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421 results for “Pará”
Linked collectors and determiners for: HBRA - Herbário do Instituto de Estudos Costeiros da Universidade Federal do Pará.
Natural history specimen data linked to collectors and determiners held within, "HBRA - Herbário do Instituto de Estudos Costeiros da Universidade Federal do Pará". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/33082168-ab2e-4e27-b304-8e722a6f5403">https://bionomia.net/dataset/33082168-ab2e-4e27-b304-8e722a6f5403</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/33082168-ab2e-4e27-b304-8e722a6f5403">https://gbif.org/dataset/33082168-ab2e-4e27-b304-8e722a6f5403</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Catalog of the Chrysomelinae (Coleoptera: Chrysomelidae) deposited in the entomological collections of the Museu Paraense Emílio Goeldi (MPEG) and the Universidade do Estado do Pará (UEPA), Belém, Brazil.
Natural history specimen data linked to collectors and determiners held within, "Catalog of the Chrysomelinae (Coleoptera: Chrysomelidae) deposited in the entomological collections of the Museu Paraense Emílio Goeldi (MPEG) and the Universidade do Estado do Pará (UEPA), Belém, Brazil". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/05c9eba1-7cf5-4372-b482-846b28104833">https://bionomia.net/dataset/05c9eba1-7cf5-4372-b482-846b28104833</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/05c9eba1-7cf5-4372-b482-846b28104833">https://gbif.org/dataset/05c9eba1-7cf5-4372-b482-846b28104833</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new Amazonian species of Adenomera (Anura: Leptodactylidae) from the Brazilian state of Pará: a tody-tyrant voice in a frog.
Natural history specimen data linked to collectors and determiners held within, "A new Amazonian species of Adenomera (Anura: Leptodactylidae) from the Brazilian state of Pará: a tody-tyrant voice in a frog". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ff77f600-4cf8-4437-ab29-fe9f679bbe4c">https://bionomia.net/dataset/ff77f600-4cf8-4437-ab29-fe9f679bbe4c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ff77f600-4cf8-4437-ab29-fe9f679bbe4c">https://gbif.org/dataset/ff77f600-4cf8-4437-ab29-fe9f679bbe4c</a>. Formatted as a Frictionless Data package.
Fig. 9 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 9. Moenkhausia petymbuaba, photographed alive, MZUSP 97530, Brazil, Pará, Altamira, tributary to rio Curuá, rio Xingu basin. Photo by M. Sabaj Pérez.
Fig. 8 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 8. Upper and lower jaws of Moenkhausia plumbea, paratype, MZUSP 96849, 39.1 mm SL; lateral view, anterior to right. Retroarticular and posterior, smaller teeth of dentary lost during SEM preparation.
Fig. 7 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 7. Moenkhausia plumbea, aquarium specimen showing live coloration from Brazil, Pará, Novo Progresso, tributary of rio Braço Norte, rio Tapajós basin, collected with MZUSP 96849.
Fig. 4 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 4. Collecting sites and type-localities of Moenkhausia chlorophthalma (squares) and Moenkhausia plumbea (circles). Open symbols represent type-localities.
Fig. 2 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 2. Moenkhausia chlorophthalma, aquarium specimen showing live coloration, Brazil, Pará, Altamira, rio Treze de Maio, collected with holotype.
Fig. 3 in Two new species of Moenkhausia Eigenmann (Characiformes: Characidae) from Serra do Cachimbo, Pará, Northern Brazil
Fig. 3. Upper and lower jaws of Moenkhausia chlorophthalma, paratype, MZUSP 97092, 43.3 mm SL; lateral view, anterior to right, SEM preparation.
Fig. 7 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 7. Apistogramma salpinction, paratype, NRM 37027, 25.1 mm SL, pattern of lateralis openings on head. Arrows point to coronalis pore and anterior dentary pores hidden from view.
Fig. 3 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 3. Apistogramma angayuara, holotype, INPA 24058, 23.7 mm SL, pattern of lateralis openings on head. Arrows point to coronalis pore and anterior dentary pores hidden from view.
Fig. 5 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 5. Apistogramma salpinction, holotype, INPA 24507, adult male, 35.5 mm SL. Brazil, rio Trombetas drainage, swamp at Km 70 on margin of BR-163.
Fig. 2 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 2. Apistogramma angayuara, paratype, INPA 12647, female, 22.1 mm SL. Brazil, rio Trombetas below cachoeira Vira Mundo.
Fig. 1 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 1. Apistogramma angayuara, holotype, INPA 24058, adult male, 23.7 mm SL. Brazil, rio Trombetas below cachoeira Vira Mundo.
Fig. 6 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 6. Apistogramma salpinction, paratype, NRM 37027, female, 25.1 mm SL. Brazil, rio Trombetas drainage, swamp at Km 70 on margin of BR-163.
