cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28582943
title: Portfolios of Learning Evidence and Interview Assessments in a Mathematical Statistics Course

description: Considerable research suggests that traditional assessments in higher education are outdated, and newer, more authentic assessment strategies should be pursued. One such form of authentic assessment is a portfolio of learning evidence, and another is the oral interview or oral assessment. However, the portfolio and interview are not only methods of assessment, but also primary drivers of learning and creative thinking. In statistics and data science education, the portfolio of learning evidence and interview assessment have not been implemented widely, although some authors have explored the implications of assessments. This mixed-methods study examines the interplay between the use of portfolios and interview assessments in a mathematical statistics course and Fink’s framework for significant learning. The study finds that there are indeed numerous advantages that can be gained from using these novel methods instead of traditional learning and teaching methods.
DOI: 10.6084/m9.figshare.28582943.v1
title: Portfolios of Learning Evidence and Interview Assessments in a Mathematical Statistics Course

description: Considerable research suggests that traditional assessments in higher education are outdated, and newer, more authentic assessment strategies should be pursued. One such form of authentic assessment is a portfolio of learning evidence, and another is the oral interview or oral assessment. However, the portfolio and interview are not only methods of assessment, but also primary drivers of learning and creative thinking. In statistics and data science education, the portfolio of learning evidence and interview assessment have not been implemented widely, although some authors have explored the implications of assessments. This mixed-methods study examines the interplay between the use of portfolios and interview assessments in a mathematical statistics course and Fink’s framework for significant learning. The study finds that there are indeed numerous advantages that can be gained from using these novel methods instead of traditional learning and teaching methods.
DOI: 10.6084/m9.figshare.30329956
title: Creative Conflict: <i>Reacting to the Past</i> Roleplaying Games in the Introductory Statistics Classroom

description: <i>Reacting to the Past</i> is a game-based pedagogy in which students take on roles in a broader historical conflict with elements of game fiction, competition, and collaboration. This paper introduces two <i>Reacting to the Past games</i> developed for introductory statistics courses: “<i>The Cigarette Century”: Tobacco and Lung Cancer, 1964-1965</i> and <i>Cholera! at the Pump: Contagionism, Miasma Theory and Sanitation, London 1854</i>. Both games are used to teach specific statistical content including measures of risk, data visualization, and hypothesis testing while also using historical context and real datasets to emphasize statistical thinking and provide relevance. <i>Reacting to the Past</i> games as high impact practices are strongly in alignment with the 2016 GAISE recommendations including conceptual understanding, use of real data, and active learning. Both games were implemented in an “Applied Statistics for the Biological Sciences” course at a public four-year university. Students enrolled in the course (N = 115 over five semesters from Spring 2023 to Spring 2025) were primarily juniors or seniors (63%) and Biology or Human Health Science majors (75%). Assessment of performance in the games is based on portfolios that include scaffolded background research, posters presentations, labs, and reflections. Course evaluations show students generally found the games to be fun, interactive, and effective at teaching statistical thinking, although some students struggled with historical language, workload, and complexity of the projects. Both the <i>Cigarette Century and Cholera 1854</i> games and additional games are available through the Reacting Consortium by instructor subscription ($25-$150 annually, income-based). The student-facing game books discussed in this paper are reproduced in the Supplementary Materials with permission from the authors and publisher. In addition, full game materials for <i>Cigarette Century and Cholera 1854</i> are available at no cost on the Reacting website for one month following the publication of this article in a Journal’s Issue.
DOI: 10.6084/m9.figshare.30329956.v2
title: Creative Conflict: <i>Reacting to the Past</i> Roleplaying Games in the Introductory Statistics Classroom

