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1,944 results for “Class I”

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zenodo40/100

Revised Class Play – Extended version (ERCP) / Class Play Revisado – Versión Extendida (CPRE) // CLASSPLAY_Data_CS_T2-Post

<p>Answers given by children in the second grade of Primary Education to 34 items of the Revised Class Play - Extended version questionnaire by Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; extended version adapted for Spanish population by Garc&iacute;a Bacete et al., 2014). Data collected in public schools in Seville (Spain) in the spring of the school year 2010-11. The questionnaire is administered individually. The calculation of the 11 subscales is included: Social Competence, Direct Aggression, Social Aggression, Reactive Aggression, Hyperactivity-Inattention, Withdrawal/Internal Problems, Victimization, Friendship Network, Perceived Preference, Dominance, and Influence. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a>.</p> <p>//</p> <p>Respuestas que los ni&ntilde;os/as de segundo curso de Educaci&oacute;n Primaria dan a 34 &iacute;tems del Cuestionario Class Play revisado- Versi&oacute;n ampliada de Wojslawowicz, Rubin, Burgess, Booth-LaForce, and Rose-Krasnor (2006; versi&oacute;n extendida y adaptada para la poblaci&oacute;n espa&ntilde;ola por Garc&iacute;a Bacete et al., 2014). Datos recogidos en centros p&uacute;blicos de Sevilla (Espa&ntilde;a) en la primavera del curso escolar 2010-11. El cuestionario se administra de forma individual. Se incluye el c&aacute;lculo de 11 subescalas: Competencia Social, Agresi&oacute;n Directa, Agresi&oacute;n Social, Agresi&oacute;n Reactiva, Hiperactividad-Inatenci&oacute;n, Retraimiento/Problemas Internos, Subescala de Victimizaci&oacute;n, Red de Amistad, Preferencia Percibida, Dominancia e Influencia. Para saber m&aacute;s sobre nuestra investigaci&oacute;n y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a>.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

DOES - Dataset of European scrap classes

<p><strong>DOES </strong>- Dataset of European scrap classes</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Landscape composition and shannon diversity of landuse classes aggregated from CORINE land cover 2012

<p>Based on Copernicus <a href="https://land.copernicus.eu/pan-european/corine-land-cover">CORINE land cover data</a> from 2012, we aggregated the original CORINE land use classes into 8 classes: urban, agriculture, grassland, Broad-leaved forest, Coniferous forest, Mixed forest, natural/seminatural vegetation, and water (see clc_legend.txt). We calculated the landscape composition (percentage of each land use type according to corine land type) and shannon diversity for 100 - 5000 meters (100-1000 meter with 100 meter intervals, 1000 - 5000 meter with 500 meter interval) buffer area around Landklif plots.</p> <p>LandKlif is funded by the <a href="https://www.stmwk.bayern.de/englisch.html"><strong>Bavarian State Ministry of Science and the Arts</strong></a> within the <a href="https://www.bayklif.de/"><strong>Bavarian Climate Research Network (bayklif)</strong></a><strong>.&nbsp;</strong> Within the five year funding period of bayklif, five interdisciplinary senior research associations and five junior research groups are be financed with a total sum of 18 million Euro. <strong>LandKliF</strong>, as one of the five interdisciplinary senior research associations, addresses the effects of climate change on biodiversity and ecosystem services in semi-natural, agricultural and urban landscapes.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Dataset of Intention to Whistleblow: Perception of Reporting Skill Mediates the Predicting Role of Class Consciousness and Perceived Probability of Revenge

<p><em>Dataset of </em><strong>Intention to Whistleblow: Perception of Reporting Skill Mediates the Predicting Role of Class Consciousness and Perceived Probability of Revenge</strong></p>

opencc-by-4.0Sep 2023View details →
dryad40/100

Resilin distribution and abundance in Apis mellifera across biological age classes and castes

