cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f19w0cd4
title: Data from: Producer diversity enhances consumer stability in a benthic marine community

description: 1. The diversity of many communities is changing due to local extinctions and invasions. Understanding the consequences of these changes is vital to their successful conservation, yet few studies have experimentally investigated how producer diversity affects the stability of higher trophic levels. Here we show that producer diversity, when manipulated as the only independent variable in the presence of natural top-down forces, increases the stability of consumer abundance, biomass, and diversity in a benthic marine community. 2. Using four macroalgal species (Codium fragile, Gracilaria tikvahiae, Gracilaria vermiculophylla, Gymnogongrus griffithsiae), we manipulated producer diversity (identity and richness) in a substitutive design to create seven treatments. Our treatments included four monocultures, two 3-species mixtures that differed only by including either the native or invasive Gracilaria, and the complete four species mixture. We followed the week-to-week dynamics of producer and consumer communities in each treatment concurrently for 12 weeks and quantified their temporal stability. 3. We found that higher producer diversity increased the stability of a diverse, productive consumer community. Producer biomass production did not affect consumer production or diversity, suggesting that producer diversity was solely responsible for driving the mechanisms underlying the observed multitrophic diversity–stability relationships. Taken together, our results indicate that higher producer diversity directly increased consumer diversity by increasing overyielding and decreasing the temporal variance of this response variable, and that this increased consumer diversity enhanced consumer stability via increased asynchrony among consumers. 4. Synthesis. Our results suggest that the effects of producer diversity propagate upwards to maintain diversity and productivity at higher trophic levels, and thereby enhance the overall stability of food webs.
DOI: 10.5281/zenodo.1246624
title: Training Of Aerobic Fitness (Vo2Max) And Muscle Strength – A Cost/Benefit Analysis

description: A systematic literature search in the Ovid Medline, Web of Science and SportDiscus databases was performed, limited to randomized studies of aerobic fitness and strength training, respectively. Studies with at least three "doses" of frequency, duration or intensity of training were examined in order to find out what effect could be expected from the next highest “dose”.
DOI: 10.5517/ccvmtw4
title: CCDC 793627: Experimental Crystal Structure Determination

description: Related Article: M.Bolte, S.Bieller|2010|CSD Communication|||
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: 10.6084/m9.figshare.1164282
title: Retrieval and display of Gaussian log files from a digital repository

description: A procedure for querying metadata records of the type 10320/loc associated with a DSpace digital repository to retrieve a specified Gaussian Log file and to view the computed molecule in JSmol.
DOI: 10.5281/zenodo.5911808
title: TWristAR - wristband activity recognition

description: TWristAR is a small three subject dataset recorded using an e4 wristband. Each subject performed six scripted activities: upstairs/downstairs, walk/jog, and sit/stand. Each activity except stairs was performed for one minute a total of three times alternating between the pairs. Subjects 1 & 2 also completed a walking sequence of approximately 10 minutes. The dataset contains motion (accelerometer) data, temperature, electrodermal activity, and heart rate data. The .csv file associated with each datafile contains timing and labeling information and was built using the provided Excel files. Each two activity session was recorded using a downward facing action camera. This video was used to generate the labels and is provided to investigate any data anomalies, especially for the free-form long walk. For privacy reasons only the sub1_stairs video contains audio. The Jupyter notebook processes the acceleration data and performs hold-one-subject out evaluation of a 1D-CNN. Example results from a run performed on a google colab GPU instance (w/o GPU the training time increases to about 90 seconds per pass): Hold-one-subject-out results Train Sub Test Sub Accuracy Training Time (HH:MM:SS) [1,2] [3] 0.757 00:00:12 [2,3] [1] 0.849 00:00:14 [1,3] [2] 0.800 00:00:11 This notebook can also be run in colab here. This video describes the processing https://mediaflo.txstate.edu/Watch/e4_data_processing. We hope you find this a useful dataset with end-to-end code. We have several papers in process and would appreciate your citation of the dataset if you use it in your work.
DOI: 10.25592/uhhfdm.12695
title: Exploring rapidly changing sensory-motor mappings in behaviour and MEG

