cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e117921v1-131889
title: National Neighborhood Data Archive (NaNDA): Parks by Census Tract, United States, 2018

description: This dataset describes the number and area of parks in each census tract in the United States. Measures include the total number of parks, park area, and proportion of park area within each census tract.<br><br>A curated version of this data is available through ICPSR at https://www.icpsr.umich.edu/web/ICPSR/studies/38586/versions/V1<br>
description: Census tract in the United States, including Alaska and Hawaii. Smallest Geographic Unit: census tract
DOI: 10.5281/zenodo.6028530
title: Coral cover and coral bleaching in the Gulf of Chiriqui

description: <strong>Coral cover and coral bleaching in the Gulf of Chiriqui</strong> <strong>Description</strong>: This repository compiles and analyzes coral cover, bleaching and mortality data from 1980-2018. <strong>Content</strong>: <strong>1.Uva_cover.Rmd:</strong> Script for coral cover data analysis <strong>2.Chiriqui_Bleaching.Rmd:</strong> Script for coral bleaching data analysis BleachingData: Directory containing data files in .csv format with the bleaching proportions in the Gulf of Chiriqui CoverData: Directory containing data files in .csv format with the coral cover data in the Gulf of Chiriqui Outputs: Directory containing figure files and multicomparison results. Figure 1b Figure 2 Figure S1 Figure S2 Figure S3 Figure S4
DOI: 10.17632/dtvbwrhznz.3
title: MED117_Medicinal Plant Leaf Dataset & Name Table

description: There are two datasets and one table uploaded in this platform under the title "MED117_Medicinal Plant Leaf Dataset & Name Table".  A folder is created with title "MED 117 Leaf Species". Inside this two sub folders with titles " Raw leaf image set of medicinal plants_v2" and "Segmented leaf set using UNET segmentation" are created.  Raw leaf image set consists of leaf images of 117 medicinal plants found in Assam. All the samples are collected by visiting different (Govt, Public and Private) medicinal gardens situated in different places of Assam and some other general places where they are mostly found. Videos of 10 to 15 seconds duration were taken for two to three leaves of every species on a white background and video recording was done using a SLR Canon Camera. Individual videos were segregated into image frames and thus were able to get around 77,700 jpg image frames from the videos. The Raw leaf image set consists of folders with scientific name and common name within bracket. 
        Second  folder with title "Segmented leaf set using UNET segmentation" consists of 115 medicinal plant species with their  segmented leaf image samples using  UNET segmentation technique. Here two species  are excluded from the original dataset due to small unpredictable size of the samples, so total 115  subfolders inside the segmented folder is achieved.
        Thirdly a table in doc format with title "Medicinal Plant Name  Table" is uploaded and it includes Scientific name, Common name and Assamese name of the plants listed in the folders in the same sequence.  The whole contribution is absolutely original and new, collected from different sources then processed for segmentation and prepared the table by discussing with taxonomy experts from Botany department of Gauhati University, Guwahati, Assam. India.
DOI: 10.6084/m9.figshare.21926337
title: Drug side effect predictions

description: Predictions from the paper
DOI: 10.17632/dtvbwrhznz.2
title: MED117_Medicinal Plant Leaf Dataset & Name Table

description: There are two datasets and one table uploaded in this platform under the title "MED117_Medicinal Plant Leaf Dataset & Name Table".  A folder is created with title "MED 117 Leaf Species". Inside this folder two  sub folders are created  with titles " Raw leaf image set of medicinal plants" and "Segmented leaf set using UNET segmentation".  Raw leaf image set consists of leaf images of 117 medicinal plants found in North East Indian state Assam. All the samples are collected by visiting different (Govt, Public and Private) medicinal gardens situated in different places of Assam and some other general places where they are mostly found. Videos of 10 to 15 seconds duration were taken for two to three leaves of every species on a white background and video recording was done using a SLR Canon Camera. Individual videos were segregated into image frames and thus were able to get around 77,700 jpg image frames from the videos. The Raw leaf image set consists of folders with scientific name and common name within bracket. 
        Second  folder with title "Segmented leaf set using UNET segmentation" consist of 115 medicinal plant species with their  segmented leaf image samples using  UNET segmentation technique. Here two species  are excluded from the original one due to very small size of the samples, so total 116   subfolders inside segmented folder.
        Thirdly a table in doc format with title "Medicinal Plant Name  Table" is uploaded and it includes Scientific name, Common name and Assamese name of the plants listed in the folders in the same sequence.  The whole contribution is absolutely original and new, collected from different sources then processed for segmentation and prepared the table by discussing with taxonomy experts from Botany department of Gauhati University, Guwahati, Assam. India.
DOI: 10.17632/c3bsd4mrsp.1
title: Database_Supplementary material_order picking review (2007-2020)

