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.
448
datasets available to search
ShareScore release 0.9.0
Dataset results
448 results for “rio grande do sul”
Fig. 2 in First record of Heteropsylla caldwelli Burckhardt (Hemiptera: Psyllidae) from Brazil and its population dynamics on earpod tree in Rio Grande do Sul
Fig. 2. Population dynamics of Heteropsylla caldwelli (bars) and mean air temperature variation (in ◦C) in a seven-year-old plantation of Enterolobium contortisiliquum in an abandoned open-pit coal mine in Candiota, RS, between May 2014 and April 2016.
Fig. 1. Psyllids sampling with a in First record of Heteropsylla caldwelli Burckhardt (Hemiptera: Psyllidae) from Brazil and its population dynamics on earpod tree in Rio Grande do Sul
Fig. 1. Psyllids sampling with a beating net in the middle in a seven-year-old plantation of Enterolobium contortisiliquum in an abandoned open-pit coal mine in Candiota, RS, between May 2014 and April 2016.
LANDSLIDES RIO GRANDE DO SUL APRIL- MAY 2024
<p> </p> <p><strong>LANDSLIDES RIO GRANDE DO SUL APRIL- MAY 2024</strong></p> <p> </p> <p>Mapping of scars from the event triggered by rains in RS from April 23 to May 5, 2024. Images analyzed from Google (prior to the event), from PlanetScope on April 20 and 21, 2024 (prior to the event), and on May 6, 7, and 8, 2024 (after the event). The mapped features, therefore, correspond to those triggered by the first and most intense rain event that occurred in the state.</p> <p><strong>Data Description</strong>: GEO_RS_CEMADEN_WGS84_POLIGONOS_MM.shp - polygons of the landslides (may include small flows and the transport area) = 13,945 mapped scar polygons and 141 mapped flow polygons GEO_RS_CEMADEN_WGS84_PONTOS_MM.shp - points of landslide ruptures = 15,057 points</p> <p><strong>Executing Team</strong>: Harideva Marturano Egas, Rodrigo Augusto Stabile, Márcio Roberto Magalhães de Andrade, Tatiana Sussel Gonçalves Mendes, Danielle Silva de Paula, Tulius Dias Nery, João Paulo de Carvalho Araújo, Elisabete Weber Reckziegel, Demerval Aparecido Gonçalves.</p> <p><strong>Technical Note</strong>: https://www.gov.br/cemaden/pt-br/assuntos/monitoramento/notas-tecnicas/nota-tecnica-no-412-2024-sei-cemaden-mapeamento-dos-movimentos-de-massa-relacionados-ao-desastre-de-abril-maio-2024-no-estado-do-rio-grande-do-sul</p> <p>IMAGES PLANET Plataforma Brasil Mais (Rede MAIS/MJSP, includes material © 2023 Planet Labs Inc. All rights reserved) </p>
Fig. 2 in Estrutura populacional de Talitroides topitotum (Crustacea: Amphipoda: Talitridae) em Santa Maria, região central do Rio Grande do Sul, Brasil
Fig. 2. Fragmento de Floresta na localidade de São Marcos, Santa Maria, RS, Brasil. Armadilha do tipo pitfall com estrutura de proteção durante a exposição no campo.
Fig. 1 in Estrutura populacional de Talitroides topitotum (Crustacea: Amphipoda: Talitridae) em Santa Maria, região central do Rio Grande do Sul, Brasil
Fig. 1. Mapa da área de amostragem na localidade de São Marcos, Santa Maria/RS, Brasil durante o período de junho de 2020 a maio de 2021.
Fig. 4 in Estrutura populacional de Talitroides topitotum (Crustacea: Amphipoda: Talitridae) em Santa Maria, região central do Rio Grande do Sul, Brasil
Fig. 4. Talitroides topitotum (Burt, 1934). DistribuiÇão das classes de tamanho (em milÍmetros) das três categorias demogrÁficas obtidas no perÍodo de junho de 2020 a maio de 2021.
Fig. 3 in Estrutura populacional de Talitroides topitotum (Crustacea: Amphipoda: Talitridae) em Santa Maria, região central do Rio Grande do Sul, Brasil
Fig. 3. Talitroides topitotum (Burt, 1934). Foto de um exemplar com indicação das medidas tomadas: Cc, comprimento cefÁlico; CCo, Comprimento corporal; Cm, Comprimento do marsÚpio (somente para as fêmeas ovÍgeras).
Figs 5, 6 in Estrutura populacional de Talitroides topitotum (Crustacea: Amphipoda: Talitridae) em Santa Maria, região central do Rio Grande do Sul, Brasil
Figs 5, 6. Talitroides topitotum (Burt, 1934). Relações morfométricas dos talitrídeos amostrados de junho de 2020 a maio de 2021: 5, Comprimento corporal e comprimento cefÁlico (mm) (p<0,05, r²= 0,88); 6, Comprimento corporal e comprimento do marsÚpio (mm) das fêmeas ovÍgeras da populaÇão (p<0,05, r²= 0,62).
Figs 2, 3 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Figs 2, 3. Aquatic Oligochaeta in wetlands and irrigated rice fields in the state of Rio Grande do Sul, Brazil: 2, taxonomic richness; 3, species composition.
Fig. 1 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Fig. 1. Location of the study regions and study sites in Rio Grande do Sul state, Brazil. Abbreviations of the study regions: FV = 'Foz do Vacacaí' study region; SD = 'São Donato' study region; SG = 'southwestern' study region. Numbers indicate the study sites and follow Table I.
