cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5765553
title: ChinaHighSO2: Big Data Seamless 10 km Ground-level SO2 Dataset for China

description: ChinaHighSO<sub>2</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level SO<sub>2</sub> dataset in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.84 and a root-mean-square error (RMSE) of 10.07 µg m<sup>-3</sup> on a daily basis. <strong>This old version was closed now since a new version has been published.</strong> <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>
description: Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).
description: {"references": ["Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 269, 112775. https://doi.org/10.1016/j.rse.2021.112775", "Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136"]}
DOI: 10.5281/zenodo.7574171
title: ChinaHighSO2: Big Data Seamless 10 km Ground-level SO2 Dataset for China

description: ChinaHighSO2 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution.  

This is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level SO2 dataset in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.84, a root-mean-square error (RMSE) of 10.07 µg m-3, and a mean absolute error (MAE) of 4.68 µg m-3 on a daily basis.

If you use the ChinaHighSO2 dataset for related scientific research, please cite the corresponding reference (Wei et al., ACP, 2023):





Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023



More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html
description: Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing@umd.edu).
DOI: 10.15468/dl.gftsdu
title: Occurrence Download

description: A dataset containing 500000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 500,000 plant Specimens from PE Herbarium in China from 1950 to 1999"
 ]
}

 The dataset includes 500000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015070-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r539f7
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudemoia cryodroma Hutchinson & Donnellan, 1992",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1975"
 ]
}

 The dataset includes 420 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015071-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gesx6f
title: Occurrence Download

description: A dataset containing 102865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus rattus (Linnaeus, 1758)"
 ]
}

 The dataset includes 102865 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015072-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tweuzk
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Bombus Latreille, 1802)",
 "StateProvince is one of (cundinamarca, bogotá, d.c.)"
 ]
 }
 ]
}

 The dataset includes 968 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015073-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87s3kg
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-173.94730 -13.90559,-22.05270 -13.90559,-22.05270 46.90559,-173.94730 46.90559,-173.94730 -13.90559))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 7b8aff00-a9f8-11d8-944b-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 0363cbd4-f666-455e-8e86-0bbddcf51950, 396d5f30-dea9-11db-8ab4-b8a03c50a862, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46)",
 "TaxonKey is Liabum igniarium (Humb. & Bonpl.) Less."
 ]
}

 The dataset includes 128 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015075-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8343ds
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vaccaria hispanica (Mill.) Rauschert, Stellaria pusilla Em.Schmid)"
 ]
}

 The dataset includes 86 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015074-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4mmbd
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes corsac (Linnaeus, 1768)"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015078-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4641538
title: ChinaHighSO₂: Daily Seamless 10 km Ground-Level SO₂ Dataset for China (2013–2018)

description: ChinaHighSO2 is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.

Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level SO2 dataset for China from 2013 to 2018. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.84, a root-mean-square error (RMSE) of 10.07 µg m-3, and a mean absolute error (MAE) of 4.68 µg m-3 on a daily basis.

If you use the ChinaHighSO2 dataset in your scientific research, please cite the following reference (Wei et al., ACP, 2023):





Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023



Note that the ChinaHighSO2 dataset was improved to a 1 km resolution after 2019:

        all (including daily) data for the years after 2019 are accessible at: https://doi.org/10.5281/zenodo.10476944

More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html
description: Note that the data are recorded in local time (i.e., Beijing time: GMT+8), and measured at the standard condition (i.e., 273 K and 1013 hPa). The concentrations can be converted to the room condition (i.e., 298 K and 1013 hPa) by dividing by a factor of 1.09375 (MEE, 2018).

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.10472411
title: ChinaHighSO₂: Daily Seamless 10 km Ground-Level SO₂ Dataset for China (2013–2018)

description: ChinaHighSO2 is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.

Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level SO2 dataset for China from 2013 to 2018. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.84, a root-mean-square error (RMSE) of 10.07 µg m-3, and a mean absolute error (MAE) of 4.68 µg m-3 on a daily basis.

If you use the ChinaHighSO2 dataset in your scientific research, please cite the following reference (Wei et al., ACP, 2023):





Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023



Note that the ChinaHighSO2 dataset was improved to a 1 km resolution after 2019:

        all (including daily) data for the years after 2019 are accessible at: https://doi.org/10.5281/zenodo.10476944

More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html
description: Note that the data are recorded in local time (i.e., Beijing time: GMT+8), and measured at the standard condition (i.e., 273 K and 1013 hPa). The concentrations can be converted to the room condition (i.e., 298 K and 1013 hPa) by dividing by a factor of 1.09375 (MEE, 2018).

This dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).
DOI: 10.5281/zenodo.15431955
title: Reference Selections
DOI: 10.5281/zenodo.15431956
title: Reference Selections
DOI: 10.15468/dl.eu3c65
title: Occurrence Download

description: A dataset containing 9064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanea Mill."
 ]
}

 The dataset includes 9064 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015077-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29133356
title: Data for acupuncture on KOA.

description: This is the dateset for acupuncture on KOA.
DOI: 10.6084/m9.figshare.29133356.v1
title: Data for acupuncture on KOA.

description: This is the dateset for acupuncture on KOA.
DOI: 10.15468/dl.qtjjvs
title: Occurrence Download

description: A dataset containing 3848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "TaxonKey is Peltula Nyl."
 ]
}

 The dataset includes 3848 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015079-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29133353.v1
title: CCK-8.rar

description: CCK-8 result
DOI: 10.6084/m9.figshare.24902889
title: Data Science for Environmental Justice PBL Module: Air Pollution Data

description: This is a PBL module on Air Pollution to be used in an introductory environmental science course to motivate students to analyze related environmental justice issues.Original data was from the US EPA data on "State EJScreen Data at the Block Group Level" (EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv) which was downloaded from https://www.epa.gov/ejscreen/download-ejscreen-data on December 20, 2023. (Note: Access to the EJSCREEN tool was removed during February 2005).This data was processed and cleaned as described in the data provenance document.Lecture Slides, Activity Sheets and Instructor Notes are available here.The following files are included:<b>Data Provenance and Data Dictionary: </b>Data Provenance and Data Dictionary.pdf<b>R Script for Data Processing:</b> EJSCREEN_Data_Curation_NC_Summarized_by_County.R<b>Processed Dataset for North Carolina:</b> EJScreen_State_BGLevel_NC_13Columns.csv<b>Curated Data used in the Module - Summarized Dataset for North Carolina (summarized by county): </b>EJScreen_State_BGLevel_NC_Summarized_By_County_13Columns.csv<b>Data Dictionary: </b>Data_Dictionary_EJSCREEN_2023_BG_Columns.pdf<b>Original Dataset from EPA/EJSCREEN from which Data was Extracted for North Carolina: </b>DS4EJ_EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv<br>
DOI: 10.6084/m9.figshare.29133353.v2
title: CCK-8.rar

description: CCK-8 result
DOI: 10.6084/m9.figshare.29133353.v3
title: CCK-8.rar

description: CCK-8 result
DOI: 10.5281/zenodo.15493286
title: INTERSECTION OF A PLANE WITH A TOPOGRAPHICAL SURFACE WITH NUMERICAL MARKS
DOI: 10.5281/zenodo.15493287
title: INTERSECTION OF A PLANE WITH A TOPOGRAPHICAL SURFACE WITH NUMERICAL MARKS
DOI: 10.6084/m9.figshare.29133221
title: Data Science for Environmental Justice PBL Module: Non-Renewable Energy Data

description: This is a PBL module on Non-Renewable Energy to be used in an introductory environmental science course to motivate students to discuss related climate justice issues. (Please note that this module has not yet been tested in the classroom as of May 22, 2025.)Original data was from the U.S. Energy Information Administration under their State Energy Data System (SEDS): 1960-2022 (complete) under the Key statistics and ranking section.This data was processed and cleaned as described in the data provenance document.Lecture Slides, Activity Sheets and Instructor Notes are available here.The following files are included:<b>Data Provenance: </b>EIA-Non-Renewable-Data-Provenance.pdf<b>R Script for Data Processing:</b> DSEJ_data_cleaning_EIA.R<b>Curated Data used in the Module:</b> EIA_Non_Renewable.csv<b>Original Dataset from EIA: </b>use_tot_realgdp.csv
DOI: 10.15468/dl.p5ts3d
title: Occurrence Download

description: A dataset containing 1955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus L."
 ]
}

 The dataset includes 1955 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015080-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29133269
title: Warm-wet climate reshapes arid lake microbes: Diversity increases despite stability loss with functional compensation

description: Integrating over six decades of environmental data, a decade of field surveys, and targeted mesocosm experiments in Lake Bosten, China, we reveal that a transition to a warm-wet climate significantly influences microbial community diversity, ecological network structure, and functional potential.
DOI: 10.15468/dl.3k25ky
title: Occurrence Download

