cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17717221
title: Climate TRACE Emissions Inventory

description: Climate TRACE is a non-profit coalition of organizations building a timely, open, and accessible inventory of exactly where greenhouse gas emissions are coming from. Climate TRACE estimates greenhouse gas (GHG) and air pollutant emissions for over 2.7 million sources (from over 744 million assets), and every single country globally.

Each download package includes CSVs of:



Annual country-level emissions by sub-sector and by gas beginning in 2015

Monthly source-level emissions by sub-sector and gas beginning in 2021 and confidence

Emissions source ownership where and when available.


All Climate TRACE data are free and publicly available under a CC-BY 4.0 license to enable action and accountability at the massive scale necessary for global progress. Beginning in March 2025, Climate TRACE is releasing updated data with a 60-day lag during the final week of each month. All previous versions of the Climate TRACE asset- and country-level database will be uploaded to this page.

With the addition of September 2025 data, the Climate TRACE database is now updated to version 5.1.0.

Version 5.0.0 (released November 12, 2025) will be available here. This release launched at COP30 and now includes data on potential options for reducing emissions at every asset in the Climate TRACE database.

A detailed description of data updates is available in our changelog here.

We recommend getting familiar with how Climate TRACE data are created and structured by reviewing our FAQs, resources, and guidance:



The Climate TRACE FAQs page is an especially useful resource to quickly learn how we develop the emissions inventory, what data are contained in the inventory, details on units of measurement and coverage, and much more.

The Sectors page summarizes methodological details on dozens of sub-sectors. The data are licensed under the Creative Commons Attribution 4.0 International License; more details can be found on our terms of use page.

Detailed guidance on the data schema, licensing, and citations can be found in the data guide, as well as in the “detailed-data-schema” in the download packages.


If you have any questions, please reach out to us via our contact page.
DOI: 10.5281/zenodo.15690432
title: Conjunto de datos bibliográficos sobre la literatura en torno al uso de IA-Chatbots en el ámbito educativo

