cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25439/rmt.13114559.v1
title: Data from: Reproductive isolation in alpine gingers: how do co-existing Roscoea (R. purpurea and R. tumjensis) conserve species integrity?

description: Multiple barriers may contribute to reproductive isolation between closely related species. Understanding the relative strength of these barriers can illuminate the ecological factors that currently maintain species integrity and how these factors originally promoted speciation. Two Himalayan alpine gingers, Roscoea purpurea and R. tumjensis, occur sympatrically in central Nepal and have such similar morphology that it is not clear whether or how they maintain a distinct identity. Our quantitative measurements of the components of reproductive isolation show that they are, in fact, completely isolated by a combination of phenological displacement of flowering, earlier for R. tumjensis and later for R. purpurea, and complete fidelity of visitation by different pollinator species, bumblebees for R. tumjensis and a long-tongued fly for R. purpurea. Furthermore, the nectar of R. tumjensis flowers is available to the shorter-tongued bumblebees while R. purpurea nectar is less accessible, requiring deep probing from long-tongued flies. Although flowering phenology is a strong current barrier that seemingly obviates any need for pollinator discrimination, this current pattern need not reflect selective forces occurring at the initial divergence of R. tumjensis. There has been considerable pollinator switching during the radiation of the Himalayan Roscoea, and the association of flowering time with type of pollinator in these sympatric species may have originated among the earliest or latest flowering individuals or populations of an ancestor in order to exploit either bumblebee activity early in the breeding season or long-tongued fly abundance later in the season. These two sympatric Roscoea species add to accumulating evidence of the primacy of pre-zygotic pollination traits in speciation among angiosperms even in the absence of post-zygotic incompatibility.
DOI: 10.25439/rmt.13121852
title: Topical Event Detection on Twitter

description: Event detection on Twitter has attracted active research. Although existing work considers the semantic topic structure of documents for event detection, the topic dynamics and the semantic consistency are under-investigated. In this paper, we study the problem of topical event detection in tweet streams. We define topical events as the bursty occurrences of semantically consistent topics. We decompose the problem of topical event detection into two components: (1) We address the issue of the semantic incoherence of the evolution of topics. We propose to improve topic modelling to filter out semantically inconsistent dynamic topics. (2) We propose to perform burst detection on the time series of dynamic topics to detect bursty occurrences. We apply our proposed techniques to the real world application by detecting topical events in public transport tweets. Experiments demonstrate that our approach can detect the newsworthy events with high success rate.<br><br>Provided link supports the dataset used for this paper.
DOI: 10.25439/rmt.13121852.v2
title: Topical Event Detection on Twitter

description: Event detection on Twitter has attracted active research. Although existing work considers the semantic topic structure of documents for event detection, the topic dynamics and the semantic consistency are under-investigated. In this paper, we study the problem of topical event detection in tweet streams. We define topical events as the bursty occurrences of semantically consistent topics. We decompose the problem of topical event detection into two components: (1) We address the issue of the semantic incoherence of the evolution of topics. We propose to improve topic modelling to filter out semantically inconsistent dynamic topics. (2) We propose to perform burst detection on the time series of dynamic topics to detect bursty occurrences. We apply our proposed techniques to the real world application by detecting topical events in public transport tweets. Experiments demonstrate that our approach can detect the newsworthy events with high success rate.<br><br>Provided link supports the dataset used for this paper.
DOI: 10.25439/rmt.13121852.v1
title: Topical Event Detection on Twitter

description: Event detection on Twitter has attracted active research. Although existing work considers the semantic topic structure of documents for event detection, the topic dynamics and the semantic consistency are under-investigated. In this paper, we study the problem of topical event detection in tweet streams. We define topical events as the bursty occurrences of semantically consistent topics. We decompose the problem of topical event detection into two components: (1) We address the issue of the semantic incoherence of the evolution of topics. We propose to improve topic modelling to filter out semantically inconsistent dynamic topics. (2) We propose to perform burst detection on the time series of dynamic topics to detect bursty occurrences. We apply our proposed techniques to the real world application by detecting topical events in public transport tweets. Experiments demonstrate that our approach can detect the newsworthy events with high success rate.<br><br>Provided link supports the dataset used for this paper.
DOI: 10.5281/zenodo.4453729
title: Data supplementing article "Exchange flow and material transport along the salinity gradient in a long estuary" submitted to the Journal of Geophysical Research: Oceans

