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Record W3208731111 · doi:10.5281/zenodo.3833935

CEDS_GBD-MAPS: Data Snapshot (2014 - 2015)

2020· dataset· en· W3208731111 on OpenAlexaff
Erin E. McDuffie, Steven J. Smith, Patrick O’Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloïse A. Marais, Bo Zheng, Monica Crippa, Michael Bräuer, Randall V. Martin

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typedataset
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSnapshot (computer storage)Computer scienceGeographyDatabase

Abstract

fetched live from OpenAlex

2014-2015 Snapshot of the full CEDS_GBD-MAPS dataset (available at: https://doi.org/10.5281/zenodo.3754964) CEDS_GBD-MAPS Snapshot: Annual anthropogenic emissions of 7 key atmospheric pollutants from Dec 2014 - Feb 2015, produced using the Community Emissions Data System, updated for the Global Burden of Disease - Major Air Pollution Sources project (CEDS_GBD-MAPS). Emissions are provided for NO<sub>x</sub>, SO<sub>2</sub>, CO, NH<sub>3</sub>, NMVOCs, Black Carbon (BC), and Organic Carbon (OC) from 11 anthropogenic sectors and four fuel categories as both annual country totals and global gridded emission fluxes (0.5 x 0.5 degree resolution).<br> Note: The CEDS_GBD-MAPS inventory does not include emissions from open fires or aircraft.<br> <strong>Sectors: </strong><br> 1. Agriculture (non-combustion sources only, excludes open fires)<br> 2. Energy (transformation and extraction)<br> 3. Industry (combustion and non-combustion processes)<br> 4. On-Road Transportation<br> 5. Off-Road/Non-Road Transportation (rail, domestic navigation, other)<br> 6. Residential Combustion<br> 7. Commercial Combustion<br> 8. Other Combustion<br> 9. Solvents<br> 10. Waste (disposal and handling)<br> 11. International Shipping<br> <strong>Fuel Categories:</strong><br> 1. Total Coal Combustion (hard coal + brown coal + coal coke)<br> 2. Solid Biofuel Combustion<br> 3. Liquid Fuel (light oil + heavy oil + diesel oil) plus Natural Gas Combustion<br> 4. CEDS Process Source Categories (see McDuffie, et al., (ESSD) 2020) for further details.<br> Note: Total anthropogenic emissions = the sum of fuel categories 1-4 <strong>Zip File Details:</strong><br> Consistent with the full CEDS_GBD-MAPS inventory, emissions are available here in three different formats: 1. <em>CEDS_GBD-MAPS_Snapshot_annual_country_total_emissions_by_sector_fuel_2014-2015.zip</em> Zip file contains 7 .csv files that each contain total annual anthropogenic emissions of each compound from each country for 2014 and 2015, as a function of 11 anthropogenic sectors and 4 fuel categories. Emissions are in units of kt yr<sup>-1</sup> and include NO<sub>x</sub> (as NO<sub>2</sub>), CO, SO<sub>2</sub>, NH<sub>3</sub>, total NMVOCs, BC, and OC NOTE: Emissions include the entire Jan 2014 - Dec 2015 time period 2. <em>CEDS_GBD-MAPS_Snapshot_gridded_emissions_by_sector_fuel_DJF_2014-2015.zip</em> Zip file contains 145 netCDF files of anthropogenic global gridded emission fluxes, reported as a function of 11 anthropogenic sectors and 5 fuel categories (1 file per compound per fuel category, plus 1 file for the sum of all fuel categories) Monthly data are provided for Dec 2014 - Feb 2015 and have been formatted for use in the GEOS-Chem model (http://acmg.seas.harvard.edu/geos/). Emission fluxes are in units of kg m<sup>-2</sup> s<sup>-1</sup> and include NO<sub>x</sub> (as NO), CO, SO<sub>2</sub>, NH<sub>3</sub>, 25 speciated VOCs, BC, and OC Example: ALD2-em-liquid-fuel-plus-natural-gas_CEDS_DJF_2014-2015.nc provides emission fluxes (Dec 2014, Jan 2015, Feb 2015) for the subVOC ALD2 that result from the combustion of liquid fuel and natural gas in each of the 11 source sectors. 3. <em>CEDS_GBD-MAPS_Snapshot_gridded_total_anthro_emissions_by_sector_input4CMIP_DJF_2014-2015.zip</em> Zip file contains 29 netCDF files (1 per compound) of anthropogenic global gridded emission monthly fluxes for Dec 2014 - Feb 2015, as a function of 11 anthropogenic sectors only (no disaggregation of fuel categories) netCDF files follow the CEDS CMIP6 gridded emissions format. More information available at: <br> http://www.globalchange.umd.edu/ceds/ceds-cmip6-data/ Emission fluxes are in units of kg m<sup>-2</sup> s<sup>-1</sup> and include NO<sub>x</sub> (as NO<sub>2</sub>), CO, SO<sub>2</sub>, NH<sub>3</sub>, 25 speciated VOCs, BC, and OC *Additional data details are provided in the README.txt file* *Version 2020_sv1.0 of this dataset was produced to accompany the following manuscript:<br> McDuffie, E. E., S. J. Smith, P. O'Rourke, K. Tibrewal, C. Venkataraman, E. A. Marais, B. Zheng, M. Crippa, M. Brauer, R. V. Martin, <strong>A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel- specific sources (1970- 2017): An application of the Community Emissions Data System (CEDS)</strong>, <em>Earth System Science Data, Submitted</em>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0050.001
Open science0.0100.007
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0640.134

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.247
GPT teacher head0.379
Teacher spread0.132 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2020
Admission routes1
Has abstractyes

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