cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6085/aa/marine_ltm.12.10
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Photo Plots and Transects Summarized

description: Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America. This metadata record documents the Photo Plot and Transect Survey data for MARINe Long-Term Monitoring surveys. Photo Plots are used to monitor percent cover of organisms within target species assemblages. Plots are established for a given species assemblage if overall cover at a site is sufficient for monitoring. Transects are used to monitor percent cover of surfgrass, kelps, and other algae. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.5281/zenodo.7700378
title: robust_discontinuity_files

description: The text files are supplementary files of the manuscript "The upper-mantle structure beneath Alaska imaged by teleseismic S-wave reverberations" submitted to JGR: Solid Earth by Hao et al. The text files list robust discontinuity depths (km) as a function of longitude and latitude, which are plotted in Figures 3, 4, and 5 in the main text. The fourth and fifth columns denote the number of traces contributing to the reflection point bin and the normalized amplitude (%) to the direct S amplitude, respectively. See the main text for more details.
DOI: 10.5281/zenodo.7700379
title: robust_discontinuity_files

description: The text files are supplementary files of the manuscript "The upper-mantle structure beneath Alaska imaged by teleseismic S-wave reverberations" submitted to JGR: Solid Earth by Hao et al. The text files list robust discontinuity depths (km) as a function of longitude and latitude, which are plotted in Figure 3 and Figure 4 in the main text. The fourth and fifth columns denote the number of traces contributing to the reflection point bin and the normalized amplitude (%) to the direct S amplitude, respectively. See the main text for more details.
DOI: 10.5281/zenodo.7893924
title: robust_discontinuity_files

description: The text files are supplementary files of the manuscript "The upper-mantle structure beneath Alaska imaged by teleseismic S-wave reverberations" submitted to JGR: Solid Earth by Hao et al. The text files list robust discontinuity depths (km) as a function of longitude and latitude, which are plotted in Figures 3, 4, and 5 in the main text. The fourth and fifth columns denote the number of traces contributing to the reflection point bin and the normalized amplitude (%) to the direct S amplitude, respectively. See the main text for more details.
DOI: 10.5281/zenodo.7893926
title: Outputs of FslFirst-1874880

description: Files and meta data for CBRAIN task FslFirst@Converter-2/1874880 My test taks!
DOI: 10.5281/zenodo.7893925
title: Outputs of FslFirst-1874880

description: Files and meta data for CBRAIN task FslFirst@Converter-2/1874880 My test taks!
DOI: 10.5281/zenodo.6212427
title: Trunkated CLDF dataset derived from a preprint of 'Új Etimológiai Szótár' [New Etymological Dictionary] edited by Gerstner Károly

description: Cite the source of the dataset as: Gerstner 2016
DOI: 10.5281/zenodo.6212556
title: Trunkated CLDF dataset derived from a preprint of 'Új Etimológiai Szótár' [New Etymological Dictionary] edited by Gerstner Károly

description: Cite the source of the dataset as: Gerstner 2016
DOI: 10.5281/zenodo.6377199
title: CLDF dataset derived from a preprint of 'Új magyar etimológiai szótár' [New Hungarian Etymological Dictionary] by Gerstner Károly

description: Cite the source of the dataset as: Gerstner, Károly (ed.) (2016). Új magyar Etimológiai Szótár. Hungarian Academy of Sciences, Budapest. http://uesz.nytud.hu/.
DOI: 10.5281/zenodo.6377318
title: CLDF dataset derived from a preprint of 'Új magyar etimológiai szótár' [New Hungarian Etymological Dictionary] by Károly Gerstner (ed.)

description: Cite the source of the dataset as: Gerstner, Károly (ed.) (2016). Új magyar Etimológiai Szótár. Hungarian Academy of Sciences, Budapest. http://uesz.nytud.hu/.
DOI: 10.5281/zenodo.7893944
title: CLDF dataset derived from a preprint of 'Új magyar etimológiai szótár' [New Hungarian Etymological Dictionary] by Károly Gerstner (ed.)

description: Cite the source of the dataset as: Gerstner, Károly (ed.) (2011-2023). Új magyar Etimológiai Szótár. Hungarian Academy of Sciences, Budapest. http://uesz.nytud.hu/.
DOI: 10.5281/zenodo.6212426
title: CLDF dataset derived from a preprint of 'Új magyar etimológiai szótár' [New Hungarian Etymological Dictionary] by Károly Gerstner (ed.)

