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Fig. 5 in A practical, step-by-step, guide to taxonomic comparisons using Procrustes geometric morphometrics and user-friendly software (part A): introduction and preliminary analyses
Fig. 5 (next page). Examples of ME. a. Suspected bias due to a time lag in the data collection. The scatterplots (a2-a3) are ordinations of 3D cranial shapes in a large sample of African adult men; above the ordinations (a1), the mean shape differences between green (first round of data collection, N = 377) and blue (second round, N = 161) groups are shown (magnified five times) in dorsal, side and frontal views. In the PCA (a2) there is a small amount of separation between 'green' and 'blue' on PC2 (variance explained in parentheses). In the DA (a3), the 'green-blue' separation on the horizontal axis (DF1, with, in parentheses, the between group variance explained) is almost perfect despite the fact that groups, whose differences are being maximized in this plot, are in fact the real 32 geographic populations (shown using convex hulls - see main text). b. PC1-2 scatterplots of adult 3D craniofacial shapes in a European sample of adult women (N = 351, shown in pink) and men (N = 380, in blue). The configuration is smaller and different from the one in (a). Above the scatterplots, the shape corresponding to the positive extreme of PC1 (variance explained in parentheses) is shown, in dorsal view, using displacement vectors (b1-b2). The scatterplot to the left (b3) is the full landmark configuration, whereas the one to the right (b4) has euryon removed. Euryon dominates PC1 differences (b3) in the full configuration (b1). After removing it (b2), not only there is no landmark that dominates variation on PC1 (b4), but also the separation of females and males disappears and (see main text) the shape variance accounted for by sex drops from 6% to 3%. c. PC1-2 scatterplot (variance explained in parentheses) of marmot mandibular shape using the reduced landmark configuration in real (c1) and simulated (c2) samples of hoary marmots and woodchucks. The simulated data are obtained by adding to the original shape coordinates large random gaussian noise (SD = 0.05) before Procrustes re-superimposing the data. Random noise (c2) completely obliterates the real differences (c1) and brings the F ratio and Rsq from F = 38 and Rsq = 20%, in the real data, to F = 2 and Rsq = 0.8% in the simulated ones. In both datasets, the tangent space approximation (assessed in TPSSmall) in the real data (c1) produces a correlation of one between shape distances; however, whereas the slope of the least square regression (tangent space Euclidean shape distances onto Procrustes shape distances) is one in the real data, it is 0.97 in the simulated ones, which suggests an almost problematically large amount of shape variance in this second dataset.
Dataset for 'The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track'
<p>This packages comprises of analyses and evaluations of 60 datasets from the NeurIPS Datasets and Benchmarks track. It is part of a paper currently under review at the 2024 the NeurIPS Datasets and Benchmarks track, titled, "The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track". </p>
Figure 1 in Novel tools and best practices for education about invasive alien species
Figure 1. On the right: Franz Josef Glacier School student recording a European alder (Alnus glutinosa) sapling using the iNat app, New Zealand (Photo: Murray Dawson). On the left: High school students measuring tree diameter in an urban park, Portugal (Photo: Hélia Marchante) and the excavation of Bohemian knotweed (Fallopia bohemica) during a KORINA science camp, Germany (Photo: Katrin Schneider).
Figure 3 in Relationship between weedy rice (Oryzo sotivo) infestation level and agronomic practices in Italian rice farms
Figure 3. Relative importance of each variable in the clustering, as identified by the two-step cluster analysis. Variable scoring 1 represents the most important variable in the cluster formation.
Figure 2 in Relationship between weedy rice (Oryzo sotivo) infestation level and agronomic practices in Italian rice farms
Figure 2. Percentage of rice farms with different Oryzo sotivo infestation levels (low, medium, and high) on the basis of the adopted cultivation practices. (A) Total farm area and average farm area per class; (B) total farm area cultivated with ClearfieldṜ (CL) varieties and average farm area per class; (C) tillage; (D) sowing; (E) water management; (F) seed origin; (G) crop rotation; (H) stale seedbed; (I) imazamox use; and (J) O. sotivo resistance to imazamox.
Fig. 6 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 6 Further examples of relatively recent Zagros mid-Cretaceous biozonation schemes that utilize larger benthic foraminifera. No numerical scaling of the geological timescale is implied. The age assignments and taxonomic nomenclature are often outdat- ed, and the uncertainty precludes precise calibration of stage boundaries and the precise relationship of one zonal scheme to another.
