely with the official LEA boundary (Statutory instruments 610-638 2018 and 27-28 2019) .In 139 cases they are equivalent to the official boundary. CSO LEAs are comprised of whole CSO EDs and CSO LEAs nest into counties.Update Notice: 4th August 2023: ED and LEA attributes changed on 15 SAs. As a result of the changes to SAs, CSO ED has one additional ED and the number of CSO EDs is 3420 and there is a change to 2 CSO LEAs. The ED and LEAs impacted are

Data obtained from computational DFT calculations on Orthorhombic CSO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files. This structure was obtained from ICSD (Collection code = CSO)

Questions asked to participants during the workshop

What is your area of work?

Where are you working?

What is more important in using monitoring data for assessing water quality impacts from CSOs?

What regulation is better: simple or complex?

What are current barriers against data sharing?

If you make your CSO data transparent [what happens?]

Would be a regulatory push (similar to EPA) effective in the EU?

Where do you see biggest gap in CSO management?

What instruments would you personally prefer to improve CSO management? [not polled]

CSO in your region/city are: [how visible?]

When existing, data on CSO are accessible [by whom?]

An assessment of CSO at EU scale is in your opinion: [how useful?]

If you want to make data public, at which level should it be provided?

How important is a common data model and format?

What is more important in using monitoring data for assessing water quality impacts from CSOs?

Where do you see biggest gap in CSO management?

What are your preferred next steps? [word cloud]

Realtime Earth Satellite object tracking and orbit data for CSO-3. NORAD Identifier: 63156.

Data obtained from computational DFT calculations on Hexagonal CSO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files. This structure was obtained from ICSD (Collection code = 33540)

CSO Electoral Divisions - National Statistical Boundaries - 2022 - UngeneralisedCSO EDs are a statistical geography that aligns closely with the official ED boundary. EDs are comprised of whole Small Areas. In a small number of cases, CSO EDs do not align with the official boundary, where EDs are amalgated to ensure statistical confidentiality or where a change was required to ensure better CSO ED/LEA alignment.Update Notice: 4th August 2023: ED and LEA attributes changed on 15 SAs. As a result of the changes to SAs, CSO ED has one additional ED and the number of CSO EDs is 3420 and there is a change to 2 CSO LEAs. The ED and LEAs impacted are

ED 2ae19629-1d37-13a3-e055-000000000001 renamed to DALKEY-COLIEMORE

ED 94b26e15-6ed2-44c2-a0b0-207c369a2da8 SHANKILL-RATHSALLAGH added

LEA 40aece0e-a19d-4e78-af9d-e129f5557496 DÚN LAOGHAIRE redrawn

LEA d65ef6e7-75e6-49d9-bda9-d4690e8f68dc KILLINEY-SHANKILL redrawn

Data obtained from computational DFT calculations on Cubic CsO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

This data shows the location of active and closed CSO outfall pipes licensed under the Maine Pollution Discharge Elimination System (MEPDES). Data was collected for this project under two separate contracts and was overseen by the Maine Department of Environmental Protection (MEDEP). Part 1 was from 1998 to 1999 under a Geo-graphics contract and Part 2 was from 2000 to 2001 under a contract with Northern Ecological Associates. Data was collected using Trimble Pro-XR GPS receivers that have corrected accuracy of +/- 1 meter. Since the original data collection, MEDEP staff have maintained the layer. During the fall and winter of 2018, a water quality environmental engineer reviewed the CSO data for completeness and location quality, prior to public re-release.

Data obtained from computational DFT calculations on Tetragonal CsO is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

By infiltrating and retaining stormwater, Blue-Green Infrastructure (BGI) can help to reduce Combined Sewer Overflows (CSOs), one of the main causes of urban water pollution. Several studies have evaluated the ability of individual BGI types to reduce CSOs; however, the effect of combining these elements, likely to occur in reality, has not yet been thoroughly evaluated. Moreover, the CSO volume reduction potential of relevant components of the urban drainage system, such as detention ponds, has not been quantified using hydrological models. This study presents a systematic way to assess the potential of BGI combinations to mitigate CSO discharge in a catchment near Zurich (Switzerland). Sixty BGI combinations, including four BGI elements (bioretention cells, permeable pavement, green roofs, and detention ponds) and four different implementation rates (25%, 50%, 75%, and 100% of the available sewer catchment area) are evaluated for four runoff routing schemes. Results reveal that BGI combinations can provide substantial CSO volume reductions; however, combinations including detention ponds can potentially increase CSO frequency, due to runoff prolongation. When runoff from upstream areas is routed to the BGI, the CSO discharge reductions from combinations of BGI elements differ from the cumulative CSO discharge reductions achieved by individual BGI types, indicating that the sum of effects from individual BGI types cannot accurately predict CSO discharge in combined BGI scenarios. Moreover, larger BGI implementation areas are not consistently more cost-effective than small implementation areas, since the additional CSO volume reduction does not outweigh the additional costs. The best-performing BGI combination depends on the desired objective, being CSO volume reduction, CSO frequency reduction or cost-effectiveness. This study emphasizes the importance of BGI combinations and detention ponds in CSO mitigation plans, highlighting their critical factors—BGI types, implementation area, and runoff routing— and offering a novel and systematic approach to develop tailored BGI strategies for urban catchments facing CSO challenges.

Description: This data provides a range of statistics on new dwelling completions on a quarterly basis. Data is available for a range of dwelling types such as apartments, scheme houses and single houses.All data has been sourced from the CSO New Dwelling Completions (NDC) quarterly publication. The principal data source for the NDC is connections data provided to the CSO on ESB Network (ESBN) connections. This is supplemented with data from Eircode, GeoDirectory, BER data, eStamping data and Census of Population data. For a detailed overview of the process see the CSO website: https://www.cso.ie/en/methods/surveybackgroundnotes/newdwellingcompletions/Geography available in RDM: State, Regional Assembly, Strategic Planning Area (SPA) and Local Authority.Source: CSO - New Dwelling Completions PX StatWeblink: https://data.cso.ie/table/NDQ06Date of last source data update: Sept 2024Update Schedule: Quarterly

This composition appears in the C-O-S region of phase space. It's relative stability is shown in the C-O-S phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

Gender pay gap data, with year on year change and extended information (such as part-time mean and median, bonus & BIK info, etc. for Central Statistics Office (CSO). Data is available for 2022-2025 for most companies.

CSO crystallizes in the trigonal R3m space group. The structure is one-dimensional and consists of three CSO ribbons oriented in the (0, 0, 1) direction. C4+ is bonded in a distorted linear geometry to one S2- and one O2- atom. The C–S bond length is 1.56 Å. The C–O bond length is 1.18 Å. S2- is bonded in a linear geometry to one C4+ and one O2- atom. The S–O bond length is 3.34 Å. O2- is bonded in a single-bond geometry to one C4+ and one S2- atom.

CSO crystallizes in the triclinic P1 space group. The structure is one-dimensional and consists of one CSO ribbon oriented in the (1, 1, 1) direction. C4+ is bonded in a distorted linear geometry to one S2- and one O2- atom. The C–S bond length is 1.56 Å. The C–O bond length is 1.18 Å. S2- is bonded in a 2-coordinate geometry to one C4+ and one O2- atom. The S–O bond length is 3.22 Å. O2- is bonded in a single-bond geometry to one C4+ and one S2- atom.