cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25438/wes02.21809683.v1
title: 2010 Political TV Ad Airing Data

description: This item contains 2010 Political TV Ad Airing Data. There are separate (zipped) files for federal (U.S. Senate & U.S. House), Gubernatorial, and down ballot races. Unlike other WMP data sets, it includes a separate spending estimate file. Includes SPSS and Stata 13 files. Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2010 Political TV Ad Airings Data. <br>
DOI: 10.25438/wes02.21809737
title: 2012 Non-Presidential Political TV Ad Airing Data

description: This item contains 2012 Non-Presidential Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. <br> Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2012 Non-Presidential Political TV Ad Airings Data.
DOI: 10.25438/wes02.21809737.v1
title: 2012 Non-Presidential Political TV Ad Airing Data

description: This item contains 2012 Non-Presidential Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. <br> Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2012 Non-Presidential Political TV Ad Airings Data.
DOI: 10.25438/wes02.21809749
title: 2014 Political TV Ad Airing Data

description: This item contains 2014 Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2014 Political TV Ad Airings Data.
DOI: 10.25438/wes02.21809749.v1
title: 2014 Political TV Ad Airing Data

description: This item contains 2014 Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2014 Political TV Ad Airings Data.
DOI: 10.25438/wes02.21809753
title: 2016 Non-Presidential Political TV Ad Airing Data

description: This item contains 2016 Non-Presidential Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. <br> Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2016 Non-Presidential Political TV Ad Airings Data.
DOI: 10.25438/wes02.21809753.v1
title: 2016 Non-Presidential Political TV Ad Airing Data

description: This item contains 2016 Non-Presidential Political TV Ad Airing Data. There are separate (zipped) files for U.S. Senate, U.S. House, Gubernatorial, and down ballot races. Includes SPSS and Stata 13 files. <br> Contractual obligations with our data provider, Kantar/CMAG, necessitate that we limit access to the data to members of academic institutions using the data for academic purposes. To learn more and purchase data visit https://mediaproject.wesleyan.edu/dataaccess/. <br> This item is part of the project 2016 Non-Presidential Political TV Ad Airings Data.
DOI: 10.5281/zenodo.7806961
title: Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens

description: The submitted protein sequences were compiled from two of our previous studies, 1) 'Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens' (doi.org/10.1038/ismej.2012.10) and 2) 'Leucoagaricus gongylophorus Produces Diverse Enzymes for the Degradation of Recalcitrant Plant Polymers in Leaf-Cutter Ant Fungus Gardens' (doi.org/10.1128/AEM.03833-12).
DOI: 10.5281/zenodo.7806960
title: Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens

description: The submitted protein sequences were compiled from two of our previous studies, 1) 'Metagenomic and metaproteomic insights into bacterial communities in leaf-cutter ant fungus gardens' (doi.org/10.1038/ismej.2012.10) and 2) 'Leucoagaricus gongylophorus Produces Diverse Enzymes for the Degradation of Recalcitrant Plant Polymers in Leaf-Cutter Ant Fungus Gardens' (doi.org/10.1128/AEM.03833-12).
DOI: 10.23641/asha.22105142
title: Reporting of morphological awareness instruction (Passaretti et al., 2023)

description: <strong>Purpose: </strong>The purpose of this scoping review was to document how the literature reports morphological awareness instruction and interventions delivered by speech-language pathologists (SLPs) and/or educators in classroom settings for kindergarten to Grade 3 students. <strong>Method: </strong>We followed the Joanna Briggs Institute’s methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews reporting guidelines. Six relevant databases were searched systematically with article screening and selection completed by two reviewers calibrated for reliability. For data charting, one reviewer extracted content and a second reviewer verified it was pertinent to the review question. Charting for the reported elements of morphological awareness instruction and interventions was guided by the Rehabilitation Treatment Specification System. <strong>Results:</strong> The database search yielded 4,492 records. After removal of duplicates and screening, 47 articles were selected for inclusion. Interrater reliability for source selection exceeded the pre-established criterion of <em>k</em> = .61. Our analysis generated a comprehensive description of the elements of morphological awareness instruction as reported in the included articles. <strong>Conclusions:</strong> Our findings provide school-based SLPs and educators a systematic means of reviewing the literature to identify key elements of morphological awareness instruction in published articles for application of evidence-based practices with fidelity, thus helping to close the research-to-practice gap. Our manifest content analysis revealed reporting of the elements for classroom-based morphological awareness instruction was varied, and in some cases, underspecified in the articles included in our study. Implications for clinical practice and future research to advance knowledge and promote implementation of evidence-based practices by SLPs and educators in today’s classrooms are discussed. <strong>Supplemental Material S1.</strong> Search strategy: terms used to search the six electronic databases. <strong>Supplemental Material S2.</strong> Eligibility criteria for full-text review. <strong>Supplemental Material S3. </strong>Data charting form. <strong>Supplemental Material S4.</strong> Study characteristics, aim, model of service delivery, and characteristics of intended/actual participants. <strong>Supplemental Material S5.</strong> RTSS elements charted for morphological awareness instruction. Passaretti, B., Turkstra, L. S., Gallagher, T., Jiang, A., Cahill, P., & Campbell, W. (2023). Reporting of classroom-based morphological awareness instruction and intervention for kindergarten to Grade 3 students in the literature: A scoping review. <em>Language, Speech, and Hearing Services in Schools, 54</em>(2), 648–669. https://doi.org/10.1044/2022_LSHSS-22-00090
DOI: 10.23641/asha.22105142.v1
title: Reporting of morphological awareness instruction (Passaretti et al., 2023)