description: Cite the source of the dataset as: Gerstner, Károly (ed.) (2011-2023). Új magyar Etimológiai Szótár. Hungarian Academy of Sciences, Budapest. http://uesz.nytud.hu/.
DOI: 10.5281/zenodo.7893956
title: ariolimax_columbianus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7893955
title: ariolimax_columbianus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7893960
title: Tectona grandis: Narrow Genetic Base? A New Perspective on the Genetic Variability of Teak

description: Teak (Tectona grandis Linn. f.) is considered one of the most expensive hardwoods in the world. The dispersion of the species over the years has taken the teak beyond its origin centers and little is known about the genetic origin and genetic variability. This study aimed to investigate the genetic diversity and population structure existing in a teak germplasm bank collection in Brazil. DNA was extracted from young leaves and each sample were genotyped by whole genome sequencing at 8x of coverage, the sequencing were aligned using the genome at NCBI, and SNPcalls and quality control were made. To study the population structure of the genotypes, Bayesian variational inference was used via fastStructure, the phylogenetic tree was based on the modified Euclidean distance and the clustering by the UPGMA hierarchical method. Genetic diversity was analyzed based on the pairwise genetic divergence (Fst) of Weir and Cockerham. Genotyping by sequencing resulted in a database of approximately 1.4 million of variations SNPs were used for analysis. It was possible to identify four subpopulations with genetic variability between and within the subpopulations, so this study made it possible to confirm the existence of genetic variability in teak, contrary to what was expected.
DOI: 10.5281/zenodo.7893959
title: Tectona grandis: Narrow Genetic Base? A New Perspective on the Genetic Variability of Teak

description: Teak (Tectona grandis Linn. f.) is considered one of the most expensive hardwoods in the world. The dispersion of the species over the years has taken the teak beyond its origin centers and little is known about the genetic origin and genetic variability. This study aimed to investigate the genetic diversity and population structure existing in a teak germplasm bank collection in Brazil. DNA was extracted from young leaves and each sample were genotyped by whole genome sequencing at 8x of coverage, the sequencing were aligned using the genome at NCBI, and SNPcalls and quality control were made. To study the population structure of the genotypes, Bayesian variational inference was used via fastStructure, the phylogenetic tree was based on the modified Euclidean distance and the clustering by the UPGMA hierarchical method. Genetic diversity was analyzed based on the pairwise genetic divergence (Fst) of Weir and Cockerham. Genotyping by sequencing resulted in a database of approximately 1.4 million of variations SNPs were used for analysis. It was possible to identify four subpopulations with genetic variability between and within the subpopulations, so this study made it possible to confirm the existence of genetic variability in teak, contrary to what was expected.
DOI: 10.5281/zenodo.7893962
title: Tectona grandis: Narrow Genetic Base? A New Perspective on the Genetic Variability of Teak

description: Teak (Tectona grandis Linn. f.) is considered one of the most expensive hardwoods in the world. The dispersion of the species over the years has taken the teak beyond its origin centers and little is known about the genetic origin and genetic variability. This study aimed to investigate the genetic diversity and population structure existing in a teak germplasm bank collection in Brazil. DNA was extracted from young leaves and each sample were genotyped by whole genome sequencing at 8x of coverage, the sequencing were aligned using the genome at NCBI, and SNPcalls and quality control were made. To study the population structure of the genotypes, Bayesian variational inference was used via fastStructure, the phylogenetic tree was based on the modified Euclidean distance and the clustering by the UPGMA hierarchical method. Genetic diversity was analyzed based on the pairwise genetic divergence (Fst) of Weir and Cockerham. Genotyping by sequencing resulted in a database of approximately 1.4 million of variations SNPs were used for analysis. It was possible to identify four subpopulations with genetic variability between and within the subpopulations, so this study made it possible to confirm the existence of genetic variability in teak, contrary to what was expected.
DOI: 10.5281/zenodo.7893961
title: Tectona grandis: Narrow Genetic Base? A New Perspective on the Genetic Variability of Teak

description: Teak (Tectona grandis Linn. f.) is considered one of the most expensive hardwoods in the world. The dispersion of the species over the years has taken the teak beyond its origin centers and little is known about the genetic origin and genetic variability. This study aimed to investigate the genetic diversity and population structure existing in a teak germplasm bank collection in Brazil. DNA was extracted from young leaves and each sample were genotyped by whole genome sequencing at 8x of coverage, the sequencing were aligned using the genome at NCBI, and SNPcalls and quality control were made. To study the population structure of the genotypes, Bayesian variational inference was used via fastStructure, the phylogenetic tree was based on the modified Euclidean distance and the clustering by the UPGMA hierarchical method. Genetic diversity was analyzed based on the pairwise genetic divergence (Fst) of Weir and Cockerham. Genotyping by sequencing resulted in a database of approximately 1.4 million of variations SNPs were used for analysis. It was possible to identify four subpopulations with genetic variability between and within the subpopulations, so this study made it possible to confirm the existence of genetic variability in teak, contrary to what was expected.
DOI: 10.6084/m9.figshare.21431205
title: Detritivore_body_mass_ALarranaga.csv