description: <i>Reacting to the Past</i> is a game-based pedagogy in which students take on roles in a broader historical conflict with elements of game fiction, competition, and collaboration. This paper introduces two <i>Reacting to the Past games</i> developed for introductory statistics courses: “<i>The Cigarette Century”: Tobacco and Lung Cancer, 1964-1965</i> and <i>Cholera! at the Pump: Contagionism, Miasma Theory and Sanitation, London 1854</i>. Both games are used to teach specific statistical content including measures of risk, data visualization, and hypothesis testing while also using historical context and real datasets to emphasize statistical thinking and provide relevance. <i>Reacting to the Past</i> games as high impact practices are strongly in alignment with the 2016 GAISE recommendations including conceptual understanding, use of real data, and active learning. Both games were implemented in an “Applied Statistics for the Biological Sciences” course at a public four-year university. Students enrolled in the course (N = 115 over five semesters from Spring 2023 to Spring 2025) were primarily juniors or seniors (63%) and Biology or Human Health Science majors (75%). Assessment of performance in the games is based on portfolios that include scaffolded background research, posters presentations, labs, and reflections. Course evaluations show students generally found the games to be fun, interactive, and effective at teaching statistical thinking, although some students struggled with historical language, workload, and complexity of the projects. Both the <i>Cigarette Century and Cholera 1854</i> games and additional games are available through the Reacting Consortium by instructor subscription ($25-$150 annually, income-based). The student-facing game books discussed in this paper are reproduced in the Supplementary Materials with permission from the authors and publisher. In addition, full game materials for <i>Cigarette Century and Cholera 1854</i> are available at no cost on the Reacting website for one month following the publication of this article in a Journal’s Issue.
DOI: 10.6084/m9.figshare.28220315
title: An Investigation Designed to Teach Statistical Thinking in the Midst of the COVID-19 Pandemic: Are Teens Living Like Vampires?

description: An Investigation Designed to Teach Statistical Thinking in the Midst of the COVID-19 Pandemic: Are Teens Living Like Vampires?
DOI: 10.6084/m9.figshare.28220315.v1
title: An Investigation Designed to Teach Statistical Thinking in the Midst of the COVID-19 Pandemic: Are Teens Living Like Vampires?

description: An Investigation Designed to Teach Statistical Thinking in the Midst of the COVID-19 Pandemic: Are Teens Living Like Vampires?
DOI: 10.6084/m9.figshare.30096410
title: Supporting Middle School Students’ Understanding of Time-Series Data With Graph Comparisons

description: After participating in an afterschool program where they used the Common Online Data Analysis Platform (CODAP) to study time-series data about infectious diseases, four middle school students were interviewed to determine how they understood features of and trends within these graphs. Our focus was on how students compared graphs. Students were readily able to compare cumulative/total infection rates among two countries with differently sized populations. It was more challenging for them to link a graph of yearly cases to the corresponding graph of cumulative cases. Students offered reasonable interpretations for spikes or steady periods in the graphs. Time-series graphs are accessible for 11- to 14-year-old students, who were able to make comparisons within and between graphs. Students used proportional reasoning for one comparison task, and on the other task, while it was challenging, they were beginning to understand how yearly and cumulative graphs were related. Time-series graphs are ubiquitous and socially relevant: Students should study time-series data more regularly in school, and more research is needed on the progression of sense-making with these graphs.
DOI: 10.6084/m9.figshare.30096410.v2
title: Supporting Middle School Students’ Understanding of Time-Series Data With Graph Comparisons

description: After participating in an afterschool program where they used the Common Online Data Analysis Platform (CODAP) to study time-series data about infectious diseases, four middle school students were interviewed to determine how they understood features of and trends within these graphs. Our focus was on how students compared graphs. Students were readily able to compare cumulative/total infection rates among two countries with differently sized populations. It was more challenging for them to link a graph of yearly cases to the corresponding graph of cumulative cases. Students offered reasonable interpretations for spikes or steady periods in the graphs. Time-series graphs are accessible for 11- to 14-year-old students, who were able to make comparisons within and between graphs. Students used proportional reasoning for one comparison task, and on the other task, while it was challenging, they were beginning to understand how yearly and cumulative graphs were related. Time-series graphs are ubiquitous and socially relevant: Students should study time-series data more regularly in school, and more research is needed on the progression of sense-making with these graphs.
DOI: 10.15139/s3/yd0xs9
title: Data Management and Sharing Plan for: Function and regulation of chromatin remodeling complexes in cardiac development and disease

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.34740/kaggle/dsv/14630232
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.g6vxdb
title: Occurrence Download

description: A dataset containing 4687 species occurrences available in GBIF matching the query:
{
 "CollectionKey" : [
 "is f2b9b359-0513-46b0-859e-412b351f04bb"
 ]
}

 The dataset includes 4687 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000337-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avptbs
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myomyscus angolensis"
 ]
}

 The dataset includes 191 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000336-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48mjnu
title: Occurrence Download

description: A dataset containing 370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Curculio dentipes"
 ]
}

 The dataset includes 370 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000339-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18379851
title: Evolutionary Game Theory Reveals Modular Specialization as a Universal Solution to Neural Trade-offs

description: This dataset contains the simulation results, source code, and analysis of an evolutionary game theory model investigating neural architectural trade-offs. We prove that modular neural architectures (segregated transport and memory) emerge as evolutionarily stable strategies (ESS) when cognitive systems face conflicting computational demands (high-noise transport vs. low-noise memory).