description: A dataset containing 6447085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eteoryctis deversa (Meyrick, 1922), Placidina euryanassa, Mechanitis polymnia (Linnaeus, 1758), Mechanitis lysimnia (Fabricius, 1793), Tetranychus neocaledonicus André, 1933, Placidula euryanassa C.Felder & R.Felder, 1860, Eriocnemis vestita (R.Lesson, 1839), Dystheatias mangroveicus Emeljanov & Hayashi, 2007, Nomia lusoria Cockerell, 1919, Cinnyris bifasciatus (Shaw, 1812), Terebralia palustris (Linnaeus, 1767), Cryptophlebia horii Kawabe, 1987, Procalyptis parooptera (Turner, 1925), Parasa sundalepida Holloway, 1986, Pleuroptya balteata (Fabricius, 1798), Archips micaceana (Walker, 1863), Megastigmus karnatakensis Narendran, 2003, Aulacaspis australis Brimblecombe, 1959, Prittwitzia hymenaea (Prittwitz, 1865), Methona themisto Hübner, 1816, Episcada hymenaea, Dircenna dero (Hübner, 1823), Peronospora myosotidis de Bary, Phtheochroa rugosana (Hübner, 1796-1799), Henosepilachna argus (Geoffroy, 1785), Andrena florea Fabricius, 1793, Cettia cetti (Temminck, 1820), Phylloscopus trochilus (Linnaeus, 1758), Parus montanus Conrad von Baldenstein, 1827, Phylloscopus bonelli (Vieillot, 1819), Caltoris canaraica (Moore, 1883), Chartocerus dactylopii (Ashmead, 1900), Cleonus confessus Faust, 1904, Physomerus grossipes (Fabricius, 1794), Aphis verbasci Schrank, 1801, Herpetogramma pertextalis Lederer, 1863, Cryptographis nitidalis Stoll, Euthalia lubentina Cramer, 1779, Hecatera dysodea (Denis & Schiffermüller), 1775, Lineodes integra Zeller, 1873, Amauromyza verbasci (Bouché, 1847), Beschorneria yuccoides K.Koch, Chilades parrhasius (Fabricius, 1793), Argynnis hyperbius (Linnaeus, 1763), Cucullia verbasci (Linnaeus, 1758), Glenoides texanaria (Hulst, 1888), Aellopos tantalus Linnaeus, 1758, Speyeria callippe (Boisduval, 1852), Vespula alascensis (Packard, 1870), Hyles gallii von Rottemburg, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6447085 records from 4984 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015076-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.41183.v1/t2
title: "Table 2" of "COMPTON EFFECT ON pi- MESON"

description: No description provided.
description: DATA REQUESTED 1 APR 1987 BY YGS.
DOI: 10.17182/hepdata.41183.v1/t3
title: "Table 3" of "COMPTON EFFECT ON pi- MESON"

description: No description provided.
description: DATA REQUESTED 1 APR 1987 BY YGS.
DOI: 10.17182/hepdata.41183.v1/t4
title: "Table 4" of "COMPTON EFFECT ON pi- MESON"

description: No description provided.
description: DATA REQUESTED 1 APR 1987 BY YGS.
DOI: 10.17182/hepdata.41183.v1/t5
title: "Table 5" of "COMPTON EFFECT ON pi- MESON"

description: No description provided.
description: DATA REQUESTED 1 APR 1987 BY YGS.
DOI: 10.17182/hepdata.41183.v1/t6
title: "Table 6" of "COMPTON EFFECT ON pi- MESON"

description: No description provided.
description: DATA REQUESTED 1 APR 1987 BY YGS.
DOI: 10.17182/hepdata.41184.v1/t1
title: "Table 1" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: THE RATIO SIG(RHO0)/SIG(OMEGA) IS FREE PARAMETER.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t2
title: "Table 2" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: THE RATIO SIG(RHO0)/SIG(OMEGA)=1. AND FIXED.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t3
title: "Table 3" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t4
title: "Table 4" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: THE RATIO SIG(RHO0)/SIG(OMEGA) IS FREE PARAMETER.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t5
title: "Table 5" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: THE RATIO SIG(RHO0)/SIG(OMEGA)=1. AND FIXED.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t6
title: "Table 6" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t7
title: "Table 7" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t8
title: "Table 8" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.60893/figshare.jap.30382738
title: Supplement 1-6

description: Supplementary Material
DOI: 10.60893/figshare.jap.30382738.v1
title: Supplement 1-6

description: Supplementary Material
DOI: 10.17182/hepdata.41184.v1/t10
title: "Table 10" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41184.v1/t9
title: "Table 9" of "$\rho^0$ and $\omega$ Meson Inclusive Production by 70-{GeV}/$c$ Protons on the Be Nuclei."

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV FROM COMPUTER TABLES.
DOI: 10.17182/hepdata.41186.v1/t1
title: "Table 1" of "Study of the A-dependence of the Inclusive Spectra of the $\rho^0$ and $\omega$ Mesons Produced by the $\pi^-$ Mesons at 43-{GeV}/$c$"

description: No description provided.
description: DATA SUPPLIED BY A.A.LEBEDEV (FROM COMPUTER TABLES).