<p>The presence of resilin, an elastomeric protein, in insect vein joints provides the flexible, passive deformations that are crucial to flapping flight. This study investigated the resilin gene expression and autofluorescence dynamics among <em>Apis</em> <em>mellifera</em> (honey bee) worker age classes and drone honey bees. Resilin gene expression was determined via ddPCR on whole honey bees and resilin autofluorescence was measured in the 1m-cu, 2m-cu, Cu-V, and Cu2-V joints on the forewing and the Cu-V joint of the hindwing. Resilin gene expression varied significantly with age, with resilin activity being highest in the pupae. Autofluorescence of the 1m-cu and the Cu-V joints on the ventral forewing and the Cu-V joint on the ventral hindwing varied significantly between age classes on the left and right sides of the wing, with the newly emerged honey bees having the highest level of resilin autofluorescence compared to all other groups. The results of this study suggest that resilin gene expression and deposition on the wing is age-dependent and may inform us more about the physiology of aging in honey bees.</p> <p> </p>

opencc-zeroSep 2023View details →
zenodo40/100

Evidence pyramid: evidence classes / evidence levels of studies

<p>Evidence classes / levels of evidence of scientific studies , represented as a pyramid. Studies can be from the fields of medicine, clinical studies, epidemiology and psychology.</p> <p>The hierarchical classification of studies is based on methodological aspects, according to the guidelines of the AHRQ (Agency for Healthcare Research and Quality, https://www.ahrq.gov).</p> <p>The classification of studies according to evidence levels is particularly suitable for clinical studies to assess the causality and effectiveness of interventions. Examples are therapy studies, evaluation of medication, training and other interventions.</p> <p>&nbsp;</p> <p><strong>Hierarchy according to evidence level / evidence class</strong></p> <p><strong>Level Ia:&nbsp; &nbsp;&nbsp;&nbsp;&nbsp; </strong>Evidence based on at least one <strong>meta-analysis</strong> on the basis of several methodologically high-quality randomised controlled trials (RCTs)</p> <p><strong>Level Ib:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </strong>Evidence based on at least one large, methodologically high-quality <strong>randomised controlled trial (RCT)</strong></p> <p><strong>Level IIa:&nbsp; &nbsp;&nbsp;&nbsp; </strong>Evidence based on at least one methodologically high-quality study without randomised group allocation (<strong>non-randomised intervention study</strong>)</p> <p><strong>Level IIb:&nbsp; </strong>&nbsp;&nbsp;&nbsp; Evidence based on at least one methodologically high-quality <strong>quasi-experimental study</strong></p> <p><strong>Level III:&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; </strong>Evidence based on more than one methodologically high-quality non-experimental study (<strong>non-interventional study</strong>): e.g. case-control study, cohort study, cross-sectional study</p> <p><strong>Level IV:&nbsp; &nbsp;&nbsp;&nbsp;&nbsp; </strong>Evidence based on <strong>reports / opinions of experts</strong>, based on clinical experience or expert committees</p> <p><strong>Level V:&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </strong>Evidence based on <strong>case reports</strong> (single cases, few cases), <strong>case series</strong> (group, &gt;10 cases) or <strong>individual expert opinions</strong></p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

π-Extended benzo[1,2:4,5]di[7]annulene bis(dicarboximide)s – a new class of non-alternant polycyclic aromatic dicarboximides

<p>Data to report&nbsp;<a href="https://doi.org/10.1039/D3SC04015A">https://doi.org/10.1039/D3SC04015A</a>:<br> Aromatic dicarboximides are a class of molecules represented by the well-known rylene bis(dicarboximide)s, in particular perylene or naphthalene bis(dicarboximide)s, which show pronounced optoelectronic properties and are applied as color pigments, fluorescent dyes and organic semiconductors. Herein we extend the family of aromatic bis(dicarboximide)s and report the synthesis of the first series of non-alternant aromatic dicarboximides by twofold Pd-catalyzed [5 + 2] annulation. Characterization by UV-Vis spectroscopy and cyclic voltammetry (CV) measurements give insight into the optoelectronic characteristics of the hitherto unexplored substance class of heptagon-containing imides. Theoretical studies by nucleus independent chemical shift (NICS) XY-scans and anisotropy of the induced current density (ACID) plots demonstrate the influence of both the non-alternant carbon framework and the imide moieties on aromaticity of the synthesized bisimides.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Credit scoring with class imbalance data: An out-of-sample and out-of-time perspective

