cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8238641
title: Endo_TS1_G03_PCM_chlorobenzene_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238642
title: Endo_TS1_G03_PCM_chlorobenzene_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.25377/sussex.23586057.v2
title: <strong>Dataset for paper: Tennis grunts communicate acoustic cues to sex and contest outcome </strong>

description: Data for Raine, Jordan, Pisanski, Katarzyna and Reby, David (2017) <em><strong>Tennis grunts communicate acoustic cues to sex and contest outcome</strong></em><strong>. </strong>Animal Behaviour, 130. pp. 47-55 Please see Tennis Grunts 2017 Dataset Information Sheet.pdf for an explanation of these data. Abstract Despite their ubiquity in human behaviour, the communicative functions of nonverbal vocalisations remain poorly understood. Here, we analysed the acoustic structure of tennis grunts, nonverbal vocalisations produced in a competitive context. We predicted that tennis grunts convey information about vocalizer and context, similar to nonhuman vocal displays. Specifically, we tested whether the fundamental frequency (F0) of tennis grunts conveys static cues to a playerâ€™s sex, height, weight, and age, and covaries dynamically with tennis shot type (a proxy of body posture) and the progress and outcome of male and female professional tennis contests. We also performed playback experiments (using natural and resynthesised stimuli) to assess the perceptual relevance of tennis grunts. The F0 of tennis grunts predicted player sex, but not age or body size. Serve grunts had higher F0 than forehand and backhand grunts, grunts produced later in contests had higher F0 than those produced earlier, and grunts produced during contests that players won had a lower F0 than those produced during lost contests. This difference in F0 between losses and wins emerged early in matches, and did not change in magnitude as the match progressed, suggesting a possible role of physiological and/or psychological factors manifesting early or even before matches. Playbacks revealed that listeners use grunt F0 to infer sex and contest outcome. These findings indicate that tennis grunts communicate information about both vocalizer and contest, consistent with nonhuman mammal vocalisations.
DOI: 10.25377/sussex.23586057
title: Dataset for paper: Tennis grunts communicate acoustic cues to sex and contest outcome

description: Data for Raine, Jordan, Pisanski, Katarzyna and Reby, David (2017) <em>Tennis grunts communicate acoustic cues to sex and contest outcome</em>.<strong> </strong>Animal Behaviour, 130. pp. 47-55 Please see Tennis Grunts 2017 Dataset Information Sheet.pdf for an explanation of these data. Abstract Despite their ubiquity in human behaviour, the communicative functions of nonverbal vocalisations remain poorly understood. Here, we analysed the acoustic structure of tennis grunts, nonverbal vocalisations produced in a competitive context. We predicted that tennis grunts convey information about vocalizer and context, similar to nonhuman vocal displays. Specifically, we tested whether the fundamental frequency (F0) of tennis grunts conveys static cues to a playerâ€™s sex, height, weight, and age, and covaries dynamically with tennis shot type (a proxy of body posture) and the progress and outcome of male and female professional tennis contests. We also performed playback experiments (using natural and resynthesised stimuli) to assess the perceptual relevance of tennis grunts. The F0 of tennis grunts predicted player sex, but not age or body size. Serve grunts had higher F0 than forehand and backhand grunts, grunts produced later in contests had higher F0 than those produced earlier, and grunts produced during contests that players won had a lower F0 than those produced during lost contests. This difference in F0 between losses and wins emerged early in matches, and did not change in magnitude as the match progressed, suggesting a possible role of physiological and/or psychological factors manifesting early or even before matches. Playbacks revealed that listeners use grunt F0 to infer sex and contest outcome. These findings indicate that tennis grunts communicate information about both vocalizer and contest, consistent with nonhuman mammal vocalisations.
DOI: 10.6084/m9.figshare.22586668
title: Supplementary Material for: Integrative post-GWAS analyses relevant to psychiatric disorders: Imputing transcriptome and proteome signals

