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769 results for “Deprivation”

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zenodo52/100

German Index of Socioeconomic Deprivation (GISD)

Der German Index of Socioeconomic Deprivation (GISD) ist ein am Robert Koch-Institut entwickelter Index zur Erfassung regionaler sozioökonomischer Benachteiligung. Er wird verwendet, um regionale sozioökonomische Ungleichheiten in der Gesundheit sichtbar zu machen und Ansatzpunkte zur Erklärung regionaler Unterschiede in der Gesundheit aufzeigen zu können. Mit dem GISD wird es möglich, sozioökonomische Unterschiede in den Gesundheitschancen, Krankheits- und Sterberisiken in Deutschland auch dann zu untersuchen, wenn die betreffenden Gesundheitsdaten auf individueller Ebene keine Information zum sozioökonomischen Status enthalten. Für die Generierung des GISD werden Information der Bildungs-, Beschäftigungs- und Einkommenssituation in Kreisen und Gemeinden aus der Datenbank INKAR verwendet. Er wird auf der Ebene der Gemeinden generiert und wird für die Raumbezüge Gemeinden, Gemeindeverbände, Stadt- und Landkreise, Raumordnungsregionen, NUTS-2 und Postleitzahlbereiche bevölkerungsgewichtet aggregiert bereitgestellt. Die Gewichtung der Indikatoren wird über Hauptkomponentenanalysen innerhalb der Teildimensionen vorgenommen. Die aktuell verfügbaren Daten beziehen sich auf den Gebietsstand 31.12.2021 und enthalten Werte von 1998 bis 2021.

opencc-by-4.0Jan 2024View details →

OpenNeuro48/100

The Stockholm Sleepy Brain Study: Effects of Sleep Deprivation on Cognitive and Emotional Processing in Young and Old

Open the record for dataset details and reuse information.

openCC0Jan 2018View details →

zenodo48/100

Data and script for Van Berkel et al: Can starlings use a reliable cue of future food deprivation to adaptively modify foraging and fat reserves?

Supporting materials for: Can starlings use a reliable cue of future food deprivation to adaptively modify foraging and fat reserves? Menno van Berkela, Melissa Batesona, Daniel Nettlea and Jonathon Dunna* aCentre for Behaviour and Evolution & Institute of Neuroscience, Newcastle University, Newcastle, UK *Author for correspondence (email: jonathon.dunn@newcastle.ac.uk; telephone: (+44)7730015855; postal address: Institute of Neuroscience, Henry Wellcome Building, The Medical School, Framlington Place, Newcastle University, Newcastle upon Tyne, UK, NE2 4HH). R script and 3 .csv files.

opencc-by-4.0Mar 2018View details →

zenodo48/100

Data Report: "Health care of Persons Deprived of Liberty" Course from Brazil's Unified Health System Virtual Learning Environment

Dataset name: asppl-dataset.csv Version: 1.0 Dataset period: 06/07/2018- 05/25/2021 Dataset Characteristics: Multivalued Number of Instances: 4861 Number of Attributes: 33 Missing Values: Yes Area(s): Health and education  Sources:  <ul> <li> Primary: Unified Health System Virtual Learning Environment (AVASUS, in Portuguese: Ambiente Virtual de Aprendizagem do Sistema Único de Saúde) [1]; </li> <li> Secondary:  <ol> <li> Brazilian Classification of Occupations (CBO, in Portuguese: Classificação Brasileira de Ocupação) [2]; </li> <li> National Registry of Health Establishments (CNES, in Portuguese: Cadastro Nacional de Estabelecimentos de Saúde) [3]; and  </li> <li> Brazilian Institute of Geography and Statistics (IBGE, in Portuguese: Instituto Brasileiro de Geografia e Estatística) [4]. </li> </ol> </li> </ul> Description: The data contained on the asppl-dataset.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health care of Persons Deprived of Liberty”. The course is available on the Unified Health System Virtual Learning Environment [1]. This dataset provides elementary data for analyzing the course’s impact and reach, as well as the profile of its participants.

