cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3973577
title: Questionaire - Employment of Telemedicine in Nursing Homes

description: Datasets from the questionnaires generated during the study "Employment of Telemedicine in Nursing Homes: Clinical Requirement Analysis, System Development and First Test Results"
DOI: 10.5281/zenodo.3979887
title: Pictogramas ARASAAC Blanco Y Negro, Part 11 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3979886
title: Pictogramas ARASAAC Blanco Y Negro, Part 11 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5517/ccdc.csd.cc24jk7h
title: CSD 1982116: Experimental Crystal Structure Determination

description: Related Article: Xin Pang, Tong Wu, Yuhao Gu, Dong Wang, Xiangli Che, Du Sun, Fuqiang Huang|2020|Chem.Commun.|56|9036|doi:10.1039/D0CC03282D
DOI: 10.21227/j8gr-hx72
title: Configuration-based assignment and packing in 5G

description: This dataset contains the database of the transport block (TB) configurations .
DOI: 10.21227/12j7-gw32
title: Configuration-based assignment and packing in 5G

description: This dataset contains the database of the transport block (TB) configurations .
DOI: 10.5281/zenodo.3979907
title: Pictogramas ARASAAC Blanco Y Negro, Part 12 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3979906
title: Pictogramas ARASAAC Blanco Y Negro, Part 12 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3979918
title: Data - A floating optical buoy (FOBY) for direct measurements of water-leaving radiance based on the skylight-blocked approach (SBA): An experiment in Honghu Lake, China

description: Datd for A floating optical buoy (FOBY) for direct measurements of water-leaving radiance based on the skylight-blocked approach (SBA): An experiment in Honghu Lake, China
DOI: 10.5281/zenodo.3979917
title: Data - A floating optical buoy (FOBY) for direct measurements of water-leaving radiance based on the skylight-blocked approach (SBA): An experiment in Honghu Lake, China

description: Datd for A floating optical buoy (FOBY) for direct measurements of water-leaving radiance based on the skylight-blocked approach (SBA): An experiment in Honghu Lake, China
DOI: 10.3886/e109625v1-43532
title: County-level school enrollment and resources in ten segregated Southern states, 1910-1940

description: This dataset contains information related to public school resources measured at the county level for ten southern U.S. states (Alabama, Arkansas, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Texas, Kentucky, and Tennessee) from 1910 to 1940. School resource measures include enrollment, attendance, number of schools, number of teachers, revenues from local taxes, expenditures, and salary information. In most cases, these data were reported separately for black and white schools, which were segregated at this time and place. ICPSR deposits include Stata and ASCII formats. <br><br>
description: Not applicable<br>
description: Response Rates: Not applicable<br>
description: Presence of Common Scales: See documentation<br>
description: record abstracts; See documentation<br>
description: <br>Counties. Smallest Geographic Unit: Counties
description: Not applicable<br>
DOI: 10.3886/e120462v1-43542
title: National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of ZIP Code Tabulation Areas, United States, 2008-2017

description: This dataset contains measures of socioeconomic and demographic characteristics by US ZIP code tabulation area (ZCTA) for the years 2008-2017. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.
description: A ZIP code to ZCTA crosswalk must be used to combine this dataset with ZIP code geocoded data. Such a crosswalk is available on the UDS Mapper website at https://www.udsmapper.org/zcta-crosswalk.cfm. Sample code for merging the UDS Mapper crosswalk with NaNDA datasets is available on the NaNDA repository at https://www.openicpsr.org/openicpsr/project/120088/.
description: ZCTAs in the United States. Smallest Geographic Unit: ZIP code tabulation area
DOI: 10.3886/e114741v1-43545
title: Replication data for: Do Taxpayers Bunch at Kink Points?

