Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,421
datasets available to search
ShareScore release 0.7.1
Dataset results
3,421 results for “Amazon”
FIGURE 42 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 42 | Rhinotocinclus chromodontus, MCP 32660, 25.2 mm SL, male, igarapé Ribeirão Preto, on road MT-338, ca. 26 km ESE of Porto dos Gaúchos, Porto dos Gaúchos, Mato Grosso, Brazil.
FIGURE 40 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 40 | Rhinotocinclus marginalis, holotype, MCP 54748, 19.6 mm SL, rio Iriri at Cachoeira Grande, ca. 15 km upstream from confluence with rio Xingu, Piranhaquara, Pará, Brazil.
FIGURE 39 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 39 | Rhinotocinclus pentakelis, MCP 54394, 23.4 mm SL, female, rio Palma at Lavandeira, rio Tocantins basin, Tocantins, Brazil.
FIGURE 45 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 45 | Rhinotocinclus jumaorum, MCP 54758, 27.0 mm SL, male, rio Juma on vicinal road ca. 6 km from Transamazon road (BR-230), Apuí, Amazonas, Brazil.
FIGURE 41 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 41 | Rhinotocinclus loxochelis, holotype, MPEG 38957, 22.6 mm SL, female, creek in Jamanxim National Forest, Itaituba, Pará, Brazil.
FIGURE 37 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 37 | Rhinotocinclus dani, MCP 54756, 26.1 mm SL, female, rio Paranaíta, Paranaíta, Mato Grosso, Brazil.
FIGURE 36 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 36 | Geographic distribution of Rhinotocinclus species of the R. bockmanni group in southeastern Amazon basin. Rhinotocinclus bockmanni (black dots); R. dani (red dots); R. hera (pink dots); R. loxochelis n. sp. (blue dots); R. marginalis n. sp. (white dots); R. pentakelis (yellow dots). T = Type-locality.
FIGURE 38 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 38 | Rhinotocinclus hera, holotype, MCP 52500, 25.2 mm SL, female, igarapé do Onça, tributary to rio Curuá-Una, on road BR-163 between Belterra and Rurópolis, Belterra, Pará, Brazil.
FIGURE 35 in A new genus of armored catfish (Siluriformes: Loricariidae) from the Greater Amazon, with a review of the species and description of five new species
FIGURE 35 | Rhinotocinclus bockmanni, paratype, MCP 46046, 23.0 m SL, female, sand bank of rio Cururu, tributary to rio Teles Pires, rio Tapajós basin, Jacareacanga, Pará, Brazil.
Linked collectors and determiners for: New records and diagnostic notes on large carpenter bees (Hymenoptera: Apidae: genus Xylocopa Latreille), from the Amazon River basin of South America.
Natural history specimen data linked to collectors and determiners held within, "New records and diagnostic notes on large carpenter bees (Hymenoptera: Apidae: genus Xylocopa Latreille), from the Amazon River basin of South America". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e23922d1-6f43-4280-8ac6-131767dc4464">https://bionomia.net/dataset/e23922d1-6f43-4280-8ac6-131767dc4464</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e23922d1-6f43-4280-8ac6-131767dc4464">https://gbif.org/dataset/e23922d1-6f43-4280-8ac6-131767dc4464</a>. Formatted as a Frictionless Data package.
Data_Amazon_forest_regeneration
<p><strong>Data and maps produced for the study "Simple Ecological Indicators Benchmark Regeneration Success of Amazonian Forests"</strong></p> <ul> <li> <p><strong>data_plot.csv</strong> → Data on forest attributes and predictor variables used to analyze the drivers of regeneration.</p> </li> <li> <p><strong>data.figure2.csv</strong> → GLMM model results and effect sizes used to generate Figure 2.</p> </li> <li> <p><strong>raster.bdod_1km_mask.tif</strong> and <strong>raster.clay_1km_mask.tif</strong> → Raster data of soil bulk density and soil clay at 1 km resolution, used to generate predicted regeneration curves for the entire Amazon (Figure 3).</p> </li> <li> <p><strong>agb1mask_20_250m.tif</strong> → Map of Aboveground Biomass values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> <li> <p><strong>ba_250m_year_20.tif</strong> → Map of Basal Area values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> <li> <p><strong>div_hill_250m_year_20.tif</strong> → Map of Species Diversity values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> <li> <p><strong>max_dbh_250m_year_20.tif</strong> → Map of Maximum DBH values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> <li> <p><strong>sh_250m_year_20.tif</strong> → Map of Structural Heterogeneity (SH) values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> <li> <p><strong>spc_rich_250m_year_20.tif</strong> → Map of Species Richness values along the optimal successional trajectory across the Amazon, predicted using GLMM models.</p> </li> </ul> <ul> <li><strong>Drivers_forest_Regeneration_Fig2.R</strong> → R script for GLMM model analysis, which loads the dataset <strong>Regenera_all_plot_data_2022_05_16d.csv</strong> and generates Figure 2 using <strong>data.figure2.csv</strong>.</li> <li> <p><strong>Predict_Amazon_Curves_Figure_3.R</strong> → R script to generate predicted regeneration curves across the Amazon based on GLMM results, loading <strong>raster.clay_1km_mask.tif</strong> and <strong>raster.bdod_1km_mask.tif</strong>.<br><br><strong>GEE_code_Predict_Maps.txt</strong> → Google Earth Engine code to generate predicted maps of ecological integrity at 250 m resolution for the entire Amazon.</p> </li> </ul>
Linked collectors and determiners for: Descriptions of eight new Acrogonia species from the Amazon region, including peculiar features of the female genitalia (Hemiptera: Cicadellidae: Cicadellinae: Proconiini).
Natural history specimen data linked to collectors and determiners held within, "Descriptions of eight new Acrogonia species from the Amazon region, including peculiar features of the female genitalia (Hemiptera: Cicadellidae: Cicadellinae: Proconiini)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a6a35b7d-280e-4ec0-81c8-35a24b62adfe">https://bionomia.net/dataset/a6a35b7d-280e-4ec0-81c8-35a24b62adfe</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a6a35b7d-280e-4ec0-81c8-35a24b62adfe">https://gbif.org/dataset/a6a35b7d-280e-4ec0-81c8-35a24b62adfe</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Amazoonops, a new genus of goblin spiders (Araneae: Oonopidae) from the Brazilian Amazon.
Natural history specimen data linked to collectors and determiners held within, "Amazoonops, a new genus of goblin spiders (Araneae: Oonopidae) from the Brazilian Amazon". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/92b19f16-a3d8-4924-89ff-1800c1d048d0">https://bionomia.net/dataset/92b19f16-a3d8-4924-89ff-1800c1d048d0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/92b19f16-a3d8-4924-89ff-1800c1d048d0">https://gbif.org/dataset/92b19f16-a3d8-4924-89ff-1800c1d048d0</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Andes to Amazon Biodiversity Program.
Natural history specimen data linked to collectors and determiners held within, "Andes to Amazon Biodiversity Program". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/82ceb6ba-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/82ceb6ba-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/82ceb6ba-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/82ceb6ba-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New species of Xiphoniscus and new record of Androdeloscia escalonai (Isopoda, Scutocoxifera, Oniscidea, Philosciidae) from Brazilian Amazon.
Natural history specimen data linked to collectors and determiners held within, "New species of Xiphoniscus and new record of Androdeloscia escalonai (Isopoda, Scutocoxifera, Oniscidea, Philosciidae) from Brazilian Amazon". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3dfbfcb5-aec2-45b9-81c4-ae176b4802cc">https://bionomia.net/dataset/3dfbfcb5-aec2-45b9-81c4-ae176b4802cc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3dfbfcb5-aec2-45b9-81c4-ae176b4802cc">https://gbif.org/dataset/3dfbfcb5-aec2-45b9-81c4-ae176b4802cc</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A time relic: a new species of dwarf boa, Tropidophis Bibron, 1840 (Serpentes: Amerophidia), from the Upper Amazon Basin.
Natural history specimen data linked to collectors and determiners held within, "A time relic: a new species of dwarf boa, Tropidophis Bibron, 1840 (Serpentes: Amerophidia), from the Upper Amazon Basin". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/9333695a-96ff-4ffe-a639-b75433682bee">https://bionomia.net/dataset/9333695a-96ff-4ffe-a639-b75433682bee</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/9333695a-96ff-4ffe-a639-b75433682bee">https://gbif.org/dataset/9333695a-96ff-4ffe-a639-b75433682bee</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: TUR Amazon research team collections.
Natural history specimen data linked to collectors and determiners held within, "TUR Amazon research team collections". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e">https://bionomia.net/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e">https://gbif.org/dataset/35e0b405-7fcf-4dd8-a5f9-e8b6a03b670e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Lectotypification of the taxa of Adolpho Ducke from the Brazilian Amazon.
Natural history specimen data linked to collectors and determiners held within, "Lectotypification of the taxa of Adolpho Ducke from the Brazilian Amazon". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e135da9b-6edb-4737-8316-c65f4c3f4cf8">https://bionomia.net/dataset/e135da9b-6edb-4737-8316-c65f4c3f4cf8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e135da9b-6edb-4737-8316-c65f4c3f4cf8">https://gbif.org/dataset/e135da9b-6edb-4737-8316-c65f4c3f4cf8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Clusia nitida, a new species of Clusia (Clusiaceae) from the Brazilian Amazon.
Natural history specimen data linked to collectors and determiners held within, "Clusia nitida, a new species of Clusia (Clusiaceae) from the Brazilian Amazon". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/bc74c09a-42b6-496a-920a-c091d73a3dbc">https://bionomia.net/dataset/bc74c09a-42b6-496a-920a-c091d73a3dbc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/bc74c09a-42b6-496a-920a-c091d73a3dbc">https://gbif.org/dataset/bc74c09a-42b6-496a-920a-c091d73a3dbc</a>. Formatted as a Frictionless Data package.
ArchaeoSat :Amazon Mounds & Geoglyphs
<p>This dataset provides high-resolution satellite imagery for identifying mounds and geoglyphs in the Amazon region. Collected from Google Earth, this dataset aims to support machine learning models in detecting and protecting archaeological structures at risk. This dataset marks the first step in a larger project to survey and protect vulnerable archaeological sites globally, especially in underdeveloped regions.</p> <h2>Dataset Overview</h2> <ul> <li><strong>Total Images</strong>: 63,673 <ul> <li><strong>Images with Objects (Mounds/Geoglyphs)</strong>: 31,834</li> <li><strong>False Images (Similar Environment Without Objects)</strong>: 31,839</li> </ul> </li> <li><strong>Image Resolution</strong>: 256x256 pixels</li> <li><strong>Source</strong>: Google Earth satellite imagery</li> <li><strong>Location</strong>: Amazon region</li> </ul> <div> <h3>Dataset Structure</h3> <div>/dataset │ ├── positive_images.zip # Contains images with mounds/geoglyphs (31,834 images) │ ├── false_images.zip # Contains images of similar environments without structures (31,839 images)</div> <div> </div> <div> </div> <h2>Features and Usage</h2> <ol> <li> <div>Machine Learning</div> </li> </ol> <div>The dataset is suited for various tasks:</div> <ul> <li> <div><strong>Binary Classification</strong>: Distinguishing images with archaeological structures from those without.</div> </li> <li> <div><strong>Object Detection</strong>: Identifying and localizing mounds and geoglyphs within the image frames.</div> </li> </ul> <ol> <li> <div>Empirical Analysis</div> </li> </ol> <div>Research can be conducted to study:</div> <ul> <li> <div><strong>Shape Variations</strong>: Different mound and geoglyph shapes and sizes across regions.</div> </li> <li> <div><strong>Degradation Patterns</strong>: Examining potential damage due to environmental factors, supporting conservation efforts.</div> </li> </ul> <h2>Potential Applications</h2> <ul> <li> <div><strong>Archaeological Surveying</strong>: Enhance the discovery and cataloging of ancient structures across the Amazon and beyond.</div> </li> <li> <div><strong>Conservation</strong>: Assist in monitoring and protecting sites facing risks from environmental or human activities.</div> </li> <li> <div><strong>Global Expansion</strong>: This initial dataset aims to develop a methodology for surveying archaeological structures in underdeveloped regions globally.</div> </li> </ul> <div> </div> <h2>The why:</h2> <div>This project was inspired by a story shared on Twitter highlighting the risk of Amazonian geoglyphs vanishing due to environmental and human pressures. This dataset represents the first step in a broader initiative aimed at heritage preservation in underdeveloped regions, with the goal of safeguarding archaeological sites that are increasingly under threat.</div> </div>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.