description: Background The genome-wide association study (GWAS) is a common tool to identify genetic variants associated with complex traits, including psychiatric disorders (PDs). However, post-GWAS analyses are needed to extend the statistical inference to biologically relevant entities, e.g., genes, proteins and pathways. To achieve this goal, researchers developed methods that incorporate biologically relevant intermediate molecular phenotypes, such as gene expression and protein abundance, which are posited to mediate the variant-trait association. Transcriptome-wide association study (TWAS) and proteome-wide association study (PWAS) are commonly used methods to test the association between these molecular mediators and the trait. Summary In this review, we discuss the most recent developments in TWAS and PWAS. These methods integrate existing 'omic' information with the GWAS summary statistics for trait(s) of interest. Specifically, they impute transcript/protein data and test the association between imputed gene expression/protein level with phenotype of interest by using i) GWAS summary statistics and ii) reference transcriptomic/proteomic/genomic data sets. TWAS and PWAS are suitable as analysis tools for i) primary association scan and ii) fine-mapping to identify potentially causal genes for PDs. Key Messages As post-GWAS analyses, TWAS and PWAS have the potential to highlight causal genes in PDs. These prioritized genes could indicate targets for the development of novel drug therapies. For researchers attempting such analyses, we recommend Mendelian randomization (MR) tools that use GWAS statistics for both trait and reference data sets, e.g., SMR. We base our recommendation on i) being able to use the same tool for both TWAS and PWAS, ii) not requiring the pre-computed weights (and thus easier to update for larger reference data sets) and iii) most larger transcriptome reference data sets are publicly available and easy to transform into a compatible format for SMR analysis.
DOI: 10.6084/m9.figshare.22586668.v1
title: Supplementary Material for: Integrative post-GWAS analyses relevant to psychiatric disorders: Imputing transcriptome and proteome signals

description: Background The genome-wide association study (GWAS) is a common tool to identify genetic variants associated with complex traits, including psychiatric disorders (PDs). However, post-GWAS analyses are needed to extend the statistical inference to biologically relevant entities, e.g., genes, proteins and pathways. To achieve this goal, researchers developed methods that incorporate biologically relevant intermediate molecular phenotypes, such as gene expression and protein abundance, which are posited to mediate the variant-trait association. Transcriptome-wide association study (TWAS) and proteome-wide association study (PWAS) are commonly used methods to test the association between these molecular mediators and the trait. Summary In this review, we discuss the most recent developments in TWAS and PWAS. These methods integrate existing 'omic' information with the GWAS summary statistics for trait(s) of interest. Specifically, they impute transcript/protein data and test the association between imputed gene expression/protein level with phenotype of interest by using i) GWAS summary statistics and ii) reference transcriptomic/proteomic/genomic data sets. TWAS and PWAS are suitable as analysis tools for i) primary association scan and ii) fine-mapping to identify potentially causal genes for PDs. Key Messages As post-GWAS analyses, TWAS and PWAS have the potential to highlight causal genes in PDs. These prioritized genes could indicate targets for the development of novel drug therapies. For researchers attempting such analyses, we recommend Mendelian randomization (MR) tools that use GWAS statistics for both trait and reference data sets, e.g., SMR. We base our recommendation on i) being able to use the same tool for both TWAS and PWAS, ii) not requiring the pre-computed weights (and thus easier to update for larger reference data sets) and iii) most larger transcriptome reference data sets are publicly available and easy to transform into a compatible format for SMR analysis.
DOI: 10.5281/zenodo.8238648
title: Endo_TS1_G03_PCM_chlorobenzene_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238647
title: Endo_TS1_G03_PCM_chlorobenzene_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238651
title: Endo_TS1_G03_PCM_chloroform_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238650
title: Endo_TS1_G03_PCM_chloroform_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238655
title: Endo_TS1_G03_PCM_chloroform_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238654
title: Endo_TS1_G03_PCM_chloroform_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.34943/aebfe439-660b-4d87-8a5f-e76f74b1a0a0
title: Cambridge Bay Radiometer Deployed 2023-08-01

description: The WET Labs ECO-PARS (S/N 459) was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Radiometer. Radiometers collect measurements of electromagnetic radiation in the ocean environment. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/173deac1-d46d-4d34-a497-e2b33c3d0486
title: Cambridge Bay Carbon Dioxide Sensor Deployed 2023-08-01

description: The Pro-Oceanus CO2-Pro CV (SN 35-250-75) was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4326c03a-a193-4bb7-b29b-82cee4fce281
title: Cambridge Bay Conductivity Temperature Depth Deployed 2023-08-01

description: The Sea-Bird SeaCAT SBE19plus V2 7769 was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.8238676
title: Endo_TS1_G03_PCM_dichloromethane_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238675
title: Endo_TS1_G03_PCM_dichloromethane_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.34943/3bebe4ce-b472-40be-943c-371ad338d8cf
title: Cambridge Bay Oxygen Sensor Deployed 2023-08-01

