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Fig. 1 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 1. "Littoridina" santiagensis Biese, 1944. A. The only drawings of a specimen of the species taken from the original description by Biese (1944). B. Lectotype housed at the Museo Nacional de Historia Natural, Santiago, Chile (MNHNCL) (after Collado et al. 2011).
Fig. 5 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 5. Bayesian tree based on COI sequences. Numbers at nodes indicate posterior probability values (only given if Ż 0.95). Names in bold refer to new sequences reported in this paper. Numbers following taxa refer to GenBank sequences.
Fig. 10 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 10. Left scapula of Lentiarenium cristolii (Fitzinger, 1842) (OLL 1854/327). A. In lateral view. B. In medial view. Scale bar = 2 cm.
Fig. 2 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 2. Cranium of Lentiarenium cristolii (Fitzinger, 1842) (OLL 1926/394) in dorsal view. A. Photograph. B. Drawing. White areas indicate either missing or reconstructed parts. Scale bar = 2 cm.
Fig. 6 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 6. Mandibles of Lentiarenium cristolii (Fitzinger, 1842). A. Photograph of OLL 1939/257 (holotype of "Halitherium" abeli (Spillmann, 1959)) in occlusal view. B. Outline drawing of OLL 2012/1 (lectotype) in left lateral view revealing information on the medial side of the right mandible. Dashed lines indicate broken parts. Both outlined (A) and shaded (B) areas indicate either missing or reconstructed parts. Scale bars = 2 cm.
Fig. 9 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 9. Outline drawings of the left humerus LI 2012/4 and the xiphisternum OLL 2012/5 of Lentiarenium cristolii (Fitzinger, 1842). A. Humerus in posterior view. B. Humerus in anterior view. C. Xiphisternum in ventral view. Shaded areas indicate missing parts. Scale bars = 1 cm.
Fig. 5 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 5. Parietal-supraoccipital skullcap of Lentiarenium cristolii (Fitzinger, 1842) (OLL 1899/11, holotype of "Halitherium" pergense (Toula, 1899)). A. Drawing in dorsal view. B. Photograph in caudal view. White areas indicate either missing or reconstructed parts. Dashed lines pertain to broken parts. Scale bar = 1 cm.
Fig. 8. The right upper molars M1–M3 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 8. The right upper molars M1–M3 of Lentiarenium cristolii (Fitzinger, 1842) occlusal view. Scale bar = 1 cm.
Fig. 7 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 7. Mandibles of Lentiarenium cristolii (Fitzinger, 1842) in right lateral views. A. OLL 2012/1 (lectotype). B. OLL 1939/257 (holotype of "Halitherium" abeli). Outlined areas of the ascending mandibular rami (amr) indicate either missing or reconstructed parts. Scale bar = 2 cm.
Fig. 1 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 1. Geographic and geologic overview of the Linz region, including the localities of St. Georgen/ Gusen, Perg and Wallsee. Asterisk indicates approximate type locality of Lentiarenium cristolii (Fitzinger, 1842).
Fig. 4 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 4. Cranium of Lentiarenium cristolii (Fitzinger, 1842) (OLL 1926/394). A. In caudal view. B. In right lateral view. Shaded area indicates either missing or reconstructed part. Scale bars = 2 cm.
Fig. 3 in A taxonomic and morphological re-evaluation of "Halitherium" cristolii Fitzinger, 1842 (Mammalia, Sirenia) from the late Oligocene of Austria, with the description of a new genus
Fig. 3. Cranium of Lentiarenium cristolii (Fitzinger, 1842) (OLL 1926/394) in ventral view. A. Photograph. B. Drawing. White areas indicate either missing or reconstructed parts. Scale bar = 2 cm.
Supplementary material 1 from: Motloung R, Robertson M, Rouget M, Wilson J (2014) Forestry trial data can be used to evaluate climate-based species distribution models in predicting tree invasions. NeoBiota 20: 31-48. https://doi.org/10.3897/neobiota.20.5778
Current and potential distributions of sixteen species that are not widespread in southern Africa arranged on the basis of their suitable range size : a) Acacia paradoxa, b) A. cultriformis, c) A. falciformis, d) A. pendula, e) A. rubida, f) A. stricta, g) A. retinodes, h) A. fimbriata, i) A. aneura, j) A. viscidula, k) A. acuminata, l) A. adunca, m) A. binervata, n) A. schinoides, o) A. prominens, p) A. mangium. The grey shading indicates areas that SDMs have identified as suitable by SDMs while the white ones are unsuitable.