description: This Matlab dataset supplements the article: Xiong, J., Shen, J., Qin, Q. Exchange flow and material transport along the salinity gradient of a long estuary, submitted to the Journal of Geophysical Research: Oceans contact: Jilian Xiong, jxiong@vims.edu or xiongjilian@gmail.com
DOI: 10.5517/ccdc.csd.cc2677j7
title: CCDC 2032748: Experimental Crystal Structure Determination

description: Related Article: Susnata Pramanik, Brice Kauffmann, Stefan Hecht, Yann Ferrand, Ivan Huc|2021|Chem.Commun.|57|93|doi:10.1039/D0CC06484J
DOI: 10.5517/ccdc.csd.cc2677k8
title: CCDC 2032749: Experimental Crystal Structure Determination

description: Related Article: Susnata Pramanik, Brice Kauffmann, Stefan Hecht, Yann Ferrand, Ivan Huc|2021|Chem.Commun.|57|93|doi:10.1039/D0CC06484J
DOI: 10.5517/ccdc.csd.cc2677l9
title: CCDC 2032750: Experimental Crystal Structure Determination

description: Related Article: Susnata Pramanik, Brice Kauffmann, Stefan Hecht, Yann Ferrand, Ivan Huc|2021|Chem.Commun.|57|93|doi:10.1039/D0CC06484J
DOI: 10.5517/ccdc.csd.cc269m38
title: CCDC 2035029: Experimental Crystal Structure Determination

description: Related Article: Asa W. Nichols, Joseph S. Kuehner, Brittany L. Huffman, Peter R. Miedaner, Diane A. Dickie, Charles W. Machan|2021|Chem.Commun.|57|516|doi:10.1039/D0CC06763F
DOI: 10.24431/rw1k57o
title: Genetic data on the relative productivity of hatchery pink salmon in a natural stream, Hogan Bay, Alaska, 2013-2016

description: This study was conducted to understand the potential fitness effects of hatchery strays on the reproductive success of a natural stock of pink salmon (Oncorhynchus gorbuscha) in Hogan Bay, Alaska. These .csv files contain genotypes for 298 single nucleotide polymorphism amplicons and corresponding metadata (otolith-origin, sample date) for nearly 8,000 individuals. Genotypes were generated using Genotyping-in-Thousands by sequencing methods adapted from Campbell et al. 2015. Samples and field data were collected by Prince William Sound Science Center in the summers of 2013-2016 and genotyped in 2018 by the Gene Conservation Lab at the Alaska Department of Fish and Game.
DOI: 10.5281/zenodo.4453749
title: Data for Developmental cell programs are co-opted in inflammatory skin disease - filtered, annotated anndata object

description: Dataset to accompany BioRxiv preprint "Poised cell circuits in human skin are activated in disease" (https://www.biorxiv.org/content/10.1101/2020.11.05.369363v1). Data in AnnData (h5ad) format. Preprocessed to exclude doublets and low quality cells (&lt;200 genes and &gt;20% mitochondrial content). Includes neighborhood graph and UMAP coordinates and annotation from the manuscript in metadata. Full dataset with annotation ("combined") in obs.
description: This has been updated - the previous version had multiple old annotations that are no longer in use,
DOI: 10.5281/zenodo.4430901
title: HPA Cell Image Segmentation Dataset

description: This dataset includes annotated cell images obtained from the Human Protein Atlas (http://www.proteinatlas.org), each image contains 4 channels (Microtubules, ER, Nuclei and Protein of Interest), the cells in each image are annotated with polygons and saved into GeoJSON format produced with Kaibu(https://kaibu.org) annotation tool. This dataset is available as an example dataset for running a deep learning-based interactive annotation tools in ImJoy (https://github.com/imjoy-team/imjoy-interactive-segmentation).
DOI: 10.5519/qd.p8ijsnnd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.6084/m9.figshare.13085129
title: Data and R code for "Non-kin adoption in the common vampire bat"