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 631500 was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.8238678
title: Endo_TS1_G03_PCM_DCM_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238677
title: Endo_TS1_G03_PCM_DCM_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5517/ccnj7q3
title: CCDC 611435: Experimental Crystal Structure Determination

description: Related Article: Ya-Xian Yuan, Ren-Ao Gu, Jian-Lin Yao|2007|Jiegou Huaxue|26|484|
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.cc26wn3w
title: CCDC 2052358: Experimental Crystal Structure Determination

description: Related Article: Ziman Chen, Yahui Zhang, Qingmei Song, Liang Ma, Yongqin Lv|2022|STAR Protoc.|3|101039|doi:10.1016/j.xpro.2021.101039
description: Related Article: Ziman Chen, Dong Yan, Liang Ma, Yahui Zhang, Jingyan Zhang, Hui Li, Rebecca Khoo, Jian Zhang, Frantisek Svec, Yongqin Lv, Tianwei Tan|2021|iScience|24|102560|doi:10.1016/j.isci.2021.102560
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.cc26y017
title: CCDC 2053658: Experimental Crystal Structure Determination

description: Related Article: Ziman Chen, Yahui Zhang, Qingmei Song, Liang Ma, Yongqin Lv|2022|STAR Protoc.|3|101039|doi:10.1016/j.xpro.2021.101039
description: Related Article: Ziman Chen, Dong Yan, Liang Ma, Yahui Zhang, Jingyan Zhang, Hui Li, Rebecca Khoo, Jian Zhang, Frantisek Svec, Yongqin Lv, Tianwei Tan|2021|iScience|24|102560|doi:10.1016/j.isci.2021.102560
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.8238686
title: Logfiles virtuelle Labore Dissertation

description: Logfiles extracted from virtual lab courses in the context of water analysis for students age 14-18. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.5281/zenodo.8238685
title: Logfiles virtuelle Labore Dissertation

description: Logfiles extracted from virtual lab courses in the context of water analysis for students age 14-18. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.34943/7e3eea9a-2803-4b27-a71b-643999e3cb3f
title: Cambridge Bay Camera Lights Deployed 2023-08-01

description: The Ocean Networks Canada Lights (SN05 SN06) was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Camera Lights. Camera lights are used to improve visibility where cameras are deployed. Light controls and schedules can be remotely-controlled from on-shore using software. The length of time that lights are on is limited in order to minimize impact on the environment. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/6b9fc12d-0e65-450c-80d0-fe5c752aa0b7
title: Cambridge Bay Fluorometer Deployed 2023-08-01

description: The WET Labs ECO FLRT 6106 was deployed on 2023-08-01 at Cambridge Bay. Cambridge Bay is located on Victoria Island in the Kitikmeot Region of Nunavut, Canada. This device is a Fluorometer. Fluorometers measure the amount of stimulated electromagnetic radiation (fluorescence) produced by pulses of electromagnetic radiation emitted into the water column. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.23931723
title: Eficiência de uso de fertilizantes.xlsx

description: Sabe-se que a produção de fertilizantes eficientes é fundamental para uma agricultura mais sustentável, respeitando os recursos finitos disponíveis na natureza e gerando mais lucro ao produtor. Dessa forma, os membros do GEFEN realizaram uma revisão bibliográfica de 37 artigos, em que se avaliava a eficiência de uso dos principais fertilizantes NPK utilizados na agricultura atualmente. O que se pode concluir é que devido aos esforços recente da ciência em todo o mundo para o aumento da eficiência de uso do nitrogênio, a ureia recoberta foi a que mais se destacou (38,2%), já o potássio ficou com uma eficiência média de (28,6%) e fertilizantes de fósforo foram os que apresentaram a menor eficiência de uso (20,9%), já que devido às características químicas, o fosfato apresenta alta afinidade pelos colóides do solo, indisponibilizando à planta, sendo necessário um manejo do perfil do solo para potencializar seu uso.
DOI: 10.5281/zenodo.8238705
title: Datensatz Lernende Dissertation

