cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28zr45
title: CCDC 2114917: Experimental Crystal Structure Determination

description: Related Article: Kulathu Sathiyanarayanan, Saravanan Enbanathan, Dhanapal Jyothi, Selin Manojkumar, Munusamy Sathishkumar, P. Aravindan|2022|CSD Communication|||
description: Related Article: Saravanan Enbanathan, Sathishkumar Munusamy, Dhanapal Jothi, Selin Manoj kumar, Aravindan Paduthapillai Gopal, Sathiyanarayanan KulathuIyer|2022|Dyes Pigm.|205|110514|doi:10.1016/j.dyepig.2022.110514
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.7038702
title: Ship tracks detected using machine learning algorithm

description: The filtered, vector ship tracks detected using the linked machine learning algorithm and derived from the linked segmentation masks. Each dataset contains the date and other related data for each shiptrack polygon. The `_geo` dataset contains the polygons on a lat/lon coordinate system while the other provides the polygons on the MODIS swath (pixel) indices.
DOI: 10.5517/ccdc.csd.cc2bfhkv
title: CCDC 2157927: Experimental Crystal Structure Determination

description: Related Article: Xiao Pang, Yuliang Tao, Junfeng Zhang, Huiping Chen, Ahui Sun, Guojian Ren, Weiting Yang, Qinhe Pan|2022|J.Mol.Struct.|1271|134079|doi:10.1016/j.molstruc.2022.134079
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.cc2bgncv
title: CCDC 2159037: Experimental Crystal Structure Determination

description: Related Article: Xiao Pang, Yuliang Tao, Junfeng Zhang, Huiping Chen, Ahui Sun, Guojian Ren, Weiting Yang, Qinhe Pan|2022|J.Mol.Struct.|1271|134079|doi:10.1016/j.molstruc.2022.134079
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.6598401
title: Measuring embodied analogy-making in singing performances: insights from an OpenPose study

description: Kinesemiotics studies how we create meaning with their bodies by making projections onto space. This type of embodied analogy-making is fundamental to how we conceptualize experiences and the embodiment hypothesis postulates that conventional meanings are reminiscent of this sense-making process. This entails that conventions reflect the way we conceptualize the world. Interestingly, in musical interactions, people rely both on widely established conventions and very local analogy-making, which suggests that both processes interact simultaneously. Accordingly, the present study aims at empirically investigating how conventionality and situatedness interact in shaping spatial conceptualizations of pitch as a property of music. In many languages around the world, pitch is conceptualized in terms of spatial metaphors (e.g. ‘low’ and ‘high’ tones in Dutch) and this convention can be enacted using bodily projections in space (e.g. by referring to low and high locations). An experiment was conducted, in which participants (native speakers of Dutch) had to listen to and reproduce melodies using vocalizations. We used OpenPose to track the participants’ head movements during both listening and the singing phases. One group (n=19) could read staff notation, while the other group (n=19) could not, indicating less familiarity with musical conventions. The main hypothesis was that participants having less experience with musical conventions would rely more on embodied analogy-making, showing more systematic vertical head movements that are congruent with the pitch contours (i.e. falling and rising) as compared to participants with more experience. This hypothesis was confirmed, and the result entails that a lesser degree of formal musical education corresponds to a need for a more elaborate sense-making process in a particular performance context, challenging recent studies on the role of conventionality in conceptualizations.
DOI: 10.5281/zenodo.7027942
title: Measuring embodied analogy-making in singing performances: insights from an OpenPose study

description: People conceptualize auditory pitch as vertical space: low and high pitch correspond to low and high space respectively. The strength of this cross-modal correspondence, however, seems to vary across different cultural contexts and a debate on the different factors underlying this variation is currently taking place. According to one hypothesis, pitch mappings are semantically mediated. For instance, the use of conventional metaphors such as ‘falling’ or ‘rising’ melodies strengthens a pitch-height mapping to the detriment of other possible mappings (e.g. pitch as bright/dark color or small/big size). Hence, entrenched pitch terms shape specific conceptualizations. The deterministic role of language is called into question by the hypothesis that different pitch mappings share a less constraining conceptual basis. As such, conceptual primitives may be concretized <em>ad hoc</em> into specific domains so that more local variation is possible<em>.</em> This claim is supported, for instance, by the finding that musicians use language-congruent (conventional) and language-incongruent (<em>ad hoc</em>) mappings interchangeably. The present paper substantiates this observation by investigating the head movements of musically trained and untrained speakers of Dutch in a melody reproduction task, as embodied instantiations of a vertical conceptualization of pitch. The OpenPose algorithm was used to track the movement trajectories in detail. The results show that untrained participants systematically made language-congruent movements, while trained participants showed more diverse behaviors, including language-incongruent movements. The difference between the two groups could not be attributed to the level of accuracy in the singing performances. In sum, this study argues for a joint consideration of more entrenched (e.g. linguistic metaphors) and more context-dependent (e.g. musical training and task) factors in accounting for variability in pitch representations.
DOI: 10.5281/zenodo.7082438
title: Measuring embodied conceptualizations of pitch insinging performances: insights from an OpenPose study

