cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6564697
title: Caracterização da Colaboração Apoiada por Sistemas de Informação em Cidades Inteligentes

description: The human population concentration in urban areas increases economic, social and environmental issues, demanding coordination between governments, universities, companies and society through smart cities initiatives. Aiming to identify research opportunities, this study looks for systematizing what has been discussed about collaboration in smart city initiatives supported by information systems through a systematic literature mapping. The results indicate that initiatives related to improving citizens’ quality of live are the mostly frequent. As a contribution, this work identifies challenges and opportunities on the theme and can support theories formulation in future work.
DOI: 10.6084/m9.figshare.19795243.v2
title: Material Complementar

description: Material Suplementar da Análise qualitativa do estudo - Desenvolvedores em foco! Análise da Developer Experience em uma ferramenta de modelagem colaborativa
DOI: 10.34681/jabv-kd09
title: National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2013

description: The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2013 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2012 - September 30, 2013) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.
DOI: 10.13011/m3-c2rm-rc21
title: Partitioning of Ca to metastable precipitates in a Mg-rare earth alloy
DOI: 10.5281/zenodo.6564771
title: Convolutions are competitive with transformers for protein sequence pretraining

description: - Pretrained models of protein sequences. See https://github.com/microsoft/protein-sequence-models for instructions on how to load models. - IDR datasets used for evaluation.
DOI: 10.5281/zenodo.6564785
title: [Suplemental Materials] Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records

description: <strong>Supporting Information</strong> <strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. <strong>Appendix S2</strong>. All species ranking of identification accuracy of photo reports submitted to eBird in Argentina. The ranking is first ordered by the minimum value found for either precision and recall scores, and second by the number of samples analyzed for each species. Species that were tagged as difficult to identify are indicated as ‘TRUE’ in column D named ‘hard_to_id’. <strong>Appendix S3</strong>. High-resolution network (Html file).
DOI: 10.5281/zenodo.6564784
title: [Suplemental Materials] Accuracy of bird identifications in citizen science data: a quantification of errors using photographic records

description: <strong>Supporting Information</strong> <strong>Appendix S1</strong>. The full dataset used in this study with a reproducible R code to perform data quality and network analyses. <strong>Appendix S2</strong>. All species ranking of identification accuracy of photo reports submitted to eBird in Argentina. The ranking is first ordered by the minimum value found for either precision and recall scores, and second by the number of samples analyzed for each species. Species that were tagged as difficult to identify are indicated as ‘TRUE’ in column D named ‘hard_to_id’. <strong>Appendix S3</strong>. High-resolution network (Html file).
DOI: 10.5066/p9ggkpgx
title: Naomi Outfall Management (BA-0003c), Barataria Bay Waterway East Side Shoreline Protection (BA-0026), and Naomi Freshwater Diversion (BA-0003): 2018 land-water classification

description: The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Naomi Outfall Management (BA-0003c), Barataria Bay Waterway East Side Shoreline Protection (BA-0026), and Naomi Freshwater Diversion (BA-0003) projects for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project [...]
DOI: 10.6084/m9.figshare.19794550.v1
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.6084/m9.figshare.19799032
title: Seascapes and foraging success: movement and resource discovery by a benthic marine herbivore

description: We examined the process of resource discovery in the context of a heterogeneous seascape using sea urchins and drift kelp in urchin barrens as a model system. Under field conditions, we manipulated both the presence of a highly valuable resource (drift kelp) and a barrier to movement (sandy substratum) to test the interacting influence of these two factors on the process of resource discovery in barren grounds by urchins. We removed all foraging urchins from replicate areas and monitored urchin recolonization and kelp consumption under the different treatments. We tested two hypotheses: 1) unstable substratum is a barrier to urchin movement and 2) the movement behaviour of sea urchins is modified by the presence of drift kelp. <br> All data used for analysis and presentation of the results are included here (experimental clearing data, kelp consumption in experimental units, clod card dissolution during experimental manipulations, and size-frequency of urchin populations at study sites).
DOI: 10.6084/m9.figshare.19799032.v1
title: Seascapes and foraging success: movement and resource discovery by a benthic marine herbivore

description: We examined the process of resource discovery in the context of a heterogeneous seascape using sea urchins and drift kelp in urchin barrens as a model system. Under field conditions, we manipulated both the presence of a highly valuable resource (drift kelp) and a barrier to movement (sandy substratum) to test the interacting influence of these two factors on the process of resource discovery in barren grounds by urchins. We removed all foraging urchins from replicate areas and monitored urchin recolonization and kelp consumption under the different treatments. We tested two hypotheses: 1) unstable substratum is a barrier to urchin movement and 2) the movement behaviour of sea urchins is modified by the presence of drift kelp. <br> All data used for analysis and presentation of the results are included here (experimental clearing data, kelp consumption in experimental units, clod card dissolution during experimental manipulations, and size-frequency of urchin populations at study sites).
DOI: 10.34681/f26a-1021
title: National Child Abuse and Neglect Data System (NCANDS) Agency File FFY 2012