description: Conjunto de datos vinculado a un trabajo de investigación en el que se lleva a cabo una revisión sistemática de la literatura sobre el uso de IA-Chatbots en el ámbito educativo; analizando, de manera particular, sus posibles aplicaciones, beneficios, retos y futuras áreas de desarrollo.
DOI: 10.5064/f6g2petf/5yeouy
title: Moore-et-al_ID_0921_BOM-2021-04-Fall-Newsletter.pdf
DOI: 10.5064/f6g2petf/cc3kjv
title: Moore-et-al_ID21_Vaccinate Idaho Page _ Idaho Department of Health and Welfare.pdf
DOI: 10.5064/f6g2petf/81otxa
title: Moore-et-al_ID_0521_Frequently Asked Questions _ Novel Coronavirus (COVID-19).pdf
DOI: 10.5064/f6g2petf/iobx1c
title: Moore-et-al_ID_0521_Lori Wolff to lead Division of Human Resources _ Office of the Governor.pdf
DOI: 10.5064/f6g2petf/8kjtnr
title: Moore-et-al_ID21_H0063.pdf
DOI: 10.5064/f6g2petf/ldysoe
title: Moore-et-al_ID_1220_Idaho COVID-19 Vaccine Advisory Committee _ Novel Coronavirus (COVID-19).pdf
DOI: 10.5064/f6g2petf/iyv1n4
title: Moore-et-al_ID21_Interim-Guidance-for-Isolation-for-COVID-19_19july2020.pdf
DOI: 10.5064/f6g2petf/2yeg8g
title: Moore-et-al_ID_0521_202101SH162_Comments.pdf
DOI: 10.5064/f6g2petf/2iu3gw
title: Moore-et-al_ID_0421_ARPA.pdf
DOI: 10.5064/f6g2petf/lz9off
title: Moore-et-al_ID_0321_Addressing-Questions-Regarding-COVID-19-Vaccine-and-Abortion-Derived-Cell-Lines-031121.pdf
DOI: 10.5064/f6g2petf/oiivu5
title: Moore-et-al_ID21_COVID19-Vaccine-Employment-Verification-Template-1.27.2021-1.pdf
DOI: 10.5064/f6g2petf/6bp7fl
title: Moore-et-al_ID_1220_Interim-Information-on-COVID-19-mRNA-Vaccines-Effectiveness-and-Safety-.pdf
DOI: 10.5064/f6g2petf/q9kkgw
title: Moore-et-al_ID_0521_202101SH162_Comments.pdf
DOI: 10.5064/f6g2petf/e1fd5c
title: Moore-et-al_ID_0421_ARPA.pdf
DOI: 10.5064/f6g2petf/0jzulu
title: Moore-et-al_ID_0821_Employer_SampleEmployeeEmail.pdf
DOI: 10.5064/f6g2petf/vsxyb8
title: Moore-et-al_ID_0221_Idaho advances to Stage 3 as COVID-19 case counts, hospitalizations decline _ Office of the Governor.pdf
DOI: 10.5064/f6g2petf/a38hge
title: Moore-et-al_ID_0821_COVID-19 Communications Toolkit _ Novel Coronavirus (COVID-19).pdf
DOI: 10.5064/f6g2petf/0swe5v
title: Moore-et-al_ID_0521_COVID-19-Workplace-Guidance-05.2021.pdf
DOI: 10.5064/f6g2petf/dhswgy
title: Moore-et-al_ID_0721_Gov. Little urges Biden, Canadian prime minister to open U.S.-Canada border _ Office of the Governor.pdf
DOI: 10.5064/f6g2petf/iaguam
title: Moore-et-al_ID_0521_Lori Wolff to lead Division of Human Resources _ Office of the Governor.pdf
DOI: 10.5064/f6g2petf/2iacea
title: Moore-et-al_ID_0221_COVID-19-Vaccine-Cost-022321.pdf
DOI: 10.5064/f6g2petf/te9kmb
title: Moore-et-al_ID_0921_BOM-2021-04-Fall-Newsletter.pdf
DOI: 10.5064/f6g2petf/1x8ejz
title: Moore-et-al_ID21_Vaccine-Adverse-Event-Reporting-in-Idaho.pdf
DOI: 10.5064/f6g2petf/vn8nxj
title: Moore-et-al_ID21_Idaho-Public-Health-District-Points-of-Contact-for-COVID-19-Vaccine-Questions.pdf
DOI: 10.5064/f6g2petf/ufbdnu
title: Moore-et-al_ID_0421_All four living former Idaho Governors support Gov. Little’s veto of emergency powers bills _ Office of the Gove.pdf
DOI: 10.5064/f6g2petf/fkzgsa
title: Moore-et-al_ID_1220_DOI2020AnnualReport.pdf
DOI: 10.5064/f6g2petf/xqyywt
title: Moore-et-al_ID_0921_Crisis Standards of Care _ Idaho Department of Health and Welfare.pdf
DOI: 10.5064/f6g2petf/uadrxb
title: Moore-et-al_ID_0321_Addressing-Questions-Regarding-COVID-19-Vaccine-and-Abortion-Derived-Cell-Lines-031121.pdf
DOI: 10.57783/0v36-kp16
title: Oregon HCUP
DOI: 10.15493/obsdb.0000.0056
title: Streamflow volume, Actual, Cubic meters per second for Jonkershoek, Langrivier g2m07a Weir from 2017-09-28 to 2025-10-07

description: Streamflow volume, Actual, Cubic meters per second for Jonkershoek, Langrivier g2m07a Weir from 2017-09-28T11:30:00+02:00 to 2025-10-07T00:00:00+02:00 at -33.987644,18.970358 (+N-S,-W+E)
DOI: 10.5064/f6g2petf/pxzrtx
title: Moore-et-al_ID_0521_Idaho continues to thrive during the pandemic and moves from Stage 3 to Stage 4 in Idaho Rebounds Plan _ Idaho D.pdf
DOI: 10.57783/rt0p-dy13
title: New York HCUP
DOI: 10.15493/obsdb.0000.0013
title: Streamflow volume, Average, Cubic meters per second for Jonkershoek, Biesievlei g2m03a Weir from 2011-08-24 to 2025-10-07