<p>The raw datasets provided here are intended for use in a Data in Brief article. These comprehensive files, sourced from the Freddie Mac website, offer quarterly snapshots of mortgage loans that have been originated in the USA since 1999, along with details of their subsequent repayment behaviours. This data remains current and is updated every three months. Specifically, the loan origination data present here encompasses amortized fixed-rate mortgage loans from 1999 up to June 2022. In contrast, the performance data is presented on a monthly basis, detailing loan repayment profiles from 1999 until September 30, 2022. Both the origination and performance datasets feature a unique loan ID, which can be utilized to integrate the data on loan originations with that of loan repayments.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Figure 2 in Could Fidicina mannifera (Hemiptera: Cicadoidea: Fidicinini) promote a resource pulse in two Brazilian Cerrado vegetation classes?

Figure 2. Profile of lipids (mg g–1) in adult males and females of F. mannifera along emerging period, collected on the Agroecological Technology Center for Small Farmers (AGROTEC), Diorama, Goiás. Open diamonds demonstrate the amount of lipids present in females.

opencc-by-4.0Mar 2017View details →
zenodo40/100

Figure 3 in Could Fidicina mannifera (Hemiptera: Cicadoidea: Fidicinini) promote a resource pulse in two Brazilian Cerrado vegetation classes?

Figure 3. Precipitation (mm) for the months sampled in 2013 in the areas of cerrado woodland (closed symbol) and gallery forest (open symbol) in the Agroecological Technology Center for Small Farmers (AGROTEC), Diorama, GO, Brazil.

opencc-by-4.0Mar 2017View details →
zenodo40/100

Figure 1 in Could Fidicina mannifera (Hemiptera: Cicadoidea: Fidicinini) promote a resource pulse in two Brazilian Cerrado vegetation classes?

Figure 1. Proteins (mg g–1) in adult males and females of F. mannifera along the emerging period, collected on the Agroecological Technology Center for Small Farmers (AGROTEC), Diorama, Goiás. Open diamonds show the amount of protein present in females.

opencc-by-4.0Mar 2017View details →
zenodo40/100

"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice

"I was the class teacher at that time. It was a class trip, usually organized near the end of the schoolterm in summer. The pupils went there by bike to have a barbecue at the sandy banks of the river Rhine near Dusseldorf. The landscape around is mostly dominated by agriculture and glasshouse cultures. You find a mixture of former villages nowadays completely suburbanized. The population finds jobs in the nearby urban centers like Dusseldorf, Neuss and other big cities. The reason why Irecorded the scene is simply because Iam interested in collecting sounds in general by doing recordings in different surroundings like nature, cities and everything between. My memories about the event are that it was a relaxing and funny atmosphere, which is not always the case while teaching in a classroom" [Reinhard/reinsamba]15

opencc-by-4.0Dec 2019View details →
zenodo40/100

CCClim - A machine-learning powered cloud class climatology

<p>CCClim is based on cloud property retrievals from the European Space Agency's (ESA) Cloud\_cci dataset, adding relative occurrences of eight major cloud types as defined by the World Meteorological Organization (WMO) at 1° resolution.&nbsp;</p><p>The cloud types are predicted using a two stage machine learning framework, in which a 1 km pixel-level classifier is followed up with a grid-box scale Random Forest regression model.</p><p>CCClim's global coverage being almost gapless from 1982 to 2016 allows for performing process-oriented analyses of clouds on a climatological time scale. Similarly, the moderate spatial and temporal resolutions make it a lightweight dataset while enabling straightforward comparison to climate models.</p><p>The compressed tarball contains 35 netCDF files, each covering one calendar year. Each file provides daily averages of nine cloud-related variables and the nine classes (eight cloud types+undetermined) as per 1° grid box fractional amounts.</p><p>Cloud-related variables:</p><ul><li>cloud water path</li><li>ice water path</li><li>liquid water path</li><li>cloud optical depth</li><li>effective liquid droplet radius at cloud top</li><li>effective ice particle radius at cloud top</li><li>cloud top pressure</li><li>surface temperature</li><li>cloud area fraction</li></ul><p>Cloud types:</p><ul><li>Ci: Cirrus/Cirrostratus</li><li>As: Altostratus</li><li>Ac: Altocumulus</li><li>St: Stratus</li><li>Sc: Stratocumulus</li><li>Cu: Cumulus</li><li>Ns: Nimbostratus</li><li>Dc: Deep convective</li></ul>

