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.
1,104
datasets available to search
ShareScore release 0.9.0
Dataset results
1,104 results for “morphological variation”
Morphometric data from: Incongruent molecular and morphological variation in the crab spider Synema globosum (Araneae: Thomisidae) in Europe
<p>Here we provide the complete set of files used by <a href="https://doi.org/10.3897/zookeys.1078.64116">Urfer et al. (2021</a>, see References section below for the complete citation of the publication) for the morphometric and the molecular analysis. In particular, we provide the following documents:</p> <p><br> PART 1: MORPHOMETRIC ANALYSIS</p> <p>- 1_Synema_data_multiple_imputation_mice.R: R-script used for replacing NAs.</p> <p>- 1_Synema_data_NA_imputed.csv: Dataset with raw values (in millimeters) of all 28 specimens used for the morphometric analysis. Each specimen was measured 4 times. NAs replaced using the R-script "Synema_multiple_imputation_mice.R" above. This is the datafile used for all morphometric analyses.</p> <p>- 1_Synema_data_with_NA.csv: Dataset with raw values (in millimeters) of all 28 specimens. Each specimen was measured 4 times. NAs not replaced.<br> <br> - 1_Synema_Reliability.R: R-script for calculating reliability.<br> <br> - 1_Synema_Reliability_supplementary_figure.pdf: Results of reliability analysis presented in a bar plot.</p> <p>- 1_Synema_Reliability_supplementary_table.txt: Results of reliability analysis presented in a table.<br> <br> - 1_Synema_Shape_PCA_and_PCA_Ratio_Spectrum.R: R-script for calculating the shape PCA and the PCA Ratio Spectrum of the first shape PC. You may get the necessary MRA source script from http://doi.org/10.5281/zenodo.4250142<br> <br> - Synema_globosum_AR9379_PV.jpg, Synema_globosum_AR9379_PV.jpg, Synema_globosum_AR9379_PV.jpg, etc.: Photographs taken with a LEICA M205 C stere-omicroscope.</p> <p> 1. Numbers after AR_ refer to the inventory number of the specimens in the Natural History Musuem Bern (NMBE). The specimen number was also used in the data file.<br> 2. The photo named "Synema_globosum_AR9163_with_measurements" shows the position of the measurements. Otherwise, the measurements are not indicated in the raw photos.</p> <p><br> Example image Character name Definition<br> Synema_globosum_AR9163_with_measurements cym.l Cymbium lenght Distance of the anterior margin to the tip of the cymbium<br> Synema_globosum_AR9163_with_measurements cym.b Cymbium breadth widest breadth of the cymbium<br> Synema_globosum_AR9163_with_measurements bul.b Bulb breadth widest breadth of the genital bulbus<br> Synema_globosum_AR9163_with_measurements tib.b Tibia breadth breadth of the tibia base at the patella joint</p>
Supplementary Materials for 'Measuring and assessing indeterminacy and variation in the morphology-syntax distinction'
<p><strong>Supplementary materials for the article 'Measuring and assessing indeterminacy and variation in the morphology-syntax distinction' in <em>Linguistic Typology </em>(Vol. and No. TBD).</strong></p> <p>Abstract:</p> <p>We provide a discussion of some of the challenges in using statistical methods to investigate the morphology-syntax distinction cross-linguistically. The paper is structured around three problems related to the morphology-syntax distinction; (i) the boundary strength problem; (ii) the composition problem; (iii) the architectural problem.<br> The boundary strength problem refers to the possibility that languages vary in terms of how distinct morphology and syntax are or the degree to which morphology is autonomous. The composition problem refers to the possibility that languages vary in terms of how they distinguish morphology and syntax: what types of properties distinguish the two systems. The architecture problem refers to the possibility that languages vary in terms of whether a global distinction between morphology and syntax is motivated at all and the possibility that languages might partition phenomena in different ways.<br> This paper is concerned with providing an overarching review of the methodological problems involved in addressing these three issues. We illustrate the problems using three statistical methods: correlation matrices, random forests with different choices for the dependent variable, and hierarchical clustering with validation techniques.</p> <p> </p> <p>Overview of materials:</p> <ul> <li>SM1: csv with the data</li> <li>SM2: code and pdf for generating the correlation matrices</li> <li>SM3: code and pdf for the random forest analyses</li> <li>SM4: code and pdf for the clustering and cluster validation analyses</li> </ul>
Hydrodynamic and morphological information, and the absolute variations of the vulnerability indices for the period 2000-2015 of the Spanish Iberia Peninsula estuaries.