description: People conceptualize auditory pitch as vertical space: low and high pitch correspond to low and high space respectively. The strength of this cross-modal correspondence, however, seems to vary across different cultural contexts and a debate on the different factors underlying this variation is currently taking place. According to one hypothesis, pitch mappings are semantically mediated. For instance, the use of conventional metaphors such as ‘falling’ or ‘rising’ melodies strengthens a pitch-height mapping to the detriment of other possible mappings (e.g. pitch as bright/dark color or small/big size). Hence, entrenched pitch terms shape specific conceptualizations. The deterministic role of language is called into question by the hypothesis that different pitch mappings share a less constraining conceptual basis. As such, conceptual primitives may be concretized <em>ad hoc</em> into specific domains so that more local variation is possible<em>.</em> This claim is supported, for instance, by the finding that musicians use language-congruent (conventional) and language-incongruent (<em>ad hoc</em>) mappings interchangeably. The present paper substantiates this observation by investigating the head movements of musically trained and untrained speakers of Dutch in a melody reproduction task, as embodied instantiations of a vertical conceptualization of pitch. The OpenPose algorithm was used to track the movement trajectories in detail. The results show that untrained participants systematically made language-congruent movements, while trained participants showed more diverse behaviors, including language-incongruent movements. The difference between the two groups could not be attributed to the level of accuracy in the singing performances. In sum, this study argues for a joint consideration of more entrenched (e.g. linguistic metaphors) and more context-dependent (e.g. musical training and task) factors in accounting for variability in pitch representations.
DOI: 10.5281/zenodo.6598400
title: Measuring embodied conceptualizations of pitch insinging performances: insights from an OpenPose study

description: People conceptualize auditory pitch as vertical space: low and high pitch correspond to low and high space respectively. The strength of this cross-modal correspondence, however, seems to vary across different cultural contexts and a debate on the different factors underlying this variation is currently taking place. According to one hypothesis, pitch mappings are semantically mediated. For instance, the use of conventional metaphors such as ‘falling’ or ‘rising’ melodies strengthens a pitch-height mapping to the detriment of other possible mappings (e.g. pitch as bright/dark color or small/big size). Hence, entrenched pitch terms shape specific conceptualizations. The deterministic role of language is called into question by the hypothesis that different pitch mappings share a less constraining conceptual basis. As such, conceptual primitives may be concretized <em>ad hoc</em> into specific domains so that more local variation is possible<em>.</em> This claim is supported, for instance, by the finding that musicians use language-congruent (conventional) and language-incongruent (<em>ad hoc</em>) mappings interchangeably. The present paper substantiates this observation by investigating the head movements of musically trained and untrained speakers of Dutch in a melody reproduction task, as embodied instantiations of a vertical conceptualization of pitch. The OpenPose algorithm was used to track the movement trajectories in detail. The results show that untrained participants systematically made language-congruent movements, while trained participants showed more diverse behaviors, including language-incongruent movements. The difference between the two groups could not be attributed to the level of accuracy in the singing performances. In sum, this study argues for a joint consideration of more entrenched (e.g. linguistic metaphors) and more context-dependent (e.g. musical training and task) factors in accounting for variability in pitch representations.
DOI: 10.6084/m9.figshare.21119968
title: RDM IMPLEMENTATION DATA.csv

description: Data was collected at a higher education institution in Tazania to have a better understanding of the level of awareness of research data management practices
DOI: 10.6084/m9.figshare.21119968.v1
title: RDM IMPLEMENTATION DATA.csv

description: Data was collected at a higher education institution in Tazania to have a better understanding of the level of awareness of research data management practices
DOI: 10.17028/rd.lboro.21120490
title: Supplementary information files for Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis

description: Supplementary information files for article Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis Background. Adolescents in secure psychiatric care typically report high obesity rates. However, longitudinal research exploring the rate and extent of change is sparse. This study aimed to analyse sex differences in longitudinal body mass index (BMI) change for adolescents receiving treatment in a secure psychiatric hospital. <br> Methods.The sample comprised 670 adolescents in secure psychiatric care. BMI trajectories from admission to 50 months of hospitalisation were produced using sex-stratified multilevel models. Systematic difference in mean BMI trajectories according to age at admission (14, 15, 16, or 17 years), medication (Olanzapine or Sodium Valproate), and primary diagnosis (Psychotic, non-Psychotic or Functional/behavioural disorders) were investigated. <br> Results.Together, males and females experienced a mean BMI increase of 2.22 m/kg2 over the 50-month period. For females, BMI increased from 25.69 m/kg2 to 30.31 m/kg2, and for males, reduced from 25.01 m/kg2 to 23.95 m/kg2. From 30 to 50 months, a plateau was observed for females and a reduction in BMI observed for males. Psychotic disorders in males (β 3.87; CI 1.1–6.7) were associated with the greatest rate of BMI change. For medication, Olanzapine in females was associated with the greatest rate of change (β1.78; CI −.89–4.47). <br> Conclusions.This is the first longitudinal study exploring longitudinal BMI change for adolescent inpatients. Results highlight that individual differences in adolescent inpatients result in differing levels of risk to weight gain in secure care. Specifically, males with psychotic disorders and females taking Olanzapine present the greatest risk of weight gain. This has implications for the prioritisation of interventions for those most at risk of weight gain.
DOI: 10.17028/rd.lboro.21120490.v1
title: Supplementary information files for Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis

description: Supplementary information files for article Differences in body mass index trajectories of adolescent psychiatric inpatients by sex, age, diagnosis and medication: an exploratory longitudinal, mixed effects analysis Background. Adolescents in secure psychiatric care typically report high obesity rates. However, longitudinal research exploring the rate and extent of change is sparse. This study aimed to analyse sex differences in longitudinal body mass index (BMI) change for adolescents receiving treatment in a secure psychiatric hospital. <br> Methods.The sample comprised 670 adolescents in secure psychiatric care. BMI trajectories from admission to 50 months of hospitalisation were produced using sex-stratified multilevel models. Systematic difference in mean BMI trajectories according to age at admission (14, 15, 16, or 17 years), medication (Olanzapine or Sodium Valproate), and primary diagnosis (Psychotic, non-Psychotic or Functional/behavioural disorders) were investigated. <br> Results.Together, males and females experienced a mean BMI increase of 2.22 m/kg2 over the 50-month period. For females, BMI increased from 25.69 m/kg2 to 30.31 m/kg2, and for males, reduced from 25.01 m/kg2 to 23.95 m/kg2. From 30 to 50 months, a plateau was observed for females and a reduction in BMI observed for males. Psychotic disorders in males (β 3.87; CI 1.1–6.7) were associated with the greatest rate of BMI change. For medication, Olanzapine in females was associated with the greatest rate of change (β1.78; CI −.89–4.47). <br> Conclusions.This is the first longitudinal study exploring longitudinal BMI change for adolescent inpatients. Results highlight that individual differences in adolescent inpatients result in differing levels of risk to weight gain in secure care. Specifically, males with psychotic disorders and females taking Olanzapine present the greatest risk of weight gain. This has implications for the prioritisation of interventions for those most at risk of weight gain.
DOI: 10.5281/zenodo.7082437
title: Daily bus transportation demand - São Paulo/Brazil - Jan/2017 to Jun/2022

description: The raw demand data was obtained from SPTRANS, the public company responsible for bus transportation in São Paulo. São Paulo's greatest public transportation network is the bus network, which is mostly managed by public company SPTRANS. SPTRANS provides bus transportation services during business hours and night shifts, along with specific services directed towards impaired and disabled citizens who need support in traveling to hospitals and health centers. SPTRANS makes available online daily mobility data for all bus lines in São Paulo, providing an enormously valuable resource for data mining, urban geography studies, and transportation planning. By using this data, it is possible to effectively study the impacts of pandemics on São Paulo's bus transportation network and gain insights into the regional differences and if different kinds of lines were affected differently. The data is distributed in xlxs format and contains information about line name, demand by kind of users, such as users who pay with money, users who use travel cards, elderly users (who do not need to pay for travel), and total demand. The line name is a string containing a code made of letters and numbers. Demand data between January/2017 and June/2022 were automatically downloaded and accessed by a script in python, using pandas library for creating dataframes. There were significant challenges in using SPTRANS data, such as the irregular formatting of row and column names through the years, inconsistent abbreviations of keywords, such as terminal stations and metro stations (i.e "term.","terminal","metr","m", etc). These issues were solved by capturing the code and crossing the data with General Transit Feed Specification (GTFS) data, which is provided by SPTRANS as well on an almost weekly basis and contains information about route and schedule of lines for a given time period. This step enriched the data with standardized names and route points. Another difficulty in obtaining the data through automatic scripts is that Links do not have regular naming patterns. A significant number of downloaded XLSX files came with a bad configuration so that empty rows are read by pandas as filled with content, triggering an error related to a prohibitively large number of rows. This bug was solved by simply individually opening it and re-saving it. The details about the origin of this error are not understood by the authors. All the bus lines were enriched with geospatial information, containing all points belonging to each route, extracted from GTFS. After all these steps, the data was organized in a matrix where each row represents a day and each column represents a line. The geospatial information was stored separately. And since bus lines are created or deactivated with some regularity in São Paulo, The choice was to keep in the sample only the lines that remained active throughout the observation period.
DOI: 10.6084/m9.figshare.21120574
title: deinopsis_erosa_zanfona_1.fasta.gz