description: These files are the data and R code for analyzing a case of non-kin adoption in a captive colony of common vampire bats.<br>"rates_adoption.Rdata" are the data on allogrooming and food sharing rates among captive vampire bats. <br><br>"vamp_adoption.R" is the R script to analyze these data and visualize interaction rates through time.<br>
DOI: 10.6084/m9.figshare.13085129.v3
title: Data and R code for "Non-kin adoption in the common vampire bat"

description: These files are the data and R code for analyzing a case of non-kin adoption in a captive colony of common vampire bats.<br>"rates_adoption.Rdata" are the data on allogrooming and food sharing rates among captive vampire bats. <br><br>"vamp_adoption.R" is the R script to analyze these data and visualize interaction rates through time.<br>
DOI: 10.6073/pasta/68513aea641396fbce744b11355c3859
title: Santa Barbara Channel Marine BON: Nearshore kelp forest integrated benthic cover, 1980-ongoing

description: The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains cover of kelp forest sessile invertebrates, understory macroalgae, and substrate types by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. Divers collect data on using either uniform point contact (UPC) or random point contact (RPC) methods. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. Percent cover is recorded for taxa where individuals cannot be counted. Cover can be calculated from the data here as the fraction of total points at which the taxon was present x 100. With UPC and RPC methods, multiple species can be recorded at any given point. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. See Methods for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.25919/m668-en59
title: Parkes observations for project P574 semester 2020OCTS_02

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio-loud and radio-quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to find glitches, characterise timing noise, investigate dispersion and rotation measure variability, and enhance our knowledge of single pulse phenomenology. To date, we are (co-)authors on over 80 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Oxford, Manchester, Stanford, and Swinburne.
DOI: 10.3886/e112329v1-73640
title: Replication data for: Learning about a New Technology: Pineapple in Ghana

description: This paper investigates the role of social learning in the diffusion of a new agricultural technology in Ghana. We use unique data on farmers' communication patterns to define each individual's information neighborhood. Conditional on many potentially confounding variables, we find evidence that farmers adjust their inputs to align with those of their information neighbors who were surprisingly successful in previous periods. The relationship of these input adjustments to experience further indicates the presence of social learning. In addition, applying the same method to input choices for another crop, of known technology, correctly indicates an absence of social learning effects. (JEL D83, O13, O33, Q16)
DOI: 10.6073/pasta/e55f924c17f141dbfb2422eaaad17269
title: Santa Barbara Channel Marine BON: Nearshore kelp forest integrated benthic cover, 1980-ongoing

description: The Santa Barbara Channel Marine Biodiversity Observation Network (SBCMBON) tracks long-term patterns in species abundance and diversity. This dataset contains cover of kelp forest sessile invertebrates, understory macroalgae, and substrate types by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA. Divers collect data on using either uniform point contact (UPC) or random point contact (RPC) methods. The four contributing projects are two research projects: The Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing. Data were collected by human observation (divers using SCUBA) during regular surveys. Percent cover is recorded for taxa where individuals cannot be counted. Cover can be calculated from the data here as the fraction of total points at which the taxon was present x 100. With UPC and RPC methods, multiple species can be recorded at any given point. The total percent cover of all species combined using this method can exceed 100%; however, the percent cover of any single species cannot exceed 100%. See Methods for information on integration and data processing. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.5281/zenodo.4453731
title: FCARKA103

description: Control2_Read2
DOI: 10.5281/zenodo.4453730
title: FCARKA103

description: Control2_Read2
DOI: 10.5281/zenodo.4453733
title: FCARKA104

description: Control3_Read1
DOI: 10.5281/zenodo.4453732
title: FCARKA104

description: Control3_Read1
DOI: 10.5281/zenodo.4453735
title: FCARKA105

description: Control3_Read2
DOI: 10.5281/zenodo.4453734
title: FCARKA105

description: Control3_Read2
DOI: 10.6084/m9.figshare.13619309
title: Supplementary Material files of G3

description: Supplementary Material files of G3 article, including Figire S1 and Genetype and Phenotype data.
DOI: 10.5281/zenodo.4453741
title: FCARKA107

