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.
263
datasets available to search
ShareScore release 0.9.0
Dataset results
263 results for “Norte”
Distribution. NE Brazil (from Maranhao E to Rio Grande do Norte and S to extreme NE Goias and extreme NW Minas Gerais states). in Chlamyphoridae
Distribution. NE Brazil (from Maranhao E to Rio Grande do Norte and S to extreme NE Goias and extreme NW Minas Gerais states).
Distribution. Coastal NE Brazil from the S of Rio Grande do Norte State (as far W as Jucurutu, 6° 12° S, 37° 02° W,in the caatinga dry forest scrub of the Serra do Estreito), through Paraiba State to NE Pernambuco State; it is possible that it extends to the left bank of the Rio Sao Francisco in Alagoas State. in Cebidae
Distribution. Coastal NE Brazil from the S of Rio Grande do Norte State (as far W as Jucurutu, 6° 12° S, 37° 02° W,in the caatinga dry forest scrub of the Serra do Estreito), through Paraiba State to NE Pernambuco State; it is possible that it extends to the left bank of the Rio Sao Francisco in Alagoas State.
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states. in Cricetidae
Distribution. NE Brazil, N of Rio Sao Francisco, including Maranhao, Piaui, Ceara, Rio Grande do Norte, Paraiba, and Pernambuco states.
Distribution. Coastal forests of N California from the Klamath Mts of Del Norte County S to Sonoma County. The N border of this species and the S boundary of the Red Tree Vole (A. longicaudus) are poorly defined and this region near Humboldt County, California, warrants further study. in Cricetidae
Distribution. Coastal forests of N California from the Klamath Mts of Del Norte County S to Sonoma County. The N border of this species and the S boundary of the Red Tree Vole (A. longicaudus) are poorly defined and this region near Humboldt County, California, warrants further study.
Distribution. Tama highlands in SE Norte de Santander and NE Santander departments (NE Colombia) and W Tachira State (NW Venezuela); it might have a more extensive distribution. in Soricidae
Distribution. Tama highlands in SE Norte de Santander and NE Santander departments (NE Colombia) and W Tachira State (NW Venezuela); it might have a more extensive distribution.
Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil
<p><strong>Data Repository </strong></p> <p><strong>Dataset name:</strong> covid19_rn-br.csv </p> <p><strong>Version: </strong>1.0 </p> <p><strong>Data collection period:</strong> 04/2020 - 08/2021 </p> <p><strong>Dataset Characteristics: </strong>Multivalued </p> <p><strong>Number of Instances:</strong> 12,635</p> <p><strong>Number of Attributes: </strong>16</p> <p><strong>Missing Values:</strong> Yes </p> <p><strong>Area(s): </strong>Health</p> <p><strong>Sources:</strong> </p> <p>- <em>Primary</em>: </p> <ul> <li>RegulaRN (<a href="https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/">https://regulacao.saude.rn.gov.br/sala-situacao/sala_publica/</a>).</li> </ul> <p>- <em>Secondary</em>: </p> <ul> <li>RN Mais Vacina (<a href="https://rnmaisvacina.lais.ufrn.br/cidadao/">https://rnmaisvacina.lais.ufrn.br/cidadao/</a>).</li> </ul> <p><strong>Description:</strong> The covid19_rn-br.csv dataset is composed of data from individuals who were hospitalized due to the Sars-CoV-2 virus. The data comes from the ecosystem of services that includes the regulatory system for clinical and critical beds related to Covid-19 (RegulaRN) and the vaccination system against Covid-19 that records the data of the general population (RN Mais Vacina) from Rio Grande do Norte state, Brazil. This dataset provides elementary data to analyze the impact of vaccination on patients hospitalized in the state. Table 1 presents the dictionary used during the data analysis.