cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.24158745
title: Musical rhythmic grouping production in DLD (Kreidler et al., 2023)

description: <b>Purpose:</b> Children with developmental language disorder (DLD) show evidence of domain-general deficits in sequentially patterned motor skills. This study focuses on the production of rhythmically grouped sequences drawn from a music task, with the hypothesis that children with DLD will show a sequential pattern learning deficit that crosses language and action domains.<b>Method:</b> Fifty-seven 4- to 5-year-old children (36 with DLD) drummed and clapped a developmentally appropriate musical rhythmic sequence 24 times (clapped 12 times, drummed 12 times). The accuracy of rhythmic events (markings of claps, drums, and pauses in a target sequence) was assessed through a modification of classic speech and language transcription procedures. The variability and prosodic structure of the rhythmic groupings were also measured.<b>Results:</b> Children with DLD produced less accurate and more variable rhythmic groupings compared to their typically developing (TD) peers. While the final-position grouping of the sequence was especially vulnerable for all children, those with DLD included more co-occurring errors in initial and final groupings of the same rhythmic sequence. Both TD children and children with DLD were less accurate in the clapping than the drumming task. Neither rhythmic drumming nor clapping accuracy correlated with motor skill in either group of children.<b>Conclusions:</b> This study provides novel evidence of a manual rhythmic grouping deficit in DLD, one that is motivated by language—not motor or speech—factors. Cognitive abilities necessary to organize rhythmic events into higher order groupings are impaired across music and language in children with DLD. Rhythmic organization and sequencing may serve an important role in diagnosis and intervention in this population.<b>Supplemental Material S1.</b> Motor and rhythmic accuracy means, standard deviations, and correlations in TD group (<i>n</i> = 21).<b>Supplemental Material S2.</b> Motor and rhythmic accuracy means, standard deviations, and correlations in DLD group (<i>n</i> = 33).<b>Supplemental Material S3.</b> Speech sound and rhythmic accuracy means, standard deviations, and correlations in DLD group (<i>n</i> = 36).Kreidler, K., Vuolo, J., & Goffman, L. (2023). Children with developmental language disorder show deficits in the production of musical rhythmic groupings. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2023_JSLHR-23-00197
DOI: 10.21227/32k1-dr12
title: DoS/DDoS Attack Dataset of 5G Network Slicing

description: 5G Network slicing is one of the key enabling technologies that offer dedicated logical resources to different applications on the same physical network. However, a Denial-of-Service (DoS) or Distributed Denial-of-Service (DDoS) attack can severely damage the performance and functionality of network slices. Furthermore, recent DoS/DDoS attack detection techniques are based on the available data sets which are collected from simulated 5G networks rather than from 5G network slices. In this paper, we first show how DoS/DDoS attacks on network slices can impact slice users' performance metrics such as bandwidth and latency. Then, we present a novel DoS/DDoS attack dataset collected from a simulated 5G network slicing test bed. Finally, we showed a deep-learning-based bidirectional LSTM (Long Short Term Memory) model, namely, SliceSecure can detect DoS/DDoS attacks with an accuracy of 99.99% on the newly created data sets for 5G network slices.
DOI: 10.3886/e158541v1-141791
title: Data and Code for: From Hashtag to Hate Crime: Twitter and Anti-Minority Sentiment

description: We study whether social media can amplify anti-minority sentiments with a focus on Donald Trump's political rise. Using an instrumental variable strategy based on Twitter's early adopters at the South by Southwest festival in 2007, we find that higher Twitter use in a county is associated with a sizeable increase in anti-Muslim hate crimes after the 2016 presidential primaries. Trump's tweets about Muslims predict increases in xenophobic tweets by his followers, cable news mentions of Muslims, and hate crimes on the following days. These results suggest that social media content can affect real-life outcomes.
DOI: 10.5519/qd.se6qkpy0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (36 records)
DOI: 10.5519/qd.oyzh7g9w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.5066/p9kubqkm
title: Inverse Model Data for: Salinity trends in a groundwater system supplemented by 50 years of imported Colorado River water

