Browsing by Type "Controlled Vocabulary for Resource Type Genres::texto::revista::artículo::artículo de datos"
  • Institution Publication
    A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
    ( 2024-12-01)
    Challéat S.
    ;
    Farrugia N.
    ;
    Froidevaux J.S.P.
    ;
    Froidevaux J.S.P.
    ;
    Froidevaux J.S.P.
    ;
    Gasc A.
    ;
    Gasc A.
    ;
    Pajusco N.
    ;
    Pajusco N.
    ;
    Zina V.
    ;
    Puccherelli I.Z.
    ;
    Xie S.
    ;
    Wu Y.
    ;
    Windsor F.M.
    ;
    Whyte D.L.
    ;
    Wearn O.R.
    ;
    Watson C.J.
    ;
    Walton W.D.J.
    ;
    Vrignault J.D.
    ;
    Vivat A.
    ;
    Vinet O.
    ;
    Villén-Pérez S.
    ;
    Oliveras J.V.
    ;
    Victor P.J.
    ;
    Ventrice G.
    ;
    Vega K.
    ;
    Vargas Soto J.S.
    ;
    Ullrich P.A.
    ;
    Tuninetti A.
    ;
    Townsend K.
    ;
    Tovar-Garca J.D.
    ;
    Tovar-Garca J.D.
    ;
    Todd M.
    ;
    Thompson M.E.
    ;
    Templeton C.N.
    ;
    Tattersall F.
    ;
    Tarrant I.B.
    ;
    Sugai L.S.M.
    ;
    Sugai L.S.M.
    ;
    Sugai L.S.M.
    ;
    Sueur J.
    ;
    Sourdril A.
    ;
    Soto-Navarro C.
    ;
    Sinclair P.F.
    ;
    Simon V.
    ;
    Silva B.M.
    ;
    Sierra-Durán C.
    ;
    Shepherd B.
    ;
    Shaw T.
    ;
    Serronha A.M.
    ;
    Serronha A.M.
    ;
    Segurado P.
    ;
    Sebag M.S.
    ;
    Scherer-Lorenzen M.
    ;
    Schai-Braun S.C.
    ;
    Savage D.
    ;
    Savage D.
    ;
    Santos J.M.
    ;
    Sandfort R.
    ;
    Sandfort R.
    ;
    Sadhukhan S.
    ;
    Sadhukhan S.
    ;
    Ryser A.M.
    ;
    Rouy Q.
    ;
    Rouy Q.
    ;
    Ross S.R.P.J.
    ;
    Ross S.R.P.J.
    ;
    Rosa J.
    ;
    Roos A.L.
    ;
    Romaine L.
    ;
    Rodrguez-Rodrguez E.
    ;
    Rodrguez-González P.M.
    ;
    Rodrigues C.F.
    ;
    Rivera V.
    ;
    Reginster J.B.
    ;
    Reed M.
    ;
    Reckinger G.
    ;
    Rasmussen R.
    ;
    Ramos M.
    ;
    Quiroga N.I.
    ;
    Quinn J.E.
    ;
    Quaglietta L.
    ;
    Quaglietta L.
    ;
    Puig-Montserrat X.
    ;
    Puechmaille S.J.
    ;
    Puechmaille S.J.
    ;
    Prugh L.
    ;
    Proulx R.
    ;
    Proppe D.S.
    ;
    Pratt V.
    ;
    Power A.
    ;
    Poppele J.M.
    ;
    Poff Z.
    ;
    Pinto N.
    ;
    Pinto N.
    ;
    Pijanowski B.C.
    ;
    Pijanowski B.C.
    ;
    Philippe M.
    ;
    Peyronnet C.
    ;
    Barreiro S.P.
    ;
    Pereira J.M.
    ;
    Patankar S.
    ;
    Parisot M.
    ;
    Paris S.
    ;
    Paiva V.H.
    ;
    Owren J.O.
    ;
    Ouertani M.
    ;
    Ocampo D.
    ;
    O’Mara M.T.
    ;
    O’Mara M.T.
    ;
    O’Mara M.T.
    ;
    O’Connell D.P.
    ;
    O’Connell D.P.
    ;
    Marcaigh F.
    ;
    Nyssen P.
    ;
    Nyssen P.
    ;
    Nunes J.T.
    ;
    Newton A.C.
    ;
    Naka L.N.
    ;
    Murillo-Bedoya D.
    ;
    Mueller S.
