Descrição
These data are the result from the final stage (Manaus, Brazil) of the XPRIZE Rainforest competition. During 24 hours data was captured (predominantly audio and eDNA) and it was analyzed during the 48 hours afterwards. The data contains the unique species that were detected at each location through both methods.
Registros de Dados
Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 347 registros.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
André M, Esterci Ramalho E, Marquès-Bonet T, Hidalgo Hidalgo S, Erbs F, Storer E, van der Schaar M, Gomes L, Correa Acosta R, Batista Vieira C, Meloni Nassar P, Lizano Gonzalez E, Juan D, Esteban Wenge L, Da Silva Mendoza I, Fernando Saraiva de Menezes J, Sanchez Marrero A, Molina Cruz P, Fugarolas Vilà M (2024). XPRIZE Rainforest Brazil (Manaus) Final. Version 1.0. Laboratori d'Aplicacions Bioacustiques - Universitat Politècnica de Catalunya · Barcelona Tech (UPC). Occurrence dataset. https://doi.org/10.15470/jjbagl
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é Laboratori d'Aplicacions Bioacustiques - Universitat Politècnica de Catalunya · Barcelona Tech (UPC). To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 8e86cea4-2c9c-47b2-953c-ce8394cbba13. Laboratori d'Aplicacions Bioacustiques - Universitat Politècnica de Catalunya · Barcelona Tech (UPC) publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Spain.
Palavras-chave
occurrences; Observation; xprize-rainforest; final; manaus; brazil
Contatos
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- Bioacoustician
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- Internship
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- Drone Operator
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- Drone operator
Cobertura Geográfica
The data was collected at Iranduba, State of Amazonas, 69405-000, Brazil
| Coordenadas delimitadoras | Sul Oeste [-2,96, -60,74], Norte Leste [-2,95, -60,73] |
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Cobertura Taxonômica
N/A
| Reino | Metazoa, Plantae |
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| Filo | Arthropoda, Annelida, Chordata, Streptophyta |
| Class | Clitellata, Arachnida, Aves, Mammalia, Collembola, Amphibia, Pinopsida, Magnoliopsida, Insecta |
| Ordem | Symphypleona, Psocoptera, Dioscoreales, Hemiptera, Sarcoptiformes, Artiodactyla, Galliformes, Passeriformes, Chiroptera, Malpighiales, Apodiformes, Boraginales, Lamiales, Crassiclitellata, Thysanoptera, Nyctibiiformes, Rosales, Galbuliformes, Araneae, Lepidoptera, Cupressales, Diptera, Entomobryomorpha, Trogoniformes, Trichoptera, Tinamiformes, Fagales, Anura, Falconiformes, Myrtales, Orthoptera, Accipitriformes, Columbiformes, Charadriiformes, Hymenoptera, Psittaciformes, Caprimulgiformes, Fabales, Strigiformes, Coraciiformes, Piciformes |
| Família | Psittacidae, Hypericaceae, Mymaridae, Vireonidae, Thyropteridae, Plantaginaceae, Nyctibiidae, Mydidae, Dendrocolaptidae, Columbidae, Cupressaceae, Picidae, Cracidae, Fringillidae, Momotidae, Emballonuridae, Fabaceae, Glossoscolecidae, Chironomidae, Psittaciformes, Thamnophilidae, Gryllidae, Sciaridae, Tityridae, Phasianidae, Ramphastidae, Erebidae, Caprimulgidae, Isotomidae, Araneidae, Molossidae, Phalangopsidae, Cotingidae, Rhynchocyclidae, Pipridae, Tyrannidae, Laridae, Mogoplistidae, Bovidae, Nyctiibidae, Psocidae, Sarcophagidae, Thraupidae, Bignoniaceae, Trogonidae, Tettigoniidae, Melastomataceae, Vespertilionidae, Cicadidae, Thripidae, Romaleidae, Dolichopodidae, Fagaceae, Boraginaceae, Accipitridae, Cecidomyiidae, Moraceae, Dicyrtomidae, Hirundinidae, Oecanthidae, Strigidae, Trigonidiidae, Bucconidae, Tinamidae, Falconidae, Dioscoreaceae, Apodidae, Chloropidae, Hydropsychidae, Icteridae, TInamidae, Galbulidae, Leptodactylidae, Euphorbiaceae, Thamnophilinae, Pyroglyphidae, Juglandaceae, Formicidae |
Cobertura Temporal
| Data Inicial / Data final | 2024-07-17 / 2024-07-18 |
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Dados Sobre o Projeto
The XPRIZE Rainforest competition is a contest where teams have 24 hours to obtain samples from a 100 ha area, without being able to physically enter the zone. The data was collected by monitoring platforms deployed by remotely operated drones during the first 24 hours of the competition. After the platforms were retrieved the data was analyzed in the subsequent 48 hours to report on the biodiversity and general health of the monitored area.
| Título | Species identification during the final stage of the 24 hour XPRIZE Rainforest competition in Manaus (Brazil) |
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| Identificador | https://www.xprize.org/prizes/rainforest |
| Financiamento | The participation in the competition was financed by the participating institutions themselves, with contributions from the XPRIZE when teams advanced to the semi-finals and to the final. |
| Descrição da Área de Estudo | The Iranduba area near Manaus in the state of Amazonas (Brazil) was selected by the XPRIZE organization, a 100 ha rectangular zone of flooded forest, as defined in the geographic coverage section. |
| Descrição do Design | The objectives during the 24 hours of data collection were to collect audio recordings and organic material for eDNA analysis from 6 monitoring platforms installed in the tree canopy distributed over the competition area. Separate drone flights were organized to collect additional organic material from various spots in the competition area. |
O pessoal envolvido no projeto:
Métodos de Amostragem
Six monitoring stations (DROPs) were deployed covering the 100 ha competition area. Each DROP included a digital microphone sampling continuously at 192 kHz and 16 bits. The acoustic data was preprocessed on the DROP itself (sound level measurements, ecoacoustic indicators, acoustic classification), and processed further after recovery. The DROP also has a few "sticky" zones where organic material (mostly insects) can be collected. The systems were left in the trees during the night and recovered the following morning; all systems needed to be back in the base camp before noon local time.
| Área de Estudo | The Iranduba area near Manaus in the state of Amazonas (Brazil) was selected by the XPRIZE organization, a 100 ha rectangular zone of flooded forest, as defined in the geographic coverage section. |
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| Controle de Qualidade | For the acoustic classifications an expert verified examples for each species. |
Descrição dos passos do método:
- The acoustic data was processed by custom software written in C or Python. The classification was done through a CNN that was trained on data from various sources. In addition, the audio was processed by BirdNET. The GBIF dataset consists of results from both classifiers where we included the best example from each detected species at each DROP. The eDNA analysis utilizes universal primers to detect plants and animals in one single assay for a comprehensive species identification. The experimental workflow allowed for high sample throughput at high quality. This was achieved through a universal, field-ready DNA extraction protocol, pooled library preparation, efficient library normalization strategy and real time analyses and species identification during sequencing. The protocol is suitable for metabarcoding and barcoding, as well as long-range PCR. The implementation of long-range PCR has the potential to inform about population individual composition enabled by Nanopore's unique long-read capabilities.
Metadados Adicionais
| Descrição da manutenção | The data set may be updated if further analysis results in additions or errors in the species classification. |
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| Identificadores alternativos | 10.15470/jjbagl |
| https://ipt.gbif.es/resource?r=upc-amazonia |