description: Streamflow volume, Average, Cubic meters per second for Jonkershoek, Biesievlei g2m03a Weir from 2011-08-24T15:00:00+02:00 to 2025-10-07T17:00:00+02:00 at -33.976600,18.948644 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0012
title: Streamflow volume, Actual, Cubic meters per second for Jonkershoek, Biesievlei g2m03a Weir from 2017-09-28 to 2025-10-07

description: Streamflow volume, Actual, Cubic meters per second for Jonkershoek, Biesievlei g2m03a Weir from 2017-09-28T14:00:00+02:00 to 2025-10-07T17:00:00+02:00 at -33.976600,18.948644 (+N-S,-W+E)
DOI: 10.15493/obsdb.0000.0057
title: Streamflow volume, Average, Cubic meters per second for Jonkershoek, Langrivier g2m07a Weir from 2011-08-24 to 2025-10-07

description: Streamflow volume, Average, Cubic meters per second for Jonkershoek, Langrivier g2m07a Weir from 2011-08-24T14:00:00+02:00 to 2025-10-07T00:00:00+02:00 at -33.987644,18.970358 (+N-S,-W+E)
DOI: 10.5064/f6g2petf/mlcugl
title: Moore-et-al_ID_1220_COVIDVaccine_UnderstandingCOVIDVaccine_Document.pdf
DOI: 10.5064/f6g2petf/yrhaca
title: Moore-et-al_ID_1220_Idaho COVID-19 Vaccine Advisory Committee _ Novel Coronavirus (COVID-19).pdf
DOI: 10.18112/openneuro.ds006950.v1.0.0
title: Synthetic dataset for inclusion in BIDS-examples DS DESCPTION
DOI: 10.5064/f6g2petf/w73nf1
title: Moore-et-al_ID21_Vaccinate Idaho Page _ Idaho Department of Health and Welfare.pdf
DOI: 10.5064/f6g2petf/w0om2k
title: Moore-et-al_ID_0321_BOM-2021-02-Spring-Newsletter.pdf
DOI: 10.5064/f6g2petf/7s6soh
title: Moore-et-al_ID21_H0063.pdf
DOI: 10.5064/f6g2petf/rvy75v
title: Moore-et-al_ID21_COVID19-Vaccine-Employment-Verification-Template-1.27.2021-1.pdf
DOI: 10.5064/f6g2petf/lfhgit
title: Moore-et-al_ID_0221_COVID-19-Tests-Available-to-Idaho-Schools.pdf
DOI: 10.17632/xv9ygwtfpr
title: Water and sea-ice carbon linkages in an Arctic coastal glaciated system