description: The National Child Abuse and Neglect Data System, Agency File (State Summary), FFY- 2012 dataset consists of State-specific data of all investigated reports of maltreatment to State child protective service agencies. The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States. These data are collected within the federal fiscal year (FFY October 1, 2011 - September 30, 2012) rather than the calendar year. State Level records are reported for 52 cases (50 states, Washington DC, and Puerto Rico) through the Agency File. Data on funding of services, number of children screened out, number of Child Protective Services staff, preservation services, reunification, and child fatalities are included. Data are provided in MS Excel (.xlsx) and tab delimited (.tab) format.
DOI: 10.25345/c5319s64b
title: MassIVE MSV000089494 - Transcriptomic and Proteomic effects of CDK8 and CDK19 Mediator Kinases
title: CDK8 and CDK19 are paralogs of the transcriptional Mediator kinase, implicated in embryonic development and pathological processes. CDK8 and CDK19 are differentially expressed but whether they are also different mechanistically is controversial. Some of the phenotypic effects of CDK8 and CDK19 were reported to be kinase-independent but the molecular basis for such activities remains unknown. We have now analyzed transcriptomic, proteomic and phosphoproteomic effects of CDK8 and CDK19 in human cells and found that CDK8 and CDK19 have very similar effects on transcription and protein phosphorylation. The knockout of CDK8 alone had a greater effect than CDK19 knockout in cell lines that overexpressed CDK8 relative to CDK19 but the reverse was observed in CDK19-overexpressing cells. Hence, CDK8 and CDK19 differ primarily by their expression rather than function. Transcriptomic effects of Mediator kinase inhibition were characterized in the presence or absence of different transcriptional modulators (serum stimulation, NFkB inducer TNF, protein kinase C activator PMA and IFN). The primary effect of CDK8/19 inhibition was a decrease in the induction of gene expression by serum, TNF or PMA (although not IFN), indicating that Mediator kinase is broadly utilized to maximize signal-induced gene expression. Transcriptional effects of CDK8/19 in unstimulated cells were found to be kinase-dependent, but both wild-type and kinase-inactive forms of CDK8 and CDK19 protected their binding partner Cyclin C from proteolytic degradation. In addition, Mediator kinase inhibition exerted transcription-independent effects on the expression of a group of proteins, many of which interact directly or indirectly with Mediator kinase.
DOI: 10.25345/c5z892k0t
title: MassIVE MSV000089495 - Barley powdery mildew haustoria_epidermis proteomics
title: Lambertucci et al 2019 study, published in Frontiers in plant sciences. Additional files analysis, reanalysis to identify proteins associated with extra-haustorial structures required for infection and biotrophy. Identification of susceptibility genes, required for full pathogen infection.
DOI: 10.5281/zenodo.6564777
title: Code: The effects of model complexity on model output uncertainty in co-evolved coupled natural–human systems

description: This is the code archive for the publication "The effects of model complexity on model output uncertainty in co-evolved coupled natural–human systems" in Earth's Future. Abstract: Studies have recently focused on using coupled natural–human systems (CNHS) to inform policymaking. However, model uncertainty can increase with model complexity and affect the variance of the model outcomes. Therefore, this study explores an uncertainty analysis of coupled hydrological and human decision models to better evaluate CNHS modeling properties. Five coupled models are proposed with different model complexities for human behavior settings (i.e., model structure and the number of calibrated parameters): one static, two adaptive, and two learning adaptive. Learning adaptive models (the most complex) have both a learning component (capturing long-term trends) and an adaptive component (capturing short-term variations), while adaptive models omit the learning component. The static model is the simplest, without learning or adaptive components. Applying the law of total variance, the model output uncertainty is decomposed into three sources: (1) climate change scenario uncertainty, (2) climate internal variability, and (3) different model configurations with parameter sets or model structures that are equally capable of producing similar outcomes. Our exploratory analysis demonstrated that model uncertainty would likely increase with model complexity given uncertain input data (e.g., climate forcing) and different model configurations; the inclusion of a learning mechanism in the human system can potentially offset the impact of the natural system on uncertainty through coupling natural and human systems. We also discuss other uncertainty sources, such as assumptions about model structure due to incomplete knowledge and metrics for calibration target selection for future studies.
DOI: 10.5281/zenodo.6564776
title: Code: The effects of model complexity on model output uncertainty in co-evolved coupled natural–human systems