Fig. 4 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 4 Morphological variability (apical angle, test height and diameter) of the late Aptian – middle Albian Mesorbitolina texana (Roemer). a late Aptian Taft Formation of Central Iran. b late Aptian of Lebanon (from Schroeder and Neumann, 1985, pl. 36, fig. 2, topotype of Orbitolina discoidea var. libanica Henson; coll. F.R.S. Henson). Also note the convex test base in a and the central depression in b with a few final annular chambers.
Fig. 5 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 5 Examples of relatively recent Zagros mid-Cretaceous biozonation schemes that utilize larger benthic foraminifera. No numerical scaling of the geological timescale is implied. The age assignments and taxonomic nomenclature are often outdated, and the uncertainty precludes precise calibration of stage boundaries and the precise relationship of one zonal scheme to another.
Fig. 2 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 2 Lower- to mid-Cretaceous Orbitolinidae from Iran. a Subaxial section of Mesorbitolina sp. or Orbitolina sp. (= Dictyoconus pachymarginalis Schroeder in Dehghanian and Afghah, 2021, Fig. 7.4, Albian Kazhdumi Formation SW Iran). b–c Dictyoconus? pachymarginalis Schroeder, subaxial sections, Aptian Taft Formation, Central Iran. d "Dictyoconus pachymarginalis Schroeder" axial section (extracted from Afghah et al., 2014, fig. 11A), Cenomanian Sarvak Formation of SW Iran. e–f Persiconus sarvaki Yazdi-Moghadam & Schlagintweit, axial and tangential sections, Cenomanian Sarvak Formation of SW Iran.
Fig. 1 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 1 Optimal and sub-optimal workflows for the identification of larger benthic foraminifera. Following a review of identification, the identity of a specimen can be confirmed or downgraded to a non-specific identity. If the identification is confident based on morphological features, stratigraphic range extension is possible, but should be evaluated carefully if the vast majority of well-established records suggest a different age.
Fig. 3 in Developing Best Practice In Micropalaeontology: Examples From The Mid-Cretaceous Of The Zagros Mountains
Fig. 3 Early – mid-Cretaceous Zagros biozonations (mostly assemblage zones or biofacies) utilising larger benthic foraminifera. The Wynd (1965) zonation and Sissingh (1977) zonations are based on data presented in Motiei (1993). Sampò (1969) and Kalantari (1976) are published schemes, whilst that of Ammen & Gharib (2014) is a scheme using more modern taxonomic concepts. LAD = Last Appearance Datum. FAD = First Appearance Datum. s.l. = sensu lato. No numerical scaling of the geological timescale is implied. The age assignments and taxonomic nomenclature are often outdated, and the uncertainty precludes precise calibration of stage boundaries and the precise relationship of one zonal scheme to another.
Supporting materials for the methodology for optimal combinations of agroecological practices (AEPs)
<p><span>The assessment framework is developed by first reviewing existing agroecological sustainability assessment tools. Indicators are collected based on literature review. Then they are synthesized into the holistic agroecology assessment framework. New indicators are developed during the project and are also used to address any context-specific data needs or cover gaps of the existing tools. </span></p>
Methodology for optimal combinations of agroecological practices (AEPs)
<table> <tbody> <tr> <td>The assessment framework is developed by first reviewing existing agroecological sustainability assessment tools. Indicators are collected based on literature review. Then they are synthesized into the holistic agroecology assessment framework. New indicators are developed during the project and are also used to address any context-specific data needs or cover gaps of the existing tools.<span> </span></td> </tr> </tbody> </table>
Figure 4 in Relationship between weedy rice (Oryzo sotivo) infestation level and agronomic practices in Italian rice farms
Figure 4. The three clusters identified in the two-step cluster analysis and the composition of each cluster for all the variables that contributed to clustering. The size of the circle and percentages close to each circle represent the proportion of farms pertaining to a certain category of each variable. The percentage of farms belonging to each cluster is reported in parentheses following the cluster name. (A) Cluster 1; (B) cluster 2; and (C) cluster 3.
FIGURE 7 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 7. Boxplot of yield difference over area index by hiatus class. Note the median for each hiatus class is close to zero. This indicates similar amounts of collection between the earlier year and the later year regardless of the number of years the area has been left to erode.