description: Data provided here describe the contribution of up to 7 different water sources to the major ion geochemistry of U.S. Geological Survey (USGS) and California State Water Resources Control Board Division of Drinking Water (CA-DDW) groundwater samples within the Indio Subbasin of the Coachella Valley, California. The Inverse Geochemical Modeling was performed in the USGS's PHREEQC ver. 3 program and the results are discussed in the associated publication of Harkness and others (2023). Datasets include the major ion chemistry and model input parameters of 1593 samples included in the analysis, the median model results for each sample, and a data dictionary describing the tables. Analyses completed as part of this assessment relied on the previously published data of Harkness (2022) and no new data were collected.
DOI: 10.5281/zenodo.8377684
title: Connectomes, APOE, Age, Sex, and Diet in Mouse Models of Aging

description: Brain networks and covariates for mouse models of aging. Includes APOE22/33/44 with and without HN, age, sex, and diet. Files: - connectomes.rda: a tensor of symmetric adjacency matrices corresponding to brain networks. - mice.rda: a dataframe containing mouse covariates. - mouse_anatomy.csv: a table containing scientific names for each brain region in connectomes.rda.
DOI: 10.5281/zenodo.8377683
title: Connectomes, APOE, Age, Sex, and Diet in Mouse Models of Aging

description: Brain networks and covariates for mouse models of aging. Includes APOE22/33/44 with and without HN, age, sex, and diet. Files: - connectomes.rda: a tensor of symmetric adjacency matrices corresponding to brain networks. - mice.rda: a dataframe containing mouse covariates. - mouse_anatomy.csv: a table containing scientific names for each brain region in connectomes.rda.
DOI: 10.15787/vtt1/kutazd
title: Development of a Roadside LiDAR-Based Situational Awareness System for Work Zone Safety: Proof-of-Concept Study (TTI-05-03)

description: Project Description: The collected LiDAR dataset was utilized to test and validate the developed detection and tracking algorithms through some designed scenarios under a controlled testing environment on the TAMU RELLIS campus. Two datasets were collected with a Velodyne VLP-16 sensor, mounted at 2.2 meters high on a portable tripod in two different sites (Table VIII). The first dataset, named TAMU_01, was collected on a six-lane urban road segment, though the primary region of interests covers one travel direction (three lanes). The second dataset, named TAMU_02, was collected on a four-lane highway segment, with again the primary region of interest covering one travel direction (two lanes). Data Scope: Please see the Safe-D_TTI-05-03_Dataset_Description file below. Data Specification: Please see the Safe-D_TTI-05-03_Dataset_Description file below.
DOI: 10.5281/zenodo.8377643
title: TEM dataset for "Simultaneous entry as an adaptation to virulence in a novel satellite-helper system infecting Streptomyces species"

description: Dataset of thirteen transmission electron micrographs of the Flayer satellite-helper phage system. Images of MindFlayer helper virions with MiniFlayer satellite attachment were taken on a Morgagni M268 Transmission Electron Microscope and used for morphological measurements.
DOI: 10.5281/zenodo.8377642
title: TEM dataset for "Simultaneous entry as an adaptation to virulence in a novel satellite-helper system infecting Streptomyces species"

description: Dataset of thirteen transmission electron micrographs of the Flayer satellite-helper phage system. Images of MindFlayer helper virions with MiniFlayer satellite attachment were taken on a Morgagni M268 Transmission Electron Microscope and used for morphological measurements.
DOI: 10.5281/zenodo.8377702
title: Raw data for Camacho-Toledano et al._rGO_MDSCs_MS

description: Raw data from the study of the effect of rGO on MDSC biology in the context of multiple sclerosis
DOI: 10.5281/zenodo.8377701
title: Raw data for Camacho-Toledano et al._rGO_MDSCs_MS

description: Raw data from the study of the effect of rGO on MDSC biology in the context of multiple sclerosis
DOI: 10.6073/pasta/64711e5f73ca1234bf8841d8630fe2f4
title: PAB04 Aboveground primary productivity of tallgrass prairie based on accumulated plant biomass on miscellaneous LTER watersheds

description: Data set contains estimates of end-of-season standing crop biomass (grams per square meter) of live graminoids, forbs, woody plants, current year's dead, and previous year's dead vegetation for 2 soil types (shallow and deep) on watersheds of various burning-grazing treatments. Twenty quadrats (0.1 square meters) are harvested for each soil/treatment type. NOTE: Early (April) and mid-season (July) biomass was collected from 1983-1988, and these data are vailable by request.
DOI: 10.6084/m9.figshare.24194448
title: filtered_CL1_PDGFA_2.AAGAGGCA.sam.bam.sort.bam.MarkedDup.bam.tagdir.ucsc.bigWig

description: filtered_CL1_PDGFA_2.AAGAGGCA.sam.bam.sort.bam.MarkedDup.bam.tagdir.ucsc.bigWig
DOI: 10.6084/m9.figshare.24194448.v1
title: filtered_CL1_PDGFA_2.AAGAGGCA.sam.bam.sort.bam.MarkedDup.bam.tagdir.ucsc.bigWig

description: filtered_CL1_PDGFA_2.AAGAGGCA.sam.bam.sort.bam.MarkedDup.bam.tagdir.ucsc.bigWig
DOI: 10.5517/ccdc.csd.cc2fm44c
title: CCDC 2252712: Experimental Crystal Structure Determination

description: Related Article: Emily R. Sherman, William R. Cassels, Jeffrey S. Johnson|2023|Org.Lett.|25|6779|doi:10.1021/acs.orglett.3c02799
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.cc2fn87m
title: CCDC 2253800: Experimental Crystal Structure Determination

description: Related Article: Fanda Feng, Bo Yang, Suqiong Yan, Hui Ma, Tao Tao, Wei Huang|2023|Dyes Pigm.|219|111567|doi:10.1016/j.dyepig.2023.111567
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.cc2fn88n
title: CCDC 2253801: Experimental Crystal Structure Determination

description: Related Article: Fanda Feng, Bo Yang, Suqiong Yan, Hui Ma, Tao Tao, Wei Huang|2023|Dyes Pigm.|219|111567|doi:10.1016/j.dyepig.2023.111567
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: 10.18434/mds2-3047
title: Data for figures in the AMTA 2023 conference paper titled "NIST Antenna Gain and Polarization Calibration Service Reinstatement"
DOI: 10.6084/m9.figshare.24194859
title: Practice Search Set Tracker.xlsx

description: Ignore. Testing.
DOI: 10.6084/m9.figshare.24194859.v1
title: Practice Search Set Tracker.xlsx

description: Ignore. Testing.
DOI: 10.5281/zenodo.8377764
title: CHIP calls for BioVU cohort – resolving vs. non-resolving AKI analysis

description: Data for analysis examining clonal hematopoiesis of indeterminate potential (CHIP) and AKI recovery patterns in cohort of individuals from the BioVU biorepository
DOI: 10.5281/zenodo.8377763
title: CHIP calls for BioVU cohort – resolving vs. non-resolving AKI analysis

description: Data for analysis examining clonal hematopoiesis of indeterminate potential (CHIP) and AKI recovery patterns in cohort of individuals from the BioVU biorepository
DOI: 10.5281/zenodo.8377749
title: Interne Evaluation in der Villa Gumpiland

description: Umfrage bei Teilnehmerinnen durchgeführt im September 2023. Fragebogen wurden in der Villa Gumpiland verteilt. Es wurden zwei Fragebogen verteilt ("Familienmorgen" und "Nähworkshop") an diejenigen Frauen, die jeweils am entsprechenden Programm teilgenommen haben (auch Doppel-Teilnahmen möglich).
DOI: 10.5281/zenodo.8377748
title: Interne Evaluation in der Villa Gumpiland

description: Umfrage bei Teilnehmerinnen durchgeführt im September 2023. Fragebogen wurden in der Villa Gumpiland verteilt. Es wurden zwei Fragebogen verteilt ("Familienmorgen" und "Nähworkshop") an diejenigen Frauen, die jeweils am entsprechenden Programm teilgenommen haben (auch Doppel-Teilnahmen möglich).
DOI: 10.6084/m9.figshare.24100413.v1
title: How is social-ecological transformation and equityality theories acquainted?<b> </b>Scopus search and coding exercise

description: This dataset contains the coding exercise of the critical review conducted by Sánchez-García et al. (s.f.). The study aims to identify how social-ecological transformation research addresses tridimensional equity also considering the role that intersubjective factors such as gender, ethnicity, class, and age play in equitable outcomes. The PDF file has the list of all evaluated references, while the Excel file contains the reading protocol, codes, and coding exercise used to evaluate social-ecological literature.
DOI: 10.25545/eeyiew/7ysd33
title: EurekMWR_09Jan16-30.dat

description: :unav
DOI: 10.25545/eeyiew/nqztnu
title: Eureka80N-MWR-Winds-2008Dec.asc

description: :unav
DOI: 10.25545/eeyiew/nvvkk5
title: EurekaMWR_17Dec-18Feb.txt

description: :unav
DOI: 10.25545/eeyiew/syegoy
title: EurekMWR_09Jan16-30_1KmRes.asc

description: :unav
DOI: 10.5519/qd.s0ojes4r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (663 records)
DOI: 10.34740/kaggle/dsv/6540401
title: Balochi Language to English Translation Dataset
DOI: 10.7294/24042825.v1
title: Valine and non-essential amino acids affect bi-directional transport rates of leucine and isoleucine in bovine mammary epithelial cells

description: Valine and non-essential amino acids affect bi-directional transport rates of leucine and isoleucine in bovine mammary epithelial cells”. This study assessed transport rates of 7 AA to evaluate the effects of high and low concentrations of Val and Ala, Gln, and Gly provided as a group in primary bovine mammary epithelial cells. Treatment effects on Leu and Ile were attributed to increased intracellular concentrations of non-essential AA used as exchange currency combined with the reduced shared transporter competition from Val. These results demonstrate that the efficiency of branched-chain amino acid uptake by mammary cells is affected by competition among the branched-chain AA and the synergistic effects of non-essential AA.
DOI: 10.6084/m9.figshare.24194895
title: Book "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches" / Chapter 1

description: Supplementary Data for the book entitled "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches". The book is edited by Thiago Verano-Braga
DOI: 10.6084/m9.figshare.24194895.v1
title: Book "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches" / Chapter 1

description: Supplementary Data for the book entitled "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches". The book is edited by Thiago Verano-Braga
DOI: 10.25345/c52b8vp0x
title: MassIVE MSV000092956 - Blast wave effect on brain proteome (rat hippocampus)
title: These data show differences in up- and down-regulation for protein abundances in the hippocampus of double blast vs. sham rats. Tandem mass tags (TMT)-MS results showed 136 up-regulated and 94 down-regulated proteins between the two groups. These TMT-MS findings revealed changes never described before in blast studies. In the absence of behavioral changes, these proteomic data further support the existence of an asymptomatic blast-induced molecular altered status (ABIMAS) associated with specific protein changes in the rat hippocampus.
DOI: 10.5281/zenodo.8377797
title: Makerspaces and people

description: These files contain data for makerspaces, the machines and tools in them, and makers related to the work of the Internet of Production Alliance
DOI: 10.5281/zenodo.8377796
title: Makerspaces and people

description: These files contain data for makerspaces, the machines and tools in them, and makers related to the work of the Internet of Production Alliance
DOI: 10.6084/m9.figshare.24049926
title: Spore Dataset

description: This is the image dataset for the article “A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images" by Saqib Qamar, Rasmus Öberg, Dmitry Malyshev and Magnus Andersson
DOI: 10.6084/m9.figshare.24049926.v1
title: Spore Dataset