description: <strong>Purpose: </strong>The purpose of this scoping review was to document how the literature reports morphological awareness instruction and interventions delivered by speech-language pathologists (SLPs) and/or educators in classroom settings for kindergarten to Grade 3 students. <strong>Method: </strong>We followed the Joanna Briggs Institute’s methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews reporting guidelines. Six relevant databases were searched systematically with article screening and selection completed by two reviewers calibrated for reliability. For data charting, one reviewer extracted content and a second reviewer verified it was pertinent to the review question. Charting for the reported elements of morphological awareness instruction and interventions was guided by the Rehabilitation Treatment Specification System. <strong>Results:</strong> The database search yielded 4,492 records. After removal of duplicates and screening, 47 articles were selected for inclusion. Interrater reliability for source selection exceeded the pre-established criterion of <em>k</em> = .61. Our analysis generated a comprehensive description of the elements of morphological awareness instruction as reported in the included articles. <strong>Conclusions:</strong> Our findings provide school-based SLPs and educators a systematic means of reviewing the literature to identify key elements of morphological awareness instruction in published articles for application of evidence-based practices with fidelity, thus helping to close the research-to-practice gap. Our manifest content analysis revealed reporting of the elements for classroom-based morphological awareness instruction was varied, and in some cases, underspecified in the articles included in our study. Implications for clinical practice and future research to advance knowledge and promote implementation of evidence-based practices by SLPs and educators in today’s classrooms are discussed. <strong>Supplemental Material S1.</strong> Search strategy: terms used to search the six electronic databases. <strong>Supplemental Material S2.</strong> Eligibility criteria for full-text review. <strong>Supplemental Material S3. </strong>Data charting form. <strong>Supplemental Material S4.</strong> Study characteristics, aim, model of service delivery, and characteristics of intended/actual participants. <strong>Supplemental Material S5.</strong> RTSS elements charted for morphological awareness instruction. Passaretti, B., Turkstra, L. S., Gallagher, T., Jiang, A., Cahill, P., & Campbell, W. (2023). Reporting of classroom-based morphological awareness instruction and intervention for kindergarten to Grade 3 students in the literature: A scoping review. <em>Language, Speech, and Hearing Services in Schools, 54</em>(2), 648–669. https://doi.org/10.1044/2022_LSHSS-22-00090
DOI: 10.23641/asha.21991931
title: Treatment response predictors in bilingual DLD (Ebert & Pham, 2023)