description: This paper uses tax return data to analyze bunching at the kink points of the US income tax schedule. We estimate the compensated elasticity of reported income with respect to (one minus) the marginal tax rate using bunching evidence. We find clear evidence of bunching around the first kink point of the Earned Income Tax Credit but concentrated solely among the self-employed. A simple tax evasion model can account for those results. We find evidence of bunching at the threshold of the first income tax bracket where tax liability starts but no evidence of bunching at any other kink point. (JEL H23, H24, H26)
DOI: 10.3886/e120591
title: Teacher Staffing Challenges in California: Examining the Uniqueness of Rural School Districts

description: Using unique data from California on teacher job vacancies, we investigate staffing challenges across the urbanicity spectrum, focusing on the extent to which the characteristics of rural school systems explain differences in staffing challenges; as measured by vacancy rates and emergency credentialed teachers, relative to other urbanicities. We find that rural districts have significantly and substantially higher staffing challenges than districts from different urbanicity classifications (urban, suburban, and towns). Some of these differences are explained by district-level attributes, such as the proportion of students in poverty in the district. The geography of rural districts itself also explains the level of staffing challenge as rural districts are more likely to be located on a state border and to be far from teacher education programs, both of which are strongly associated with staffing challenge measures. Even after controlling for a rich set of observable covariates, there is evidence that rural districts are still somewhat more likely to face staffing challenges, suggesting there are unobserved aspects to being rural associated with the desirability of employment that are not readily captured by quantitative data.
DOI: 10.3886/e120591v1
title: Teacher Staffing Challenges in California: Examining the Uniqueness of Rural School Districts

description: Using unique data from California on teacher job vacancies, we investigate staffing challenges across the urbanicity spectrum, focusing on the extent to which the characteristics of rural school systems explain differences in staffing challenges; as measured by vacancy rates and emergency credentialed teachers, relative to other urbanicities. We find that rural districts have significantly and substantially higher staffing challenges than districts from different urbanicity classifications (urban, suburban, and towns). Some of these differences are explained by district-level attributes, such as the proportion of students in poverty in the district. The geography of rural districts itself also explains the level of staffing challenge as rural districts are more likely to be located on a state border and to be far from teacher education programs, both of which are strongly associated with staffing challenge measures. Even after controlling for a rich set of observable covariates, there is evidence that rural districts are still somewhat more likely to face staffing challenges, suggesting there are unobserved aspects to being rural associated with the desirability of employment that are not readily captured by quantitative data.
DOI: 10.5281/zenodo.3979916
title: Pictogramas ARASAAC Blanco Y Negro, Part 13 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3979915
title: Pictogramas ARASAAC Blanco Y Negro, Part 13 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5517/ccdc.csd.cc2589sk
title: CCDC 2003988: Experimental Crystal Structure Determination

description: Related Article: Gabriela Mendoza-Sarmiento, Fernando Igoa, Leopoldo Suescun, Julia Torres, Carlos Kremer|2020|Inorg.Chem.Commun.|119|108067|doi:10.1016/j.inoche.2020.108067
DOI: 10.5517/ccdc.csd.cc2589tl
title: CCDC 2003989: Experimental Crystal Structure Determination

description: Related Article: Gabriela Mendoza-Sarmiento, Fernando Igoa, Leopoldo Suescun, Julia Torres, Carlos Kremer|2020|Inorg.Chem.Commun.|119|108067|doi:10.1016/j.inoche.2020.108067
DOI: 10.5517/ccdc.csd.cc25c9mh
title: CCDC 2006866: Experimental Crystal Structure Determination

description: Related Article: Jérôme Long, Dmitry M. Lyubov, Tatyana V. Mahrova, Konstantin A. Lyssenko, Alexander A. Korlyukov, Yury V. Fedorov, Ekaterina Yu. Chernikova, Yannick Guari, Joulia Larionova, Alexander A. Trifonov|2020|Cryst.Growth Des.|20|5184|doi:10.1021/acs.cgd.0c00410
DOI: 10.5517/ccdc.csd.cc24tk7s
title: CCDC 1990765: Experimental Crystal Structure Determination

description: Related Article: Richard C. Knighton, Lohona K. Soro, Thibault Troadec, Valerie Mazan, Aline M. Nonat, Mourad Elhabiri, Nathalie Saffon-Merceron, Saifou Djenad, Raphaël Tripier, Loïc J. Charbonnière|2020|Inorg.Chem.|59|10311|doi:10.1021/acs.inorgchem.0c01456
DOI: 10.7910/dvn/gc9jkm/rownr2
title: full_FINAL.tab