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 (yellow), 2009 (green), and 2010 (blue). Precise locality information is available to qualified researchers upon request from JODA's museum program.
FIGURE 9. All field collections from 2013 - early 2019 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 9. All field collections from 2013 - early 2019 to be used for tracking previous collection area. Points outside of JODA boundaries are BLM, USFS, or private localities. Precise locality information is available to qualified researchers upon request from JODA's museum program.
Towards suitable practices for the integration of social life cycle assessment into the ecodesign framework of hydrogen-related products
<p>The hydrogen sector is envisaged as one of the key enablers of the energy transition that the European Union is facing to accomplish its decarbonization targets. However, regarding the technologies that enable the deployment of a hydrogen economy, a growing concern exists about potential burden-shifting across sustainability<br>dimensions. In this sense, social life cycle assessment arises as a promising methodology to evaluate the social implications of hydrogen technologies along their supply chains. In the context of the European projects eGHOST and SH2E, this study seeks to advance on key methodological aspects of social life cycle assessment when it<br>comes to guiding the ecodesign of two relevant hydrogen-related products: a 5 kW solid oxide electrolysis cell stack for hydrogen production, and a 48 kW proton-exchange membrane fuel cell stack for mobility applications.<br>Based on the social life cycle assessment results for both case studies under alternative approaches, the definition of a product-specific supply chain, making use of appropriate cut-off criteria, was found to be the preferable choice when addressing system boundaries definition. Moreover, performing calculations according to the activity variable approach was found to provide valuable results in terms of social hotspots identification to support subsequent decision-making processes on ecodesign, while the direct calculation approach is foreseen as a complement to ease the interpretation of social scores. It is concluded that advancements in the formalization of<br>such suitable practices could foster the integration of social metrics into the sustainable-by-design framework of hydrogen-related products.</p>
A survey of current practice of data search services
<p>Relevancy ranking is an important component of making a data repository's search system<br> responsive to data seekers’ needs. The <a href="https://www.rd-alliance.org/groups/data-discovery-paradigms-ig">Research Data Alliance (RDA) Data Discovery Paradigms<br> Interest Group</a> is a collaborative activity within our data community which aims to improve data<br> searchability. This survey is intended to gather information about the current practices and lessons<br> learnt by data repositories in implementing relevancy ranking in search systems. We expect that<br> analysis of the survey results will:</p> <ul> <li>Help data repositories choose appropriate technologies when implementing or improving their search functionality;</li> <li>Provide a means for sharing experiences in improving relevancy ranking;</li> <li>Capture the aspirations, successes and challenges encountered from research data repository managers;</li> <li>Help the Data Discovery Paradigms Interest group align future activities on data search improvement with the interests of data search service providers.</li> </ul> <p>For the above the purpose, we designed a survey instrument to answer the following topics (the numbers in brackets indicate the number of questions asked per topic):</p> <ol> <li>What are characteristics of each repositories (5)?</li> <li>What are system configurations (e.g., ranking model, index methods, query methods) (7)?</li> <li>Evaluation methods and benchmark (10) <ul> <li>What has been evaluated?</li> <li>What evaluation methods have been applied?</li> <li>How was the evaluation collection built?</li> <li>What is approximate performance range of search systems with certain configuration?</li> </ul> </li> <li>What methods have been used to boost searchability to web search engines (e.g., Google, Bing) (2)</li> <li>What other technologies or system configurations have been employed (5)?</li> <li>Wish list for future activities for the RDA relevance task force (2)?</li> </ol> <p>Notes: Survey instruments from Version 1 and Version 2 have same questions, but order questions slightly different. Version 2 has the one as instrumented to participants.</p>
Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 8. Functions of the mobile devices used in the practices (Note: Each case could involve the use of more than one function.)
<p>Figure 8 captures the functions of mobile devices used in the practices. The results show that tailor-made applications for specific practices were most common (74%), followed by the use of a speaker (32%) and a camera (26%), where learners had to listen to audio materials using speakers or access online information by scanning QR-codes through cameras. In the various practices, other functions were also used, such as messaging (16%) for interacting with diverse parties and GPS (14%) for outdoor learning activities. For the practices using older models of mobile devices without cameras, tools such as an RFID reader (8%) were used for accessing information via communication tags.</p>
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.