CheckMyBlob evaluation data set (CL)
<p>A data set of ligands used to evaluate the CheckMyBlob method, described in the Kowiel et al. paper "<em>Automatic recognition of ligands in electron density by machine learning methods</em>".</p> <p>This data set repeats the setup used in the study of Carolan & Lamzin titled "<em>Automated identification of crystallographic ligands using sparse-density representations</em>". It consists of ligands from X-ray diffraction experiments with 1.0–2.5 Å resolution. Adjacent PDB ligands were not connected. Ligands were labeled according to the PDB naming convention. The data set was limited to the 82 ligand types listed by Carolan & Lamzin. The resulting data set consists of 121,360 examples with ligand counts ranging from 42,622 examples for SO4 to 16 for SPO (spheroidene).</p> <p>For machine learning (classification) purposes, the target attribute is: <strong>res_name</strong>.</p>
CheckMyBlob evaluation data set (TAMC)
<p>A data set of ligands used to evaluate the CheckMyBlob method, described in the Kowiel et al. paper "<em>Automatic recognition of ligands in electron density by machine learning methods</em>".</p> <p>This data set attempts to repeat the experimental setup from Terwilliger <em>et al.</em> described in "<em>Ligand identification using electron-density map correlations</em>". It consists of ligands from X-ray diffraction experiments with 6–150 non-H atoms. Connected PDB ligands were labeled as single alphabetically ordered strings of hetero-compound codes, whereas unknown species, water molecules, standard amino acids, and nucleotides were excluded. Finally, the data set was limited to 200 most popular ligands. The resulting data set consisted of 161,758 examples with individual ligand counts ranging from 36,535 examples for GOL (glycerol) to 114 for LMG (1,2-distearoyl-monogalactosyl-diglyceride).</p> <p>For machine learning (classification) purposes, the target attribute is: <strong>res_name</strong>.</p>
Research Management Systems: Systematic Mapping of Literature (2007-2017) - Number of articles included during the search and qualitative evaluation process of the study
<p>This image is uploaded as an integrated part of systematic mapping of literature "Research Management Systems: Systematic Mapping of Literature (2007-2017)". This image will be cited across all future publications related to this project as Attribution-NonCommercial-NoDerivatives 4.0 International image.</p>
The NUIST Earth System Model (NESM) version 3: Description and preliminary evaluation
<p>The model code and necessary data: NESMv3_gmd.tar.gz.</p> <p>The model manual :Using NESM v3 model.pdf</p> <p>The reference: Reference.tar.gz</p>
Figure 6. One chromosome from the population and the five chromosomes existing in the evaluation partition.-Genetic Algorithms Principles Towards Hidden Markov Model
<p>For example comparing the<br> chromosome given in Figure 6 with the first chromosome in the evaluation partition, the<br> difference between the relation Med-Med and Med-High as a pair is 0.0 and the difference<br> between the relation High-High and High-Med as a pair is 0.1. Similarly the difference between<br> the relation Med-Cold and Med-Hot as a pair is 0.1 and the difference between the relation<br> High-Cold and High-Hot as a pair is 0.2. We sum all these differences to get the value of<br> compare(i,j), the sum value is 0+0.1+0.1+0.2 = 0.4. Using the same approach we compute the<br> compare function with the other four chromosomes and we get values 0.4, 0.5,0.4 and 0.6. Now<br> we sum the five values 0.4 + 0.4 + 0.5+ 0.4 +0.6 = 2.3. The fitness value is then 1/ 2.3 = 0.434.<br> The highest is the fitness value, the better is the performance of the chromosome.</p>
Data from evaluation of the WHO ICFP2022 Scientific Writing, Mentoring and Coaching Course
<p>Data from the evaluation of the WHO ICFP 2022 scientific writing, mentoring and coaching course.</p> <ol> <li>Dataset includes responses from 49 participants and 12 coaches who responded to a questionnaire about their experience and engagement with the post conference coaching course</li> <li>Dataset includes responses from participants and mentors who attended the ICFP2022 in-conference workshop and mentoring program</li> </ol>
FIG. 3 in A morphological re-evaluation of the taxonomic status of Satureja L. (Lamiaceae, Nepetoideae, Mentheae) from flora of Iran
FIG. 3. — Herbarium specimen of Satureja avromanica Maroofi collected from the type locality (Maroofi, Mardani & Moradi 7192).
ScienceDex guides
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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.