description: :unav
DOI: 10.7910/dvn/gc9jkm/ymj8k6
title: full2_FINAL.tab

description: :unav
DOI: 10.5281/zenodo.3980254
title: Release Engineering Posts

description: This dataset was used for the study "Analysis of Release Engineering Topics - A Large-scale Study using Stackoverflow - "
DOI: 10.26195/5f336ead59a43
title: Are you being rhetorical? An open dataset of machine annotated rhetorical moves
DOI: 10.5517/ccdc.csd.cc24cz7r
title: CCDC 1977714: Experimental Crystal Structure Determination

description: Related Article: Tahani A. C. A. Bayrakdar, Fady Nahra, Jack V. Davis, Mohan M. Gamage, Burjor Captain, Manuel Temprado, Marco Marazzi, Marina Saab, Kristof Van Hecke, Dominic Ormerod, Carl D. Hoff, Steven P. Nolan|2020|Organometallics|39|2907|doi:10.1021/acs.organomet.0c00404
DOI: 10.5517/ccdc.csd.cc24d9gb
title: CCDC 1978031: Experimental Crystal Structure Determination

description: Related Article: Tahani A. C. A. Bayrakdar, Fady Nahra, Jack V. Davis, Mohan M. Gamage, Burjor Captain, Manuel Temprado, Marco Marazzi, Marina Saab, Kristof Van Hecke, Dominic Ormerod, Carl D. Hoff, Steven P. Nolan|2020|Organometallics|39|2907|doi:10.1021/acs.organomet.0c00404
DOI: 10.5517/ccdc.csd.cc24d9hc
title: CCDC 1978032: Experimental Crystal Structure Determination

description: Related Article: Tahani A. C. A. Bayrakdar, Fady Nahra, Jack V. Davis, Mohan M. Gamage, Burjor Captain, Manuel Temprado, Marco Marazzi, Marina Saab, Kristof Van Hecke, Dominic Ormerod, Carl D. Hoff, Steven P. Nolan|2020|Organometallics|39|2907|doi:10.1021/acs.organomet.0c00404
DOI: 10.5517/ccdc.csd.cc24d9jd
title: CCDC 1978033: Experimental Crystal Structure Determination

description: Related Article: Tahani A. C. A. Bayrakdar, Fady Nahra, Jack V. Davis, Mohan M. Gamage, Burjor Captain, Manuel Temprado, Marco Marazzi, Marina Saab, Kristof Van Hecke, Dominic Ormerod, Carl D. Hoff, Steven P. Nolan|2020|Organometallics|39|2907|doi:10.1021/acs.organomet.0c00404
DOI: 10.5517/ccdc.csd.cc24d9kf
title: CCDC 1978034: Experimental Crystal Structure Determination

description: Related Article: Tahani A. C. A. Bayrakdar, Fady Nahra, Jack V. Davis, Mohan M. Gamage, Burjor Captain, Manuel Temprado, Marco Marazzi, Marina Saab, Kristof Van Hecke, Dominic Ormerod, Carl D. Hoff, Steven P. Nolan|2020|Organometallics|39|2907|doi:10.1021/acs.organomet.0c00404
DOI: 10.5517/ccdc.csd.cc257tr0
title: CCDC 2003522: Experimental Crystal Structure Determination

description: Related Article: Michael R. Hall, Marcus Korb, Stephen A. Moggach, Paul J. Low|2020|Organometallics|39|2838|doi:10.1021/acs.organomet.0c00371
DOI: 10.5517/ccdc.csd.cc25bj8b
title: CCDC 2006111: Experimental Crystal Structure Determination

description: Related Article: Michael R. Hall, Marcus Korb, Stephen A. Moggach, Paul J. Low|2020|Organometallics|39|2838|doi:10.1021/acs.organomet.0c00371
DOI: 10.5517/ccdc.csd.cc25bj9c
title: CCDC 2006112: Experimental Crystal Structure Determination

description: Related Article: Michael R. Hall, Marcus Korb, Stephen A. Moggach, Paul J. Low|2020|Organometallics|39|2838|doi:10.1021/acs.organomet.0c00371
DOI: 10.5517/ccdc.csd.cc25bjbd
title: CCDC 2006113: Experimental Crystal Structure Determination