    Political responses to the COVID-19 pandemic led to changes in city soundscapes around the globe. From March to October 2020, a consortium of 261 contributors from 35 countries brought together by the Silent Cities project built a unique soundscape recordings collection to report on local acoustic changes in urban areas. We present this collection here, along with metadata including observational descriptions of the local areas from the contributors, open-source environmental data, open-source confinement levels and calculation of acoustic descriptors. We performed a technical validation of the dataset using statistical models run on a subset of manually annotated soundscapes. Results confirmed the large-scale usability of ecoacoustic indices and automatic sound event recognition in the Silent Cities soundscape collection. We expect this dataset to be useful for research in the multidisciplinary field of environmental sciences.
  • 2024
    A dataset of acoustic measurements from soundscapes collected worldwide during the COVID-19 pandemic
    Acceso Abierto
    ( 2024-12-01)
    Challéat S. | Farrugia N. | Froidevaux J.S.P. ... ver más
    Artículo de datos
  • 2025
    A Pan-Amazonian dataset integrating 20 years of respiratory, cardiovascular, zoonotic and vector-borne disease cases and landscape changes
    Acceso Abierto
    ( 2025-12-01)
    Barreto J.R. | Barreto J.R. | Sangermano F. ... ver más
    Artículo de datos
  • Institution Publication
    Camera trap surveys of Atlantic Forest mammals: A data set for analyses considering imperfect detection (2004–2020)
    ( 2024-05-01)
    Franceschi I.C.
    ;
    Franceschi I.C.
    ;
    Dornas R.A.d.P.
    ;
    Dornas R.A.d.P.
    ;
    Lermen I.S.
    ;
    Lermen I.S.
    ;
    Coelho A.V.P.
    ;
    Vilas Boas A.H.
    ;
    Chiarello A.G.
    ;
    Paglia A.P.
    ;
    de Souza A.C.
    ;
    Borsekowsky A.R.
    ;
    Rocha A.
    ;
    Rocha A.
    ;
    Bager A.
    ;
    de Souza A.Z.
    ;
    Lopes A.M.C.
    ;
    de Moura A.S.
    ;
    Ferreira A.S.
    ;
    García-Olaechea A.
    ;
    García-Olaechea A.
    ;
    Delciellos A.C.
    ;
    Bacellar A.E.d.F.
    ;
    Campelo A.K.N.
    ;
    Campelo A.K.N.
    ;
    Paschoal A.M.O.
    ;
    Rolim A.C.
    ;
    da Silva A.L.F.
    ;
    da Silva A.L.F.
    ;
    Lanna A.M.
    ;
    Lanna A.M.
    ;
    da Silva A.P.
    ;
    Guimarães A.
    ;
    Cardoso Â.
    ;
    Cassol A.S.
    ;
    da Costa-Pinto A.L.
    ;
    da Costa-Pinto A.L.
    ;
    do Nascimento A.G.S.
    ;
    Fernandes A.S.
    ;
    Clyvia A.
    ;
    Santos A.B.d.
    ;
    Lima-Silva B.
    ;
    Beisiegel B.d.M.
    ;
    Beisiegel B.d.M.
    ;
    Luciano B.F.L.
    ;
    Luciano B.F.L.
    ;
    Leopoldo B.d.F.
    ;
    Krobel B.N.
    ;
    Kubiak B.B.
    ;
    Saranholi B.H.
    ;
    Correa B.S.
    ;
    Sant Anna Teixeira C.
    ;
    Ayroza C.R.
    ;
    Cassano C.R.
    ;
    Benitez-Riveros C.
    ;
    Benitez-Riveros C.
    ;
    Gestich C.C.
    ;
    Tedesco C.D.
    ;
    Gheler-Costa C.
    ;
    Gheler-Costa C.
    ;
    Hegel C.G.Z.
    ;
    Evangelista Junior C.d.S.
    ;
    Evangelista Junior C.d.S.
    ;
    Ferreira C.E.M.F.
    ;
    Grelle C.E.V.
    ;
    Grelle C.E.V.
    ;
    Esteves C.F.
    ;
    Espinosa C.d.C.
    ;
    Leuchtenberger C.
    ;
    Sanchéz-Lalinde C.
    ;
    Sanchéz-Lalinde C.
    ;
    Machado C.I.C.
    ;
    Andreazzi C.
    ;
    Bueno C.
    ;
    Cronemberger de Faria C.
    ;
    Cronemberger de Faria C.
    ;
    Novaes C.
    ;
    Widmer C.E.
    ;
    Santos C.C.
    ;
    Santos C.C.
    ;
    Ferraz D.d.S.