description: This dataset is a collection of spore TEM (transmission electron microscopy) images. Spores are complex structures made up of several layers, including the core, cortex, coat, interspace, and exosporium. We develop an automated algorithm for segmenting and classifying layers in spore TEM images. In this dataset, we collected 384 training images and their corresponding labels. To validate the trained model, 50 test images were collected that are distinct from the training data set.
DOI: 10.5281/zenodo.7864518
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7883730
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7883921
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7898774
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7900310
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7937666
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.8006484
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.8046393
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.7864517
title: TSlam-dataset

description: The current repository contains the evaluation dataset for TSlam (@IBOIS, EPFL 2023). TSlam is a SLAM algorithm developed at IBOIS (Laboratory for Timber Construction) for fabrication scenarios involving cutting and drilling operations.<br> The algorithm's accuracy and precision have been gauged using the current dataset and an optitrack system to collect ground-truth data. The dataset is shared in open-access with the goal of promoting the reproducibility of our results and the pipeline for the evaluation can be found in https://github.com/ibois-epfl/TSlam/tree/main/eval . The structure of the dataset is as follow: ```<br> ├───01_camera_recordings<br> │ ├───01_fabrication-20230421-170830<br> │ ├───01_manual_mark_20230419-110238<br> │ ├───01_mapping_recording-20230421-133017<br> │ └───01_tag_mark_20230419-155416<br> ├───01_label_sequence<br> ├───01_opti_recordings<br> │ └───__raw<br> ├───01_pcd<br> │ ├───01_aligned_pcd<br> │ └───__raw<br> └───01_tslam_map_files<br> ``` Where, - `01_camera_recordings`: contains the video from the fabrication, marking, tags sticking and mapping;<br> - `01_label_sequence`: human-noted labels of the start and end frame of all operations in a given fabrication video;<br> - `01_opti_recordings`: the data obtained from the optitrack recordings during fabrication<br> - `01_pcd`: the scans and processed point clouds of the piece before the fabrication<br> - `01_tslam_map_files`: the files produced by TSlam
description: The experimental set-up has been possible thanks to the help of techniciens and the infrastructure provided by GIS Research Group (EPFL). The Optitrack System has been acquired thanks to the grant "ENAC Equipement Call" of 2021.
DOI: 10.5281/zenodo.8056676
title: TSlam-dataset

description: The evaluation dataset for TSlam.
description: FIRST upload. The dataset will be built progressively.
DOI: 10.5281/zenodo.8269641
title: TSlam-dataset

description: The current repository contains the evaluation dataset for TSlam (@IBOIS, EPFL 2023). TSlam is a SLAM algorithm developed at IBOIS (Laboratory for Timber Construction) for fabrication scenarios involving cutting and drilling operations.<br> The algorithm's accuracy and precision have been gauged using the current dataset and an optitrack system to collect ground-truth data. The dataset is shared in open-access with the goal of promoting the reproducibility of our results and the pipeline for the evaluation can be found in https://github.com/ibois-epfl/TSlam/tree/main/eval . The structure of the dataset is as follow: ```<br> ├───01_camera_recordings<br> │ ├───01_fabrication-20230421-170830<br> │ ├───01_manual_mark_20230419-110238<br> │ ├───01_mapping_recording-20230421-133017<br> │ └───01_tag_mark_20230419-155416<br> ├───01_label_sequence<br> ├───01_opti_recordings<br> │ └───__raw<br> ├───01_pcd<br> │ ├───01_aligned_pcd<br> │ └───__raw<br> └───01_tslam_map_files<br> ``` Where, - `01_camera_recordings`: contains the video from the fabrication, marking, tags sticking and mapping;<br> - `01_label_sequence`: human-noted labels of the start and end frame of all operations in a given fabrication video;<br> - `01_opti_recordings`: the data obtained from the optitrack recordings during fabrication<br> - `01_pcd`: the scans and processed point clouds of the piece before the fabrication<br> - `01_tslam_map_files`: the files produced by TSlam
description: The experimental set-up has been possible thanks to the help of techniciens and the infrastructure provided by GIS Research Group (EPFL). The Optitrack System has been acquired thanks to the grant "ENAC Equipement Call" of 2021.