description: Samples for carbonate system parameters, including dissolved inorganic carbon (DIC) and total alkalinity (AT), were collected in 250 mL borosilicate bottles following established protocols (Dickson et al., 2007). To preserve the samples, 50 µL of saturated mercuric chloride was added, and they were stored in the dark at 4°C until analysis. Nutrient samples were collected in 20 mL HDPE vials, frozen at −20°C, and later analysed. Sea-ice samples were collected on 20th and 23rd of April from two distinct locations using a KOVACS ice corer (Mark II coring system, inner diameter 9 cm). Cores A and B were obtained from sea ice within the northern region influenced by the glaciers Kongsbreen and Conway, and Core C was collected from the inner part and easternmost side of the study area, located near the glacial front of Kongsvegen. Each core had dimensions between 40 and 50 cm in length and 9 cm in diameter and was segmented into four to five sections from top to bottom. Each 10 cm section was thawed at 5 °C in a dark room. All samples underwent filtration for POC, DOC and CDOM after which they were stored frozen until further analysis. CDOM absorbance was measured using a dual-beam spectrophotometer Cary 4000 UV-Vis and a 100 mm cuvete, with Milli-Q water serving as a reference. Spectral measurements were collected from 200 to 800 nm at intervals of 0.5 nm. Absorbance spectra a(λ) was converted to CDOM absorption coefficients, aCDOM(λ) (m⁻¹). The absorption spectra's characteristics between 250 and 700 nm were delineated by determining the exponential spectral slope coefficient (S). An alternative approach proposed by Helms et al. (2008) was also examined, which involved calculating slopes within two different wavelength ranges (S275-295 and S350-400) and their ratio (SR) (S275–295: S350–400). The software Ocean Data View was used to create x, y plots, and section profiles employing a DIVA gridding technique to interpolate the measurements spatially between each depth profile. A Gaussian decomposition method was employed to model the CDOM absorption spectra and determine specific absorptive components. This method assumes that deviations, such as shoulders and peaks, from a typical exponential pattern in the absorption spectra are due to the significant presence of specific compounds or structures (Massicotte & Markager, 2016). The decomposition was performed over the wavelength range of 270–700 nm to capture all spectral characteristics using the Asfit software (Omanović et al., 2019). The statistical analysis of the decomposed Gaussian components was conducted in Python. To examine the relationship between parameters and the properties of CDOM, we employed Pearson's method to calculate the Pearson coefficient. Kruskal-Wallis in the software test was applied to assess differences between the stations.
DOI: 10.5064/f6g2petf/loxhox
title: Moore-et-al_ID_0521_Frequently Asked Questions _ Novel Coronavirus (COVID-19).pdf
DOI: 10.17632/9tysch33bd
title: CO2 and H2O SIMS measurements of clinopyroxene-hosted silicate melt inclusions from Conical Seamount, Papua New Guinea.

description: Conical Seamount, in Papua New Guinea, is a shoshonitic seamount that hosts epithermal-style mineralization (Petersen et al., 2002). A shallow crustal magma chamber appears to be the main difference between Conical Seamount and the other, barren seamounts nearby. It is characterized by dynamic convection, extensive fractional crystallization and frequent magmatic replenishment (Gautreau et al., 2024). This magma chamber appears to be critical for the transfer of metals and volatiles into the exsolving fluid phase and is thus of key importance for epithermal ore formation (Gautreau et al., 2024).

In this study, we aim at presenting the first robust constraints on volatile contents and saturation as well as the timing of magmatic degassing underneath Conical Seamount. Thus, we quantified CO2 and H2O concentrations in silicate melt inclusions contained in clinopyroxene crystals to determine the different magma stagnation levels below Conical Seamount. We used the CAMECA 1280-HR Secondary Ion Mass Spectrometer (SIMS) at the GFZ facility in Potsdam. These data will be used to model pressure and temperature conditions of the silicate melt (e.g., Iacovino et al., 2021).

At the end of the analytical session, all SIMS pits were imaged with an optical microscope in reflected light mode to check the exact location of each analysis and whether other minerals, inclusions or cracks were hit. If SIMS pits touched cracks or inclusions, the corresponding analyses were considered as outliers. If the central part of the SIMS craters (5 µm in diameter) touched the pyroxene crystal hosting the silicate melt inclusions, then the calculated CO2 and H2O concentrations were considered as minimum values. Visible crystals in the melt inclusions are mentioned for each measurement point in the notes. Finally, we exclude results for volatile contents outside of the range of the basaltic glass reference materials (i.e., &gt; 5,900 µg/g for CO2 and &gt; 8.8 wt.% for H2O; Scicchitano et al., 2024).