Figs 81-89 in Gall-inducing insects of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil
Figs 81-89. Insects galls of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil: 81-82, Rudgea parquioides; 83, Xylosma pseudosalzmanii; 84-85, Allophylus edulis; 86, Serjania sp.; 87, Smilax sp.; 88, Cestrum strigillatum; 89, Cissus striata. Scale bar: 1 cm.
Figs 21-40 in Gall-inducing insects of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil
Figs 21-40. Insects galls of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil: 21, Cordia ecalyculata; 22, Cordia americana; 23-24, Celtis iguanaea; 25, Trema micrantha; 26-27, Citronella gongonha: 28-31, Dioscorea scabra; 32, Sloanea monosperma; 33, Sebastiania sp.; 34, Bauhinia forficata; 35-39, Inga marginata; 40, Machaerium paraguariense. Scale bar: 1 cm.
Figs 61-80 in Gall-inducing insects of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil
Figs 61-80. Insects galls of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil: 61-64, Guapira opposita; 65, Seguieria aculeata; 66-73, Piper aduncum; 74-76, Piper mikanianum; 77-78, Myrsine coriacea; 79-80, Psychotria carthagenensis. Scale bar: 1 cm.
Figs 1-20 in Gall-inducing insects of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil
Figs 1-20. Insects galls of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil: 1, Justicia brasiliana; 2-6, Calea serrata; 7, Dasyphyllum spinescens; 8-13, Mikania glomerata; 14-17, Mikania micrantha; 18, Moquiniastrum polymorphum; 19, Trixis praestans; 20, Dolichandra unguis-cati. Scale bar: 1 cm.
Figs 41-60 in Gall-inducing insects of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil
Figs 41-60. Insects galls of deciduous and semideciduous forests in Rio Grande do Sul State, Brazil: 41, Ocotea puberula; 42-45, Nectandra megapotamica; 46-48, Luehea divaricata; 49-50, Leandra regnellii; 51, Trichilia claussenii; 52, Mollinedia elegans; 53, Mollinedia schottiana; 54, Sorocea bonplandii; 55, Campomanesia xanthocarpa; 56-57, Eugenia uniflora; 58-59, Myrcianthes pungens; 60, Psidium cattleyanum. Scale bar: 1 cm.
Fig. 2 in Tooth Histology of the ParareptileSoturnia caliodonfrom the Upper Triassic of Rio Grande do Sul, Brazil
Fig. 2. The procolophonid Soturnia caliodon Cisneros and Schultz, 2003, UFRGS PV1112T, from the Norian (Upper Triassic) Caturrita Formation of Rio Grande do Sul, Brazil. A. Enamel and primary dentine from the apical region of m2. B. Enamel and primary dentine from the region between the apex and the cervix of m2. The slightly sigmoid curvature of the crystallites is highlighted by a dashed line. C. Primary and secondary dentine in the anterior portion of the cervical region of m2. Note the irregular primary dentinal tubules compared to those in the apical region (A and E). D. Attachment bone in the posterior region of the base of m2. E. Primary dentine in the apical region of m2. F. Tooth implantation in m1 and part of m2. Attachment bone, characterized by globular or irregular bone cell lacunae, is predominant in the reddish areas of the photograph. Dentine is shown in blue, note some small amounts of pedicle dentine within the dentary bone. Dentary bone tissue, represented in yellow and orange, showing predominance of elongated and anteroposteriorly directed bone cell lacunae. The apex is placed to the left in B and C. All photographs taken using polarized light.
Fig. 1 in Tooth Histology of the ParareptileSoturnia caliodonfrom the Upper Triassic of Rio Grande do Sul, Brazil
Fig. 1. The procolophonid Soturnia caliodon Cisneros and Schultz, 2003, UFRGS PV1112T, from the Norian (Upper Triassic) Caturrita Formation of Rio Grande do Sul, Brazil. Partial left maxilla and mandible, before preparation (A), and during initial stages of preparation (B). C. I2 (to the left) and M1 (to the right), showing the limits of tooth morphogenetic fields (indicated by arrows), reticular bone tissue, fragmentary dentine, indicating tooth resorption in M1. D. A pronounced secondary dentine pulp deposition (indicated by an arrow) in m2. E. m1, note that enamel is completely absent in the cervix. F. Portion of m2 crown, showing the transition of thick enamel in the apex (to the top) to a very thin enamel close to the cervix (to the bottom). G. M1, M2, m1 and m2. Note remnant dentine fragments in most of M1. A–D in labial view, anterior is to the left. E–G in lingual view and under polarized light.
Fig. 5 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 5. Mean waterborne (A) iron and (B) manganese in various cities of Rio Grande do Sul in the period of 1996 to 2011 (Source CORSAN/RS).
Fig. 3 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 3. Water alkalinity in different cities of Rio Grande do Sul in the period of 1996 to 2011 (A) mean, (B) minimum and (C) maximum values (Source CORSAN/RS).
Fig. 1 in Freshwater parameters in the state of Rio Grande do Sul, southern Brazil, and their influence on fish distribution and aquaculture
Fig. 1. Water pH in different cities of Rio Grande do Sul in the period of 1996 to 2011 (A) mean, (B) minimum and (C) maximum values (Source CORSAN/RS).
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.