cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24514296.v1
title: In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior

description: In problems with large amounts of missing data one must model two distinct data generating processes: the outcome process, which generates the response, and the missing data mechanism, which determines the data we observe. Under the <i>ignorability</i> condition of Rubin (1976), however, likelihood-based inference for the outcome process does not depend on the missing data mechanism so that only the former needs to be estimated; partially because of this simplification, ignorability is often used as a baseline assumption. We study the implications of Bayesian ignorability in the presence of high-dimensional nuisance parameters and argue that ignorability is typically incompatible with sensible prior beliefs about the amount of confounding bias. We show that, for many problems, ignorability directly implies that the prior on the selection bias is tightly concentrated around zero. This is demonstrated on several models of practical interest, and the effect of ignorability on the posterior distribution is characterized for high-dimensional linear models with a ridge regression prior. We then show both how to build high-dimensional models that encode sensible beliefs about the confounding bias and also show that under certain narrow circumstances ignorability is less problematic.
DOI: 10.6084/m9.figshare.24514296
title: In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior

description: In problems with large amounts of missing data one must model two distinct data generating processes: the outcome process, which generates the response, and the missing data mechanism, which determines the data we observe. Under the <i>ignorability</i> condition of Rubin (1976), however, likelihood-based inference for the outcome process does not depend on the missing data mechanism so that only the former needs to be estimated; partially because of this simplification, ignorability is often used as a baseline assumption. We study the implications of Bayesian ignorability in the presence of high-dimensional nuisance parameters and argue that ignorability is typically incompatible with sensible prior beliefs about the amount of confounding bias. We show that, for many problems, ignorability directly implies that the prior on the selection bias is tightly concentrated around zero. This is demonstrated on several models of practical interest, and the effect of ignorability on the posterior distribution is characterized for high-dimensional linear models with a ridge regression prior. We then show both how to build high-dimensional models that encode sensible beliefs about the confounding bias and also show that under certain narrow circumstances ignorability is less problematic.
DOI: 10.6084/m9.figshare.23811522
title: Ecosystem Education with Augmented Reality: A Flexible Tool for In-Field Learning

description: Field-based learning is central to education in the biogeosciences, but COVID-19 and perennial challenges of large classes, short class times, and crowded schedules make exploration of alternative tools for field education more urgent than ever. Augmented reality (AR) is one candidate, allowing students to visit sites on their own time using a mobile app that guides them through a field trip via geolocationally triggered audio, images, and other media. Research into AR’s pedagogical effectiveness is in its infancy, seldom directly comparing delivery of the same field learning activity via AR versus in person, or investigating AR’s pedagogical value beyond the cognitive domain. To address this gap, we developed an AR version of an existing forest ecology field trip to a Douglas fir forest remnant in Vancouver, British Columbia, in a large undergraduate biogeoscience course, and compared student experiences of both versions. The study showed that AR can overcome obstacles to effective field education in large courses and deliver significant pedagogical benefits compared to conventional field trips, including engagement, enjoyment, flexibility, accessibility, and learning supports. With effective instructions and technological contingency planning, AR can be an effective tool for geoscientific field education and help address some larger pedagogical issues facing higher education.
DOI: 10.6084/m9.figshare.23811522.v1
title: Ecosystem Education with Augmented Reality: A Flexible Tool for In-Field Learning

description: Field-based learning is central to education in the biogeosciences, but COVID-19 and perennial challenges of large classes, short class times, and crowded schedules make exploration of alternative tools for field education more urgent than ever. Augmented reality (AR) is one candidate, allowing students to visit sites on their own time using a mobile app that guides them through a field trip via geolocationally triggered audio, images, and other media. Research into AR’s pedagogical effectiveness is in its infancy, seldom directly comparing delivery of the same field learning activity via AR versus in person, or investigating AR’s pedagogical value beyond the cognitive domain. To address this gap, we developed an AR version of an existing forest ecology field trip to a Douglas fir forest remnant in Vancouver, British Columbia, in a large undergraduate biogeoscience course, and compared student experiences of both versions. The study showed that AR can overcome obstacles to effective field education in large courses and deliver significant pedagogical benefits compared to conventional field trips, including engagement, enjoyment, flexibility, accessibility, and learning supports. With effective instructions and technological contingency planning, AR can be an effective tool for geoscientific field education and help address some larger pedagogical issues facing higher education.
DOI: 10.6084/m9.figshare.24514297
title: Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces

description: The distribution function is essential in statistical inference and connected with samples to form a directed closed loop by the correspondence theorem in measure theory and the Glivenko-Cantelli and Donsker properties. This connection creates a paradigm for statistical inference. However, existing distribution functions are defined in Euclidean spaces and are no longer convenient to use in rapidly evolving data objects of complex nature. It is imperative to develop the concept of the distribution function in a more general space to meet emerging needs. Note that the linearity allows us to use hypercubes to define the distribution function in a Euclidean space. Still, without the linearity in a metric space, we must work with the metric to investigate the probability measure. We introduce a class of metric distribution functions through the metric only. We overcome this challenging step by proving the correspondence theorem and the Glivenko-Cantelli theorem for metric distribution functions in metric spaces, laying the foundation for conducting rational statistical inference for metric space-valued data. Then, we develop a homogeneity test and a mutual independence test for non-Euclidean random objects and present comprehensive empirical evidence to support the performance of our proposed methods.
DOI: 10.6084/m9.figshare.24514299
title: Enveloped Huber Regression

description: Huber regression (HR) is a popular flexible alternative to the least squares regression when the error follows a heavy-tailed distribution. We propose a new method called the enveloped Huber regression (EHR) by considering the envelope assumption that there exists some subspace of the predictors that has no association with the response, which is referred to as the immaterial part. More efficient estimation is achieved via the removal of the immaterial part. Different from the envelope least squares (ENV) model whose estimation is based on maximum normal likelihood, the estimation of the EHR model is through Generalized Method of Moments. The asymptotic normality of the EHR estimator is established, and it is shown that EHR is more efficient than HR. Moreover, EHR is more efficient than ENV when the error distribution is heavy-tailed, while maintaining a small efficiency loss when the error distribution is normal. Moreover, our theory also covers the heteroscedastic case in which the error may depend on the covariates. The envelope dimension in EHR is a tuning parameter to be determined by the data in practice. We further propose a novel generalized information criterion (GIC) for dimension selection and establish its consistency. Extensive simulation studies confirm the messages from our theory. EHR is further illustrated on a real dataset.
DOI: 10.6084/m9.figshare.24514299.v1
title: Enveloped Huber Regression

description: Huber regression (HR) is a popular flexible alternative to the least squares regression when the error follows a heavy-tailed distribution. We propose a new method called the enveloped Huber regression (EHR) by considering the envelope assumption that there exists some subspace of the predictors that has no association with the response, which is referred to as the immaterial part. More efficient estimation is achieved via the removal of the immaterial part. Different from the envelope least squares (ENV) model whose estimation is based on maximum normal likelihood, the estimation of the EHR model is through Generalized Method of Moments. The asymptotic normality of the EHR estimator is established, and it is shown that EHR is more efficient than HR. Moreover, EHR is more efficient than ENV when the error distribution is heavy-tailed, while maintaining a small efficiency loss when the error distribution is normal. Moreover, our theory also covers the heteroscedastic case in which the error may depend on the covariates. The envelope dimension in EHR is a tuning parameter to be determined by the data in practice. We further propose a novel generalized information criterion (GIC) for dimension selection and establish its consistency. Extensive simulation studies confirm the messages from our theory. EHR is further illustrated on a real dataset.
DOI: 10.57830/2301350
title: A Dataset of Amphibian Species in U.S. National Parks, Version 1.2