<p>The dataset included in this repository was obtained during the project entitled 'Sensibilidad física y biotic de los estuarios peninsulares al cambio global (SENSES)' funded by 'Fundación Biodiversidad', PRCV00487. The data were used in the research article 'Sensitivity of Iberian estuaries to changes in sea water temperature, salinity, river-flow, mean sea level, and tidal amplitudes' submitted to <em>Estuarine, Coastal and Shelf Science</em>.</p> <p>Brief description of dataset:</p> <p>For each estuary, the following parameters were calculated</p> <ul> <li>Fachade: the location of the estuary</li> <li>Area (km<sup>2</sup>) </li> <li>D (m): water depth at the mouth of the estuary in 2000 and 2015</li> <li>Tidal Prim (m<sup>3</sup>)</li> <li>Q<sub><em>f</em></sub> (m<sup>3</sup>/s): river flow in 2000 and 2015</li> <li><em>a </em>(m): tidal amplitude of the free surface elevation in 2000 and 2015</li> <li>∆<em>U</em> (m/s): absolute variation of the tidal current amplitude between 2000 and 2015</li> <li>∆<em>E</em> (W/m<sup>2</sup>): absolute variation of the tidal energy flux propagation index between 2000 and 2015</li> <li>∆<em>Ri </em>: absolute variation of the bulk Richardson number index between 2000 and 2015</li> <li>∆<em>SI</em>: absolute variation of the salinity intrusion index between 2000 and 2015</li> </ul> <p>A wide description of the parameters can be found in Serrano, M. A. et al (submitted to <em>Estuarine, Coastal and Shelf Science</em>)</p> <p>Contact person: mserranog@ugr.es</p>
Fig. 6 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 6. Scatter plot of PCA results on shape variables of the (A) ventral, (B) dorsal and (C) lateral sides of Meriones crassus Sundevall, 1842 specimens. Legends: ○ = Iranian Plateau, ● = Western Zagros, * = Kuwait, Δ = Arabian, ▲ = Jeddah, □ = Jordan/NW Arabia, ■ = African. Deformation grids (two times magnified) along the first principal components, representing shape differences between configurations corresponding to minimal and maximal scores, are shown to the right of each plot. For the numbering of landmarks, see Fig. 2.
Fig. 4 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 4. Scatter plot of the CVA results of the (A) ventral and (B) dorsal shape data of Meriones crassus Sundevall, 1842 (two groups) and M. libycus Lichtenstein, 1823. Legends: ○ = M. crassus (other than Western Zagros), ● = M. crassus of Western Zagros, □ = M. libycus. The grids below show deformation along the arrows, when moving from the M. crassus group mean shape to the Western Zagros group mean shape (A1 and B1), and from the M. libycus mean shape to the mean shape of the Western Zagros (A2 and B2) (shape differences magnified three times for better visualization). For the numbering of landmarks, see Fig. 2.
Fig. 3 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 3. Scatter plot of RW1 versus RW2 of the (A) ventral and (B) dorsal cranium of Meriones crassus Sundevall, 1842 and M. libycus Lichtenstein, 1823. Legends: ○ = M. crassus (other than Western Zagros), ● = M. crassus of Western Zagros, □ = M. libycus. Below: thin-plate spline deformation grids visualize shape variation as expressed by the first two RWs axes (grids represent shape difference between configurations corresponding to lowest and highest RW-values). For the numbering of landmarks, see Fig. 2.
Fig. 7 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 7. CVA scatter plot (axes 1 and 2) on shape variables of the (A) ventral, (B) dorsal and (C) lateral side of the Meriones crassus groups (Jeddah group not included). Legends: ○ = Iranian plateau, ● = Western Zagros, Δ = Arabian and ■ = African. Grids show deformation (3 x magnified) when following the trajectory within the morphospace along the arrows and between the groups' consensus (from African to Western Zagros – A1, B1 and C1; and from Iranian plateau to Western Zagros – A2, B2 and C2). For the numbering of landmarks, see Fig. 2.
