Описание
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.
Записи данных
Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 347 записей.
Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.
Версии
В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.
Как оформить ссылку
Исследователи должны дать ссылку на эту работу следующим образом:
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
Права
Исследователи должны соблюдать следующие права:
Публикующей организацией и владельцем прав на данную работу является Laboratori d'Aplicacions Bioacustiques - Universitat Politècnica de Catalunya · Barcelona Tech (UPC). Насколько это возможно по закону, издатель отказался от всех прав на эти данные и посвятил их Public Domain (CC0 1.0). Пользователи могут без ограничений копировать, изменять, распространять и использовать работу, в том числе в коммерческих целях.
Регистрация в GBIF
Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 8e86cea4-2c9c-47b2-953c-ce8394cbba13. Laboratori d'Aplicacions Bioacustiques - Universitat Politècnica de Catalunya · Barcelona Tech (UPC) отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF Spain.
Ключевые слова
occurrences; Observation; xprize-rainforest; final; manaus; brazil
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Географический охват
The data was collected at Iranduba, State of Amazonas, 69405-000, Brazil
| Ограничивающие координаты | Юг Запад [-2,96, -60,74], Север Восток [-2,95, -60,73] |
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Таксономический охват
N/A
| Kingdom | Metazoa, Plantae |
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| Phylum | Arthropoda, Annelida, Chordata, Streptophyta |
| Class | Clitellata, Arachnida, Aves, Mammalia, Collembola, Amphibia, Pinopsida, Magnoliopsida, Insecta |
| Order | 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 |
| Family | 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 |
Временной охват
| Дата начала / Дата окончания | 2024-07-17 / 2024-07-18 |
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Данные проекта
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.
| Название | Species identification during the final stage of the 24 hour XPRIZE Rainforest competition in Manaus (Brazil) |
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| Идентификатор | https://www.xprize.org/prizes/rainforest |
| Финансирование | 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. |
| Описание района исследования | 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. |
| Описание плана выполнения исследований | 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. |
Исполнители проекта:
Методы сбора
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.
| Охват исследования | 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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| Контроль качества | For the acoustic classifications an expert verified examples for each species. |
Описание этапа методики:
- 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.
Дополнительные метаданные
| Описание частоты обновления ресурса | The data set may be updated if further analysis results in additions or errors in the species classification. |
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| Альтернативные идентификаторы | 10.15470/jjbagl |
| https://ipt.gbif.es/resource?r=upc-amazonia |