cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e193804v2
title: Broadly Shared Local Economic Success since 2000: New Measures and New Lessons for Communities

description: In recent decades, many local labor markets—especially those in former
industrial areas—have experienced lagging employment rates, hourly wages, and
annual earnings. Even in places that have thrived, disadvantaged racial and
ethnic groups and those with less education have often fared poorly, and
long-term growth has bypassed many Americans at the middle and bottom of the
income distribution. This report examines the relative economic success over
the past two decades (prior to the COVID pandemic) of different local labor
markets throughout the United States, both for residents overall and for those
of different demographic groups. We construct a new, publicly available database
for economic indicators for these labor markets—both commuting zones and core-based
statistical areas—for each of 160 demographic cells and three time periods. Our
economic indicators account for demographic and cost-of-living differences
across areas, facilitating comparisons of economic trends across geographies
for different groups of interest. We show that locations that have performed
well in terms of employment growth have not always performed well in terms of
earnings growth; moreover, areas that have seen broad growth overall for their
residents have often seen growth lag for vulnerable groups. To more
systematically understand factors associated with economic success for
different groups, we examine the relationship with baseline correlates and
supplement these descriptive regressions with narrative case studies. Although
initial industry mix plays an important role, other factors, including
government investment and local leadership, may matter even more.<br><br>The data files included here provide the economic indictors we use for multiple geographies, time periods, and demographic groups, allowing replication and additional analyses.
description: Commuting Zones and Core-based Statistical Areas in the United States from the 2000 Census, 2005-2007 ACS, and 2015-2019 ACS. Individual microdata from these sources are used to calculate population-level statistics for residents aged 25-64. Smallest Geographic Unit: Commuting zone, Core-Based Statistical Area
DOI: 10.5281/zenodo.10854907
title: Local optima network metrics from the IEEE CEC 2024 paper "Information flow and Laplacian dynamics on local optima networks"

description: Local optima network metrics from the IEEE CEC 2024 paper "Information flow and Laplacian dynamics on local optima networks". 

There are two CSV files: one for each of the two iterated local search confgurations used to construct the networks (low or high). In each file, a row contains information about one QAPLIB instance. Easch row contains all the metrics computed for the associated LON and also algorithm performance data on the instance.
DOI: 10.5281/zenodo.10854908
title: Local optima network metrics from the IEEE CEC 2024 paper "Information flow and Laplacian dynamics on local optima networks"

description: Local optima network metrics from the IEEE CEC 2024 paper "Information flow and Laplacian dynamics on local optima networks". 

There are two CSV files: one for each of the two iterated local search confgurations used to construct the networks (low or high). In each file, a row contains information about one QAPLIB instance. Easch row contains all the metrics computed for the associated LON and also algorithm performance data on the instance.
DOI: 10.34740/kaggle/dsv/7916777
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7916813
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.25463998
title: Trust project data_Lubiewska et al..sav

description: The Trust project aims to study relations between attachment security and different levels /circles of trust in the context of temperamental variables, intensive parenting, national/general socialization goals, and eco-cultural factors characterizing context of living in Norway, Poland, and Belarus.
DOI: 10.6084/m9.figshare.25463998.v1
title: Trust project data_Lubiewska et al..sav

description: The Trust project aims to study relations between attachment security and different levels /circles of trust in the context of temperamental variables, intensive parenting, national/general socialization goals, and eco-cultural factors characterizing context of living in Norway, Poland, and Belarus.
DOI: 10.34740/kaggle/dsv/7916826
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.6084/m9.figshare.25463965
title: Label-free detection and profiling of individual solution-phase molecules- sample raw data

description: These .csv files represent a sample of the raw data corresponding to the single-molecule signals of the four proteins illustrated in Figure 2 in the manuscript entitled 'Label-free detection and profiling of individual solution-phase molecules' and other figures shown in the Extended Data and Supplementary Information sections. The data is numerical and contains 3 columns; time (s), transmission signal (V) and reflection signal (V).
DOI: 10.26030/v6s6-w170
title: Resequencing of select microbial isolates from the International Space Station with the Nanopore MinION

description: Microbial isolates from the NASA Space Biology-funded microbial tracking experiments were re-sequenced using the Oxford Nanopore MinION.
DOI: 10.23641/asha.25021931
title: Preterm birth and parent–infant conversation (Coughlan et al., 2024)