Fig. 1 in Cranial phenotypic variation in Meriones crassus and M. libycus (Rodentia, Gerbillinae), and a morphological divergence in M. crassus from the Iranian Plateau and Mesopotamia (Western Zagros Mountains)
Fig. 1. Map showing the sampling localities of Meriones crassus Sundevall, 1842 (circles) and M. libycus Lichtenstein, 1823 (squares) and groups of sampling localities indicated by ellipses (see more detail about the grouping in Material and Methods). The dark closed symbols are the sampling localities of the type specimens (synonyms of Meriones crassus and M. libycus, see Table 1). The ellipses (from left to right) show the following groups: African, Jeddah, Arabian, Western Zagros and Iranian Plateau.
Figure 5 in Geographic distribution, host plants, and morphological variation of the currently radiating phytophagous ladybird beetle Henosepilachna diekei
Figure 5. Elytra height of seven populations of Henosepilachna diekei. (A) Females; (B) males. The host plants were denoted in the parentheses as M, Mikania; L, Leucas; D, Dicliptera; P, Plectranthus. The different letter on the right shoulder of each box indicates significant difference (P <0.05) after adjustment of P-value for multiple comparisons (NS, P ≥ 0.05).
FIGURE 7 in Hodgson, C. et al. (2008) Phenacoccus solenopsis Tinsley (Sternorrhyncha: Coccoidea: Pseudococci- dae), an invasive mealybug damaging cotton in Pakistan and India, with a discussion on seasonal morphological variation. Zootaxa, 1913, 1-35.
FIGURE 7. First-instar nymph of Phenacoccus solenopsis Tinsley from Pakistan and India. Labels as in Fig. 1.
Figure 78 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 78. Bemisia afer complex, Madeira, Santana, Faja do Niguiera, 15-XII-92, ex. Myrica toya, F. Aguiar, coll.
Figure 77 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 77. Bemisia afer complex, Madeira, Faja do Penedo, 20.iii.92, ex. Marcetella madeirensis, F. Aguiar, coll., #C136.
Figure 79 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 79. Bemisia afer complex, Madeira, Levada above Ribeiro Bonita, nr. Sao Jorge Icod de los Vinos, 01 Apr. 1995, ex. Sibthorpia peregrina (Scrophulariaceae), J. Martin and A. Aguiar, colls., JHM # 6590.
Figure 76 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 76. Bemisia afer complex, Madeira, Faja do Penedo, 20-iii-1992, ex. Marcetella madeirensis, F. Aguiar, coll. # C136.
Figure 71 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 71. Bemisia afer complex, Canary Islands, Tenerife, Barranco de las Moradas, ex. Eschium sp., J. Martin, coll., JHM # 7048.
Figure 70 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 70. Bemisia afer complex, Canary Islands, Tenerife, Barranco de los Moradas, nr. Icod de los Vinos, approx 700-900 m., 18 May 1997, ex Rubus fruticosus grp., J.H. Martin, coll., JHM #7047.
Figure 69 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 69. Bemisia afer complex, Canary Islands, La Palma, Ctr. Barbuento, ex. Rubus sp., 21-VI-1997, E. Hernandez-Suarez, coll.
Figure 68 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 68. Bemisia afer complex, Canary Islands, Tenerife, Barranco, de las, Moradas, nr., Icod de los Vinos, at 7-900m, 18 May 1997, ex. Cistus sp., J. Martin, coll., JHM # 7046.
Figure 67 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 67. Bemisia afer complex, Canary Islands, Tenerife: Guimar, Bco de Badajos, 25 Nov. 2000, ex. Bencomia caudata, -upper surfaces, J.H.Martin, coll.
Figure 74 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 74. Bemisia afer complex, Madeira, Seixal, 6-III-92, ex. Ocotea foetens., (Lauraceae), F. Aguiar, coll. #C125.
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.