description: <strong>Purpose:</strong> For bilingual children with developmental language disorder (DLD), language treatment response is the degree to which an individual child progresses in both of their languages. Understanding what predicts language treatment response for an individual child can help clinicians plan treatment more effectively. <strong>Method:</strong> This study is a retrospective analysis of data from the study of Ebert et al. (2014). Participants included 32 school-age Spanish–English bilingual children with DLD who completed an intensive language treatment program. Gains in Spanish and English were measured using raw test scores in each language. Predictors of language gains include language, cognitive, and demographic variables. To examine which predictors were significant, we calculated partial correlations between the potential predictors and the posttreatment language test scores, controlling for the effects of pretreatment test scores. <strong>Results:</strong> In Spanish, several predictors correlated with the outcome measures. After controlling for pretreatment scores, English grammaticality, female sex, processing speed, age, and fluid reasoning were related to Spanish posttreatment scores. In English, correlations with individual predictors were minimal. After controlling for pretreatment scores, only one variable was associated with one English posttreatment score: English grammaticality. <strong>Conclusions:</strong> The original study reported limited gains in Spanish compared to robust gains in English. Treatment response in Spanish is more variable given the lack of environmental support for Spanish in the United States. As a result, individual factors (including nonverbal cognition, pretreatment language levels, and demographic variables) influence treatment gains in Spanish. In contrast, strong environmental support for English supports a more consistent treatment response, with a smaller role for individual factors. <strong>Supplemental Material S1.</strong> Bivariate correlations among all variables. <strong>Supplemental Material S2.</strong> Partial correlations controlling for pretreatment Conceptos y Sigiuiendo Direcciones. <strong>Supplemental Material S3.</strong> Partial correlations controlling for pretreatment Recordando Oraciones. <strong>Supplemental Material S4.</strong> Partial correlations controlling for pretreatment Formulacion de Oraciones. <strong>Supplemental Material S5.</strong> Partial correlations controlling for pretreatment Concepts & Following Directions. <strong>Supplemental Material S6.</strong> Partial correlations controlling for pretreatment Recalling Sentences. <strong>Supplemental Material S7. </strong>Partial correlations controlling for pretreatment Formulated Sentences. Ebert, K. D., & Pham, G. T. (2023). What predicts individual response to language treatment in bilingual children with developmental language disorder? <em>Perspectives of the ASHA Special Interest Groups, 8</em>(2), 226–233. https://doi.org/10.1044/2022_PERSP-22-00170
DOI: 10.23641/asha.21991931.v1
title: Treatment response predictors in bilingual DLD (Ebert & Pham, 2023)

description: <strong>Purpose:</strong> For bilingual children with developmental language disorder (DLD), language treatment response is the degree to which an individual child progresses in both of their languages. Understanding what predicts language treatment response for an individual child can help clinicians plan treatment more effectively. <strong>Method:</strong> This study is a retrospective analysis of data from the study of Ebert et al. (2014). Participants included 32 school-age Spanish–English bilingual children with DLD who completed an intensive language treatment program. Gains in Spanish and English were measured using raw test scores in each language. Predictors of language gains include language, cognitive, and demographic variables. To examine which predictors were significant, we calculated partial correlations between the potential predictors and the posttreatment language test scores, controlling for the effects of pretreatment test scores. <strong>Results:</strong> In Spanish, several predictors correlated with the outcome measures. After controlling for pretreatment scores, English grammaticality, female sex, processing speed, age, and fluid reasoning were related to Spanish posttreatment scores. In English, correlations with individual predictors were minimal. After controlling for pretreatment scores, only one variable was associated with one English posttreatment score: English grammaticality. <strong>Conclusions:</strong> The original study reported limited gains in Spanish compared to robust gains in English. Treatment response in Spanish is more variable given the lack of environmental support for Spanish in the United States. As a result, individual factors (including nonverbal cognition, pretreatment language levels, and demographic variables) influence treatment gains in Spanish. In contrast, strong environmental support for English supports a more consistent treatment response, with a smaller role for individual factors. <strong>Supplemental Material S1.</strong> Bivariate correlations among all variables. <strong>Supplemental Material S2.</strong> Partial correlations controlling for pretreatment Conceptos y Sigiuiendo Direcciones. <strong>Supplemental Material S3.</strong> Partial correlations controlling for pretreatment Recordando Oraciones. <strong>Supplemental Material S4.</strong> Partial correlations controlling for pretreatment Formulacion de Oraciones. <strong>Supplemental Material S5.</strong> Partial correlations controlling for pretreatment Concepts & Following Directions. <strong>Supplemental Material S6.</strong> Partial correlations controlling for pretreatment Recalling Sentences. <strong>Supplemental Material S7. </strong>Partial correlations controlling for pretreatment Formulated Sentences. Ebert, K. D., & Pham, G. T. (2023). What predicts individual response to language treatment in bilingual children with developmental language disorder? <em>Perspectives of the ASHA Special Interest Groups, 8</em>(2), 226–233. https://doi.org/10.1044/2022_PERSP-22-00170
DOI: 10.5281/zenodo.7803901
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2014

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2014. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2013</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2015</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2014 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7803900
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2014

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2014. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2013</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2015</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2014 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.18112/openneuro.ds004549.v1.0.0
title: testMIproject
DOI: 10.5281/zenodo.7806994
title: hypsolebias_antenori_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7806993
title: hypsolebias_antenori_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22567846
title: PRISMA checklist for ‘Identifying the most effective Traditional Chinese Medicine treatment modalities for premature ovarian insufficiency: a systematic review and network meta-analysis’

description: The PRISMA-NMA checklist showed the guidance for reporting systematic reviews comparing multiple treatments for POI using direct and indirect evidence in network meta-analyses.