description: Related Article: Michael R. Hall, Marcus Korb, Stephen A. Moggach, Paul J. Low|2020|Organometallics|39|2838|doi:10.1021/acs.organomet.0c00371
DOI: 10.5517/ccdc.csd.cc25bjcf
title: CCDC 2006114: Experimental Crystal Structure Determination

description: Related Article: Michael R. Hall, Marcus Korb, Stephen A. Moggach, Paul J. Low|2020|Organometallics|39|2838|doi:10.1021/acs.organomet.0c00371
DOI: 10.25912/5f337d9970d8d
title: 100 days of COVID-19 in the Australian Twittersphere
DOI: 10.5281/zenodo.3980298
title: data_chilPollMorpho

description: Data set created for the identification of the Chilean pollen and spores. Morphological description is a simplification of the original description by Heusser (1971). Itranscriptt his text into a .txt file and then codify the morphological characters in a series of columns
DOI: 10.5281/zenodo.3980297
title: data_chilPollMorpho

description: Data set created for the identification of the Chilean pollen and spores. Morphological description is a simplification of the original description by Heusser (1971). Itranscriptt his text into a .txt file and then codify the morphological characters in a series of columns
DOI: 10.5281/zenodo.3979924
title: Pictogramas ARASAAC Blanco Y Negro, Part 14 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3979923
title: Pictogramas ARASAAC Blanco Y Negro, Part 14 of 14

description: Black and white pictograms created by Sergio Palao (http://www.palao.es) for ARASAAC (http://www.arasac.org).
DOI: 10.5281/zenodo.3980312
title: GEMINI3D: RISR equilibrium simulations

description: GEMINI3D simulation data near RISR. This data is used to initialize simulations of arbitrary fidelity, within the geophysical boundaries of the equilibrium simulation.
DOI: 10.5281/zenodo.3980311
title: GEMINI3D: RISR equilibrium simulations

description: GEMINI3D simulation data near RISR. This data is used to initialize simulations of arbitrary fidelity, within the geophysical boundaries of the equilibrium simulation.
DOI: 10.5281/zenodo.3980316
title: Kinematic parameters of youth basketball players

description: Kinematic parameters of youth basketball players
DOI: 10.25550/1-8vsr
title: A Registration and Deep Learning Approach to Automated Landmark Detection for Geometric Morphometrics

description: 1. Geometric morphometrics is the statistical analysis of landmark-based shape variation and its covariation with other variables. Over the past two decades, the gold standard of landmark data acquisition has been manual detection by a single observer. This method has proven accurate and reliable in small-scale investigations. However, big data approaches are increasingly common in biology and morphometrics among other fields. Large-scale analyses of morphological variation require automatic, standardized, and integrative landmark data collection. Image registration, or the spatial alignment of images, is a fundamental technique in automatic image analysis that is well-poised for such purposes. Unfortunately, in the few studies that have explored the utility of registration-based landmarks for geometric morphometrics, relatively high or catastrophic labelling errors around anatomical extrema are common. These errors can result in misleading representations of the mean shape, an underestimation of biological signal, and altered variance-covariance patterns. 2. We combine image registration with a deep and domain-specific neural network to automate and optimize anatomical landmark detection for geometric morphometrics. Using micro-computed tomography images of genetically and morphologically diverse mouse skulls, we test our landmarking approach under a variety of registration conditions, including different non-linear deformation frameworks (small vs. large) and atlas strategies (single vs. multi). 3. Compared to landmarks derived from conventional image registration workflows, our optimized landmark data show significant reductions in detection error at problematic locations (up to 0.63 mm), a 36.4% reduction in average landmark coordinate error, and up to a 45.1% reduction in total landmark distribution error. We achieve significant improvements in estimates of the sample mean shape, sample-wide distance relationships, and variance-covariance structure. 4. Our approach only requires intensity information and landmark data from volumetric images. It is thus generalizable to other volumetric imaging modalities, anatomy, and landmark configurations. For biological imaging datasets and morphometric research questions, our method can eliminate the time and subjectivity of manual landmark detection whilst retaining the biological integrity of these expert annotations.
DOI: 10.25550/1-rk82
title: Runx2+ niche cells maintain mesenchymal tissue homeostasis through IGF signaling