opencc-by-4.0Jul 2021View details →

zenodo44/100

Data description: Deprivation of loading during early healing of rat Achilles tendons affects extracellular matrix composition and structure, and reduces cell density and cell alignment

<a name="_Hlk158643946"></a>Data description: Deprivation of loading during early healing of rat Achilles tendons affects extracellular matrix composition and structure, and reduces cell density and cell alignment Malin Hammerman, Maria Pierantoni, Hanna Isaksson *, Pernilla Eliasson * * joint last authors This dataset contains microscope images obtained from sections of healing and intact rat Achilles tendons undergoing different in vivo loading protocols and different time points post-transection. The data presented are the full resolution microscope images available in lower resolution in the accompanying manuscript’s Supplementary Figures 4-6. Each zipped folders contain images (tif-files) from all time-points for each respective staining and loading group.    <ul> <li>Col1: Sections stained with Collagen 1 antibodies</li> <li>Col3: Sections stained with Collagen 3 antibodies</li> <li>Elastin: Sections stained with Elastin antibodies</li> <li>Full_loading: Free cage activity</li> <li>Reduced_loading: Paralysis of the calf muscle with Botox</li> <li>Minimal_loading: Botox combined with joint fixation using a steel-orthosis</li> <li>Intact_reference: Contralateral uninjured Achilles tendons, used as reference</li> </ul> More description of the datasets inside the zipped files are available below and in the file 'Data Description.pdf'   Brief re-cap of methods Histological analysis was performed on healing Achilles tendons from Female Sprague-Dawley rats, specific-pathogen free (11-12 weeks, weight 299 ± 15 g), that had undergone full transection [13] of the right Achilles tendon, and been exposed to different levels of loading. Altered loading was imposed through two mechanisms. Reduced loading involved intramuscular Botox injections in the right calf muscles to induce plantar flexor muscle paralysis [24]. Additionally, the rats in the minimal loading group received a steel-orthosis around their right hindlimb directly after surgery [24]. Snap frozen tendons in OCT were sectioned longitudinally (7 μm thickness) and stained with immunofluorescent staining for collagen 1, collagen 3, or elastin. Sections were counterstained with DAPI followed by mounting. The tissue sections were imaged under a microscope (DMi8, Leica Microsystems, Wetzlar, Germany, with a Hamamatsu Orca LT Flash sCMOS camera) where fluorescence was detected at 550 nm (secondary antibody Alexa Fluor 594), 470 nm (secondary antibody Alexa Fluor 488) and 385 nm (DAPI), and exposure time was held constant for each color channel regarding magnification and staining. Mapping images of the entire tendon were obtained for one section per group (n=1 per healing time, loading group and ECM matrix protein). All images were adjusted to the negative control, where the primary antibody was omitted, to correct for unspecific antibody detection. Microscope images and description of file-names All data is presented in the form of .tif files. Please refer to the scale bars in the images. All image-files are named using the following abbreviations, as described below. As an example, the file name “Tendon_col1_FL_1W_col1.tif” refers to a tendon section stained for collagen 1 from a rat exposed to full loading for a period of 1 week after tendon transection, where only the channel for collagen 1 is shown, whereas “Tendon_col1_FL_1W_merged.tif” includes the channels for both staining for collagen 1 and DAPI of the same section. Col1: Sections stained with Collagen 1 antibodies Col3: Sections stained with Collagen 3 antibodies Elastin: Sections stained with Elastin antibodies dapi: Sections stained with 4',6-Diamidino-2-Phenylindole Dihydrochloride. FL:   Full loading (free cage activity), RL:   Reduced loading (paralysis of the calf muscle with Botox), ML:  Minimal loading (Botox combined with joint fixation using a steel-orthosis) IT:    Intact contralateral Achilles tendons, used as reference. 1W: Healing time point 1 week after transection 2W: Healing time point 2 weeks after transection 3W: Healing time point 3 weeks after transection 20W: Healing time point 20 weeks after transection Settings for brightness and contrast Collagen 1 1w FL 2000-12 000, UL 4000-10 000, ML 4000-12 000 2w FL 2500-10 000, UL 4000-10 000, ML 5000-12 000 3w FL 2000-12 000, UL 3500-13 000, ML 3500-14 000 12w FL 3000-12 000 20w FL 3000-11 000 IT 2000-8 000 Collagen 3 1w FL 3000-12 000, UL 4000-10 000, ML 4000-13 000 2w FL 2000 - 7 000, UL 2500-12 000, ML 2000-12 000 3w FL 2000-12 000, UL 3500-13 000, ML 3500-14 000 12w FL 3000-12 000 20w FL 2000-12 000 IT 3000-12 000 Elastin 1w FL 4000-10 000, UL 5000 - 8000, ML 3500-12 000 2w FL 3000-12 000, UL 3000-12 000, ML 3000-12 000 3w FL 2500-12 000, UL 2000-12 000, ML 2500-12 000, 12w FL 3500-12 000 20w FL 3500-12 000 IT 2000-12 000