description: This is the code archive for the publication "The effects of model complexity on model output uncertainty in co-evolved coupled natural–human systems" in Earth's Future. Abstract: Studies have recently focused on using coupled natural–human systems (CNHS) to inform policymaking. However, model uncertainty can increase with model complexity and affect the variance of the model outcomes. Therefore, this study explores an uncertainty analysis of coupled hydrological and human decision models to better evaluate CNHS modeling properties. Five coupled models are proposed with different model complexities for human behavior settings (i.e., model structure and the number of calibrated parameters): one static, two adaptive, and two learning adaptive. Learning adaptive models (the most complex) have both a learning component (capturing long-term trends) and an adaptive component (capturing short-term variations), while adaptive models omit the learning component. The static model is the simplest, without learning or adaptive components. Applying the law of total variance, the model output uncertainty is decomposed into three sources: (1) climate change scenario uncertainty, (2) climate internal variability, and (3) different model configurations with parameter sets or model structures that are equally capable of producing similar outcomes. Our exploratory analysis demonstrated that model uncertainty would likely increase with model complexity given uncertain input data (e.g., climate forcing) and different model configurations; the inclusion of a learning mechanism in the human system can potentially offset the impact of the natural system on uncertainty through coupling natural and human systems. We also discuss other uncertainty sources, such as assumptions about model structure due to incomplete knowledge and metrics for calibration target selection for future studies.
DOI: 10.34681/zx8r-en40
title: Supporting Evidence-Based Home Visitation Programs to Prevent Child Maltreatment (EBHV)

description: In 2008, the Children’s Bureau (CB) within the Administration for Children and Families (ACF) at the U.S. Department of Health and Human Services funded 17 cooperative agreements (subcontractors) to support the development of infrastructure needed for the high quality implementation of grantee-selected evidence-based home visitation programs to prevent child maltreatment. CB/ACF funded Mathematica Policy Research and Chapin Hall at the University of Chicago to design and conduct a participatory and utilization-focused cross-site evaluation of the subcontractors’ programs. The primary purpose of the cross-site evaluation was to augment the existing evidence base by identifying successful strategies for adopting, implementing, and sustaining high quality home visiting programs to prevent child maltreatment. The national cross-site evaluation included four domains: (1) systems change and infrastructure building, (2) fidelity to evidence-based home visiting models, (3) cost analysis, and (4) a process study. The project will archive data used to assess the fidelity to five evidence-based home visiting models, including data on staff and participant characteristics, service data, and the Working Alliance Inventory, an instrument design to assess home visitor-participant relationships. Data were submitted by 48 implementing agencies from 16 of the EBHV subcontractors. These data describe service delivery between October 1, 2009 and June 30, 2012. Researchers who are interested in this Restricted dataset should email NDACAN to request the dataset codebooks before they decide to apply for this dataset.
DOI: 10.5281/zenodo.6564803
title: The Portrayal of Residential Care in Newspapers: Considerations for Resident Involvement

description: Interview transcripts of reporters, administrators, and long-term care residents to understand the considerations for residents to be involved in the news media production process. Data contain sensitive health information and are therefore not made publicly available.
DOI: 10.5281/zenodo.6564802
title: The Portrayal of Residential Care in Newspapers: Considerations for Resident Involvement

description: Interview transcripts of reporters, administrators, and long-term care residents to understand the considerations for residents to be involved in the news media production process. Data contain sensitive health information and are therefore not made publicly available.
DOI: 10.6084/m9.figshare.19799119
title: Cereal data Vráble

description: cereal data
DOI: 10.6084/m9.figshare.19799119.v1
title: Cereal data Vráble

description: cereal data
DOI: 10.5281/zenodo.6564713
title: There and back again: understanding the critical properties of backsplash galaxies (Data)

description: Data from the paper "There and back again: understanding the critical properties of backsplash galaxies (Data)" and code used to reduce it from the publicly available TNG-300 dataset.
DOI: 10.5281/zenodo.6564712
title: There and back again: understanding the critical properties of backsplash galaxies (Data)

description: Data from the paper "There and back again: understanding the critical properties of backsplash galaxies (Data)" and code used to reduce it from the publicly available TNG-300 dataset.
DOI: 10.6084/m9.figshare.19799134
title: Fauna data Vráble

description: Fauna data Vráble
DOI: 10.6084/m9.figshare.19794550.v2
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.6084/m9.figshare.19794550.v3
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.5281/zenodo.6564927
title: Crohn-s-Disease-WES-meta