description: <b>Purpose:</b> To investigate the language environments experienced by preterm-born infants, this study compared the linguistic and interactive features of parent–infant conversations involving 2-year-old preterm- and term-born infants. The study also explored how mother–infant and father–infant conversations may be differentially affected by preterm/term birth status.<b>Method: </b>Twenty-two preterm-born (&lt; 37 weeks’ gestation) and 25 term-born (≥ 37 weeks’ gestation) 2-year-old infants engaged in dyadic mother/father–infant free-play interactions that were transcribed to quantify the linguistic (parental volubility, speech rate, lexical diversity, and morphosyntactic complexity) and interactive (infant/parent responsiveness, turn-taking, and conversational balance) features of parent–infant conversations. Language, cognitive, socioemotional, and executive function skills were assessed via standardized tools.<b>Results: </b>Compared to the term group, the preterm group was characterized by lower maternal speech rate, parental lexical diversity, and parent–infant turn-taking, as well as greater mother–infant conversational balance. The preterm group presented poorer language and executive function skills when compared to the term group.<b>Conclusions: </b>Both similarities and differences exist between the language environments of preterm and term groups. Similarities may be due to the partial developmental catch-up of preterm-born infants (cognitive and socioemotional skills) and parental scaffolding. Differences may partly reflect a parental adaptation to the language and executive function difficulties of preterm-born infants. These findings suggest that researchers/clinicians should appraise the language environment with respect to the unique developmental needs of preterm/term-born infants. Future research directions are provided to advance a more holistic characterization of the language environment and a deeper understanding of the developmental significance of preterm–term differences in such environments.<b>Supplemental Material S1. </b>Mother–infant and father–infant conversations: Spearman correlations between infant age and language environment features.Coughlan, S., Quigley, J., & Nixon, E. (2024). The synergistic effects of preterm birth and parent gender on the linguistic and interactive features of parent–infant conversations. <i>Journal of Speech, Language, and Hearing Research</i>, <i>67</i>(3), 886–899. https://doi.org/10.1044/2023_JSLHR-23-00389
DOI: 10.23641/asha.25021931.v1
title: Preterm birth and parent–infant conversation (Coughlan et al., 2024)

description: <b>Purpose:</b> To investigate the language environments experienced by preterm-born infants, this study compared the linguistic and interactive features of parent–infant conversations involving 2-year-old preterm- and term-born infants. The study also explored how mother–infant and father–infant conversations may be differentially affected by preterm/term birth status.<b>Method: </b>Twenty-two preterm-born (&lt; 37 weeks’ gestation) and 25 term-born (≥ 37 weeks’ gestation) 2-year-old infants engaged in dyadic mother/father–infant free-play interactions that were transcribed to quantify the linguistic (parental volubility, speech rate, lexical diversity, and morphosyntactic complexity) and interactive (infant/parent responsiveness, turn-taking, and conversational balance) features of parent–infant conversations. Language, cognitive, socioemotional, and executive function skills were assessed via standardized tools.<b>Results: </b>Compared to the term group, the preterm group was characterized by lower maternal speech rate, parental lexical diversity, and parent–infant turn-taking, as well as greater mother–infant conversational balance. The preterm group presented poorer language and executive function skills when compared to the term group.<b>Conclusions: </b>Both similarities and differences exist between the language environments of preterm and term groups. Similarities may be due to the partial developmental catch-up of preterm-born infants (cognitive and socioemotional skills) and parental scaffolding. Differences may partly reflect a parental adaptation to the language and executive function difficulties of preterm-born infants. These findings suggest that researchers/clinicians should appraise the language environment with respect to the unique developmental needs of preterm/term-born infants. Future research directions are provided to advance a more holistic characterization of the language environment and a deeper understanding of the developmental significance of preterm–term differences in such environments.<b>Supplemental Material S1. </b>Mother–infant and father–infant conversations: Spearman correlations between infant age and language environment features.Coughlan, S., Quigley, J., & Nixon, E. (2024). The synergistic effects of preterm birth and parent gender on the linguistic and interactive features of parent–infant conversations. <i>Journal of Speech, Language, and Hearing Research</i>, <i>67</i>(3), 886–899. https://doi.org/10.1044/2023_JSLHR-23-00389
DOI: 10.26030/9ee4-6s36
title: Drosophila parasitoids go to space: Unexpected and differential effects of spaceflight on hosts and their parasitoids - Wasp Leptopilina boulardi 17 data

