Dataset of socio-economic and waste collection indicators for Portugal at municipal level
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.2/9444 |
Resumo: | This data article presents demographic, socio-economic and wasterelated data at municipal level for Portugal. The dataset includes raw data collected from 4 main sources: (i) the annual reports of waste management companies; (ii) the database of the Portuguese water, sanitation and waste regulatory entity; (iii) the Portuguese Environmental Agency; and (iv) national statistical data. Relevant indicators for waste generation and for the separate collection of waste are proposed and calculated using the raw data. The dataset comprises municipalities with high, medium and low separate collection yields, providing socio-economic and waste infrastructures data that can be used for benchmarking. The dataset can also be used to define a baseline against which the progress of the collection of packaging waste can be assessed over time, or else serve as input to mathematical models predicting waste generation and collection. Moreover, data can serve as the base to calculate new waste-related indicators. In addition to being a valuable input to the waste topic, the dataset can also be used in a large range of other topics where demographic and socio-economic parameters are relevant. The data presented herein are associated with the research articles “Model for the separate collection of packaging waste in Portuguese low-performing recycling regions” [1] and “Artificial neural network modelling of the amount of separatelycollected household packaging waste” [2]. |
id |
RCAP_86db48be4e949f811cf50c9307fd4ddd |
---|---|
oai_identifier_str |
oai:repositorioaberto.uab.pt:10400.2/9444 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Dataset of socio-economic and waste collection indicators for Portugal at municipal levelThis data article presents demographic, socio-economic and wasterelated data at municipal level for Portugal. The dataset includes raw data collected from 4 main sources: (i) the annual reports of waste management companies; (ii) the database of the Portuguese water, sanitation and waste regulatory entity; (iii) the Portuguese Environmental Agency; and (iv) national statistical data. Relevant indicators for waste generation and for the separate collection of waste are proposed and calculated using the raw data. The dataset comprises municipalities with high, medium and low separate collection yields, providing socio-economic and waste infrastructures data that can be used for benchmarking. The dataset can also be used to define a baseline against which the progress of the collection of packaging waste can be assessed over time, or else serve as input to mathematical models predicting waste generation and collection. Moreover, data can serve as the base to calculate new waste-related indicators. In addition to being a valuable input to the waste topic, the dataset can also be used in a large range of other topics where demographic and socio-economic parameters are relevant. The data presented herein are associated with the research articles “Model for the separate collection of packaging waste in Portuguese low-performing recycling regions” [1] and “Artificial neural network modelling of the amount of separatelycollected household packaging waste” [2].This work has been funded by Portuguese National Funds through FCT – Portuguese Foundation for Science and Technology under CERNAS (UID/AMB/00681/2013) (Portugal). Celia Dias-Ferreira and Verónica Oliveira have been funded through FCT “Fundação para a Ciência e para a Tecnologia” (Portugal) by POCH – Programa Operacional Capital Humano within ESF – European Social Fund (European Union) and by national funds from MCTES (Portugal) (SFRH/BPD/100717/2014; SFRH/BD/ 115312/2016). Vitor Sousa acknowledges the support from FCT and CERIS Portugal). The authors also gratefully acknowledge project Life PAYT – “Tool to Reduce Waste in South Europe” (LIFE Programme of the European Union, LIFE15 ENV/PT/000609).SFRH/BD/115312/2016LIFE15 ENV/PT/000609Repositório AbertoOliveira, VerónicaSousa, VitorFerreira, Célia2020-03-05T16:34:55Z2019-022020-02-29T11:35:42Z2019-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.2/9444eng2352-3409cv-prod-53831110.1016/j.dib.2018.12.0692-s2.0-85059703274info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-19T01:45:56Zoai:repositorioaberto.uab.pt:10400.2/9444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:49:13.813142Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
title |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
spellingShingle |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level Oliveira, Verónica |
title_short |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
title_full |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
title_fullStr |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
title_full_unstemmed |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
title_sort |
Dataset of socio-economic and waste collection indicators for Portugal at municipal level |
author |
Oliveira, Verónica |
author_facet |
Oliveira, Verónica Sousa, Vitor Ferreira, Célia |
author_role |
author |
author2 |
Sousa, Vitor Ferreira, Célia |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Aberto |
dc.contributor.author.fl_str_mv |
Oliveira, Verónica Sousa, Vitor Ferreira, Célia |
description |
This data article presents demographic, socio-economic and wasterelated data at municipal level for Portugal. The dataset includes raw data collected from 4 main sources: (i) the annual reports of waste management companies; (ii) the database of the Portuguese water, sanitation and waste regulatory entity; (iii) the Portuguese Environmental Agency; and (iv) national statistical data. Relevant indicators for waste generation and for the separate collection of waste are proposed and calculated using the raw data. The dataset comprises municipalities with high, medium and low separate collection yields, providing socio-economic and waste infrastructures data that can be used for benchmarking. The dataset can also be used to define a baseline against which the progress of the collection of packaging waste can be assessed over time, or else serve as input to mathematical models predicting waste generation and collection. Moreover, data can serve as the base to calculate new waste-related indicators. In addition to being a valuable input to the waste topic, the dataset can also be used in a large range of other topics where demographic and socio-economic parameters are relevant. The data presented herein are associated with the research articles “Model for the separate collection of packaging waste in Portuguese low-performing recycling regions” [1] and “Artificial neural network modelling of the amount of separatelycollected household packaging waste” [2]. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02 2019-02-01T00:00:00Z 2020-03-05T16:34:55Z 2020-02-29T11:35:42Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.2/9444 |
url |
http://hdl.handle.net/10400.2/9444 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2352-3409 cv-prod-538311 10.1016/j.dib.2018.12.069 2-s2.0-85059703274 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799135075676192768 |