opencc-by-4.0Apr 2024View details →

zenodo44/100

THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE "HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM" AND ITS IMPACTS

Dataset name: asppl_dataset_v2.csv  Version: 2.0  Dataset period: 06/07/2018 - 01/14/2022 Dataset Characteristics: Multivalued  Number of Instances: 8118 Number of Attributes: 9 Missing Values: Yes Area(s): Health and education  Sources:  <ul> <li> Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);  </li> <li> Brazilian Occupational Classification (CBO) (Brasil, 2022b); </li> <li> National Registry of Health Establishments (CNES) (Brasil, 2022c);  </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021). Table 1: Description of AVASUS dataset features.  <table> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> gender  </td> <td> Gender of the course participant.  </td> <td> Categorical.  </td> <td> Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed) </td> </tr> <tr> <td> course_progress </td> <td> Percentage of completion of the course.  </td> <td> Numerical.  </td> <td> Range from 0 to 100. </td> </tr> <tr> <td> course_evaluation </td> <td> A score given to the course by the participant.  </td> <td> Numerical.  </td> <td> 0, 1, 2, 3, 4, 5 or NaN. </td> </tr> <tr> <td> evaluation_commentary </td> <td> Comment made by the participant about the course. </td> <td> Categorical.  </td> <td> Free text or NaN. </td> </tr> <tr> <td> region </td> <td> Brazilian region in which the participant resides. </td> <td> Categorical.  </td> <td> Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South).  </td> </tr> <tr> <td> CNES </td> <td> The CNES code refers to the health establishment where the participant works. </td> <td> Numerical.  </td> <td> CNES Code or NaN. </td> </tr> <tr> <td> health_care_level </td> <td> Identification of the health care network level for which the course participant works. </td> <td> Categorical. </td> <td> “ATENCAO PRIMARIA”, “MEDIA COMPLEXIDADE”,  “ALTA COMPLEXIDADE”,  and their possible combinations. (In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE")  </td> </tr> <tr> <td> year_enrollment </td> <td> Year in which the course participant registered. </td> <td> Numerical. </td> <td> Year (YYYY). </td> </tr> <tr> <td> CBO </td> <td> Participant occupation. </td> <td> Categorical.  </td> <td> Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”) </td> </tr> </tbody> </table>   Dataset name: prison_syphilis_and_population_brazil.csv Dataset period: 2017 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 13 Missing Values: No Source:  <ul> <li> National Penitentiary Department (DEPEN) (Brasil, 2022d);  </li> </ul> Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. Table 2: Description of DEPEN dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South. </td> </tr> <tr> <td> syphilis_2017 </td> <td> Number of syphilis cases in the prison system in 2017. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2017 </td> <td> Normalized rate of syphilis cases in 2017. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2018 </td> <td> Number of syphilis cases in the prison system in 2018. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2018 </td> <td> Normalized rate of syphilis cases in 2018. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2019 </td> <td> Number of syphilis cases in the prison system in 2019. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2019 </td> <td> Normalized rate of syphilis cases in 2019. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> syphilis_2020 </td> <td> Number of syphilis cases in the prison system in 2020. </td> <td> Numerical.  </td> <td> Number of syphilis cases. </td> </tr> <tr> <td> syphilis_rate_2020 </td> <td> Normalized rate of syphilis cases in 2020. </td> <td> Numerical.  </td> <td> Syphilis case rate. </td> </tr> <tr> <td> pop_2017 </td> <td> Prison population in 2017. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2018 </td> <td> Prison population in 2018. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2019 </td> <td> Prison population in 2019. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> <tr> <td> pop_2020 </td> <td> Prison population in 2020. </td> <td> Numerical.  </td> <td> Population number. </td> </tr> </tbody> </table>   Dataset name: students_cumulative_sum.csv Dataset period: 2018 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 7 Missing Values: No Source:  <ul> <li> Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a); </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate. Table 3: Description of Students dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region of the course participant. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.  </td> </tr> <tr> <td> 2018 </td> <td> Number of students enrolled in the course in 2018. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2018 </td> <td> Standardized rate of students in the course in 2018. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2019 </td> <td> Sum of students enrolled in the course in 2019. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2019 </td> <td> Standardized rate of students in the course in 2019. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2020 </td> <td> Sum of students enrolled in the course in 2020. </td> <td> Numerical.  </td> <td> Number of students. </td> </tr> <tr> <td> rate_2020 </td> <td> Standardized rate of students in the course in 2020. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> </tbody> </table>   Dataset name: syphilis_tests_brazil.csv Dataset period: 2017 - 2020 Dataset Characteristics: Multivalued  Number of Instances: 6 Number of Attributes: 9 Missing Values: No Source:  <ul> <li> Brazilian Ministry of Health, through the Outpatient Information System of the Brazilian Health System (SIA/SUS) (Brasil, 2022f); </li> <li> Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).  </li> </ul> Description: The data contained in the syphilis_tests_brazil.csv dataset (see Table 4) originate mainly from the Outpatient Information System of the Brazilian Health System (SIA/SUS). This dataset provides data on the number of tests for syphilis detection by region and year. In addition, it brings a rate that represents the normalized data to compare the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate. Table 4: Description of Syphilis Testes dataset Features.  <table align="center"> <tbody> <tr> <td> Attributes  </td> <td> Description  </td> <td> datatype  </td> <td> Value </td> </tr> <tr> <td> Region </td> <td> Brazilian region where tests for syphilis were performed. In addition, the sum of the regions, which refers to Brazil. </td> <td> Categorical.  </td> <td> Brazil and the Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South. </td> </tr> <tr> <td> 2017 </td> <td> The number of tests for syphilis performed in 2017. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2017 </td> <td> Syphilis testing rate in 2017. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2018 </td> <td> The number of tests for syphilis performed in 2018. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2018 </td> <td> Syphilis testing rate in 2018. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2019 </td> <td> The number of tests for syphilis performed in 2019. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2019 </td> <td> Syphilis testing rate in 2019. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> <tr> <td> 2020 </td> <td> The number of tests for syphilis performed in 2020. </td> <td> Numerical.  </td> <td> The number of tests. </td> </tr> <tr> <td> rate_2020 </td> <td> Syphilis testing rate in 2020. </td> <td> Numerical.  </td> <td> Normalized value. </td> </tr> </tbody> </table>   REFERENCES Brasil (2022a). Ambiente virtual de aprendizagem do sus - avasus. atenção à saúde da pessoa privada de liberdade Available from: <a href="https://avasus.ufrn.br/local/avasplugin/cursos/curso.php?id=114">https://avasus.ufrn.br/local/avasplugin/cursos/curso.php?id=114</a> . Brasil (2022b). Cbo - classificação brasileira de ocupações. Available from: <a href="http://www.mtecbo.gov.br/cbosite/pages/home.jsf">http://www.mtecbo.gov.br/cbosite/pages/home.jsf</a> . Brasil (2022c). Cnes - cadastro nacional de estabelecimentos de saúde. Available from: <a href="http://cnes.datasus.gov.br/">http://cnes.datasus.gov.br/</a> . Brasil (2022d). Departamento penitenciário nacional. levantamento nacional de informações penitenciárias. Available from: <a href="https://www.gov.br/depen/pt-br/servicos/sisdepen">https://www.gov.br/depen/pt-br/servicos/sisdepen</a> . Brasil (2022e). IBGE - Instituto Brasileiro de Geografia e Estatística. Estimativas da População. Available from: <a href="https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?edicao=31451&t=resultados">https://www.ibge.gov.br/estatisticas/sociais/populacao/9103-estimativas-de-populacao.html?edicao=31451&t=resultados</a> . Brasil (2022f). Ministério da saúde - sistema de informações ambulatoriais do sus (sia/sus). Available from: <a href="https://datasus.saude.gov.br/acesso-a-informacao/producao-ambulatorial-sia-sus/">https://datasus.saude.gov.br/acesso-a-informacao/producao-ambulatorial-sia-sus/</a> . Valentim, J., Oliveira, E. d. S. G., Valentim, R. A. d. M., Dias-Trindade, S., Dias, A. d. P., Cunha-Oliveira, A., et al. (2021). Data report: “health care of persons deprived of liberty” course from brazil’s unified health system virtual learning environment. Frontiers in Medicine 8. doi:10.3389/fmed.2021.742071.   ARTICLE: THE RELEVANCY OF MASSIVE HEALTH EDUCATION IN THE BRAZILIAN PRISON SYSTEM: THE COURSE “HEALTH CARE FOR PEOPLE DEPRIVED OF FREEDOM” AND ITS IMPACTS    AUTHORS: Janaína L. R. S. Valentim1,2, Sara Dias-Trindade2,3, Eloiza da S. G. Oliveira1,4, José A. M. Moreira2,5, Felipe Fernandes1, Manoel Honório Romão1, Philippi S. G. de Morais1, Alexandre R. Caitano1, Aline P. Dias1, Carlos A. P. Oliveira1,4,6, Karilany D. Coutinho1, Ricardo B. Ceccim7, Ricardo A. M. Valentim1   1Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil  2Univ Coimbra, Centre for Interdisciplinary Studies, Coimbra, Portugal 3Univ Coimbra, Centre for Interdisciplinary Studies, Faculty of Arts and Humanities, Coimbra, Portugal 4Multidisciplinary Institute for Human Development with Technologies, State University of Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil 5Open University (Universidade Aberta), Department of Education and Distance Learning (DEED), Lisbon, Portugal 6International Council for Open and Distance Education, Oslo, Norway 7Postgraduate Program in Education, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil

opencc-by-4.0Apr 2022View details →

dryad40/100

Food deprivation exposes sex-specific trade-offs between stress tolerance and lifespan in the copepod Tigriopus californicus

Long life is standardly assumed to be associated with high stress tolerance. Previous work shows that the copepod Tigriopus californicus breaks this rule, with longer lifespan under benign conditions found in males, the sex with lower stress tolerance. Here we extended this previous work, raising animals from the same families in food-replete conditions until adulthood and then transferring them to food-limited conditions until all animals perished. As in previous work, survivorship under food-replete conditions favored males. However, under food deprivation lifespan strongly favored females in all crosses. Compared to benign conditions, average lifespan under nutritional stress was reduced by 47% in males but only 32% in females. Further, the sex-specific mitonuclear effects previously found under benign conditions were erased under food limited conditions. Results thus demonstrate that sex-specific lifespan, including mitonuclear interactions, are highly dependent on nutritional environment.

opencc-zeroApr 2022View details →

zenodo40/100

Fig. 2 in Effect of food deprivation on hydrilla tip mining midge survival and subsequent development

Fig. 2. Effect of starvation post-hatch on the eclosion of Cricotopus lebetis adults from hydrilla (Hydrilla verticillata) stems in test tubes. Midge eclosion was defined as observing an adult C. lebetis in the test tube. Bars represent mean percentage midge eclosion ± standard error of the mean. Statistical differences between the midge eclosion observed afer different starvation periods post-hatch are indicated by different letters.

opencc-by-4.0Mar 2018View details →

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Fig. 1 in Effect of food deprivation on hydrilla tip mining midge survival and subsequent development

Fig. 1. Effect of food deprivation on larval survival of the hydrilla tip mining midge, Cricotopus lebetis. Number of larvae alive recorded for each day posthatch in 96-well plates. Mean percentage survival ± standard error of the mean. The number of larvae alive decreased significantly each day (P <0.05).

opencc-by-4.0Mar 2018View details →

zenodo40/100

Fig. 1 in Yeast hydrolysate deprivation and the mating success of male melon flies (Diptera: Tephritidae)

Fig. 1. Relative mating success of treated Z. cucurbitae males in field tent experiments as a function of duration of yeast hydrolysate (YH)-deprivation and cue-lure (CL) exposure, where treated males were cue-lure-deprived in Experiment 1 (solid circles) and cue-lure-fed in Experiment 2 (open circles). Values are means + 1 SE; N = 10 replicates in all cases.

opencc-by-4.0Dec 2017View details →

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Fig. 2 in Yeast hydrolysate deprivation and the mating success of male melon flies (Diptera: Tephritidae)

Fig. 2. Wing-fanning activity of control and treated males in laboratory cages. Control males were fed yeast hydrolysate (YH) continuously (and deprived of cue-lure [CL]), while treated males were deprived of yeast hydrolysate for 1 or 7 d prior to testing and were either denied or given access to cue-lure 1 d before testing. Bar heights represent average (+ 1 SE) number of males wing-fanning per 1-min check over 45 min preceding sunset on 8 different d (N = 8) for each treatment category.

opencc-by-4.0Dec 2017View details →

zenodo40/100

Fig. 6 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 6. Loricae showing different shape and ornamentation (SEM; all at the same scale). A, Lorica of Trachelomonas sp.GeoM*524; B, Lorica of Trachelomonas sp. GeoM 526; C, Lorica of Trachelomonas hispida var. irregularis GeoM 529; D, Protologue of Trachelomonas hispida var. irregularis.

opencc-by-4.0Feb 2020View details →

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Fig. 4 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 4. Different ontogenetic stages and empty loricae of selected Trachelomonas strains (LM; all at the same scale). M–P, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas teres var. minor GeoM 527; Q–T, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas hispida var. irregularis GeoM 529; U–X, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas teres var. granulata GeoM 540.

opencc-by-4.0Feb 2020View details →

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Fig. 2 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 2. Box plot display of cell width of investigated mature naked cells and mature loricate cells of Trachelomonas strains. Statistically significant clusters are indicated with letters a or b and green or red colour, corresponding to the phylogenetic tree (see Fig. 7).

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Fig. 1 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 1. Box plot display of cell length of investigated mature naked cells and mature loricate cells of Trachelomonas strains. Statistically significant clusters are indicated with letters a or b and green or red colour, corresponding to the phylogenetic tree (see Fig. 7).

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Fig. 5 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 5. LM, epitype, SEM and protologue images of mature Trachelomonas cells from selected strains. A–F, Mature loricate cells (A & B), epitype images (C & D), SEM image (E) and protologue (F) of Trachelomonas hispida var. volicensis GeoM 520; G–L, Mature loricate cells (G & H), epitype images (I & J), SEM image (K) and protologue (L) of Trachelomonas teres var. minor GeoM 527; M–R, Mature loricate cells (M & N), epitype images (O & P), SEM image (Q) and protologue (R) of Trachelomonas teres var. granulata GeoM 540.

