bonndata catalog
Thumbnail for Replication Code & Data for: Health benefits of reduced deforestation in the Brazilian Amazon

Replication Code & Data for: Health benefits of reduced deforestation in the Brazilian Amazon

Open this dataset in the live repository

Important usage condition: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/OWKNFV
Published version
1.0
Publication date
2024-11-15
License
CC BY-SA 4.0

Description

Contains the merged panel dataset ready for analysis and the code to replicate all figures and tables from the publication and the corresponding supplementary information. Original raw dataset and processing/merging code available upon request.

Creators

Keywords

Brazilian Amazon, fires, air pollution, human health

Files

Before downloading: Use and redistribution are governed by CC BY-SA 4.0. Review and comply with the license before using the data.
FileTypeBytesChecksum
readme.txttext/plain12984MD5 ca6d3e101cbb536c655b9114d3d2557a
table_pre_trend_test.rtype/x-r-syntax7400MD5 7338c362e03cf6ce2b5838d15b8c0a9b
main.Rtype/x-r-syntax1125MD5 c18e053a3d9f23275c9044d4ec1ac358
table_multiple_bandwidths.rtype/x-r-syntax8779MD5 8044e5f012990725157171b4c749161a
brazilian_legal_amazon.zipapplication/zipped-shapefile89912MD5 095af4c9bbd6f532e4500ac95b9a4897
analysis_year.RDSapplication/gzip10001766MD5 22e7059c500101f2ac543c1004e46dd9
figure_yearly_effects_plot_adjustments.Rtype/x-r-syntax4456MD5 8d405dee46ace535d70fdb903331fd88
inpe_fires_legal_amazon.RDSapplication/gzip333MD5 479ed71d9b604701d796144f5af7ae38
figure_maps.Rtype/x-r-syntax5197MD5 71df18acab5af19267606863b9385f55
table_health_effects.rtype/x-r-syntax6777MD5 de137c40a3adfa1443d35607e26c98ea
table_mechanism_controls.rtype/x-r-syntax8214MD5 775d650bbed9f67ab4341bc8596f3643
figure_monthly.rtype/x-r-syntax2966MD5 6a3f2384e1abc04aa561fc6b5a38c8e2
terrabrasilis_deforestation_legal_amazon.csvtext/csv499MD5 76254451f641f5c7ae075efbf952eb21
biome_line.gpkgapplication/octet-stream110592MD5 44827dce74832a0e4fc81cfe0b4c11fd
municipalities_2013.zipapplication/zipped-shapefile3130783MD5 256710a452cfbae1113034914952605a
table_who_guidelines.rtype/x-r-syntax6502MD5 5020664f086a00fa0432c270b272a624
figure_fire_rdid.Rtype/x-r-syntax3411MD5 47cac43f52f8f3d0639120b4386b229c
ggplot_theme_publication.rtype/x-r-syntax9617MD5 2aa3a89bfe1a2a604e88c317466d73f8
fire_rdid.rdsapplication/gzip66384MD5 f457fb4b1698b80e8df15221341f79a7
table_summary.rtype/x-r-syntax9768MD5 5b61d50defa787f26ba7ef0e567f4822
analysis_year.csvtext/csv299039024MD5 51547cce15a80c0a1c5b005c2f561cc5
table_acute_exposure.Rtype/x-r-syntax3542MD5 a3bf1404565f2f78b31b70cb0a36854b
figure_deforestation.rtype/x-r-syntax2509MD5 3207daa81ca565e2e4a3ce83d06fa246
analysis_month.RDSapplication/gzip61012551MD5 f6003aeedb5d31a637e5d3896b80ea71
specifications.jsonapplication/json1979MD5 00cbd27d1ce65080e925209610df9378
figure_main_results.Rtype/x-r-syntax3491MD5 28ec0c63a6ec553b0098a4ec58576c05
Health benefits of reduced deforestation in the Brazilian Amazon.Rprojapplication/octet-stream218MD5 584b2434d675b192dc1614bd62b5b93e

Citation

Damm, Yannic, 2024-11-15, Replication Code & Data for: Health benefits of reduced deforestation in the Brazilian Amazon, doi:10.60507/FK2/OWKNFV, V1.0

Additional Dataverse fields

Id39
Dataset Typedataset
Internal Version Number48
Latest Version Publishing StateRELEASED
Deaccession LinkNot supplied
Release Time2024-11-15T13:36:04Z
Create Time2023-09-14T14:23:31Z
Citation Date2024-11-15
File Access RequestTrue

Export metadata

Static metadata exports available for this published dataset version:

Complete Dataverse metadata

Citation Metadata

Title title
Replication Code & Data for: Health benefits of reduced deforestation in the Brazilian Amazon
Author author
  1. Author Name
    Damm, Yannic
    Author Affiliation
    University of Bonn
    Author Identifier Scheme
    ORCID
    Author Identifier
    0000-0002-3464-5347
Dataset Contact datasetContact
  1. Dataset Contact Name
    Damm, Yannic
    Dataset Contact Affiliation
    University of Bonn
    Dataset Contact Email
    ydamm@uni-bonn.de
Ds Description dsDescription
  1. Ds Description Value
    Contains the merged panel dataset ready for analysis and the code to replicate all figures and tables from the publication and the corresponding supplementary information. Original raw dataset and processing/merging code available upon request.
    Ds Description Date
    2024-10-31
Subject subject
  1. Earth and Environmental Sciences
  2. Medicine, Health and Life Sciences
  3. Social Sciences
Free Keyword freeKeyword
  1. Free Keyword Value
    Brazilian Amazon
  2. Free Keyword Value
    fires
  3. Free Keyword Value
    air pollution
  4. Free Keyword Value
    human health
Publication publication
  1. Publication Relation Type
    IsSupplementTo
    Publication Citation
    Damm, Y., Börner, J., Gerber, N. et al. Health benefits of reduced deforestation in the Brazilian Amazon. Commun Earth Environ 5, 693 (2024). https://doi.org/10.1038/s43247-024-01840-7
    Publication IDType
    doi
    Publication IDNumber
    10.1038/s43247-024-01840-7
    Publication URL
    https://doi.org/10.1038/s43247-024-01840-7
Language language
  1. English
  2. Portuguese
Depositor depositor
Damm, Yannic
Date Of Deposit dateOfDeposit
2023-09-14
Kind Of Data kindOfData
  1. rds (R Data Serialization)
  2. csv (Comma-separated values)
Software software
  1. Software Name
    R
    Software Version
    4.4.1
Data Sources dataSources
  1. DATASUS, IBGE, INPE, SISAM, TerraBrasilis

Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.