description: Supplementary material for the paper: Trends in order picking: a 2007-2020 review of the literature
DOI: 10.17632/c3bsd4mrsp.2
title: Database_Supplementary material_order picking review (2007-2020)

description: Supplementary material for the paper: Trends in order picking: a 2007-2020 review of the literature
DOI: 10.6084/m9.figshare.3761562.v2463
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.21926400.v1
title: Drug indication predictions

description: Drug indications from the paper
DOI: 10.6084/m9.figshare.21926400
title: Drug indication predictions

description: Drug indications from the paper
DOI: 10.6084/m9.figshare.21926403
title: Drug disease genomics matrix

description: <em>drug-disease genome matrix </em>described in the manuscript
DOI: 10.6084/m9.figshare.21926403.v1
title: Drug disease genomics matrix

description: <em>drug-disease genome matrix </em>described in the manuscript
DOI: 10.5281/zenodo.5348438
title: Individual Pocillopora colony responses to the 2014-16 ENSO (Symbiodiniaceae communities at Uva)

description: No description provided.
DOI: 10.5281/zenodo.5348437
title: Symbiodiniaceae dynamics in Pocillopora spp. during the 2015 to 2016 El Nino

description: Cleaned code after reviews
DOI: 10.26093/cds/vizier.19150092
title: SOFIA CII and NII obs. of M101 and NGC6946

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Characterizing the multiphase origin of [CII] emission in M101 and NGC 6946 with velocity-resolved spectroscopy.' (bibcode: 2021ApJ...915...92T)
DOI: 10.5281/zenodo.7552682
title: none

description: none
DOI: 10.5281/zenodo.7552681
title: none

description: none
DOI: 10.6084/m9.figshare.21905721
title: Harbinger-2 survey: impact of the pandemic on early career researchers

description: The data were collected through an online international survey of early career researchers in the 2nd half of 2022 to understand the impact of the COVID-19 pandemic on their work-life, career, and scholarly communication behaviour and attitudes. The survey was the last phase of a bigger project named Harbinger-2 conducted by an international team of researchers from CIBER Research and the University of Tennessee at Knoxville, and funded by the Alfred P. Sloan Foundation. The date relates to the following paper: Jamali, H. R. et a. (2023). The pandemic and changes in early career researchers’ career prospects, research and publishing practices. PLOS ONE. https://doi.org/10.1371/journal.pone.0281058
DOI: 10.6084/m9.figshare.21905721.v1
title: Harbinger-2 survey: impact of the pandemic on early career researchers

description: The data were collected through an online international survey of early career researchers in the 2nd half of 2022 to understand the impact of the COVID-19 pandemic on their work-life, career, and scholarly communication behaviour and attitudes. The survey was the last phase of a bigger project named Harbinger-2 conducted by an international team of researchers from CIBER Research and the University of Tennessee at Knoxville, and funded by the Alfred P. Sloan Foundation. The date relates to the following paper: Jamali, H. R. et a. (2023). The pandemic and changes in early career researchers’ career prospects, research and publishing practices. PLOS ONE. https://doi.org/10.1371/journal.pone.0281058
DOI: 10.5281/zenodo.7552142
title: Choking Susceptibility and the Big Five Personality Traits

description: Dataset for a study examining the differences between the Big Five personality traits on choking susceptible and choking non-susceptible individuals from a Canadian University using a cross-sectional design.
DOI: 10.5281/zenodo.7552141
title: Choking Susceptibility and the Big Five Personality Traits