Using replicator dynamics with 90 competing strategies across 441 environmental conditions, the data demonstrates that modular specialization yields a +6% to +31% reproductive fitness advantage over global architectures, leading to a 99.86% population takeover.
DOI: 10.34740/kaggle/dsv/10922046
title: AI effect on employment
DOI: 10.15468/dl.kwankk
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-113.82508 38.00936,-109.56454 38.00936,-109.56454 42.02453,-113.82508 42.02453,-113.82508 38.00936))",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliopsis philiphunteri"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000340-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cw36r
title: Occurrence Download

description: A dataset containing 661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panopeus africanus"
 ]
}

 The dataset includes 661 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000342-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.7rh4625
title: Distinct predatory behaviors in scimitar- and dirk-toothed sabertooth cats

description: Over the Cenozoic, large cat-like forms have convergently evolved into
 specialized killers of ‘megaherbivores’ that relied on their large, and
 laterally-compressed (saber-like) canines to rapidly subdue their prey
 [1-5]. Scimitar- and dirk-toothed sabertooths are distinct ecomorphs that
 differ in canine tooth length, degree of serration, and postcranial
 features indicative of dissimilar predatory behavior [6-13]. Despite these
 differences, it is assumed that they used a similar ‘canine-shear’ bite to
 kill their prey [14,15]. We investigated the killing behavior of the
 scimitar-toothed Homotherium serum and the dirk-toothed Smilodon fatalis
 using a comparative sample of living carnivores and a new quantitative
 approach to the analysis of skull function. For the first time, we
 quantified differences in the relative amount and distribution of cortical
 and trabecular bone in coronal sections of skulls to assess relative skull
 stiffness and flexibility [16-19]. We also use finite element analysis to
 simulate various killing scenarios that load skulls in ways that likely
 favor distinct proportions of cortical versus trabecular bone across the
 skull. Our data reveal that S. fatalis had an extremely thick skull and
 relatively little trabecular bone, consistent with a large investment in
 cranial strength for a stabbing canine-shear-bite. However, H. serum had
 more trabecular bone, and likely deployed an unusual predatory behavior
 more similar to the clamp-and-hold technique of the lion than S. fatalis.
 These data broaden the killing repertoire of sabertooths and highlight the
 degree of ecological specialization among members of the large carnivore
 guild during the Late Pleistocene of North America.
DOI: 10.5061/dryad.2d7b8
title: Data from: Complex selection on a regulator of social cognition: evidence of balancing selection, regulatory interactions and population differentiation in the prairie vole Avpr1a locus

description: Adaptive variation in social behavior depends upon standing genetic
 variation, but we know little about how evolutionary forces shape genetic
 diversity relevant to brain and behavior. In prairie voles (Microtus
 ochrogaster), variants at the Avpr1a locus predict expression of the
 vasopressin 1a receptor in the retrosplenial cortex (RSC), a brain region
 that mediates spatial and contextual memory; cortical V1aR abundance in
 turn predicts diversity in space-use and sexual fidelity in the field. To
 examine the potential contributions of adaptive and neutral forces to
 variation at the Avpr1a locus, we explore sequence diversity at the Avpr1a
 locus and throughout the genome in two populations of wild prairie voles.
 First, we refine results demonstrating balancing selection at the locus by
 comparing the frequency spectrum of variants at the locus to a random
 sample of the genome. Next, we find that the four SNPs that predict high
 V1aR expression in the RSC are in stronger linkage disequilibrium than
 expected by chance despite high recombination among intervening variants,
 suggesting that epistatic selection maintains their association despite
 recombination. Analysis of population structure and a haplotype network
 for two populations revealed that this excessive LD was unlikely to be due
 to admixture alone. Furthermore, the two populations differed considerably
 in the region shown to be a regulator of V1aR expression despite the
 extremely low levels of genome-wide genetic differentiation. Together, our
 data suggest that complex selection on Avpr1a locus favors specific
 combinations of regulatory polymorphisms, maintains the resulting alleles
 at populations-specific frequencies, and may contribute to unique patterns
 of spatial cognition and sexual fidelity among populations.
description: Data and scripts to plot
 and analyse complex selection in two populations of prairie
 volesThis repository contains
 the data necessary to plot each figure from 1 to 4, and S1 and S2. Also in
 folder Haploview_Slider_PopArt_data, we include the nucleotide alignments
 and and output data from haploview, and input data for popart, slider and
 dnasp5. In the root, we included two excel files. Raw scores of haplotypes
 and data procesing for generating input files for haploview and
 phase.Berrio2017.zip
DOI: 10.5061/dryad.s3j9074
title: Data from: The evolution of marine larval dispersal kernels in spatially structured habitats: analytical models, individual-based simulations, and comparisons with empirical estimates