description: Data of 146 German students ages 14-18 concerning Flow, Motivation, Cognitive Load (3 measurements each) and System Usability while passing through a Blended Learning Concept on water analysis. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.5281/zenodo.8238704
title: Datensatz Lernende Dissertation

description: Data of 146 German students ages 14-18 concerning Flow, Motivation, Cognitive Load (3 measurements each) and System Usability while passing through a Blended Learning Concept on water analysis. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.5281/zenodo.8238709
title: Endo_TS1_G16_PCM_DCM_def2svp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238708
title: Endo_TS1_G16_PCM_DCM_def2svp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238720
title: Endo_TS1_G16_PCM_DCM_def2svpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238719
title: Endo_TS1_G16_PCM_DCM_def2svpp_v_01

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238722
title: Endo_TS1_G16_PCM_DCM_def2svpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238721
title: Endo_TS1_G16_PCM_DCM_def2svpp_v_01_reactant

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8238711
title: Datensatz Lehrende Dissertation

description: Data of &gt;70 German teachers in the context of barriers concerning the implementation of a digital innovation in schools. Data include Stages of Concern, Attitude, perceived value and self-concept. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.5281/zenodo.8238710
title: Datensatz Lehrende Dissertation

description: Data of &gt;70 German teachers in the context of barriers concerning the implementation of a digital innovation in schools. Data include Stages of Concern, Attitude, perceived value and self-concept. Data gathered throughout the courses and studies for a dissertation.
DOI: 10.15468/dl.rbvh9h
title: Occurrence Download

description: A dataset containing 991 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ribes magellanicum Poir."
 ]
}

 The dataset includes 991 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021158-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8405468
title: Event-based surveillance corpus annotated for infectious events and their novelty

description: Corpus of 305 event-based surveillance documents, in English (n=299) and in French (n=6). Epidemiological events related to infectious diseases were annotated in each document. The novelty of the events described in the 110 most recent documents was also annotated.
DOI: 10.5281/zenodo.7080080
title: Event-based surveillance corpus annotated for infectious events and their novelty

description: Corpus of 305 event-based surveillance documents, in English (n=274) and in French (n=36). Epidemiological events related to infectious diseases were annotated in each document. The novelty of the events described in the 110 most recent documents was also annotated.
DOI: 10.5281/zenodo.8414785
title: Event-based surveillance corpus annotated for infectious events and their novelty

description: Corpus of 305 event-based surveillance documents, in English (n=274) and in French (n=36). Epidemiological events related to infectious diseases were annotated in each document. The novelty of the events described in the 110 most recent documents was also annotated.
DOI: 10.57745/ser3xm
title: New_GisCoopOak_Troncais_Headers.tab

description: Headers of the data file
DOI: 10.57745/lggemg
title: GISCoopOak_Troncais_tree_data.tab

description: This file contains the data of individual trees
DOI: 10.57745/tdyd4e
title: GISCoop_Oak_read-me.pdf

description: This file contains trial informations.
DOI: 10.34740/kaggle/ds/3694958
title: SSP Flow Field Reconstruction Code
DOI: 10.5281/zenodo.10402816
title: Neural Texture Puppeteer (NeTePu; Dataset)

description: This data entry contains the NePuMoo dataset from the Neural Texture Puppeteer WACV Workshop "CV4Smalls" 2024 paper.

This data entry contains a public release of the synthetic NePuMoo dataset from the Neural Texture Puppeteer paper. The data contains 12 synthetic cows with different texture. We provide NNOPCS maps, depth maps, RGB images, silhouettes and 3D keypoints. We also provide the camera parameters of the 24 camera views. The data was rendered in Blender by Ole Johannsen.
DOI: 10.5281/zenodo.10402817
title: Neural Texture Puppeteer (NeTePu; Dataset)

description: This data entry contains the NePuMoo dataset from the Neural Texture Puppeteer WACV Workshop "CV4Smalls" 2024 paper.

This data entry contains a public release of the synthetic NePuMoo dataset from the Neural Texture Puppeteer paper. The data contains 12 synthetic cows with different texture. We provide NNOPCS maps, depth maps, RGB images, silhouettes and 3D keypoints. We also provide the camera parameters of the 24 camera views. The data was rendered in Blender by Ole Johannsen.