description: National parks and other protected areas are important for preserving landscapes and biodiversity worldwide. An essential component of the mission of the United States (U.S.) National Park Service (NPS) requires understanding and maintaining accurate inventories of species on protected lands. We describe a new, national-scale synthesis of amphibian species occurrence in the NPS system. Many park units have a list of amphibian species observed within their borders compiled from various sources and available publicly through the NPSpecies platform. However, many of the observations in NPSpecies remain unverified and the lists are often outdated. We updated the amphibian dataset for each park unit by collating old and new park-level records and had them verified by regional experts. The new dataset contains occurrence records for 292 of the 424 NPS units and includes updated taxonomy, international and state conservation rankings, hyperlinks to a supporting reference for each record, specific notes, and related fields which can be used to better understand and manage amphibian biodiversity within a single park or group of parks.
DOI: 10.17877/de290r-24012
title: Ein simulierter Datensatz zur Erprobung und Veranschaulichung quantitativer Methoden der Datenanalyse

description: Dieser Datensatz wurde von Christian Kißler mit R simuliert. Die Daten in diesem Datensatz stellen keine tatsächlich erhobenen Daten dar, sondern wurden generiert, um mit ihnen statistische Prinzipien verdeutlichen zu können. Der Datensatz ist daher insbesondere für Lehrzwecke geeignet. Der Datensatz darf frei verwendet sowie bearbeitet und verbreitet werden, insofern der Autor nach den Gepflogenheiten zur Angabe wissenschaftlicher Quellen korrekt angegeben wird. Empfehlung zur Quellenangabe: "Kißler, Christian (2023). Ein simulierter Datensatz zur Erprobung und Veranschaulichung quantitativer Methoden der Datenanalyse. Eldorado." Dieser Datensatz gehört zu dem Buch: „Eine praktische Einführung in die Statistik mit R und RStudio – Ein Lehrskript für Studierende der Rehabilitationspädagogik, Rehabilitationswissenschaften sowie (Sonder-)Pädagogik“ von Christian Kißler, Florian Krieger und Jörg-Tobias Kuhn.
DOI: 10.3886/e130201v1-142870
title: Data and Code for: Hours, Occupations, and Gender Differences in Labor Market Outcomes

description: Goldin (2014) offers a narrative in which gender differences in home production responsibilities create gender gaps in labor market outcomes. We carry out a model based quantitative assessment of this narrative and find that empirically reasonable gender differences in home production time account for a significant share of gender gaps in three labor market outcomes: occupational choice, wages, and hours. Our analysis emphasizes two key elements not highlighted by Goldin (2014). One is heterogeneity in comparative advantage. This feature generates selection effects that are crucial for the model to be consistent with the fact that the gender wage gap is uncorrelated with occupational mean hours. Second, we explicitly model multi-member households that make joint decisions about occupational choice and hours of market work. Family interactions are a quantitatively important source of amplification. Gender differences in nonmarket responsibilities can have important aggregate effects on welfare and productivity, similar to those emphasized by Hsieh, Hurst, Jones and Klenow (2019).
description: Individuals aged 22-64 living in the United States.
DOI: 10.25345/c5hh6ch0w
title: MassIVE MSV000093318 - Mateo Fernandez ilex guayusa QC20ev
title: FAST DDA chromatograms, sample processing method, methylxanthines, sample in positive polarity, collision energy 20ev
DOI: 10.5281/zenodo.10076468
title: ormyrus_rosae_decontaminated_FSCR.fasta.gz

description: ormyrus_rosae_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10076467
title: ormyrus_rosae_decontaminated_FSCR.fasta.gz

description: ormyrus_rosae_decontaminated_FSCR.fasta.gz
DOI: 10.25345/c5cr5np7m
title: MassIVE MSV000093319 - Mateo Fernandez ilex guayusa QC40ev
title: FAST DDA chromatograms, sample processing method, methylxanthines, sample in positive polarity, collision energy 40ev
DOI: 10.5281/zenodo.10076481
title: ormyrus_thymus_decontaminated_FSCR.fasta.gz