description: Understanding the causes of larval dispersal is a major goal of marine
 ecology, yet most research focuses on proximate causes. Here, we ask how
 ultimate, evolutionary causes affect dispersal. Building on Hamilton and
 May's 1977 classic paper (``Dispersal in stable habitats"), we
 develop analytic and simulation models for the evolution of dispersal
 kernels in spatially structured habitats. First, we investigate dispersal
 in a world without edges and find that most offspring disperse as far as
 possible, opposite the pattern of empirical data. Adding edges to our
 model world leads to nearly all offspring dispersing short distances,
 again a mismatch with empirical data. Adding resource heterogeneity
 improves our results: most offspring disperse short distances with some
 dispersing longer distances. Finally, we simulate dispersal evolution in a
 real seascape in Belize and find that the simulated dispersal kernel and
 an empirical dispersal kernel from that seascape both have the same shape,
 with a high level of short-distance dispersal and a low level of
 long-distance dispersal. The novel contribution of this work is to provide
 a spatially explicit analytic extension of Hamilton and May 1977, to
 demonstrate that our spatially explicit simulations and analytic models
 provide equivalent results, and to use simulation approaches to
 investigate the evolution of dispersal kernel shape in spatially complex
 habitats. Our model could be modified in various ways to investigate
 dispersal evolution in other species and seascapes, providing new insights
 into patterns of marine larval dispersal.
description: READMEContains readme and
 notes for all files.README.txtfiles_runsimsContains Matlab code (.m files) for running model simulation data used for Figures 2-4 in the paper.output_environmentsContains Matlab data files (.mat files) for each type of simulation environment.output_simulationsContains Matlab data files (.mat files) for each individual-based simulation.files_plotsimsContains Matlab code (.m files) for plotting Figures 2-4 in the paper, using the above .mat files.files_plotcomparisonsContains Matlab code (.m files), R code (.R files) and data files (.csv) to compare simulated and empirical data and to plot Figure 5 in the paper.
DOI: 10.5061/dryad.08vv50n
title: Data from: Gene discovery in Gelsemium highlights conserved gene clusters in monoterpene indole alkaloid biosynthesis

description: [No abstract filled]
description: gel_v1_asm.fastaGenome assembly of Gelsemium sempervirens (version 1), containing 3,352 scaffold sequencescro_v2_asm.fastaGenome assembly of Catharanthus roseus (version 2), containing 2,090 scaffold sequencesgel_v1.gene_models.gff3Gene Model Annotation for Gelsemium sempervirens (version 1) in Generic Feature Format 3 (GFF3)gel_v1.transcripts.fastaGelsemium sempervirens (version 1) transcript sequencesgel_v1.proteins.fastaGelsemium sempervirens (version 1) protein sequencescro_v2.gene_models.gff3Gene Model Annotation for Catharanthus roseus (version 2) in Generic Feature Format 3 (GFF3)cro_v2.transcripts.fastaCatharanthus roseus (version 2) transcript sequencescro_v2.proteins.fastaCatharanthus roseus (version 2) protein sequencesREADME.txtREADME.txtREADME.txt
DOI: 10.5061/dryad.n2q7f
title: Data from: "Comparative genomic resources for spiny lizards (genus Sceloporus)" in Genomic Resources Notes accepted 1 August 2014-30 September 2014

description: To advance comparative genomic studies of the spiny fence lizards (genus
 Sceloprous), we provide the genomic annotations for 35 Sceloporus species.
description: Sceloporus GFF3
 annotation filesAnnotation, gene
 ontology, and genomic sequences in GFF3 formatsceloporus_gff.tar.gzOrthologous groupsOrthologous groups predicted by OrthoMCL. Datasets included: 35 Sceloporus species, plus the Anolis carolinensis, Gallus gallus, and human proteins.sceloporus_ortho_groups.txt