description: ........
DOI: 10.25500/edata.bham.00000870
title: Research data supporting ”Estimates of future new particle formation under different emission scenarios in Beijing”
DOI: 10.6084/m9.figshare.21120382.v2
title: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land

description: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land microbiome
DOI: 10.6084/m9.figshare.21120382.v1
title: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land

description: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land microbiome
DOI: 10.5522/04/21120121.v1
title: Artifact for "MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software"

description: This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software”, which is accepted by ESEC/FSE 2022. MAAT is a novel ensemble approach to improving the fairness-performance trade-off for ML software. It outperforms state-of-the-art bias mitigation methods. The artifact has also been placed on GitHub (https://github.com/chenzhenpeng18/FSE22-MAAT) under the Apache License, publicly accessible to other researchers. In this artifact, we provide the source code of MAAT and other existing bias mitigation methods that we use in our study, as well as the intermediate results, the installation instructions, and a replication guideline (included in the README). The replication guideline provides detailed steps to replicate all the results for all the research questions.
DOI: 10.5525/gla.researchdata.1347
title: An all-dielectric metasurface polarimeter

description: The data in this set are organised into the following folders: Figure 2 folder: This contains the data plotted in Figure 2 (a) - (i) of the manuscript. The simulation data are provided in *.mat format and the experimental data is provided in *.asc format. This is the data for the experimental diffraction patterns and finite-difference time-domain (FDTD) simulations for the degenerate polarization states. Figure 3 folder: This contains the data plotted in Figure 3 (a) - (d) of the manuscript. The data is provided in Excel *.xlsx format. This is the data generated from using the intensity of the diffracted spots to extract the Stokes parameters and comparing with analytical Stokes’ values.
DOI: 10.6084/m9.figshare.21120382
title: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land

description: Differences on Microbial Community and Enzymatic Activity Among Natural Forest, Forest Plantations and Agricultural Land microbiome
DOI: 10.5522/04/21120121
title: Artifact for "MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software"

description: This artifact is for the paper entitled “MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software”, which is accepted by ESEC/FSE 2022. MAAT is a novel ensemble approach to improving the fairness-performance trade-off for ML software. It outperforms state-of-the-art bias mitigation methods. The artifact has also been placed on GitHub (https://github.com/chenzhenpeng18/FSE22-MAAT) under the Apache License, publicly accessible to other researchers. In this artifact, we provide the source code of MAAT and other existing bias mitigation methods that we use in our study, as well as the intermediate results, the installation instructions, and a replication guideline (included in the README). The replication guideline provides detailed steps to replicate all the results for all the research questions.
DOI: 10.34740/kaggle/dsv/4208486
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21112231
title: Data sets for "Fragility in glassy liquids: A structural approach based on machine learning"

description: All data are in ASCII format.
DOI: 10.6084/m9.figshare.21112231.v4
title: Data sets for "Fragility in glassy liquids: A structural approach based on machine learning"

description: All data are in ASCII format.
DOI: 10.6084/m9.figshare.21116305
title: Investigation data.xlsx

description: The dataset records the survey data of six pairs of fenced and unfenced temperate grasslands in northeastern Inner Mongolia, China in 2020, including the latitude, longitude, and NDVI of 6 plots inside and outside the fence in each grassland.
DOI: 10.57745/lt2yfv/txt7ne
title: rpg_complete_2020_d35.zip

description: :unav
DOI: 10.57745/lt2yfv/xmmg4r
title: rpg_complete_2020_d29.zip

description: :unav
DOI: 10.57745/lt2yfv/azyo1o
title: rpg_complete_2020_d56.zip

description: :unav
DOI: 10.57745/lt2yfv/ebxevk
title: rpg_complete_2020_d22.zip

description: :unav