description: ormyrus_thymus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10076480
title: ormyrus_thymus_decontaminated_FSCR.fasta.gz

description: ormyrus_thymus_decontaminated_FSCR.fasta.gz
DOI: 10.13026/n938-2385
title: Characterization of Stigmatizing Language in Medical Records

description: Widespread disparities in clinical outcomes exist between different
demographic groups in the United States. A new line of work in medical
sociology has demonstrated physicians often use stigmatizing language in
electronic medical records within certain groups, such as black patients,
which may exacerbate disparities. The first step to addressing the presence of
stigmatizing language in medical records is identifying it and characterizing
its impact. Towards this end, we release a suite of neural and non-neural
classifiers trained in a supervised manner to recognize three types of
stigmatizing language found in discharge notes from the MIMIC-IV dataset. We
also release the set of 5,043 annotations from 4,710 notes (4,259 patients)
used to train and evaluate our models. These resources provide a foundation
for NLP researchers to contribute timely insights to a problem domain brought
to the forefront by recent legislation regarding clinical documentation
transparency.
DOI: 10.5281/zenodo.10076054
title: Evolving therapies, neurocognitive outcomes, and functional independence in adult survivors of childhood glioma
DOI: 10.5281/zenodo.10076053
title: Evolving therapies, neurocognitive outcomes, and functional independence in adult survivors of childhood glioma
DOI: 10.6084/m9.figshare.24514408
title: PDB/XYZ Atomic Configuration Files: Aluminum Polycrystal Example

description: Example Aluminum polycrystalline atomic configuration files in PDB and extXYZ format.<b>Notes</b>PDB file does not delineate grain and grain-boundary atoms.extXYZ file provides additional column to delineate atoms. Labels are "Other" and "FCC".
DOI: 10.6084/m9.figshare.24514408.v1
title: PDB/XYZ Atomic Configuration Files: Aluminum Polycrystal Example

description: Example Aluminum polycrystalline atomic configuration files in PDB and extXYZ format.<b>Notes</b>PDB file does not delineate grain and grain-boundary atoms.extXYZ file provides additional column to delineate atoms. Labels are "Other" and "FCC".
DOI: 10.34740/kaggle/dsv/6902866
title: HR Analytics
DOI: 10.48497/czp9-mx51
title: Data Set: Face Masks Degrade our Ability to Remember Face-Name Associations More Than Predicted by Judgments of Learning
DOI: 10.25345/c5833n851
title: MassIVE MSV000093320 - Essential role of STAT5 tyrosine phosphorylation in vivo
title: STAT5 proteins are vital for lymphocyte development and function. Tyrosine phosphorylation of a C-terminal tyrosine is the key event in cytokine activation of STAT5A and STAT5B. However, the role of STAT5 tyrosine phosphorylation has not been assessed in vivo. Here we generated Stat5a and Stat5b tyrosine mutant knock-in (KI) mice and found that these animals had greatly reduced CD8+ T cell numbers. These cells exhibited profoundly diminished proliferation in response to IL-2, correlating with greatly reduced IL-2-induced pRB and a block in the G1--&gt;S phase transition. The mutant cells also exhibited decreased IL-2-mediated activation of pERK and pAKT, which can in part be attributed to diminished IL-2-induced expression of IL-2R-beta and IL-2R-gamma. Our findings highlight that the tyrosine phosphorylation of both STAT5A and STAT5B is essential for maximal IL-2 signaling and elucidate the molecular basis for achieving an optimal mitogenic effect of IL-2 on CD8+ T cells.
DOI: 10.21227/ygr8-gf58
title: CAVE-HSI