description: Dataset for a study examining the differences between the Big Five personality traits on choking susceptible and choking non-susceptible individuals from a Canadian University using a cross-sectional design.
DOI: 10.6084/m9.figshare.21926496
title: Flexible CDF-quantile distributions on the closed unit interval, with software and applications

description: This paper presents a flexible family of 2- and 3-parameter distributions whose support is the closed interval [0,1], with explicit density, cumulative density, and quantile functions. These distributions are suited to modeling quantiles, thereby expanding the toolbox of distributions for doubly-bounded random variables. The densities at the boundaries are determined by dispersion and skew parameters, and a third parameter exclusively influences location. The paper also discusses practical issues of parameter estimation and assesses estimation bias, Type I error-rate accuracy, and parameter-estimate collinearity. It also provides three examples of applications to real data using new packages implementing the distributions in R and Stata.
DOI: 10.6084/m9.figshare.21926496.v1
title: Flexible CDF-quantile distributions on the closed unit interval, with software and applications

description: This paper presents a flexible family of 2- and 3-parameter distributions whose support is the closed interval [0,1], with explicit density, cumulative density, and quantile functions. These distributions are suited to modeling quantiles, thereby expanding the toolbox of distributions for doubly-bounded random variables. The densities at the boundaries are determined by dispersion and skew parameters, and a third parameter exclusively influences location. The paper also discusses practical issues of parameter estimation and assesses estimation bias, Type I error-rate accuracy, and parameter-estimate collinearity. It also provides three examples of applications to real data using new packages implementing the distributions in R and Stata.
DOI: 10.6084/m9.figshare.19692223
title: GrantPeerReview_Scoring_Ranking_DataA2

description: Scoring and ranking data from peer review of biomedical research funding applications in 2021. Proposals were reviewed by 2 individual reviewers before the meeting, and then by a panel of experts at the meeting, who then scored each proposal after discussion on a scale of 1.0 to 5.0 (1 is the most meritorious). Then, after all proposals have been discussed, reviewers can look at the list of proposals (only those without conflicts) and their scores and then rank their top six proposals on the panel. Scoring and ranking data per proposal and per reviewer are represented, as well as the individual pre-meeting assignments, pre-meeting scores and any conflicts of interest. Panel scores should be present for every reviewer unless they had a conflict or in some instances were not present during the discussion.
DOI: 10.25838/d5p-41
title: Supporting Information for "Loading and Co-Solvent-Triggered Release of Okanin, a C4 Plant Key Enzyme Inhibitor, into/from Functional Microgels"

description: The constantly growing world population leads to increasing demands for food, which challenges modern agriculture manifold. Pests, such as weeds, require the application of agrochemicals to increase crop yield. Due to the environmental impact of these potentially hazardous chemicals, the demand for more efficient formulations is increasing. Promising formulations consist of easily adaptable carriers from which controllable stimuli release the agrochemicals. Here, we investigated poly(N vinylcaprolactam) (pVCL)-based microgels as a potential carrier for okanin, an inhibitor of the C4 plant key enzyme phosphoenolpyruvate carboxylase, by combining experiments, molecular simulations, and free energy computations. Dynamic light scattering, scanning transmission electron and atomic force microscopy revealed that pVCL microgels collapse and rigidify upon the loading of okanin. The simulations identified loosely adsorbed okanin and tightly bound okanin mediating inter-chain crosslinks. With increasing okanin concentration, stacking interactions of okanin occur with adsorbed and bound okanin. These findings can explain the experimentally observed collapse and the rigidification of the microgels. Based on the atomistic insights, two poly(N vinylcaprolactam co glycidyl methacrylate) microgels were synthesized, for which a doubled loading capacity of okanin was found. Finally, we investigated the triggered release of okanin using the addition of green solvents as a stimulus. This work establishes a basis for the further optimization of pVCL-based microgels as a carrier for the delivery of polyphenolic agrochemicals.
DOI: 10.25822/299a-7m22
title: Non-Human Primate NOP Agonist
DOI: 10.6084/m9.figshare.21545814
title: Avirulent phenotype promotes <i>Bordetella pertussis</i> adaptation to the intramacrophage environment