description: Stem cell niches provide a microenvironment to support the self-renewal and multi-lineage differentiation of stem cells. Cell-cell interactions within the stem cell niche are essential for maintaining tissue homeostasis. However, the niche cells supporting mesenchymal stem cells (MSCs) are largely unknown. Using single-cell RNA sequencing, we show heterogeneity among Gli1+ MSCs and identify a subpopulation of Runx2+/Gli1+ cells in the adult mouse incisor. These Runx2+/Gli1+ cells are strategically located between MSCs and transit amplifying cells (TACs). They are not stem cells, but help to maintain the MSC niche via IGF signaling to regulate TAC proliferation, differentiation, and incisor growth rate. ATAC-seq and chromatin immunoprecipitation revealed that Runx2 directly binds to Igfbp3 in the MSC niche. This Runx2-mediated IGF signaling cascade is crucial for regulating the MSC niche and maintaining tissue homeostasis to support continuous growth of the adult mouse incisor, providing a model for analysis of the molecular regulation of MSC niche.
DOI: 10.25550/1-sxc4
title: Histology and schematic overview of mouse molar root development

description: The tooth root is a critical part of our dentition. The formation of a functional root depends on many factors including epithelial-mesenchymal interactions and integration of the root with the jaw bone, blood supply and nerve innervation. Understanding the tooth root development is of great interest in the field of regenerative medicine. ![(MicroCT Images) 3D microCT of the sagittal view mouse molars at Postnatal day 7 (PN7) to postnatal day 21 (PN21). (H&E) Histology sections of molars at different developmental stages corresponding to microCT above. (Schematic Drawings) Schematic diagram of root development in mice from PN0 to PN21. Epithelium-derived tissues, which include the ameloblast layer and enamel in the crown and the HERS in the root region, are depicted in blue. Dentin is depicted in pink, and the pulp is shown in light pink.](https://www.facebase.org/hatrac/facebase/thumbnail/fb3/1-SXC4/331ad08e2e32eed674754402be3ab542/07162020%20FACEBASE%20ROOT%20Dev.jpg:ZD3M5QX53IQRRXHQUNSOKVKVKY "Tooth root development in mice")
DOI: 10.25550/1-tqae
title: Normalized expression data from the anterior medial palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the anterior medial palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tqb0
title: Normalized expression data from the anterior nasal palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the anterior nasal palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tqbj
title: Normalized expression data from the anterior oral palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the anterior oral palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tq9t
title: Normalized expression data from the anterior lateral palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the anterior lateral palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tqc4
title: Normalized expression data from the posterior lateral palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the posterior lateral palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tqcp
title: Normalized expression data from the posterior medial palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the posterior medial palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-tqdt
title: Normalized expression data from the posterior oral palate in E14.5 mice

description: These are log2(1 + x) transformed TPM normalized expression values. Genes were annotated using the mm9 reference genome. The data are formatted with rows containing independent samples from the posterior oral palate and columns corresponding to individual Entrez Gene IDs.
DOI: 10.25550/1-92sr
title: RNAseq of Ezh2fl/fl and Osr2-Cre;Ezh2fl/fl at PN3 days

description: Patterning is a critical step during organogenesis and is closely associated with the physiological function of organs. Tooth root shapes are finely tuned to provide precise occlusal support to facilitate the function of each tooth type. However, the mechanism regulating tooth root patterning and development is largely unknown. In this study, we provide the first in vivo evidence demonstrating that Ezh2 in the dental mesenchyme determines patterning and furcation formation during dental root development in mouse molars. Mechanistically, an antagonistic interaction between epigenetic regulators Ezh2 and Arid1a controls Cdkn2a expression in the dental mesenchyme to regulate dental root patterning and development. These findings indicate the importance of balanced epigenetic regulation in determining the tooth root pattern and the integration of roots with the jawbones to achieve physiological function. Collectively, our study provides important clues about the regulation of organogenesis and has general implications for tooth regeneration in the future. The data files corresponding to this dataset can be obtained from GEO following the link given in the Related Datasets section below.