description: The database consists of 32 scenes, divided into 5 sections. Each scene has an associated zip file. These zip files include full spectral resolution reflectance data from 400nm to 700nm at 10nm steps (31 bands total). Each band is stored as a 16-bit grayscale PNG image. Image filenames are of the format 'object_ms_01.png', where the '01' at the end signifies that this is the first image (captured at 400nm). Thus, '02' corresponds to 410nm, and so on, until '31' for 700nm.Each scene also contains a single representative color image, displayed using sRGB values rendered under a neutral daylight illuminant (D65).
DOI: 10.5517/ccdc.csd.cc2f23l7
title: CCDC 2236358: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fang Duan, Li-Peng Zhou, Hao-Ran Li, Shao-Jun Hu, Wei Zheng, Xin Xu, Ruiling Zhang, Xueyuan Chen, Xiao-Qing Guo, Qing-Fu Sun|2023|J.Am.Chem.Soc.|145|23121|doi:10.1021/jacs.3c06775
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f23m8
title: CCDC 2236359: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fang Duan, Li-Peng Zhou, Hao-Ran Li, Shao-Jun Hu, Wei Zheng, Xin Xu, Ruiling Zhang, Xueyuan Chen, Xiao-Qing Guo, Qing-Fu Sun|2023|J.Am.Chem.Soc.|145|23121|doi:10.1021/jacs.3c06775
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f23n9
title: CCDC 2236360: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fang Duan, Li-Peng Zhou, Hao-Ran Li, Shao-Jun Hu, Wei Zheng, Xin Xu, Ruiling Zhang, Xueyuan Chen, Xiao-Qing Guo, Qing-Fu Sun|2023|J.Am.Chem.Soc.|145|23121|doi:10.1021/jacs.3c06775
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48579/pro/vijehr/cydgja
title: seeds.tab

description: :unav
DOI: 10.48579/pro/vijehr/msvrqj
title: floral_traits.tab

description: :unav
DOI: 10.48579/pro/vijehr/c270ux
title: floral_display.tab

description: :unav
DOI: 10.48579/pro/vijehr/v5r7xb
title: vegetative_traits.tab

description: :unav
DOI: 10.48579/pro/vijehr/jh3dea
title: nectar.tab

description: :unav
DOI: 10.48579/pro/vijehr/ovb9zp
title: README.txt

description: :unav
DOI: 10.48579/pro/vijehr/uaggqn
title: genotypes.tab

description: :unav
DOI: 10.48579/pro/vijehr/3u9hfw
title: visit_pollinators.tab

description: :unav
DOI: 10.48579/pro/vijehr
title: Genotypic and phenotypic data of ancestral and descendant populations of Viola arvensis in four location of the Parisian region

description: This dataset was obtain while genotyping using microsatellites and phenotyping ancestral and descendant populations of four locations of the field pansy (Viola arvensis). Ancestral populations was obtained from seedbanks and were collected in the field in 90's-2000's and descendant were collected in the field in 2021. A first generation was grown in common garden in 2021 and genotyped (genotypes.csv). Using mother from the first generation, a second generation composed of families of 5 siblings was grown in controlled greenhouses in 2022. We phenotyped this second generation (vegetative_traits.csv, floral_traits.csv, floral_display.csv, nectar.csv, seeds.csv, visit_pollinators.csv). Measurements were made following the methods described in this paper https://doi.org/10.1101/2023.05.25.542270.
DOI: 10.25673/85915
title: GMH Ce I-2978-1926, Holotypus: Palaeopython ceciliensis, Rumpfwirbel

description: Inventarnummer: GMH Ce I-2978-1926 Holotypus, Taxon: Palaeopython ceciliensis Objekt: Rumpfwirbel, Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig. 7; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).
DOI: 10.25673/85916
title: GMH Ce I-2979-1926, Lectotypus: Eoconstrictor spinifer, A block with three almost complete cervical vertebrae, remains of ribs and fragments of other vertebrae

description: Inventarnummer: GMH Ce I-2979-1926 Lectotypus, Taxon: Eoconstrictor spinifer Objekt: A block with three almost complete cervical vertebrae, remains of ribs and fragments of other vertebrae , Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig. 1; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).