    ;
    Ferraz D.d.S.
    ;
    Galiano D.
    ;
    Bôlla D.A.S.
    ;
    Behs D.
    ;
    Rodrigues D.P.
    ;
    de Melo D.P.
    ;
    Ramos D.M.S.
    ;
    de Mattia D.L.
    ;
    Pavei D.D.
    ;
    Loretto D.
    ;
    Huning D.d.S.
    ;
    Dias D.d.M.
    ;
    Paetzhold É.R.
    ;
    Paetzhold É.R.
    ;
    Rios E.
    ;
    Setz E.Z.F.
    ;
    Cazetta E.
    ;
    Cafofo Silva E.G.
    ;
    Pasa E.
    ;
    Saito E.N.
    ;
    Saito E.N.
    ;
    de Aguiar E.F.S.
    ;
    Castro É.P.
    ;
    Castro É.P.
    ;
    Viveiros de Castro E.B.
    ;
    Viveiros de Castro E.B.
    ;
    Pedó E.
    ;
    Pedó E.
    ;
    Pereira F.d.A.
    ;
    Pereira F.d.A.
    ;
    Bolzan F.
    ;
    Bolzan F.
    ;
    Roque F.d.O.
    ;
    Mazim F.D.
    ;
    Comin F.H.
    ;
    Comin F.H.
    ;
    Maffei F.
    ;
    Peters F.B.
    ;
    Fantacini F.M.
    ;
    Fantacini F.M.
    ;
    da Silva F.P.
    ;
    da Silva F.P.
    ;
    Machado F.S.
    ;
    Machado F.S.
    ;
    Machado F.S.
    ;
    Machado F.S.
    ;
    Vélez-Garcia F.
    ;
    Vélez-Garcia F.
    ;
    Lage F.S.D.
    ;
    Perini F.A.
    ;
    Passos F.C.
    ;
    Carvalho F.
    ;
    Carvalho F.
    Camera traps became the main observational method of a myriad of species over large areas. Data sets from camera traps can be used to describe the patterns and monitor the occupancy, abundance, and richness of wildlife, essential information for conservation in times of rapid climate and land-cover changes. Habitat loss and poaching are responsible for historical population losses of mammals in the Atlantic Forest biodiversity hotspot, especially for medium to large-sized species. Here we present a data set from camera trap surveys of medium to large-sized native mammals (>1 kg) across the Atlantic Forest. We compiled data from 5380 ground-level camera trap deployments in 3046 locations, from 2004 to 2020, resulting in 43,068 records of 58 species. These data add to existing data sets of mammals in the Atlantic Forest by including dates of camera operation needed for analyses dealing with imperfect detection. We also included, when available, information on important predictors of detection, namely the camera brand and model, use of bait, and obstruction of camera viewshed that can be measured from example pictures at each camera location. Besides its application in studies on the patterns and mechanisms behind occupancy, relative abundance, richness, and detection, the data set presented here can be used to study species' daily activity patterns, activity levels, and spatiotemporal interactions between species. Moreover, data can be used combined with other data sources in the multiple and expanding uses of integrated population modeling. An R script is available to view summaries of the data set. We expect that this data set will be used to advance the knowledge of mammal assemblages and to inform evidence-based solutions for the conservation of the Atlantic Forest. The data are not copyright restricted; please cite this paper when using the data.
  • Institution Publication
    CloudSEN12+: The largest dataset of expert-labeled pixels for cloud and cloud shadow detection in Sentinel-2
    ( 2024-10-01)
    Aybar C.
    ;
    Aybar C.
    ;
    Aybar C.
    ;
    Bautista L.
    ;
    Bautista L.
    ;
    Montero D.
    ;
    Montero D.
    ;
    Contreras J.
    ;
    Contreras J.
    ;
    Ayala D.
    ;
    Prudencio F.
    ;
    Prudencio F.
    ;
    Loja J.
    ;
    Ysuhuaylas L.
    ;
    Herrera F.
    ;
    Gonzales K.
    ;
    Valladares J.
    ;
    Flores L.A.
    ;
    Mamani E.
    ;
    Quiñonez M.
    ;
    Fajardo R.
    ;
    Espinoza W.
    ;
    Limas A.
    ;
    Yali R.
    ;
    Alcántara A.
    ;
    Leyva M.
    ;
    Leyva M.
    ;
    Loayza-Muro R.
    ;
    Loayza-Muro R.
    ;
    Willems B.
    ;
    Willems B.
    ;
    Mateo-García G.
    ;
    Gómez-Chova L.
