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3,673 results for “practices”

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zenodo28/100

THE INCLUSION PROCESS IN EARLY EARLY EDUCATION: POSSIBILITIES AND CHALLENGES OF THIS PRACTICE IN EVERYDAY EDUCATIONAL

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opencc-by-4.0May 2024View details →
zenodo28/100

COMMUNITY APPROACH IN HEALTH PRACTICES

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opencc-by-4.0May 2024View details →
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Fig. 8 in A practical, step-by-step, guide to taxonomic comparisons using Procrustes geometric morphometrics and user-friendly software (part B): group comparisons

Fig. 8. PC1–PC2 summary scatterplot of species-specific allometric predictions (66% of total allometric shape). As an example, the opposite extremes of the allometric trajectories of yellow-bellied marmots (fla) and woodchucks (mon) are shown (magnified five times) using wireframes and thin plate spline deformation grids, drawn in TPSRelw by 'warping' variation along the regression lines in the PC1–PC2 subspace.

opencc-by-4.0May 2024View details →
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Fig. 6 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. 6. Box and jitter plot of species mandible CS. Red circles mark potential outliers. Species names are abbreviated as shown in Table 2.

opencc-by-4.0May 2024View details →
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Exploring and Analyzing Software Architecture Refactoring in Practice

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opencc-by-4.0Jun 2024View details →
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INTEGRATION OF CHATGPT INTO LEGAL PRACTICE: WHAT ARE THE POTENTIAL RISKS FOR LAW FIRMS?

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opencc-by-4.0Jun 2024View details →
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Validating Instructional Practice Scale (IPS) for University Instructors: Parallel analysis

<p>This is a parallel analysis dataset&nbsp;</p>

opencc-by-4.0Jun 2024View details →
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Figure 1 in Relationship between weedy rice (Oryzo sotivo) infestation level and agronomic practices in Italian rice farms

Figure 1. Italian rice area between Piedmont and Lombardy regions (green area) in which the survey was carried out. Yellow dots represent the farms surveyed.

opencc-by-4.0Dec 2020View details →
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CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios (Artifact)

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opencc-by-4.0Jun 2024View details →
zenodo28/100

FIGURE 8 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 8. Boxplot of last yield over area index by hiatus length. Note the similar mean between all hiatus lengths.

opencc-by-4.0Dec 2020View details →
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FIGURE 4 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 4. Aerial photograph with example measurements of T2.0" and L7.0". Fieldworkers recorded locality data by locating their place on the air photograph, measuring inches from the top and inches from the left, and writing the air photograph number and measurements in field notes.

opencc-by-4.0Dec 2020View details →
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FIGURE 5 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 5. Map of field collection data for Test Area from 1999-2000. Each point represents one field number. Precise locality information is available to qualified researchers upon request from JODA's museum program.

opencc-by-4.0Dec 2020View details →
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FIGURE 2 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 2. Map of Oregon showing the three park units (purple) and the extent of the majority of non-NPS sites worked by JODA paleontologists (green). There are museum collections at JODA from many sites in area highlighted in green. However, many of these sites have not been visited recently. Many of the sites with paleontological resources in the green area are found on lands administered or owned by partners and are scattered across the full area.

opencc-by-4.0Dec 2020View details →
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FIGURE 3 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 3. Map of locality data for cataloged specimens by year collected in one of the five main collection areas. Years correspond to cyclic prospecting schedule outlined in Table 1. Note the overlap between 1993 and 1994 and 1997 and 1998 contrary to the schedule shown in Table 1. Precise locality information is available to qualified researchers upon request from JODA's museum program.

opencc-by-4.0Dec 2020View details →
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FIGURE 1 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 1. Composite stratigraphic column of the John Day Formation with the Columbia River Basalt Group capping the section. Stratigraphic relationships and radiometric dates are based on Hunt and Stepleton (2004), Albright et al. (2008), and Fremd (2010). The black box encompasses the subunits that are considered lower Turtle Cove for the purposes of this study. Figure provided by the National Park Service.

opencc-by-4.0Dec 2020View details →
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Soil carbon stocks in sugarcane cultivation: an evidence synthesis associated with land use and management practices

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opencc-by-4.0Jul 2024View details →
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Figure 3 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 3 The spiral model - an open research lifecycle involves sharing of each step of the process, including not only scientific papers but also research ideas, data (raw and processed), metadata, methods, software (Minelli et al. 2017).

opencc-by-4.0Apr 2018View details →
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Figure 4a from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 4a An extract from data collected since 1965 to today in the NAS. - snapshot of the organization of the main table of data

opencc-by-4.0Apr 2018View details →
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Figure 1 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 1 The LTER-Italy parent site "Northern Adriatic Sea". The four research sites that compose it, together with the fixed point observatories, are evidenced. 1: Gulf of Trieste and Mambo buoy, 2: Gulf of Venice and Acqua Alta Tower, 3: Po Delta and Romagna Coast and S1-GB and E1 buoys, 4: Senigallia-Susak Transect and TeleSenigallia Pylon (Minelli et al. 2018)

opencc-by-4.0Apr 2018View details →
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Figure 4c from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 4c An extract from data collected since 1965 to today in the NAS. - 3D visualization of data from the viewpoint in b: the yellow grid represents the sea level, each set of vertical points represents more samplings relying on the same (X, Y) coordinates but at different depths (Z)

opencc-by-4.0Apr 2018View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.