description: TRC1_Read2
DOI: 10.5281/zenodo.4453740
title: FCARKA107

description: TRC1_Read2
DOI: 10.5281/zenodo.4453743
title: FCARKA108

description: TRC2_Read1
DOI: 10.5281/zenodo.4453742
title: FCARKA108

description: TRC2_Read1
DOI: 10.5281/zenodo.4437109
title: Optical Trapping Data for the manuscript "Myosin with hypertrophic cardiomyopathy mutation R712L has a reduced working stroke which is rescued by omecamtiv mecarbil"

description: Optical Trapping Data for the manuscript "Myosin with hypertrophic cardiomyopathy mutation R712L has a reduced working stroke which is rescued by omecamtiv mecarbil"
DOI: 10.5281/zenodo.4437108
title: Optical Trapping Data for the manuscript "Myosin with hypertrophic cardiomyopathy mutation R712L has a reduced working stroke which is rescued by omecamtiv mecarbil"

description: Optical Trapping Data for the manuscript "Myosin with hypertrophic cardiomyopathy mutation R712L has a reduced working stroke which is rescued by omecamtiv mecarbil"
DOI: 10.14457/cu.the.2017.114
title: Prevalence of healthy aging and factors associated in Thai urban elderly Bangkok Thailand

description: Population aging is a global phenomenon affecting many countries including Thailand. Many challenges come with aging population such as economical, social and healthcare system challenges, and healthy aging is the key to these problems. Only a few studies have focused on the prevalence and associated factors of healthy aging in Thailand. This study aims to estimate prevalence of healthy aging and identify factors related to healthy aging among Thai urban elderly in Bangkok, Thailand. Data for this cross-sectional study were collected by face-to-face interviews using questionnaires at Lumpini park, Bangkok between April to May 2018. A total of 200 older persons (100 males and 100 females) aged 60 years or over were recruited non-randomly. Descriptive analysis, Chi-square test, univariate and multivariate regression analyses were used to display the prevalence and associated factors of healthy aging. The prevalence of healthy aging in this population was at 66% based on five components of: totally independent physical function, normal cognitive function, good mental health status, normal nutritional status, and good quality of life. There were no differences in prevalence of healthy aging between males and females. After controlling for other covariates, household income, health awareness, physical activity and sleep were associated factors of healthy aging. In conclusion, about two-thirds of the seniors in the urban part of Bangkok met the criteria of healthy aging. The findings of this study can be used as provisional data for policy makers to help Thailand overcome challenges that come with aging population.
DOI: 10.14457/cu.the.2017.115
title: ACTIONS TO HELP BABIES BREATHE AT BIRTH:TRAINING INTERVENTIONSTO IMPROVE HEALTH WORKERS KNOWLEDGE, PRACTICESAND COMPETENCY ON HELPING BABIES BREATHE INTERTIARY HOSPITAL IN THE REPUBLIC OF SOUTH SUDAN

description: Background: This study aimed to examine the effects of the Helping Babies Breathe (HBB) training interventions program on the knowledge and practical skills of health workers in managing birth asphyxia and reducing mortality within 24 hours. Methods: This study was pre- posttest design. Participants were purposively selected to participate in the study. Juba Hospital was selected as intervention and Wau Hospital as control. Health workers were evaluated before and after training from February to June 2017. Post training evaluation was done immediately and three months using NeoNatalie newborn stimulator. Result: 70 health workers were enrolled; 40 were in the intervention and 30 in the control group. In the intervention group, knowledge increased from 42.5 % to 97.8% post-test (p&lt;0.05) but declined to 84.7% (p&lt;0.05) at 3 months. The practical skills among the intervention group increased significantly both at immediate posttest (94.4%) (p&lt;0.05)]. This further increased to 95.4% at 3 months 0.1 (-0.3-0.8). Practical skills for simple resuscitation increased from 27.0% at baseline to 88.9% at immediate post intervention and remained at 89.2%, 3 months follow up (p&lt;0.05).Meanwhile intervention group had significant increase in complex neonatal resuscitation between baseline and immediate post intervention (p&lt;0.05) However, it decreased at 3 months [CI 2.74(-6.71-1.22)] but the changes was insignificant (p&gt;0.05). Conclusion: This study has proven that training was effective in improving the knowledge and practical skill of the health workers and reduction of deaths related to birth asphyxia within 24 hours