description: *Joint first authors Behavioural, MEG and eye tracking data from an experiment exploring how humans achieve rapid switches between arbitrary stimulus to response mappings. The experimental procedure is described in one of the preregistrations associated with the study (https://osf.io/hnwfr).
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 936 – 178316478 / A7 (to Tobias H. Donner).
DOI: 10.25592/uhhfdm.12696
title: Exploring rapidly changing sensory-motor mappings in behaviour and MEG

description: *Joint first authors Behavioural, MEG and eye tracking data from an experiment exploring how humans achieve rapid switches between arbitrary stimulus to response mappings. The experimental procedure is described in one of the preregistrations associated with the study (https://osf.io/hnwfr).
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 936 – 178316478 / A7 (to Tobias H. Donner).
DOI: 10.34740/kaggle/dsv/6446953
title: Historical Earthquake Chronicles
DOI: 10.6084/m9.figshare.24155409
title: Original MET file

description: This is the met file for subjects 1-100
DOI: 10.17632/c43zkh43yf.1
title: auricular acupressure on postoperative pain intensity

description: This study assess the effect of auricular acupressure on postoperative pain intensity in a randomized controlled trial.
DOI: 10.5281/zenodo.7581137
title: Role of a capping layer on the crystalline structure of Sn thin films grown at cryogenic temperatures on InSb substrates

description: These are the supplementary data supporting the main publication.
DOI: 10.5281/zenodo.7589019
title: Role of a capping layer on the crystalline structure of Sn thin films grown at cryogenic temperatures on InSb substrates

description: These are the supplementary data supporting the main publication.
DOI: 10.5281/zenodo.7650268
title: Role of a capping layer on the crystalline structure of Sn thin films grown at cryogenic temperatures on InSb substrates

description: These are the supplementary data supporting the main publication.
DOI: 10.5281/zenodo.7581136
title: Role of a capping layer on the crystalline structure of Sn thin films grown at cryogenic temperatures on InSb substrates

description: These are the supplementary data supporting the main publication.
DOI: 10.5281/zenodo.8354855
title: Role of a capping layer on the crystalline structure of Sn thin films grown at cryogenic temperatures on InSb substrates

description: These are the supplementary data supporting the main publication.
DOI: 10.5281/zenodo.7307845
title: 2DGCTOF Human Skin Scent Samples Dataset

description: The dataset contains 971 human scent samples obtained by the instrumentation of two-dimensional gas chromatography coupled with a Time-of-Flight mass spectrometer.<br> 45 female (Codes F1-F45) and 40 male (Codes M1-M40) volunteers participated in a sample collection procedure. Each volunteer provided a sample at least ten times. Due to the maintenance of the machine, the dataset is further divided into 3 subgroups: System_1 (415 samples), System_2 (280 samples), and System_3 (276 samples).<br> Each sample was processed in ChromaToF(version 4.72.0.0) by LECO Corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500. In addition, the samples were also processed manually (504 samples, volunteers F1-F20 and M1-M20), in which 70 selected compounds in human scent chromatograms were monitored.<br> Preprocessed samples were exported and stored in text files (.txt) with a tabulator as a separator.<br> In addition, questionnaires were collected for each sample, in which the volunteers answered questions about sex, race, age, hair and eye color, height, weight, health status, menstrual cycle, medications, physical and mental status, etc.
description: The data collection was funded by the Ministry of the Interior of the Czech Republic projects No.VI20172020075, VH20182021030, and VJ01010123.
DOI: 10.5281/zenodo.7307846
title: 2DGCTOF Human Skin Scent Samples Dataset