description: <i>Bordetella pertussis</i>, the causative agent of whooping cough, is an extracellular, strictly human pathogen. However, it has been shown that <i>B. pertussis</i> cells can escape phagocytic killing and survive in macrophages upon internalization. Our time-resolved RNA-seq data suggest that <i>B. pertussis</i> efficiently adapts to the intramacrophage environment and responds to host bactericidal activities. We show that this adaptive response is multifaceted and, surprisingly, related to the BvgAS two-component system, a master regulator of virulence. Our results show that the expression of this regulatory circuit is downregulated upon internalization. Moreover, we demonstrate that the switch to the avirulent Bvg<sup>−</sup> phase augments a very complex process based on the adjustment of central and energy metabolism, cell wall reinforcement, maintenance of appropriate redox and metal homeostasis, and repair of damaged macromolecules. Nevertheless, not all observed effects could be simply attributed to the transition to Bvg<sup>−</sup> phase, suggesting that additional regulators are involved in the adaptation to the intramacrophage environment. Interestingly, a large number of genes required for the metabolism of sulphur were strongly modulated within macrophages. In particular, the mutant lacking two genes encoding cysteine dioxygenases displayed strongly attenuated cytotoxicity toward THP-1 cells. Collectively, our results suggest that intracellular <i>B. pertussis</i> cells have adopted the Bvg<sup>−</sup> mode to acclimate to the intramacrophage environment and respond to antimicrobial activities elicited by THP-1 cells. Therefore, we hypothesize that the avirulent phase represents an authentic phenotype of internalized <i>B. pertussis</i> cells.
DOI: 10.6084/m9.figshare.21545814.v2
title: Avirulent phenotype promotes <i>Bordetella pertussis</i> adaptation to the intramacrophage environment

description: <i>Bordetella pertussis</i>, the causative agent of whooping cough, is an extracellular, strictly human pathogen. However, it has been shown that <i>B. pertussis</i> cells can escape phagocytic killing and survive in macrophages upon internalization. Our time-resolved RNA-seq data suggest that <i>B. pertussis</i> efficiently adapts to the intramacrophage environment and responds to host bactericidal activities. We show that this adaptive response is multifaceted and, surprisingly, related to the BvgAS two-component system, a master regulator of virulence. Our results show that the expression of this regulatory circuit is downregulated upon internalization. Moreover, we demonstrate that the switch to the avirulent Bvg<sup>−</sup> phase augments a very complex process based on the adjustment of central and energy metabolism, cell wall reinforcement, maintenance of appropriate redox and metal homeostasis, and repair of damaged macromolecules. Nevertheless, not all observed effects could be simply attributed to the transition to Bvg<sup>−</sup> phase, suggesting that additional regulators are involved in the adaptation to the intramacrophage environment. Interestingly, a large number of genes required for the metabolism of sulphur were strongly modulated within macrophages. In particular, the mutant lacking two genes encoding cysteine dioxygenases displayed strongly attenuated cytotoxicity toward THP-1 cells. Collectively, our results suggest that intracellular <i>B. pertussis</i> cells have adopted the Bvg<sup>−</sup> mode to acclimate to the intramacrophage environment and respond to antimicrobial activities elicited by THP-1 cells. Therefore, we hypothesize that the avirulent phase represents an authentic phenotype of internalized <i>B. pertussis</i> cells.
DOI: 10.6084/m9.figshare.20006688
title: Model Checking for Logistic Models When the Number of Parameters Tends to Infinity

description: We propose a projection-based test to check logistic regression models when the dimension of the covariate vector may be divergent. The proposed test achieves a reduction in dimension, and the proposed method behaves as if only a single covariate is present. The test is shown to be consistent and can detect root-<i>n</i> local alternatives. We derive the asymptotic distribution of the proposed test under the null hypothesis and establish the test’s asymptotic behavior under the local and global alternatives. The numerical performance is remarkably attractive comparing to the existing methods. Real examples are presented for illustration. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20006688.v1
title: Model Checking for Logistic Models When the Number of Parameters Tends to Infinity<sup>1</sup>