Gautreau, L., Hansteen, T.H., Portnyagin, M., Beier, C., Frische, M., Brandl, P.A., 2024. Understanding the links between volcanic systems and epithermal ore formation : A case study from Conical Seamount , Papua New Guinea. LITHOS 482–483, 1–18. https://doi.org/10.1016/j.lithos.2024.107695
Iacovino, K., Matthews, S., Wieser, P.E., Moore, G.M., Bégué, F., 2021. VESIcal Part I: An Open-Source Thermodynamic Model Engine for Mixed Volatile (H2O-CO2) Solubility in Silicate Melts. Earth Sp. Sci. 8, 1–55. https://doi.org/10.1029/2020EA001584
Petersen, S., Herzig, P.M., Hannington, M.D., Jonasson, I.R., 2002. Submarine Gold Mineralization Near Lihir Island , New Ireland Fore-Arc , Papua New Guinea 97, 1795–1813.
Scicchitano, M.R., Shishkina, T.A., Wilke, F.D.H., Wilke, M., Botcharnikov, R.E., Almeev, R.R., 2024. Basaltic glasses for quantification of CO2 and H2O content by Secondary Ion Mass Spectrometry (SIMS). GFZ Data Services. https://doi.org/10.5880/GFZ.3.1.2024.009
DOI: 10.17632/xv9ygwtfpr.1
title: Water and sea-ice carbon linkages in an Arctic coastal glaciated system

description: Samples for carbonate system parameters, including dissolved inorganic carbon (DIC) and total alkalinity (AT), were collected in 250 mL borosilicate bottles following established protocols (Dickson et al., 2007). To preserve the samples, 50 µL of saturated mercuric chloride was added, and they were stored in the dark at 4°C until analysis. Nutrient samples were collected in 20 mL HDPE vials, frozen at −20°C, and later analysed. Sea-ice samples were collected on 20th and 23rd of April from two distinct locations using a KOVACS ice corer (Mark II coring system, inner diameter 9 cm). Cores A and B were obtained from sea ice within the northern region influenced by the glaciers Kongsbreen and Conway, and Core C was collected from the inner part and easternmost side of the study area, located near the glacial front of Kongsvegen. Each core had dimensions between 40 and 50 cm in length and 9 cm in diameter and was segmented into four to five sections from top to bottom. Each 10 cm section was thawed at 5 °C in a dark room. All samples underwent filtration for POC, DOC and CDOM after which they were stored frozen until further analysis. CDOM absorbance was measured using a dual-beam spectrophotometer Cary 4000 UV-Vis and a 100 mm cuvete, with Milli-Q water serving as a reference. Spectral measurements were collected from 200 to 800 nm at intervals of 0.5 nm. Absorbance spectra a(λ) was converted to CDOM absorption coefficients, aCDOM(λ) (m⁻¹). The absorption spectra's characteristics between 250 and 700 nm were delineated by determining the exponential spectral slope coefficient (S). An alternative approach proposed by Helms et al. (2008) was also examined, which involved calculating slopes within two different wavelength ranges (S275-295 and S350-400) and their ratio (SR) (S275–295: S350–400). The software Ocean Data View was used to create x, y plots, and section profiles employing a DIVA gridding technique to interpolate the measurements spatially between each depth profile. A Gaussian decomposition method was employed to model the CDOM absorption spectra and determine specific absorptive components. This method assumes that deviations, such as shoulders and peaks, from a typical exponential pattern in the absorption spectra are due to the significant presence of specific compounds or structures (Massicotte & Markager, 2016). The decomposition was performed over the wavelength range of 270–700 nm to capture all spectral characteristics using the Asfit software (Omanović et al., 2019). The statistical analysis of the decomposed Gaussian components was conducted in Python. To examine the relationship between parameters and the properties of CDOM, we employed Pearson's method to calculate the Pearson coefficient. Kruskal-Wallis in the software test was applied to assess differences between the stations.
DOI: 10.5064/f6g2petf/amw7ng
title: Moore-et-al_ID21_Interim-Guidance-for-Isolation-for-COVID-19_19july2020.pdf
DOI: 10.17632/9tysch33bd.1
title: CO2 and H2O SIMS measurements of clinopyroxene-hosted silicate melt inclusions from Conical Seamount, Papua New Guinea.

description: Conical Seamount, in Papua New Guinea, is a shoshonitic seamount that hosts epithermal-style mineralization (Petersen et al., 2002). A shallow crustal magma chamber appears to be the main difference between Conical Seamount and the other, barren seamounts nearby. It is characterized by dynamic convection, extensive fractional crystallization and frequent magmatic replenishment (Gautreau et al., 2024). This magma chamber appears to be critical for the transfer of metals and volatiles into the exsolving fluid phase and is thus of key importance for epithermal ore formation (Gautreau et al., 2024).

In this study, we aim at presenting the first robust constraints on volatile contents and saturation as well as the timing of magmatic degassing underneath Conical Seamount. Thus, we quantified CO2 and H2O concentrations in silicate melt inclusions contained in clinopyroxene crystals to determine the different magma stagnation levels below Conical Seamount. We used the CAMECA 1280-HR Secondary Ion Mass Spectrometer (SIMS) at the GFZ facility in Potsdam. These data will be used to model pressure and temperature conditions of the silicate melt (e.g., Iacovino et al., 2021).

At the end of the analytical session, all SIMS pits were imaged with an optical microscope in reflected light mode to check the exact location of each analysis and whether other minerals, inclusions or cracks were hit. If SIMS pits touched cracks or inclusions, the corresponding analyses were considered as outliers. If the central part of the SIMS craters (5 µm in diameter) touched the pyroxene crystal hosting the silicate melt inclusions, then the calculated CO2 and H2O concentrations were considered as minimum values. Visible crystals in the melt inclusions are mentioned for each measurement point in the notes. Finally, we exclude results for volatile contents outside of the range of the basaltic glass reference materials (i.e., &gt; 5,900 µg/g for CO2 and &gt; 8.8 wt.% for H2O; Scicchitano et al., 2024).

Gautreau, L., Hansteen, T.H., Portnyagin, M., Beier, C., Frische, M., Brandl, P.A., 2024. Understanding the links between volcanic systems and epithermal ore formation : A case study from Conical Seamount , Papua New Guinea. LITHOS 482–483, 1–18. https://doi.org/10.1016/j.lithos.2024.107695
Iacovino, K., Matthews, S., Wieser, P.E., Moore, G.M., Bégué, F., 2021. VESIcal Part I: An Open-Source Thermodynamic Model Engine for Mixed Volatile (H2O-CO2) Solubility in Silicate Melts. Earth Sp. Sci. 8, 1–55. https://doi.org/10.1029/2020EA001584
Petersen, S., Herzig, P.M., Hannington, M.D., Jonasson, I.R., 2002. Submarine Gold Mineralization Near Lihir Island , New Ireland Fore-Arc , Papua New Guinea 97, 1795–1813.
Scicchitano, M.R., Shishkina, T.A., Wilke, F.D.H., Wilke, M., Botcharnikov, R.E., Almeev, R.R., 2024. Basaltic glasses for quantification of CO2 and H2O content by Secondary Ion Mass Spectrometry (SIMS). GFZ Data Services. https://doi.org/10.5880/GFZ.3.1.2024.009
DOI: 10.17632/f5z42fssm6
title: Burden of acne vulgaris, psoriasis, atopic dermatitis, and urticaria in individuals under 20 years in China and globally, 1990-2021: A systematic analysis with 50-Year Forecast

description: The data of this study can be obtained for free on Global Burden of Disease datasets.
The access link is https://vizhub.healthdata.org/gbd-results.
DOI: 10.5064/f6g2petf/2kbqjv
title: Moore-et-al_IL_0421_23119-IDPH_Updates_Vaccination_Plans.pdf
DOI: 10.17632/f5z42fssm6.3
title: Burden of acne vulgaris, psoriasis, atopic dermatitis, and urticaria in individuals under 20 years in China and globally, 1990-2021: A systematic analysis with 50-Year Forecast