Fig. 4 in Two new species of Apistogramma Regan (Teleostei: Cichlidae) from the rio Trombetas, Pará State, Brazil
Fig. 4. Collecting sites of Apistogramma angayuara and A. salpinction plotted on a map of the lower rio Trombetas drainage.
L1A - Discrete airborne LiDAR transects collected by EBA in the Brazilian Amazon (Mato Grosso, Amazonas e Pará)
<p>In two campaigns (2016/2017 and 2017/2018), we collected LiDAR transects across the Brazilian Amazon. Some transects were randomly distributed over the forest and secondary forest, some were randomly distributed over the deforestation arch, and others overlapped field plots to allow for model calibration. Each transect covered a minimum of 375 hectares (12.5 km x 300 m) and was surveyed by emitting full-waveform laser pulses from a Trimble Harrier 68i airborne sensor (Trimble; Sunnyvale, CA) aboard a Cessna aircraft (model 206). The average point density was set at four returns per m², the field of view was 30°, the flying altitude was 600 m, and the transect width on the ground was approximately 494 m. Global Navigation Satellite System (GNSS) data were collected on a dual-frequency receiver (L1/L2). The pulse footprint was below 30 cm, based on a divergence angle between 0.1 and 0.3 milliradians. Horizontal and vertical accuracy were controlled to be under 1 m and 0.5 m, respectively.</p> <p>We used the PRODES forest mask (2015) and secondary vegetation (forest regrown after complete forest clearing) from TerraClass (2014) to distribute the transects. To calibrate and validate the airborne LiDAR predictions of biomass, we intentionally overlapped some transects with field plots from 15 research partners. In 2017/2018, we complemented the expanded the transects survey improving the representation of secondary forest based on TerraClass (INPE, 2014). To calibrate and validate the airborne LiDAR predictions of biomass. The metadata about each transect is included in the shapefile hosted at Zenodo repository (<a href="https://doi.org/10.5281/zenodo.4968706">https://doi.org/10.5281/zenodo.4968706</a>).</p> <p>To position the transects, we randomly generated center points with X, Y coordinates and assigned a random alpha slope angle to each point. We visually inspected the start points to ensure they were within the forest or secondary vegetation mask. If the start point was not entirely within a forest, as seen by satellite image, we discarded the seed point and selected another one. For each point, we created a shapefile with a 12.5 km x 300 m polygon. For both campaigns, if there were any conflicts with the flight plan (e.g., proximity to an airport or military restrictions), the company making the flights requested repositioning it to the closest allowed area.</p> <p>This deposit delivers data from Mato Grosso (1 zip file), Amazonas (2 zip files) and Pará (8 zip files).</p>
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Final products from "3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL"
<p>In these .zip folders, you will find the products generated from flight missions carried out between November 7th to 14th, 2021, in the Volta Grande do Xingu, Pará, Brazil. <br>These results are presented as an integral part of the article titled '3D MODELING AS A CONSERVATION TOOL TO CHARACTERIZE ENDANGERED SEASONALLY FLOODED ECOSYSTEMS IN THE VOLTA GRANDE DO XINGU, AMAZON FOREST, PARÁ, BRAZIL' published on the doctoral thesis "Characterization and monitoring of the flooding dynamics and seasonally flooded environments of the Volta Grande do Xingu through remote sensing", available at <a href="https://doi.org/10.11606/T.106.2023.tde-02022024-211517">https://doi.org/10.11606/T.106.2023.tde-02022024-211517</a>. To understand the data processing methodology that led to these results, please refer to the thesis.<br>Each folder represents a flight mission. They are named by date and flight number (DD_MM_YYYY_FLIGHT#).<br>Within each folder, there are six files resulting from the processed flights: The georeferenced orthophoto and Digital Surface Model, which are raster files (.TIFs), the dense point cloud (.las), and the files composing the 3D Model generated by Agisoft Metashape (extensions .OBJ, .MTL, and .JPEG).<br>The .OBJ file is the primary file for visualizing the model, including the three-dimensional mesh formed by the points of the point cloud and containing geometry, texture, and color information. <br>The .MTL file contains the material description associated with the OBJ file and includes information about the visual properties of the model, such as texture, reflections, and materials. <br>The .JPEG files are the texture images used on the Digital Surface Model to generate the 3D model. This information provides the model with its realistic properties.<br>The .OBJ, .MTL and .JPEG files need to be together in the same folder for a complete 3D Model visualization (i.e., shape, color, and texture).<br>When using this data, please cite Affonso, A. A. (2023). <em>Caracterização e monitoramento da dinâmica de alagamento e dos ambientes sazonalmente alagáveis da Volta Grande do Xingu através de sensoriamento remoto</em>. Tese de Doutorado, Instituto de Energia e Ambiente, Universidade de São Paulo, São Paulo. doi:10.11606/T.106.2023.tde-02022024-211517. Recuperado em 2024-04-14, de www.teses.usp.br</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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