description: The dataset contains 504 human scent samples obtained by the instrumentation of two-dimension gas chromatography coupled with a Time-of-Flight mass spectrometer.<br> 20 female (Codes F1-F20) and 20 male (Codes M1-M20) volunteers took part in a sample collection procedure. Each volunteer provided a sample at least ten times. Due to the maintenance of the machine, the dataset is further divided into 3 subgroups: System_1 (275 samples), System_2 (136 samples), and System_3 (93 samples).<br> Each sample was processed in ChromaToF(version 4.72.0.0) by LECO corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500. In addition, the samples were also processed manually, in which 70 selected compounds in human scent chromatograms were monitored.<br> Preprocessed samples were exported and stored in text files (.txt) with a tabulator as a separator.<br> In addition, questionnaires were collected for each sample, in which the volunteers answered questions about sex, race, age, hair and eye color, height, weight, health status, menstrual cycle, medications, physical and mental status, etc.
description: The data collection was funded by the Ministry of the Interior of the Czech Republic projects No.VI20172020075, VH20182021030, and VJ01010123.
DOI: 10.5281/zenodo.8354738
title: 2DGCTOF Human Skin Scent Samples Dataset

description: The dataset contains 971 human scent samples obtained by the instrumentation of two-dimensional gas chromatography coupled with a Time-of-Flight mass spectrometer.<br> 45 female (Codes F1-F45) and 40 male (Codes M1-M40) volunteers participated in a sample collection procedure. Each volunteer provided a sample at least ten times. Due to the maintenance of the machine, the dataset is further divided into 3 subgroups: System_1 (415 samples), System_2 (280 samples), and System_3 (276 samples).<br> Each sample was processed in ChromaToF(version 4.72.0.0) by LECO Corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500. In addition, the samples were also processed manually (504 samples, volunteers F1-F20 and M1-M20), in which 70 selected compounds in human scent chromatograms were monitored.<br> Preprocessed samples were exported and stored in text files (.txt) with a tabulator as a separator.<br> In addition, questionnaires were collected for each sample, in which the volunteers answered questions about sex, race, age, hair and eye color, height, weight, health status, menstrual cycle, medications, physical and mental status, etc.
description: The data collection was funded by the Ministry of the Interior of the Czech Republic projects No.VI20172020075, VH20182021030, and VJ01010123.
DOI: 10.6084/m9.figshare.24152163
title: Air pollutant and meteorological data of five major cities in China

description: This dataset contains the air pollutant and meteorological data of five provinces in China, including Nanjing, Beijing, Wuhan, Guangzhou and Chengdu. These provinces are highly polluted by ozone. The dataset has air pollutant and meteorological data of nine monitoring stations in each province. Each monitoring station is labeled by thire ID and the geographical location is also saved in the same directory. Each row contains three kinds of information: 1) timestamp(year, month, day and hour); 2) air pollutant(AQI, PM2.5, PM10, SO2, NO2, O3 and CO); 3)meteorological data(radial wind - u and v, temperature, relative humidity and planetary boundary layer height). These monitoring data is from 2015 to 2021.
DOI: 10.5281/zenodo.8124033
title: Seq2science manuscript supplementary data

description: Supplementary data for the seq2science manuscript. Includes a description on how to install seq2science, and for each re-analysis its configuration, samples file, and QC report.
DOI: 10.5281/zenodo.8124034
title: Seq2science manuscript supplementary data

description: Supplementary data for the seq2science manuscript. Includes a description on how to install seq2science, and for each re-analysis its configuration, samples file, and QC report.
DOI: 10.5281/zenodo.8345208
title: Seq2science manuscript supplementary data

description: Supplementary data for the seq2science manuscript. Includes a description on how to install seq2science, and for each re-analysis its configuration, samples file, and QC report.
DOI: 10.34740/kaggle/dsv/6492573
title: Egypt Gold Prices | Daily Updated
DOI: 10.57967/hf/1123
title: OpenMid-Dataset
DOI: 10.6084/m9.figshare.23912316.v1
title: Data of "Uncovering widespread Anthropocene dietary shifts in Chinese large mammalian herbivores".