description: The data of this study can be obtained for free on Global Burden of Disease datasets.
The access link is https://vizhub.healthdata.org/gbd-results.
DOI: 10.5064/f6g2petf/mv5bvq
title: Moore-et-al_IL_0321_All In Illinois.pdf
DOI: 10.5064/f6g2petf/jnqe6g
title: Moore-et-al_IL_0721_press-release.pdf
DOI: 10.5064/f6g2petf/1enpsk
title: Moore-et-al_IL_0321_Statewide Metrics.pdf
DOI: 10.5064/f6g2petf/szowlw
title: Moore-et-al_IL_0421_Press Releases_02.pdf
DOI: 10.5064/f6g2petf/uhh15b
title: Moore-et-al_IL_0421_Long-Term Care Data.pdf
DOI: 10.5064/f6g2petf/qnbcii
title: Moore-et-al_IL_0821_VaxToSchool.pdf
DOI: 10.5064/f6g2petf/l7ojws
title: Moore-et-al_IL_0721_Fully Vaccinated People.pdf
DOI: 10.5064/f6g2petf/ph3lbk
title: Moore-et-al_IL_0421_Press Releases_03.pdf
DOI: 10.5064/f6g2petf/ydkzuj
title: Moore-et-al_IL_0921_Executive Order_03.pdf
DOI: 10.5064/f6g2petf/kmclhc
title: Moore-et-al_IL_0821_23702-IDPH_Launches_Online_Vax_Verify_System.pdf
DOI: 10.5064/f6g2petf/kcncvb
title: Moore-et-al_IL_0621_Press Releases_02.pdf
DOI: 10.5064/f6g2petf/tqd0o0
title: Moore-et-al_IL_0821_press-release.pdf
DOI: 10.5064/f6g2petf/9h298n
title: Moore-et-al_IL_0221_Press Releases.pdf
DOI: 10.5064/f6g2petf/6vhbee
title: Moore-et-al_IL_0321_2021-03_FAQs on COVID19_NsgStudentGuidelines.pdf
DOI: 10.5064/f6g2petf/cssqqu
title: Moore-et-al_IL_0121_Press Releases.pdf
DOI: 10.5064/f6g2petf/qhgmmy
title: Moore-et-al_IL_0121_Guidance Affirming Non-Discrimination in Medical Treatment.pdf
DOI: 10.5064/f6g2petf/jd3d94
title: Moore-et-al_IL_0121_Executive Order 2021-03 - Illinois.gov.pdf
DOI: 10.5064/f6g2petf/pq4jzd
title: Moore-et-al_IL_0321_Press Releases_02.pdf
DOI: 10.5064/f6g2petf/1zhytm
title: Moore-et-al_IL_1220_covid-19-vaccine-delivery-assurance-program-attachment.pdf
DOI: 10.5064/f6g2petf/nqqbey
title: Moore-et-al_IL_0821_Executive Order_02.pdf
DOI: 10.5064/f6g2petf/iekcm7
title: Moore-et-al_IL_0221_Press Releases_02.pdf
DOI: 10.5064/f6g2petf/qvkyqi
title: Moore-et-al_IL_0321_Press Releases_05.pdf
DOI: 10.5064/f6g2petf/qb370w
title: Moore-et-al_IL_0921_Executive Order_02.pdf
DOI: 10.5064/f6g2petf/byebob
title: Moore-et-al_IL_0521_Press Releases_02.pdf
DOI: 10.5064/f6g2petf/curtkr
title: Moore-et-al_IL_0321_22961-A_Bridge_to_Phase_5.pdf
DOI: 10.5064/f6g2petf/fvibpl
title: Moore-et-al_IL_1220_press-release.pdf
DOI: 10.5064/f6g2petf/mjgcfq
title: Moore-et-al_IL_0321_Press Releases.pdf
DOI: 10.5064/f6g2petf/wzvpmq
title: Moore-et-al_IL_0521_Executive Order 2021-10 - Illinois.gov.pdf
DOI: 10.5064/f6g2petf/0ze1cx
title: Moore-et-al_IL_0621_Press Releases.pdf
DOI: 10.5064/f6g2petf/2okcob
title: Moore-et-al_IL_0121_Vaccine Data.pdf
DOI: 10.5064/f6g2petf/jpugln
title: Moore-et-al_IL_0321_Vaccine-Campaign-All-In-Illinois.pdf
DOI: 10.5064/f6g2petf/gafrht
title: Moore-et-al_IL_0621_Vaccine Support for Individuals with Disabilities - COVID-19 Vaccine.pdf