description: In this study, fruit flies and their parasitic wasps were sent to the ISS to examine changes in host immunity and parasite virulence. Key findings from this work are as follows: (a) Spaceflight spiked the expression of inflammation genes in fruit flies; (b) Spaceflight enhanced tumor growth in flies already suffering from chronic inflammation; (c) Spaceflight did not significantly affect parasitic wasp development, emergence, or the expression of virulence genes; (d) Parasite mutants with visible wing color and shape alterations were obtained. This study contains Leptopilina boulardi 17 data. The drosophila data is deposited in OSD-588, https://osdr.nasa.gov/bio/repo/data/studies/OSD-588, and the Leptopilina heterotoma 14 data is deposited in OSD-609, https://osdr.nasa.gov/bio/repo/data/studies/OSD-609.
DOI: 10.6084/m9.figshare.25463995
title: Data from: Drivers of flight altitude during nocturnal bird migration over the North Sea and implications for offshore wind energy

description: The data provided belongs to the manuscript: Drivers of flight altitude during nocturnal bird migration over the North Sea and implications for offshore wind energy published in Conservation Science and Practice by Maja Bradarić, Bart Kranstauber, Willem Bouten, Hans van Gasteren and Judy Shamoun-Baranes.Files named "radar_data" contain information on track altitudes per timestamp and night collected during the spring and autumn migration seasons from 2019-2021 by radars positioned in Luchterduinen and Borssele wind farms off the western Dutch coast. The data provided has been post-processed according to the steps described in detail in the accompanying paper and supplementary information therein.Raw radar data, processed by the radar software, is collected by Rijkswaterstaat (the Dutch Ministry of Infrastructure and Water Management), and a copy is stored by the University of Amsterdam. For more information about the data, contact the authors.The files named "model_data" contain information about the hourly fraction of low-altitude migration (lt_ratio) throughout the spring and autumn migration seasons at both radar locations. They also contain hourly values of variables used in the model to explain the main drivers of low-altitude migration. The complete list of variables and their abbreviations is available in the associated paper.<br>
DOI: 10.34740/kaggle/dsv/7916941
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.6084/m9.figshare.25464055
title: Fatigue-related changes in running technique and mechanical variables after a maximal incremental test in recreational runners: a cross-sectional study

description: Understanding the changes in running mechanics caused by fatigue is essential to assess its impact on athletic performance. Changes in running biomechanics after constant speed conditions are well documented, but the adaptive responses after a maximal incremental test are unknown. We compared the spatiotemporal, joint kinematics, elastic mechanism and external work parameters before and after a maximal incremental treadmill test.
DOI: 10.23641/asha.23969103
title: Helping school-age children and adolescents build sentence skills (Balthazar & Scott, 2023)

description: <b>Purpose:</b> In this article, we present key concepts pointing to the importance of targeting complex sentences for school-age children and adolescents with developmental language disorders (DLD). Drawing on current treatment research, we argue that the sentence is a crucial but often neglected piece of the puzzle when it comes to understanding relationships between DLD and academic outcomes. We provide detailed suggestions for how clinicians can focus on complex sentence structures in natural academic contexts to bridge this gap.<b>Method:</b> Background information on sentence complexity is presented, along with a rationale for targeting complex sentences with school-age children and adolescents with DLD. Intervention methods from a variety of studies targeting multiclausal sentences are discussed in relation to current accounts of language learning and language processing models. We provide a robust catalog of suggested strategies for targeting sentence complexity in a manner that is aligned with research findings to date and integrated into real academic contexts.<b>Conclusions: </b>Complex sentence structures are a key challenge for students with DLD as they tackle discipline-specific language and academic tasks. Sentence complexity treatment programs employ one or more treatment methods including priming, modeling, recasting, contextualization, metalinguistic instruction, and sentence combining. While studies have consistently shown a measurable improvement in complex sentence production on proximal outcomes regardless of treatment approach, evidence of durable, functional changes for students with DLD remains sparse. We encourage new treatments that target comprehension and production of complex sentences in real-life academic contexts in clinical practice and research.<b>Supplemental Material S1. </b>Summary of sentence complexity intervention methods found in studies targeting multiclausal sentences for school-age children and adolescents with developmental language disorder.Balthazar, C. H., & Scott, C. M. (2023). Sentences are key: Helping school-age children and adolescents build sentence skills needed for real language. <i>American Journal of Speech-Language Pathology</i>, <i>33</i>(2), 564–579. https://doi.org/10.1044/2023_AJSLP-23-00038<b>Publisher Note: </b>This article is part of the Forum: Developmental Language Disorders Intervention.
DOI: 10.23641/asha.23969103.v1
title: Helping school-age children and adolescents build sentence skills (Balthazar & Scott, 2023)