description: The homonimous dataset contains the body masses of detritivores from Surber samples collected below native forests, eucalyptus plantations, nutrient-poor streams and moderately nutrient-rich streams. The second dataset contains information about size spectra intercepts and slopes, decomposition rates, relative abundance of big detritivores, 90th percentile for Echinogammarus berilloni body mass and abundances of the different taxa of the assemblages.
DOI: 10.6084/m9.figshare.21431205.v1
title: Detritivore_body_mass_ALarranaga.csv

description: The homonimous dataset contains the body masses of detritivores from Surber samples collected below native forests, eucalyptus plantations, nutrient-poor streams and moderately nutrient-rich streams. The second dataset contains information about size spectra intercepts and slopes, decomposition rates, relative abundance of big detritivores, 90th percentile for Echinogammarus berilloni body mass and abundances of the different taxa of the assemblages.
DOI: 10.5281/zenodo.7183245
title: Multiple Particle Tracking Data from Neonatal Organotypic Rat Brain Slices

description: The data includes statistical features generated from raw multiple particle tracking data from videos collected during three independent experiments: (1) 5 different brain regions, (2) 3 different treatment conditions in the brain, and (3) 5 different brain ages. Feature Model Abbreviation Description alpha alpha Exponent of the anomalous diffusion equation. Effective diffusion coefficient D_fit Coefficient of the anomalous diffusion equation Kurtosis kurtosis The fourth moment of the projected positions on the dominant eigenvector of the radius gyration tensor (T). Asymmetry1 asymmetry1 Characterizes the asymmetry of the trajectory. Asymmetry1 equals 0 for circularly symmetric trajectories and 1 for linear trajectories. Asymmetry2 asymmetry2 The ratio of the smaller to larger principal radius of gyration. Asymmetry3 asymmetry3 An asymmetry feature that accounts for non-cylindrically symmetric point distributions. Aspect ratio AR The ratio of the kong and short side of the trajectory's minimum bounding rectangle. Perfectly symmetric trajectories have an aspect ratio of 1, and aspect ratio increases as trajectories become more elongated. Elongation elongation An estimation of amount of extension of the trajectory from its centroid. Boundedness boundedness Boundedness quantifies how much a particle with diffusion coefficient <em>D<sub>eff</sub></em> is restricted by a circular confinement of radius <em>r</em> when diffusing for a period of time \(N\Delta t \) Fractal Dimension fractal_dim Fractal dimension is a measure of how "complicated" a self similar figure is. Trappedness trappedness The probability (\(\textit{P}_{\textit{t}} \)) that a particle with duffusion coefficient <em>D<sub>eff</sub></em> is trapped in a region (<em>r<sub>0</sub></em>) for a period of time \(N\Delta t \). Efficiency efficiency The ratio of the squared net displacement to the sum of step lengths. Straightness straightness The ratio of the net displacement to the sum of step lengths. MSD Ratio MSD_ratio MSD ratio characterizes the shape of the MSD curve. For Brownian motion, it is 0; For restricted motion it is &lt; 0; For directed motion it is &gt; 0. Frames frames The total number of frames the trajectory spans. Effective Diffusion Coefficient 1 Deff1 Effective diffusion coefficient at 0.33 s. Effective Diffusion Coefficient 2 Deff2 Effective diffusion coefficient at 3.3s. Mean values were calculated based on surrounding datapoints for alpha, D_fit, kurtosis, asymmetry1, asymmetry2, asymmetry3, AR, elongation, boundedness, fractal_dim, trappedness, efficiency, straightness, MSD_ratio, Deff2, and Deff2.
DOI: 10.5281/zenodo.7183244
title: Multiple Particle Tracking Data from Neonatal Organotypic Rat Brain Slices