</p> <p> </p> <p><strong>Table 1: </strong>Description of Dataset Features. </p> <table> <tbody> <tr> <td> <p><strong>Attributes </strong></p> </td> <td> <p><strong>Description </strong></p> </td> <td> <p><strong>datatype </strong></p> </td> <td> <p><strong>Value</strong></p> </td> </tr> <tr> <td> <p><strong>usp</strong></p> </td> <td> <p>Unified Score for Prioritization scale, which combines the parameters described in the quick Sequential Organ Failure Assessment (qSOFA), the Charlson Comorbidity Index (CCI), the Clinical Frailty Scale (CFS) and The Karnofsky Performance Status scores</p> </td> <td> <p>Numerical</p> </td> <td> <p>2.0. 3.0, 4.0, 5.0, 6.0+</p> </td> </tr> <tr> <td> <p><strong>age</strong></p> </td> <td> <p>Informs the patient's age</p> </td> <td> <p>Numerical.</p> </td> <td> <p>integer value for age</p> </td> </tr> <tr> <td> <p><strong>outcome</strong></p> </td> <td> <p>Informs the outcome of the hospitalized patient after leaving the hospital</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Discharge” or “Death"</p> </td> </tr> <tr> <td> <p><strong>comorbidities</strong></p> </td> <td> <p>Informs if the patient has comorbidities</p> </td> <td> <p>Categorical.</p> </td> <td> <p>“Yes” or “No”</p> </td> </tr> <tr> <td> <p><strong>vaccine</strong></p> </td> <td> <p>Informs which type of vaccine was applied to the patient</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Vaccine #1”, “Vaccine #2” or NaN</p> </td> </tr> <tr> <td> <p><strong>bed_date_admission</strong> </p> </td> <td> <p>Informs the date the patient was hospitalized</p> </td> <td> <p>Date</p> </td> <td> <p>Date</p> </td> </tr> <tr> <td> <p><strong>bed_date_outcome</strong></p> </td> <td> <p>Informs the date that the patient left the hospital bed</p> </td> <td> <p>Date</p> </td> <td> <p>Date</p> </td> </tr> <tr> <td> <p><strong>length_hospitalization</strong></p> </td> <td> <p>Informs the number of days that the patient was hospitalized</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days</p> </td> </tr> <tr> <td> <p><strong>interval_d1_hospitalization</strong></p> </td> <td> <p>Informs the interval (in days) that the patient had between the first dose and admission</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days or NaN</p> </td> </tr> <tr> <td> <p><strong>interval_d2_hospitalization</strong></p> </td> <td> <p>Informs the interval (in days) that the patient had between the second dose and admission</p> </td> <td> <p>Numerical</p> </td> <td> <p>An integer value for days or NaN</p> </td> </tr> <tr> <td> <p><strong>dt_d1</strong></p> </td> <td> <p>Informs the date of application of the patient's first dose</p> </td> <td> <p>Date</p> </td> <td> <p>Date or NaN</p> </td> </tr> <tr> <td> <p><strong>dt_d2</strong></p> </td> <td> <p>Informs the patient's second dose application date</p> </td> <td> <p>Date</p> </td> <td> <p>Date or NaN</p> </td> </tr> <tr> <td> <p><strong>comorbidities_txt</strong></p> </td> <td> <p>Informs patients' comorbidities</p> </td> <td> <p>Categorical</p> </td> <td> <p>Free text or NaN</p> </td> </tr> <tr> <td> <p><strong>immunization</strong></p> </td> <td> <p>It informs the patient's immunization level according to the number of doses received and the interval (in days) of