opencc-by-4.0Oct 2023View details →
zenodo40/100

WhiteRoadLines: Dataset of 27,025 images (256x256 pixeles at 0.15 m/ pixel) containing representative road lines and markings labelled for multi-class semantic segmentation

<p>The dataset consists of 27,025 PNG images (256x256 pixels) of high resolution aerial orthoimages at 0,15 m/pixel of resolution. The images contain information related to representative road lines and markings found on highway pavement and is labelled for multi-class semantic segmentation with tree classes of white road<br>lines and markings: (1) continuous line (black color), (2) dashed line (dark gray color) and (3) separation of entry and exit lanes (light gray color), together with (4) the background (white color).&nbsp;<br>&nbsp;</p><p>The dataset has been created in the framework of the SROADEX project to train a multiclass semantic segmentation process based on Deep Learning.<br>The data have been generated using scripts developed in Python using Open Source libraries (GDAL/OGR and MapScript) for rasterization of vector cartography representing the three different types of white road lines. This cartography has been obtained from Spanish official sources (National Geographic Institute) that we have<br>revised and edited in a meticulous and systematic way to verify that the road lines are represented on the cartography according to the orthoimages, available on January 1, 2022 in the download center of the National Center of Geographic Information (CNIG).&nbsp;</p><p>In the digitisation process, 46 homogeneously distributed areas of Spain have been selected. The orthoimages used have been resampled from the original resolution of 0,25m/pixel to 0,15m/pixel, as this is closer to the width of two of the three classes of white lines in the dataset. It resulted in 80% of the images for training (21622), 10% for validation (2702) and 10% for testing (2701). The following table summarises the number of pixels of each category included in each of the three sub-datasets</p><p>&nbsp;</p><p>Set&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Nº images &nbsp; Class_1 (continuous line) &nbsp; Class_2 (discontinuous line) Class_3 (line defining highway entrance or exit) &nbsp;Class_4 (background)</p><p>Train &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 21,622 &nbsp; &nbsp; &nbsp;27,633,537 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4,543,552 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3,284,380 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1,381,557,923</p><p>Validation &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2,702 &nbsp; &nbsp; &nbsp; &nbsp;3,433,103 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;570,741 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;395,646 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 172,678,782</p><p>Test &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;2,701 &nbsp; &nbsp; &nbsp; &nbsp;3,435,072 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;536,838 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;429,527 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 172,611,299</p><p>Total &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 27,025 &nbsp; &nbsp; &nbsp;34,501,712 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5,651,131 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4,109,553 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1,726,848,004</p>

opencc-by-4.0Oct 2023View details →
dryad40/100

The primate Major Histocompatibility Complex: Sets of posterior trees from BEAST2 for the whole-class multi-gene alignments

Open the record for dataset details and reuse information.

publicSep 2025View details →
dryad40/100

Data from: Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes

Open the record for dataset details and reuse information.

publicApr 2023View details →
dryad40/100

Cambrian origin but no early burst in functional disparity for Class Bivalvia

Open the record for dataset details and reuse information.

publicMay 2023View details →
dryad40/100

LipidQuant 1.0: Automated data processing in lipid class separation - mass spectrometry quantitative workflows

Open the record for dataset details and reuse information.

publicJun 2021View details →
dryad40/100

Genotyping results of the FabaPanel for: Genetic erosion within the Fabada dry bean market class revealed by high-throughput genotyping

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publicJul 2024View details →
dryad40/100

Meta-analysis of major histocompatibility complex (MHC) class IIA reveals polymorphism and positive selection in many vertebrate species

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publicNov 2022View details →

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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

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