description: This is the original data used in the ecological paper titled "Uncovering widespread Anthropocene dietary shifts in Chinese large mammalian herbivores". There are a total of four Excel files:Microwear_specimen.xlsx, which contains the dental microwear indices for each sample and serves as the raw data for Figure S2.factors_species.xlsx, which lists the variables or factors used for regression analysis.Human-dominated landuse.xlsx, which details the expansion of human-dominated land in various provinces of China during the 20th century.Species coordinates.xlsx, that provides the average geographic coordinates of early and late samples for each species, as well as the provinces from which they originate.
DOI: 10.6084/m9.figshare.24155490
title: Conservatism and Misogyny

description: Data for two studies regarding conservatism & misogyny
DOI: 10.6084/m9.figshare.24155490.v1
title: Conservatism and Misogyny

description: Data for two studies regarding conservatism & misogyny
DOI: 10.5281/zenodo.8354417
title: Does It Spin? On the Adoption and Use of QUIC's Spin Bit -- Raw zgrab2 toplist results

description: In the following you can find the raw measurements of our IMC'23 paper "Does It Spin? On the Adoption and Use of QUIC’s Spin Bit" for the publicly available toplists.
DOI: 10.21227/xbvn-1j17
title: Requirements Classification and Prioritisation

description: The requirements, their types and priorities are gathered from 11 project teams which will be uselful to automate the phases of requirement engineering i.e. requirements classification and prioritisation. As the publicly available datasets do not contain the complete information (type and priority) about requirements, the dataset is created by collecting the data from 11 BTech project groups. This dataset includes 11 different types of software requirements. The dependency of requirements is also considered while gathering requirements from the project teams. Dependency of requirements may help to find the priority of the requirement. This dataset will help the researchers to automate the phases of requirements engineering.
DOI: 10.57841/casdc.0002361
title: MDI同分异构体动态降膜熔融结晶分离数据集
DOI: 10.57841/casdc.0002362
title: Ru/g-C3N4催化芳香二胺选择性加氢制备脂环二胺数据集
DOI: 10.5281/zenodo.8354949
title: FT-IR spectra of water in quartz

description: We performed a set of high-pressure and high-temperature deformation experiments in a Griggs-type apparatus on a quartzite, for variable conditions of pressure and strain. We measured the FT-IR spectra of quartz grain interiors and grain boundaries, as a function of deformation conditions.
DOI: 10.5281/zenodo.8354948
title: FT-IR spectra of water in quartz

description: We performed a set of high-pressure and high-temperature deformation experiments in a Griggs-type apparatus on a quartzite, for variable conditions of pressure and strain. We measured the FT-IR spectra of quartz grain interiors and grain boundaries, as a function of deformation conditions.
DOI: 10.57841/casdc.0002363
title: 质子交换膜燃料电池健康状态评估和预测的衰减模型数据
DOI: 10.57841/casdc.0002364
title: 基于发动机主轴轴承异常油膜噪声特征的模拟试验研究
DOI: 10.57841/casdc.0002365
title: 多孔PI/MSNT复合含油润滑薄膜的设计制备及其摩擦学性能研究
DOI: 10.57841/casdc.0002366
title: 合成气制混合醇催化剂规模化制备
DOI: 10.57841/casdc.0002367
title: 质子交换膜水电解阳极钛纤维毡扩散层数据
DOI: 10.57841/casdc.0002368
title: 质子交换膜燃料电池PtCu纳米管阵列电极数据
DOI: 10.5281/zenodo.8354891
title: Dataset for the Paper "Indigenous populations in STEM careers: A systematic Review of programs and studies"