application of these doses</p> </td> <td> <p>Categorical</p> </td> <td> <p>“Partially”, “Fully” or “Not vaccinated”</p> </td> </tr> <tr> <td> <p><strong>health_professionals</strong></p> </td> <td> <p>Informs if the patient is a health professional</p> </td> <td> <p>Boolean</p> </td> <td> <p>0 or 1</p> </td> </tr> <tr> <td> <p><strong>age_group</strong></p> </td> <td> <p>Informs the age group of the hospitalized patient according to their age</p> </td> <td> <p>Categorical</p> </td> <td> <p>0-19, 20-49, 50-59, 60-69, 70-79, 80-89, 90+</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Article</strong>: Effectiveness of COVID-19 vaccination on reduction of hospitalizations and deaths in elderly patients in Rio Grande do Norte, Brazil</p> <p><br> <strong>Authors</strong>: Ana Isabela L. Sales-Moioli, Leonardo J. Galvão-Lima, Talita K. B. Pinto, Pablo H. Cardoso, Rodrigo D. Silva, Felipe Fernandes, Ingridy M. P. Barbalho, Fernando L. O. Farias, Nicolas V. R. Veras, Gustavo F. Souza, Agnaldo S. Cruz, Ion G. M. Andrade, Lúcio Gama, Ricardo A. M. Valentim</p>
Aríbalo Inca del norte de Chile
Aríbalo Inca del norte de Chile Source: Objaverse 1.0 / Sketchfab
FIGURE 6 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 6. Venn diagram showing the number of species for each beach and the shared species among the beachrocks studied at Baixa Grande and Ponta do Mel beaches, Rio Grande do Norte, Northeastern Brazil. Aa, Amorphinopsis atlantica; Av, Amphimedon viridis; Ca, Cinachyrella alloclada; Cca, Cladocroce caelum; Cce, Cliona celata complex; Cd, Cliothosa delitrix; Dr, Dysidea robusta; Ed, Echinodictyum dendroides; Hi, Haliclona (Reniera) implexiformis; Hma, Haliclona (Reniera) manglaris; Hc, Haliclona (Soestella) caerulea; Hme, Haliclona (Soestella) melana; Htu, Haliclona (Reniera) tubifera; Hs1, Haliclona sp. 1; Hs2, Haliclona sp. 2; Hs3, Haliclona sp. 3; Hs4, Haliclona sp. 4; Ps, Placospongia sp.; Ti, Tedania (Tedania) ignis.
FIGURE 3 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 3. Morphological details of sponges of Baixa Grande and Ponta do Mel beaches, Rio Grande do Norte, Northeastern Brazil. (Photos taken in situ and with different scale sizes). A, Echinodictyum dendroides Hechtel, 1983; B, Cliona celata complex Grant, 1826; C, Cliothosa delitrix (Pang, 1973); D, Placospongia sp.; E, Dysidea robusta Vilanova & Muricy, 2001; F, Cladocroce caelum Santos, Da Silva, Alliz & Pinheiro, 2014; G, Haliclona sp. 1; H, Haliclona sp. 2; I, Haliclona sp. 3; J, Haliclona sp. 4; K, Haliclona (Reniera) implexiformis (Hechtel, 1965); L, Haliclona (Reniera) manglaris Alcolado, 1984; M, Haliclona (Reniera) tubifera (George & Wilson, 1919); N, Haliclona (Soestella) caerulea (Hechtel, 1965); O, Haliclona (Soestella) melana Muricy & Ribeiro, 1999; P, Amphimedon viridis Duchassaing & Michelotti, 1864; Q, Tedania (Tedania) ignis (Duchassaing & Michelotti, 1864); R, Amorphinopsis atlantica Carvalho, Hajdu, Mothes & van Soest, 2004; S, Cinachyrella alloclada (Uliczka, 1929).
FIGURE 2 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 2. Studied beachrocks at Areia Branca (northern Rio Grande do Norte, Brazil) during low tide. A–B, Baixa Grande beach; C–D, Ponta do Mel beach.
FIGURE 1 in Previously unknown diversity: the marine sponge (Porifera) fauna from Rio Grande do Norte State, NE Brazil
FIGURE 1. Map showing the location of Baixa Grande Beach (1) and Ponta do Mel Beach (2) in the northern coast of Rio Grande do Norte, Northeastern Brazil.