description: We propose a projection-based test to check logistic regression models when the dimension of the covariate vector may be divergent. The proposed test achieves a reduction in dimension, and the proposed method behaves as if only a single covariate is present. The test is shown to be consistent and can detect root-<i>n</i> local alternatives. We derive the asymptotic distribution of the proposed test under the null hypothesis and establish the test’s asymptotic behavior under the local and global alternatives. The numerical performance is remarkably attractive comparing to the existing methods. Real examples are presented for illustration.
DOI: 10.6084/m9.figshare.20006688.v2
title: Model Checking for Logistic Models When the Number of Parameters Tends to Infinity

description: We propose a projection-based test to check logistic regression models when the dimension of the covariate vector may be divergent. The proposed test achieves a reduction in dimension, and the proposed method behaves as if only a single covariate is present. The test is shown to be consistent and can detect root-<i>n</i> local alternatives. We derive the asymptotic distribution of the proposed test under the null hypothesis and establish the test’s asymptotic behavior under the local and global alternatives. The numerical performance is remarkably attractive comparing to the existing methods. Real examples are presented for illustration. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.7552776
title: Dataset for 4-clique network minor embedding for quantum annealers

description: Dataset for the paper titled 4-clique network minor embedding for quantum annealers. Includes raw D-Wave quantum annealer samples and minor embedding graph structures.
DOI: 10.5281/zenodo.7552775
title: Dataset for 4-clique network minor embedding for quantum annealers

description: Dataset for the paper titled 4-clique network minor embedding for quantum annealers. Includes raw D-Wave quantum annealer samples and minor embedding graph structures.
DOI: 10.5281/zenodo.7552791
title: DATA SET HELBER MAURICIO SANDOVAL CUMBE

description: This data set it's test as part of an academic excersice conducted by the Cooperative University.
description: DATA SET
DOI: 10.5281/zenodo.7552790
title: DATA SET HELBER MAURICIO SANDOVAL CUMBE

description: This data set it's test as part of an academic excersice conducted by the Cooperative University.
description: DATA SET
DOI: 10.5517/ccdc.csd.cc28rlsf
title: CCDC 2108055: Experimental Crystal Structure Determination

description: Related Article: Chaopeng Hu, Yazhou Ding, Yunping Bai, Lulu Guo, Chunming Cui|2022|Chem.Commun.|58|13795|doi:10.1039/D2CC05472H
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.cc2c55zq
title: CCDC 2179733: Experimental Crystal Structure Determination

description: Related Article: Ju Chen, Jing Yang, Munendra Yadav, David A. Shultz, Martin L. Kirk|2023|Inorg.Chem.|62|739|doi:10.1021/acs.inorgchem.2c02903
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.cc2cnbq3
title: CCDC 2194295: Experimental Crystal Structure Determination

description: Related Article: Mingxing Zhang, Katherine A. Forrest, Penghui Liu, Rui Dang, Huihui Cui, Guoping Qin, Tony Pham, Yanfeng Tang, Su Wang|2022|Inorg.Chem.|61|19944|doi:10.1021/acs.inorgchem.2c03217
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: 10.5281/zenodo.7300338
title: Joint Use of Far-Infrared and Mid-Infrared Observation for Sounding Retrievals: Learning from the Past for Upcoming Far-Infrared Missions

description: Dataset and software (Matlab) used for the analysis of synoptic weather pattern, information content and retrieval estimates
DOI: 10.5281/zenodo.7300339
title: Joint Use of Far-Infrared and Mid-Infrared Observation for Sounding Retrievals: Learning from the Past for Upcoming Far-Infrared Missions

description: Dataset and software (Matlab) used for the analysis of synoptic weather pattern, information content and retrieval estimates
DOI: 10.34703/gzx1-9v95/clvlk6/euuu0b
title: SRFA.zip

description: :unav
DOI: 10.34703/gzx1-9v95/clvlk6/qeepes
title: ESI_neg_4MW_HR-1_TIMS_FT_ICR_MS.d.zip.zip

description: :unav