    Detecting and screening clouds is the first step in most optical remote sensing analyses. Cloud formation is diverse, presenting many shapes, thicknesses, and altitudes. This variety poses a significant challenge to the development of effective cloud detection algorithms, as most datasets lack an unbiased representation. To address this issue, we have built CloudSEN12+, a significant expansion of the CloudSEN12 dataset. This new dataset doubles the expert-labeled annotations, making it the largest cloud and cloud shadow detection dataset for Sentinel-2 imagery up to date. We have carefully reviewed and refined our previous annotations to ensure maximum trustworthiness. We expect CloudSEN12+ will be a valuable resource for the cloud detection research community.
  • 2020
    Data supporting the reconstruction study of missing wind speed logs using wavelet techniques for getting maximum likelihood
    Acceso Abierto
    ( 2020-08-01)
    Cama-Pinto D. | Chávez-Muñoz P.D. | Solano-Escorcia A.F. ... ver más
    Artículo de datos
  • 2020
    Forecasted datasets of electric vehicle consumption on the electricity grid of Spain
    Acceso Abierto
    ( 2020-08-01)
    Cama-Pinto D. | Martínez-Lao J.A. | Solano-Escorcia A.F. ... ver más
    Artículo de datos
  • Institution Publication
    Health risk assessment of heavy metals (Hg, Pb, Cd, Cr and As) via consumption of vegetables cultured in agricultural sites in Arequipa, Peru
    ( 2021-06-01)
    Quispe N.
    ;
    Zanabria D.
    ;
    Chavez E.
    ;
    Cuadros F.
    ;
    Carling G.
    ;
    Paredes B.
    Vegetable consumption may represent a pathway of metal toxicity for humans. In this study, the presence of ecotoxic elements in vegetables from Arequipa, Peru and its toxicity risks was investigated. Samples of peppermint (Mentha sativa), coriander (Mentha spicata L.), garlic (Allium sativum), and leek (Allium ampeloprasum var. Porrum) were collected monthly from October 2018 through February 2019 and analyzed for As, Cd, Cr, Hg, and Pb concentrations by ICP-MS. In relation to international regulations, Cr in coriander (0.144 mg kg−1) exceeded Brazilian regulations of 0.1 mg kg−1 and Pb in peppermint (0.189 mg kg−1) exceeded Australian regulations of 0.1 mg kg−1. The Hazard Quotient and Hazard Index did not reveal potential risk to human health. However, the carcinogenic risk of As in leek, peppermint, and coriander was high for adults and children. These results suggest these vegetables in Arequipa, are safe for human consumption with potential risks associated.
  • 2024
    Intestinal microbiota dataset revealed by high-throughput sequencing of 16S rRNA in children with anemia in southern Peru
    Acceso Abierto
    ( 2024-08-01)
    Pacheco-Aranibar J. | Pacheco-Aranibar J. | Diaz-Rodriguez K. ... ver más
    Artículo de datos
  • Institution Publication
    South American Archaeological Isotopic Database, a regional-scale multi-isotope data compendium for research
    ( 2024-12-01)
    Pezo-Lanfranco L.
    ;
    Pezo-Lanfranco L.
    ;
    Mut P.
    ;
    Chávez J.
    ;
    Chávez J.
    ;
    Fossile T.
    ;
    Fossile T.
    ;
    Colonese A.C.
    ;
    Colonese A.C.
    ;
    Fernandes R.
    ;
    Fernandes R.
    ;
    Fernandes R.
    ;
    Fernandes R.
    The South American Archaeological Isotopic Database (SAAID) is a comprehensive open-access resource that aggregates all available bioarchaeological stable and radiogenic isotope measurements, encompassing data from human individuals, animals, and plants across South America. Resulting from a collaborative effort of scholars who work with stable isotopes in this region, SAAID contains 53,781 isotopic measurements across 24,507 entries from individuals/specimens spanning over 12,000 years. SAAID includes valuable contextual information on archaeological samples and respective sites, such as chronology, geographical region, biome, and spatial coordinates, biological details like estimated sex and age for human individuals, and taxonomic description for fauna and flora. SAAID is hosted at the PACHAMAMA community within the Pandora data platform and the CORA repository to facilitate easy access. Because of its rich data structure, SAAID is particularly well-suited for conducting spatiotemporal meta-analyses. It serves as a valuable tool for addressing a variety of research topics, including the spread, adoption, and consumption intensification of food items, paleo-environmental reconstruction, as well as the exploration of mobility patterns across extensive geographic regions.