FIGURA 3. A in Descripción de una nueva especie del género Drymaeus (Albers, 1850) para el norte de Perú y nuevos datos sobre Drymaeus valentini (Gastropoda: Bulimulidae)
FIGURA 3. A: Mapa de distribución de las tres poblaciones estudiadas de DrymOeus vOlentini Breure & Vega-Luz,2020 y DrymOeus ommOtidiO sp. nov. B: Ejemplar vivo de DrymOeus vOlentini de la localidad 3 (sur de Chachapoyas,Dept.Amazonas).
FIGURA 2. A in Descripción de una nueva especie del género Drymaeus (Albers, 1850) para el norte de Perú y nuevos datos sobre Drymaeus valentini (Gastropoda: Bulimulidae)
FIGURA 2. A: DrymOeus vOlentini de la nueva localidad 1 (cerca del Bosque de Protección de Alto Mayo,cerca de Rioja,dept.San Martin) tamaño 25,38 mm. B: DrymOeus vOlentini de la nueva localidad 2 (sur de Chachapoyas,dept.Amazonas),tamaño 24,10 mm.C: DrymOeus vOlentini de la localidad tipo (cerca de Molinopampa,dept.Amazonas),tamaño 27,79 mm.D: DrymOeus ommOtidiO sp.nov.Paratipo 4 de la localidad tipo (nordeste de Bagua,provincia de Bagua, dept.Amazonas) tamaño 22,90 mm.Escala 10 mm.
Base de Dados Unificada - 2020 e 2021 - Região Norte do Brasil
<p>Base de dados com registros de pacientes com SRAG da região norte do Brasil extraídos do openDataSUS.</p>
Figure 1 in Host effect on morphology of the fruit fly Anastrepha zenildae (Diptera: Tephritidae) from the Semi-Arid region of Rio Grande do Norte
Figure 1. Map of the Guava and Jua sample sites in the state of Rio Grande do Norte.
FIGURA 4 in Biologia Reprodutiva De Taraba Major (Aves, Thamnophilidae) Na Região Do Pirizal, Porção Norte Do Pantanal, Mato Grosso, Brasil
FIGURA 4: Espécies vegetais utilizadas por Taraba major como planta suporte para construção de 49 ninhos na região do Pirizal, município de Poconé, porção norte do Pantanal de Mato Grosso, Brasil.
FIGURA 2 in Biologia Reprodutiva De Taraba Major (Aves, Thamnophilidae) Na Região Do Pirizal, Porção Norte Do Pantanal, Mato Grosso, Brasil
FIGURA 2: Número de ninhos com ovos e filhotes de Taraba major nos anos de 2009 e 2010 na fazenda Retiro Novo, município de Poconé, porção norte do Pantanal, Mato Grosso, Brasil.
FIGURA 1 in Biologia Reprodutiva De Taraba Major (Aves, Thamnophilidae) Na Região Do Pirizal, Porção Norte Do Pantanal, Mato Grosso, Brasil
FIGURA 1: Mapa da área de estudo na localidade do Pirizal, município de Poconé, porção norte do Pantanal, Mato Grosso, Brasil. (IN- TERMAT, 1997). O retângulo representa a área da Fazenda Retiro Novo.
FIGURA 4 in Nuevos Registros De Squamata (Reptilia) Para El Pleistoceno Superior Del Norte De La Provincia De Buenos Aires, Argentina F A G J Abstract
FIGURA 4: A-B, Homonota sp. (MRJP P556) dentario derecho completo en vistas: A, lingual; B, labial. Escala: 1 mm.
FIGURA 5 in Nuevos Registros De Squamata (Reptilia) Para El Pleistoceno Superior Del Norte De La Provincia De Buenos Aires, Argentina F A G J Abstract
FIGURA 5: A, Mapa indicando la distribución geográfica aproximada de Liolaemus spp.; B, Mapa indicando la distribución geográfica aproximada de Anops kingii; C, Mapa indicando la distribución geográfica aproximada de Homonota spp.; D, Mapa indicando la zona de superposición entre Anops kingii, Homonota spp., y Liolaemus spp. Datos extraídos principalmente de Cei (1993) y Montero (1996).
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.