description: <b>Purpose:</b> In this article, we present key concepts pointing to the importance of targeting complex sentences for school-age children and adolescents with developmental language disorders (DLD). Drawing on current treatment research, we argue that the sentence is a crucial but often neglected piece of the puzzle when it comes to understanding relationships between DLD and academic outcomes. We provide detailed suggestions for how clinicians can focus on complex sentence structures in natural academic contexts to bridge this gap.<b>Method:</b> Background information on sentence complexity is presented, along with a rationale for targeting complex sentences with school-age children and adolescents with DLD. Intervention methods from a variety of studies targeting multiclausal sentences are discussed in relation to current accounts of language learning and language processing models. We provide a robust catalog of suggested strategies for targeting sentence complexity in a manner that is aligned with research findings to date and integrated into real academic contexts.<b>Conclusions: </b>Complex sentence structures are a key challenge for students with DLD as they tackle discipline-specific language and academic tasks. Sentence complexity treatment programs employ one or more treatment methods including priming, modeling, recasting, contextualization, metalinguistic instruction, and sentence combining. While studies have consistently shown a measurable improvement in complex sentence production on proximal outcomes regardless of treatment approach, evidence of durable, functional changes for students with DLD remains sparse. We encourage new treatments that target comprehension and production of complex sentences in real-life academic contexts in clinical practice and research.<b>Supplemental Material S1. </b>Summary of sentence complexity intervention methods found in studies targeting multiclausal sentences for school-age children and adolescents with developmental language disorder.Balthazar, C. H., & Scott, C. M. (2023). Sentences are key: Helping school-age children and adolescents build sentence skills needed for real language. <i>American Journal of Speech-Language Pathology</i>, <i>33</i>(2), 564–579. https://doi.org/10.1044/2023_AJSLP-23-00038<b>Publisher Note: </b>This article is part of the Forum: Developmental Language Disorders Intervention.
DOI: 10.5066/p143ztb2
title: Cactus Wren Invertebrate Diet Derived from Sequencing of Nestling Fecal Samples in San Diego County, California

description: This dataset contains the invertebrates (identified to Order and Family) present in Cactus Wren nestling fecal samples and found using DNA sequencing (metabarcoding) methods. Nestling fecal samples were collected from one or more handled nestlings per territory collected between April and July of 2015 through 2019 in San Diego, California. The steps to process these data are detailed in the Data Quality section.

These data support the following publication:
Lynn, S., Houston, A., and Kus, B.E., 2022, Distribution and demography of Coastal Cactus Wrens in Southern California, 2015–19: U.S. Geological Survey Open-File Report 2022-1044, 44 p., https://doi.org/10.3133/ofr20221044.
DOI: 10.34740/kaggle/dsv/7916963
title: Gender Economic Inequality
DOI: 10.5066/p138fqqi
title: Evaluating the impact of differences in remnant and reconstruction mycorrhizas on performance of conservative prairie plant species

description: This data record contains arbuscular mycorrhizal fungi (AMF) operational taxonomic unit (OTU) occurrences in native prairie plant roots collected from remnant prairies and reconstruction of tallgrass prairies in Minnesota and Iowa, from April-December of 2022. The research aims to improve prairie reconstruction methods using AMF to improve prairie plant performance, species diversity, and resistance to invasive cool-season grasses. The data in this release includes 5 data sets. Three describe the AMF: 1) SampleID_and_OTU_readcount_tier2_data.csv provides the number of reads for each OTU identified in each sample; 2) OTU_assigned_taxonomy_FunGuild.csv includes a collated list of all the taxonomic guilds of the identified OTUs; 3) AMF_phylotypes.csv summarizes the 21 distinct phylotypes represented in the data. Competition_experiment_SamplesIds_and_replicates.csv provides a link between the AMF OTUs and the experimental units from which they were extracted. Finally, Greenhousecountdata.csv is the complete growth and weight data for each plant in the experiment with its corresponding ID, which allows these data to be linked to the AMF data.
DOI: 10.5281/zenodo.10855088
title: Darwin Dataset

description: This artifact contains the dataset used in experiments for the ICSE submission "Predictive Mutation Testing via Graph Neural Networks and Neural Architecture Search".

The filesystem is as follows:

defects4j_coverage/ - Coverage files for the projects

defects4j_graphs/ - The parsed graph representations generated by Darwin

defects4j_major_mutants/ - files generated by major used for forming labels

defects4j_pit_mutants/ - files generated by pit for forming labels

defects4j_raw_graphs/ - The raw graph representations generated by Darwin

major_labels.json - The labels for the major dataset

mutations.json - The one-hot encoding of mutants in the major dataset

PIT_labels.json - The labels for the PIT dataset

tokenDict.json - The one hot encoding for nodes in graphs
DOI: 10.34740/kaggle/dsv/7917019
title: Balochi Language to English Translation Dataset