description: <strong>Resouces for the Systematic Literature Review (SLR) carries out as part of PhD thesis about </strong><strong>Indigenous populations in STEM careers.</strong>
DOI: 10.5281/zenodo.8354890
title: Dataset for the Paper "Indigenous populations in STEM careers: A systematic Review of programs and studies"

description: <strong>Resouces for the Systematic Literature Review (SLR) carries out as part of PhD thesis about </strong><strong>Indigenous populations in STEM careers.</strong>
DOI: 10.57841/casdc.0002369
title: 质子交换膜燃料电池亲水改性气体扩散层数据
DOI: 10.57841/casdc.0002370
title: 质子交换膜燃料电池阳极循环时关键操作参数影响数据
DOI: 10.57841/casdc.0002371
title: 质子交换膜燃料电池堆冷启动温度均匀性及效率数据
DOI: 10.57841/casdc.0002372
title: 质子交换膜燃料电池双极板Nb-Cr-C涂层钛数据
DOI: 10.57841/casdc.0002373
title: 酸-碱水电解用聚苯并咪唑-石墨氮化碳复合膜数据
DOI: 10.57841/casdc.0002374
title: 质子交换膜燃料电池堆冷启动策略数据
DOI: 10.57841/casdc.0002375
title: 质子交换膜燃料电池三维流场数据
DOI: 10.57841/casdc.0002376
title: 质子交换膜燃料电池水滴型流场数据
DOI: 10.57841/casdc.0002377
title: 秸秆糖催化转化制二元醇反应性能实验数据集
DOI: 10.6084/m9.figshare.24155559
title: Supplementary Materials_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

description: Supplementary Materials_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
DOI: 10.6084/m9.figshare.24155559.v1
title: Supplementary Materials_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

description: Supplementary Materials_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
DOI: 10.57841/casdc.0002378
title: 坡面道路上地面形貌对人体步进摩擦的影响
DOI: 10.6084/m9.figshare.24155571
title: Data Availability Statement_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

description: Data Availability Statement_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
DOI: 10.6084/m9.figshare.24155571.v1
title: Data Availability Statement_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

description: Data Availability Statement_Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.
DOI: 10.5281/zenodo.8344208
title: Supplementary material for 'Reorganisation of subglacial drainage processes during rapid melting of the Fennoscandian Ice Sheet'

description: Supplementary material for 'Reorganisation of subglacial drainage processes during rapid melting of the Fennoscandian Ice Sheet' This repository two zipped directories: Default_results_repository includes ISSM md (model) files, saved in the .mat MATLAB format for every model submission reported on in the corresponding manuscript. For the default model runs, the result .outbin files are also include for the ISSM ice sheet spinup, the GlaDS steady state run, and the GlaDS transient forcing run. For all other models runs, the included .mat files are executable such that running the included models will reproduce the rest of the results discussed in the paper. Manu_scripts includes the input geophysical data, shapefiles on Murtoo field locations from Ahokangas et al. (2021), glacial landforms shapefile data from Palmu et al. (2021), example input scripts used to produce the results discussed in the manuscript, and functions to plot those results are included. Note, the example scripts (A_ISSM_ice_spinup, B_GlaDS_seady_state, C_GlaDS_transient) will not run without modification to the specific users cluster and storage setup and are instead intended as guides to use for one's own model setup. For our modelling we used the Ice-sheet and Sea-level System Model (Larour et al., 2012) revision 27448 available from: https://issm.jpl.nasa.gov/ (last accessed on 06-09-2023). .
description: This work forms part of the RewarD project (MUST consortium, University of Turku), funded by the Academy of Finland (grant numbers 322243/J.M and 322252/A.O). A.J.H is funded by the European Space Agency Internal Fellowship program, C.F.D is funded by the Canada Research Chair program (950-231237). All simulations were run on the Digital Research Alliance of Canada compute cluster, and we thank the European Union and the Finnish Geological Survey for enabling access to the data used to parameterise our model