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.
165
datasets available to search
ShareScore release 0.9.0
Dataset results
165 results for “Mimosa”
Fig. 4. – Mimosa sensitiva L. var. sensitiva. A in Tipificaciones y Sinonimia en el Género Crumenaria Mart. (Rhamnaceae) de la Flora del Paraguay
Fig. 4. – Mimosa sensitiva L. var. sensitiva. A. Rama florífera; B. Detalle de margen de folíolo; C. Flor.
Figure 4 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 4: Mimosa diplotricha invasions in southern Tanzania (top row), northern Malawi (middle row), and western Ethiopia (bottom row).
Figure 3 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 3: Map showing the location of Malawi in Africa (inset) and Karonga District in Malawi where the socio-economic surveys were undertaken.
Figure 2 in Distribution of Mimosa diplotricha in eastern and southern Africa and its socio- ecological impacts in northern Malawi
Figure 2: Map showing the current known distribution of Mimosa diplotricha in eastern and southern Africa (~55 km × 55 km/ half degree grid cells) using data collected in this study and other sources of information. Grey grid cells show areas surveyed; red grid cells indicate areas where Mimosa diplotricha was found to be invasive (widespread and/or abundant); orange cells where it was present and/or naturalised; and yellow cells where it was recorded with no other information.
Figura 4 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 4. Madeira de M. scabrella oriunda de Lages (33/13), Curitibanos (34/13), Santo Antônio do Palma (35/13). A. Curvas termogravimétricas (TGA); B. derivada da curva termogravimétrica (DTG)
Figura 3 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 3. Espectros FTIR de madeira de oriunda de M. scabrella de três procedências. Sendo 33/13: Lages, 34/13: Curitibanos, 35/13: Santo Antônio do Palma.
Figura 2 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 2. Morfologia no plano transversal de amostras de madeira de bracatinga oriundas de Lages, SC (33/13), Curitibanos, SC (34/13), Santo Antônio do Palma, RS (35/13). Em que setas indicam os poros da madeira em cada procedência.
Figure 2 in Production of Honeydew by Scale Insects Associated with Bracatinga (Mimosa scabrella Benth) in Serra Catarinense, Southern Brazil
Figure 2 Instantaneous volume available per drop of honeydew (µl) (bars) and sugar concentration (%) (line). Average values of the volume and concentration of sugars during the three evaluation years (Fig. A). Average values of honeydew volume and sugar concentration over the months of 2002 (Fig. B), 2003 (Fig. C) and 2004 (Fig. D). No evaluations were carried out in January, November and December 2002; January, February, April and November 2003; or March, November and December of 2004. Capital letters in bars and lower letters in lines refer to the mean test for the volume and concentration of honeydew sugars, respectively. Means followed by the same letter (uppercase or lowercase) indicate that the values do not differ significantly (SNK = 0.05).
Figure 1 in Production of Honeydew by Scale Insects Associated with Bracatinga (Mimosa scabrella Benth) in Serra Catarinense, Southern Brazil
Figure 1 Studied Bracatingal, Bom Retiro, SC,Brazil (A), bracatinga plant (Mimosa scabrella Benth.) (B), trunk of bracatinga infested by scale insects (C), and detail of trunk showing anal filaments of excretion of the scale insect (D and E). WF: wax filament; HD: honeydew drop. Photo: Maritza Martins.
Fig. 1 in Density and egg parasitism of stink bugs (Hemiptera: Pentatomidae) in mimosa
Fig. 1. Mean number of C. hilaris egg masses, nymphs, and adults on mimosa over time in 2013, 2014, 2015, 2017, and 2018, and percentage of senesced pods over time in mimosa in 2017 and 2018. G = green pod; S = senesced pod; s = small-sized seeds in pods; M = medium-sized seeds in pods; L = large seeds in pods.
Linked collectors and determiners for: Modelación de la distribución real y potencial de especies de dos géneros de Mimosoideae: Mimosa y Prosopis (Leguminosae) en México (Mimosa).
Natural history specimen data linked to collectors and determiners held within, "Modelación de la distribución real y potencial de especies de dos géneros de Mimosoideae: Mimosa y Prosopis (Leguminosae) en México (Mimosa)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7162b803-bde2-4196-9383-263ba6dc9ad3">https://bionomia.net/dataset/7162b803-bde2-4196-9383-263ba6dc9ad3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7162b803-bde2-4196-9383-263ba6dc9ad3">https://gbif.org/dataset/7162b803-bde2-4196-9383-263ba6dc9ad3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Modelación de la distribución real y potencial de especies de dos géneros de Mimosoideae: Mimosa y Prosopis (Leguminosae) en México (Prosopis).
Natural history specimen data linked to collectors and determiners held within, "Modelación de la distribución real y potencial de especies de dos géneros de Mimosoideae: Mimosa y Prosopis (Leguminosae) en México (Prosopis)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2d21ceb2-e459-4025-a62f-6b65c494de47">https://bionomia.net/dataset/2d21ceb2-e459-4025-a62f-6b65c494de47</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2d21ceb2-e459-4025-a62f-6b65c494de47">https://gbif.org/dataset/2d21ceb2-e459-4025-a62f-6b65c494de47</a>. Formatted as a Frictionless Data package.
Figura 8 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 8. Germinação e desenvolvimento de Mimosa scabrella (1º ao 10º dia). Barra = 1 cm.
Figura 2 in Morfometria de frutos e sementes e desenvolvimento pós-seminal de Mimosa scabrella
Figura 2. Frequência relativa para número de artículos por fruto de Mimosa scabrella.
Figura 1 in Caracterização da madeira de Mimosa scabrella para seleção de árvores matrizes
Figura 1. Imagem ilustrativa da posição de corte das árvores selecionadas.
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify CpG site-phenotype associations
<p>MIMOSA DNA methylation prediction models, set up for MWAS. To run MWAS with this resource, see the tutorial here: <a href="https://github.com/ChongWuLab/MIMOSA">https://github.com/ChongWuLab/MIMOSA</a></p>
Santa Rita Experimental Range site, station Pasture 22 at Santa Rita Experimental Range, study of plant cover of Mimosa dysocarpa (velvetpod mimosa) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mimosa dysocarpa (velvetpod mimosa) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 2S at Santa Rita Experimental Range, study of plant cover of Mimosa dysocarpa (velvetpod mimosa) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mimosa dysocarpa (velvetpod mimosa) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 2S at Santa Rita Experimental Range, study of plant density of Mimosa dysocarpa in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant density of Mimosa dysocarpa measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 6A at Santa Rita Experimental Range, study of plant cover of Mimosa dysocarpa (velvetpod mimosa) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mimosa dysocarpa (velvetpod mimosa) measurements in percent units and were aggregated to a yearly timescale.
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.