description: Sequencing of over 100,000 individuals identifies multiple genes and rare variants associated with Crohn’s disease susceptibility Synopsis IBD exome-wide assocaition statistics from the meta-analysis of two callsets: Nextera and Twist. We used the fixed-effect meta-analysis in METAL. Column headers are self-explanatory. Allele2 is the tested/effect allele. Code availability Computer code used in this study: Hail (quality control, variants effect annotation; https://hail.is) Analysis scripts are available in folder "Hail-scripts" of this repository. SAIGE (variant-based and gene-based association test; https://github.com/weizhouUMICH/SAIGE) METAL (meta-analysis; https://genome.sph.umich.edu/wiki/METAL_Documentation) PLINK (ancestry assignment, IBD relatedness QC and sample heterozygosity QC; plink1.9, https://www.cog-genomics.org/plink/; sample level QC pipeline, https://github.com/Annefeng/PBK-QC-pipeline) Citation Sazonovs, Stevens, Venkataraman, Yuan et al., MedRxiv, 2021
DOI: 10.6084/m9.figshare.3761562.v2223
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.19794550
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.6084/m9.figshare.19794550.v5
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.6084/m9.figshare.19794550.v4
title: Preference data

description: A dataset on respondents' attribute preference for sustainable management of wetlands in Mpologoma catchment.
DOI: 10.25345/c5th8br62
title: MassIVE MSV000089496 - Single cell Co-culture with fluorescence microscopy project
title: Raw data for Metabolomics Studies of Cell-Cell Interactions using Single Cell Mass Spectrometry Combined with Fluorescence Microscopy
DOI: 10.5063/f1df6pnq
title: Observed Spring Phenology Responses in Experimental Environments (OSPREE)

description: This meta-analytic database of the published literature on spring phenology (e.g., budburst or leafout) of woody species in controlled environments (e.g., growth chambers) was designed to better inform models and related forecasts of spring phenology by: (1) allowing tests of the relative effects of chilling, forcing and photoperiod (daylength) on spring phenological responses and (2) giving an overview of the design of most experimental studies to date. There are two versions of this dataset: 1) ospreebb_forknb.csv: a subset of the full databse focused on budburst, used in Ettinger, A.K., Chamberlain, C.J., Morales-Castilla, I., Buonaiuto, D.M., Flynn, D.F.B., Savas, T., Samaha, J.A. and Wolkovich, E.M., 2020. Winter temperatures predominate in spring phenological responses to warming. Nature Climate Change, 10(12), pp.1137-1142. 2) ospree_forknb_limcue.csv: the full database, used in E.M. Wolkovich,, C.J. Chamberlain, D.M. Buonaiuto, A.K. Ettinger, I. Morales-Castilla. 2022. Limiting cues: How spring warming, winter chilling and daylength shape climate change responses. New Phytologist.
DOI: 10.6084/m9.figshare.19799179
title: DATA PERIPHERAL ARTERIAL DISEASE IN CHILDREN WITH NEPHROTIC SYNDROME (AKINYOSOYE GBENGA).xlsx

description: Data of 100 nephrotic syndrome recruited consecutively. Prevalence of PAD sought in them and age, sex and social class matched controls
DOI: 10.6084/m9.figshare.19706680
title: AVSRT-Autism Dataset

description: This dataset consists of .mat files containing reaction times (RTs) measured in 411 participants between the ages of 4 to 50 years with or without a diagnosis of Autism Spectrum Disorder. RTs were measured in response to randomly presented auditory, visual and audiovisual stimuli. Subject informaiton can be found in the accompanying spreadsheet.
DOI: 10.6084/m9.figshare.19706680.v1
title: AVSRT-Autism Dataset

description: This dataset consists of .mat files containing reaction times (RTs) measured in 411 participants between the ages of 4 to 50 years with or without a diagnosis of Autism Spectrum Disorder. RTs were measured in response to randomly presented auditory, visual and audiovisual stimuli. Subject informaiton can be found in the accompanying spreadsheet.
DOI: 10.6084/m9.figshare.16959460.v2
title: Larval traits drive patterns of marine dispersal and connectivity

description: This dataset contains data on 9248 fish larvae. These larvae are identified to the family level, and some are further classified to the genus, tribe, or subfamily level (all of these classifications are in the "GenusName" column). For each individual, the length in mm is also given. The samples came from depth-stratified sampling with a MOCNESS and Neuston nets, so the sample ID, target depth bin, and volume filtered are also recorded. This should be all the data necessary to calculate proportions at depth across ontogeny.
DOI: 10.5281/zenodo.6564798
title: Convolutions are competitive with transformers for protein sequence pretraining

description: - Pretrained models of protein sequences. See https://github.com/microsoft/protein-sequence-models for instructions on how to load models. - IDR datasets used for evaluation. - March 2020 version of UniRef50 with splits used for training.