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Fig. 3 in Contemporary integrative taxonomy for sexually deprived protists: A case study of Trachelomonas (Euglenaceae) from western Ukraine

Fig. 3. Different ontogenetic stages and empty loricae of selected Trachelomonas strains (LM; all at the same scale). A–D, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas hispida var. volicensis GeoM 520; E–H, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas sp. GeoM*524; I–L, Young immature cell, mature naked cell, mature loricate cell and empty lorica of Trachelomonas sp. GeoM 526.

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Dataset: Energy services' access deprivation in Mexico: A geographic, climatic and social perspective

This dataset contains all the information at the municipal level from the publication "Energy services' access deprivation in Mexico: A geographic, climatic and social perspective" published in Energy Policy (DOI: <a href="https://doi.org/10.1016/j.enpol.2022.112822">10.1016/j.enpol.2022.112822</a>). The information contains key categorizations on energy services access at the municipal level in Mexico, classified per climatic zone. It is complemented with key information on population and households at the municipal level. The raw data sources used to produce this secondary data are listed below. A detailed methodological description is available in the primary article (DOI: <a href="https://doi.org/10.1016/j.enpol.2022.112822">10.1016/j.enpol.2022.112822</a>) and the article "Dataset of household energy services access and socioeconomic variables in Mexico" to be published in Data in Brief.  Raw data: <ul> <li>2015 Intercensal Survey: <a href="https://www.inegi.org.mx/programas/intercensal/2015/">https://www.inegi.org.mx/programas/intercensal/2015/</a></li> <li>Poverty Index by Municipality in Mexico 2015: <a href="https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx">https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx</a></li> <li>Raster Map of Climates: <a href="https://www.inegi.org.mx/temas/climatologia/#Mapa">https://www.inegi.org.mx/temas/climatologia/#Mapa</a></li> </ul> The dataset's geographic scope is as follows: <ul> <li>City/Town/Region: All municipalities</li> <li>Country: Mexico</li> </ul>

opencc-by-4.0Feb 2022View details →

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Data from: Longitudinal effects of early psychosocial deprivation on macaque executive function: Evidence from computational modelling

Executive function (EF) describes a group of cognitive processes underlying the organization and control of goal-directed behaviour. Environmental experience appears to play a crucial role in EF development, with early psychosocial deprivation often linked to EF impairment. However, many questions remain concerning the developmental trajectories of EF after exposure to deprivation, especially concerning specific mechanisms. Accordingly, using an 'A-not B' paradigm and a macaque model of early psychosocial deprivation, we investigated how early deprivation influences EF development longitudinally from adolescence into early adulthood. The contribution of working memory and inhibitory control mechanisms were examined specifically via the fitting of a computational model of decision-making to the choice behaviour of each individual. As predicted, peer-reared animals (i.e. those exposed to early psychosocial deprivation) performed worse than mother-reared animals across time, with the fitted model parameters yielding novel insights into the functional decomposition of group-level EF differences underlying task performance. Results indicated differential trajectories of inhibitory control and working memory development in the two groups. Such findings not only extend our knowledge of how early deprivation influences EF longitudinally, but also provide support for the utility of computational modelling to elucidate specific mechanisms linking early psychosocial deprivation to long-term poor outcomes.

opencc-zeroMar 2023View details →

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Evaluation of Massive Education in Prison Health: a perspective of health care for the person deprived of freedom in Brazil

Dataset name: data_survey.xlsx  Version: 1.0  Dataset period: 03/23/2022 - 06/30/2022 Dataset Characteristics: Multivalued  Number of Instances: 270 Number of Attributes: 88 Missing Values: Yes Area(s): Health and education  Description: The data contained in the "data_survey.xlsx" dataset (Table 1, in the README) originate from a questionnaire (available in the download files section) composed of 37 questions administered to students who completed the course "Health Care for People Deprived of Freedom" from the learning path "Prison System." This course is a strategy for mass education in prison health in Brazil and is available in the Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2023). This dataset provides information about the course from the perspective of health professionals and other staff who work or wish to work in the Brazilian prison system. Note: The dataset's content is provided in Brazilian Portuguese (pt-br) from native speakers.

opencc-by-4.0Jun 2023View details →

ScienceDex guides

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

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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