description: The data includes statistical features generated from raw multiple particle tracking data from videos collected during three independent experiments: (1) 5 different brain regions, (2) 3 different treatment conditions in the brain, and (3) 5 different brain ages. Feature Model Abbreviation Description alpha alpha Exponent of the anomalous diffusion equation. Effective diffusion coefficient D_fit Coefficient of the anomalous diffusion equation Kurtosis kurtosis The fourth moment of the projected positions on the dominant eigenvector of the radius gyration tensor (T). Asymmetry1 asymmetry1 Characterizes the asymmetry of the trajectory. Asymmetry1 equals 0 for circularly symmetric trajectories and 1 for linear trajectories. Asymmetry2 asymmetry2 The ratio of the smaller to larger principal radius of gyration. Asymmetry3 asymmetry3 An asymmetry feature that accounts for non-cylindrically symmetric point distributions. Aspect ratio AR The ratio of the kong and short side of the trajectory's minimum bounding rectangle. Perfectly symmetric trajectories have an aspect ratio of 1, and aspect ratio increases as trajectories become more elongated. Elongation elongation An estimation of amount of extension of the trajectory from its centroid. Boundedness boundedness Boundedness quantifies how much a particle with diffusion coefficient <em>D<sub>eff</sub></em> is restricted by a circular confinement of radius <em>r</em> when diffusing for a period of time \(N\Delta t \) Fractal Dimension fractal_dim Fractal dimension is a measure of how "complicated" a self similar figure is. Trappedness trappedness The probability (\(\textit{P}_{\textit{t}} \)) that a particle with duffusion coefficient <em>D<sub>eff</sub></em> is trapped in a region (<em>r<sub>0</sub></em>) for a period of time \(N\Delta t \). Efficiency efficiency The ratio of the squared net displacement to the sum of step lengths. Straightness straightness The ratio of the net displacement to the sum of step lengths. MSD Ratio MSD_ratio MSD ratio characterizes the shape of the MSD curve. For Brownian motion, it is 0; For restricted motion it is &lt; 0; For directed motion it is &gt; 0. Frames frames The total number of frames the trajectory spans. Effective Diffusion Coefficient 1 Deff1 Effective diffusion coefficient at 0.33 s. Effective Diffusion Coefficient 2 Deff2 Effective diffusion coefficient at 3.3s. Mean values were calculated based on surrounding datapoints for alpha, D_fit, kurtosis, asymmetry1, asymmetry2, asymmetry3, AR, elongation, boundedness, fractal_dim, trappedness, efficiency, straightness, MSD_ratio, Deff2, and Deff2.
DOI: 10.26030/mg6a-qv31
title: SCD – Stem Cell Differentiation Toward Osteoblast Onboard the International Space Station

description: Microgravity produces a variety of physical, chemical, and biological cues leading to an intricate and largely unresolved network of mechanosensitive molecules, transduction pathways, oxidative stress-related responses, and adaptations. The bone loss observed in astronauts and animal models after spaceflight is attributable to alterations in the bone tissue formation that depends on the continuous remodelling through the activities of bone-resorbing osteoclasts of hematopoietic lineage and bone-forming osteoblast of mesenchymal origin. Focusing on osteogenic differentiation, we present the results of the ”SCD - Stem Cells Differentiation” experiment, aiming to determine how human bone marrow stem cells (hBMSCs) react to a prolonged (approx. 2 weeks) exposure to microgravity in terms of growth, and differentiation when treated with a physiological osteo-inducer as 1,25-dihydroxy vitamin D (Vit D3). The experiment was selected by the European Space Agency and transferred to ISS with the Soyuz-TMA- 16M (ISS 42S). It was carefully prepared because experiments performed on ISS remain a uniquely exceptional means of clarifying the microgravitational effects on osteogenesis, often only partially activated and detectable under simulated conditions. Because of the substantial reduction in calcification observed (about 50% inflight vs. on-ground control), we looked at significantly affected pathways in hBMSCs grown in microgravity vs. on-ground controls. Genome-wide expression changes were assessed via microarray and next generation sequencing (NGS) and integrated with exosomal mi-RNA measurements. Multi-scale pathway analysis of the omics datasets revealed evidence of cell cycle arrest, occurring with a number of osteogenic gene markers, but without indications of adipogenesis, senescence and/or apoptosis.
DOI: 10.25921/ytds-4346
title: EK80 Water Column Sonar Data Collected During PC1905
DOI: 10.6084/m9.figshare.22755167
title: NBTXR3+Proton+anti-PD1 scRNAseq

description: scRNAseq data
DOI: 10.15482/usda.adc/1528955
title: CameraTrapDetectoR Species Model

description: CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify common North American domestic and wild species in camera trap images. Data for all versions of the taxonomic species model are located in this dataset. This data is automatically downloaded, extracted, and deployed in the tool's deploy_model function. Additional information about the R package and the training data can be found in the package's Github repository: https://github.com/CameraTrapDetectoR/CameraTrapDetectoR
This research used resources provided by the SCINet project and the AI Center of Excellence of the USDA Agricultural Research Service, ARS project number 0500-00093-001-00-D.
List of Resources:

species_v1.zip is a folder containing the model weights, model architecture, and class label dictionary for the first version of the species model. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone.
species_v2.zip is a folder containing the model weights, model architecture, and class label dictionary for the second version of the species model. The model architecture is a FasterRCNN object detection model with a ResNet50 backbone, trained on the ARS SCINet Atlas cluster. This model identifies and counts 78 North American species in camera trap images, including humans vehicles and a background class. The training dataset contains 169,352 unique images, with an average of 2199 images per class excluding background class. The (min, max) range of images count per class is (107, 7027); this class imbalance was addressed with a suite of data augmentations and weighted random sampling. Images were acquired from a total of 26 databases across North America.
DOI: 10.3886/e119446v75-137980
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini