cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nbgsfj9zhm
title: Dataset for 'Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters'

description: This dataset contains the raw data supporting all main and supplementary figures used in the manuscript "Mucosal immunization with ChAd-SARS-CoV-2-S prevents sequential transmission of SARS-CoV-2 to unvaccinated hamsters" published in Science Advances. The data contains viral and antibody titers from hamsters not-vaccinated, mucosally vaccinated, or systemically vaccinated and then exposed to SARS-CoV-2 positive hamsters.
DOI: 10.6084/m9.figshare.1020524.v1
title: Image processing using CUDA

description: Slides from a laboration on image processing using CUDA.
DOI: 10.6084/m9.figshare.11189660.v1
title: Supplementary raw data for "Native top-down mass spectrometry reveals a role for interfacial glycans on therapeutic cytokine and hormone assemblies"

description: ZIP archive containing raw mass spectrometry data
DOI: 10.6084/m9.figshare.14211242.v1
title: mBio_Wang_etal_2020_supplement_TableS6

description: <b>Supplemental Table S6. Gene ontology (GO) terms associated with strain-specific expression. </b>The columns of each page include “GOID”, “GO term”, “Cluster frequency” to indicate the number of genes within the GO term among the 2036 identically expressed genes, “background Frequency” to indicate the total number of 6473 annotated genes in the <i>C. albicans </i>genome assigned to that GO term, “Corrected p-value” “False Discovery Rate”, and “Genes annotated to the term” to define the genes that contribute to the “Cluster Frequency” column. Tabs are broken out by “Strain_component/process/function”.
DOI: 10.6084/m9.figshare.25533037.v1
title: Supply Chain Dataset

description: The dataset consists of features such as transaction hash, block number, timestamp, sender address, receiver address, transaction fee, gas limit, product name, product ID, product description, quantity, price, and a binary target feature indicating fraudulent (1) or non-fraudulent (0) transactions.
DOI: 10.6084/m9.figshare.28692260.v1
title: <b>Impacts of convection, chemistry, and forest clearing on biogenic volatile organic compounds over the Amazon</b>

description: In-situ measurements of biogenic volatile organic compounds (BVOCs) were conducted in the tropical troposphere over the Amazon rainforest using a PTR-TOF-MS instrument onboard the High Altitude and Long-range research aircraft (HALO). This study demonstrates the deep convective transport of BVOCs, including isoprene, its oxidation products, and monoterpenes, from the boundary layer to the upper troposphere. A sensitivity study of BVOCs is also performed using the EMAC model to understand the chemistry of the boundary layer and the upper troposphere over the Amazon rainforest.
DOI: 10.17632/hb45pv7n78
title: Data for: modelling a predator-prey interaction

description: MSc students from the Ecological Modelling course from the Faculty of Sciences of the University of Lisbon took part in an experiment that intended to model a typical predator-prey situation. These students played the role of predators, while prey was represented by animal shaped pasta (each measuring approximately 1 cm2) displayed on separate tables of the same size. In total there were 34 predators (each assigned a number), divided into groups of 3 to 5. Two main methods were used: (1) Capture Attempts and (2) Capture time, as a function of different abundances of prey (N=15,30,50,60,70,80,100,140,160). The first method assessed how many attempts (C1, C2, C3) were needed for predators to capture a total of three preys, while blindfolded and using only their fingertips. In the second method, predators moved a single finger along each table until they touched 3 preys, timing each capture cumulatively (T1, T2, T3). Each predator performed both methods on all prey groups, i.e. on all tables. Explanatory variables were defined as follows: prey abundance, the order in which the different tables of prey were preyed upon, predator number, predator size (represented by student's height and hand size) and predator's eye colour. Response variables (capture attempts and capture time) were modeled as a function of the previous explanatory variables. Modelling predation phenomena that occur in nature implies simplifying complex relationships. As such, in this study we focus on three key aspects: (1) ascertaining variables that influence predation success; (2) searching for a possible predator learning process throughout the experiment; (3) assessing if individual heterogeneity affects predation success, and if so how. Firstly, we expect that out of all tested variables only predator eye colour does not have a significant effect on the response variables. Secondly, we predict a decline in capture attempts and capture time according to the order in which the different tables of prey were preyed upon, which may suggest a learning curve during the procedure. Finally, and often ignored in modelling exercises, here we anticipate that individual heterogeneity between predators is an underlying factor.
DOI: 10.6084/m9.figshare.7617677.v1
title: JARVIS-FF-SurfDef

description: In this work, we present an open access database for surface and vacancy-formation energies using classical force-fields (FFs). These quantities are essential in understanding diffusion behavior, nanoparticle formation and catalytic activities. FFs are often designed for a specific application, hence, this database allows the user to understand whether a FF is suitable for investigating particular defect and surface-related material properties. The FF results are compared to density functional theory and experimental data whenever applicable for validation. At present, we have 17 506 surface energies and 1000 vacancy formation energies calculation in our database and the database is still growing. All the data generated, and the computational tools used, are shared publicly at the following websites: www.ctcms.nist.gov/~knc6/periodic.html, https://jarvis-nist-gov.proxy-um.researchport.umd.edu and https://github.com/usnistgov/jarvis. Approximations used during the high-throughput calculations are clearly mentioned. Using some of the example cases, we show how our data can be used to directly compare different FFs for a material and to interpret experimental findings such as using Wulff construction for predicting equilibrium shape of nanoparticles. Similarly, the vacancy formation energies data can be useful in understanding diffusion related properties.
DOI: 10.11583/dtu.25896595.v2
title: Upper Isar River, Germany

description: The Upper Isar River survey is part of the EU Horizon project UAWOS. All datasets belonging to the UAWOS project can be accessed here. The Upper Isar River survey in Munich Germany was conducted in February 2024. The primary purpose was to validate the new UAWOS hydrometry payloads against in-situ ground truth and legacy UAS hydrometry payloads. The dataset contains water surface elevation, bathymetry, land elevation, and water surface velocity datasets collected using different drone-borne and in-situ sensors. Data is shared at three processing levels: The raw data (Level 1), processed point data (Level 2), and point data referenced to a reference river centerline/reference cross section lines (Level 3). Specialized software is required to process most Level 1 data, while Level 2/3 data comes in standard comma-separated ASCII files. More details about the different datasets and processing levels are included in the dataset readme file and the readme files belonging to the individual datasets.
DOI: 10.17632/d842smr4bc
title: Dataset of Vietnamese students' technology acceptance model in distance learning in COVID-19 pandemic

description: Dataset comprises two main parts. The first part is demographic information of respondents. The second part includes two major groups of variable, which is related to the adoption of Vietnamese students on the use of VCTs in distance learning during the COVID-19 pandemic: (1) External factors group, including Output quality (OQ), Computer playfulness (CP), and Subject norms (SN); and (2) TAM constructs group, including Perceived usefulness (PU), Perceived ease of use (PEU), Attitude toward to use (ATT), Behavioral intention to use (BI), and Actual system use (ASU).
DOI: 10.17632/n8827ssnv7
title: A spatio-temporal dataset of forest mensuration for the analysis of tree species structure and diversity in semi-natural mixed floodplain forests

description: We performed replicated, repeated-measures data of height, diameter and vitality at tree level to allow analysis of spatial and temporal structure and diversity in a semi-natural mixed floodplain forest in Italy. Three inventories were performed in 1995, 2005 and 2016 in three ~1 ha plots with varying soil moisture regimes. The use of replicated, repeated-measures data rather than chronosequences allows the examination of true changes in spatial pattern processes through time in this forest type.
DOI: 10.6084/m9.figshare.20012456.v1
title: Multimodal dataset (tfrecord file) and trained weight (h5 file)

description: Multimodal dataset (tfrecord file) and trained weight (h5 file) are used to reproduce multi attention weight.
DOI: 10.6084/m9.figshare.25951675.v1
title: Bow-riding vs free-swimming dolphins - respiration rate.xlsx

description: Bow-riding occurs when dolphins swim in the pressure waves at the front of a vessel. Bow-riding is hypothesized to be “fun” for dolphins or to save them energy although the energetics have not been explored. An UAS (Unoccupied Aerial System) was used to follow and video-record adult dusky dolphins (<i>Lagenorhynchus obscurus</i>) bow-riding in front of a research vessel or free-swimming off Kaikoura, New Zealand. Videos of individual dolphins swimming in a linear direction at consistent speeds were analyzed with respiration rate used as a proxy for energy expenditure (bow riding n = 51; free-swimming n = 62). The respiration rates of bow-riding dolphins remained relatively constant across swimming speeds and were 45% lower than free-swimming dolphins at speeds exceeding 4 m/s, indicating substantial energetic savings. The respiration rates of free-swimming dolphins increased exponentially with speed, suggesting that dolphins incur comparatively high energetic expenditures from swimming rapidly. This research advances understanding of the biological function of bow-riding behavior and supports the energy saving hypothesis. Swimming energetics can be used to assess the impacts of anthropogenic disturbances to dolphin energy budgets.
DOI: 10.17632/zj6k5r6xxg
title: MENTAL HEALTH IN MEDICAL STUDENTS FROM FIVE REGIONS OF COLOMBIA

description: A dataset compiled from medical students in five Colombian regions, encompassing variables related to psychological well-being (happiness, depression, anxiety, stress), lifestyle (alcohol and tobacco use, physical activity, sleep quality), religiosity, and family functioning."
DOI: 10.6084/m9.figshare.11799792.v2
title: S3 Table.xlsx

description: <b>Polynomial regression and log-linear regression between congenital syphilis rate in 2007 to 2017 in priority and non-priority municipalities and according to regions of Brazil</b>
DOI: 10.17632/2xf5v5pwkr
title: SAR despeckling filters dataset

description: The dataset consists of images downloaded from https://search.asf.alaska.edu/#/, without taking georeferencing into account. Specifically, 10 SAR images were taken from Sentinel-1 in Level 1 Detected High-Res Dual-Pol (GRD-HD), polarization VV. With this set of images provided by ASF DATA SEARCH, a rescaling to 8-bit integer images was performed, all of them were registered (aligned) with respect to one reference image, and then a multitemporal fusion was performed by averaging all of them. The averaging process integrates all ten images, pixel by pixel in a single one, resulting in one single image. Finally, one of the 10 downloaded images (noisy) is taken and split into 1600 data with dimensions of 512x512 pixels, and then this data set is separated into 1500 images (training) and 100 (validation). This process is also performed for the image resulting from the fusion of 10 images (noiseless), generating another 1600 images.

The root folder includes the "Main folder" which contains four subfolders, namely:
Noisy: 1500 SAR noisy images for training
Noisy_val: 100 SAR noisy images for validation
GTruth: 1500 noiseless images for training
GTruth_val: 100 noiseless images for validation

The images are in TIFF (Tagged Image File Format) with values from 0 to 255 uint8.
DOI: 10.17632/7j64ch46gz
title: Original western blot images

description: Original western blot images related to Figure S1D and S5B
DOI: 10.6084/m9.figshare.1014331.v1
title: Separation from the dam causes negative judgement bias in dairy calves

description: Daros et al., 2014. Separation from the dam causes negative judgement bias in dairy calves - Dataset
DOI: 10.6084/m9.figshare.1243364.v1
title: FICHA TOXICOLOGICA DE FORMALDEHIDO

description: FICHA DE FORMALDEHIDO
DOI: 10.6084/m9.figshare.861044.v2
title: Neural injury and repair

description: Lecture given as part of "Brain and Behavior" course at Icahn School of Medicine at Mount Sinai
DOI: 10.17632/5n8df8jvk4
title: Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV2 infection. Roussel et al

description: Acute respiratory distress syndrome (ARDS) is the main complication of COVID-19, requiring admission to Intensive Care Unit (ICU). Despite extensive immune profiling of COVID-19 patients, to what extent COVID-19-associated ARDS specifically differs from other causes of ARDS remains unknown. To address this crucial question, we build 3 cohorts of patients categorize in COVID-19negARDSpos, COVID-19posARDSpos, and COVID-19posARDSneg, and compare their immune landscape analyze by high-dimensional mass cytometry on peripheral blood follow by machine-learning based analysis. A cell signature associating S100A9/calprotectin-producing CD169pos monocytes, plasmablasts, and Th1 cells is found in COVID-19posARDSpos, unlike COVID-19negARDSpos patients. Moreover, this signature is essentially share with COVID-19posARDSneg patients, suggesting that severe COVID-19 patients, whatever they experience or not ARDS, display similar immune profiles. We also show an increase in CD14posHLA-DRlow and CD14lowCD16pos monocytes correlate to the occurrence of adverse events during ICU stay. Our study demonstrates that COVID-19-associated ARDS display a specific immune profile, and might benefit from personalize therapy in addition to standard ARDS management. Analyses were performed on a cohort 1 of 63 cryopreserved PBMC samples isolated from 42 patients included in ICU (n = 36) or infectious standard ward (n = 6). All patients but one were classified as severe at admission, requiring oxygen at a flow rate higher than 2 liters/min. ARDS was defined in accordance with international guidelines.34 Patients were classified in 3 groups: COVID-19negARDSpos (n = 12, ARDS stages: 1 mild, 4 moderate, 7 severe), COVID-19posARDSpos (n = 13, ARDS stages: 8 moderate, 5 severe), and COVID-19posARDSneg (n = 17, including 11 from ICU and 6 from infectious standard ward). In the COVID-19posARDSneg, no statistical differences were noticed for immune cell abundance or phenotype between ICU and standard ward patients. Within the COVID-19negARDSpos group, ARDS etiologies were bacterial pneumonia (n = 9), anti-synthetase syndrome (n = 1), and unknown (n = 2). For 21 patients, a second blood sample obtained on day 7 after enrollment was studied (n = 7 for COVID-19negARDSpos, n = 8 for COVID-19posARDSpos, and n = 6 for COVID-19posARDSneg). Additionally, a validation cohort (cohort 2) was set up with 16 patients with demographic data detailed in Table S1 and Table S2. Patients were classified in 3 groups: COVID-19negARDSpos (n = 6), COVID-19posARDSpos (n = 5), and COVID-19posARDSneg (n = 3); additionally, COVID-19negARDSneg (n = 2) samples were included. None of our patients received corticosteroids at the time of the study nor immune-modulators. The presence of SARS-CoV-2 in respiratory specimens (nasal and pharyngeal swabs or sputum) was detected by real-time reverse transcription polymerase chain reaction (RT-PCR) methods.
DOI: 10.6084/m9.figshare.23908221.v1
title: TaS2 125K Scans

description: Scans at 125K
DOI: 10.17632/4287vzd4k7
title: Data for: How to effectively use long-term remotely sensed data to characterize the process of trees and shrubs encroachment for open protected wetlands in the Biebrza National Park.

description: The study area of 245 km2 was divided into 16,158 squares (SQ) in the spatial matrix with a grid cell of 125 x 125 m. Each of the SQ had the tree and shrub mean percentage coverage (MPC) assigned as a result of automatic analysis of the identification of tree and shrub coverage in 2015 year, and starting from 1966 year and ending in 2010 year as a result of manual image interpretation.
DOI: 10.17632/d8hds82d6s
title: Smallest Enclosing Ball

description: Library to find the smallest enclosing ball of points in three algorithms based on QR-decompostion implemented by Martin Kutz , Kaspar Fischer . 1. Shrinking algorithm in shrink() in "Seb-inl.h". Authors: Martin Kutz , Kaspar Fischer 2. Dual algorithm in dual() in "Seb-inl.h". a variant of Cavaleivro and Alizadeh, which checks one facet in line search. Authors: X.Y. Huang 3. Hybrid algoritm in hybrid() in "Seb-inl.h". a dual algorithm that uses a shrinking method to solve subproblems. Authors: X.Y. Huang Additionally, Cavaleivro and Alizadeh's algorithm is available in dual2(), which checks at most two facets in line search. Authors: X.Y. Huang
DOI: 10.17632/shtkfxx4h8
title: MuniciMex-2020: sociodemographic data of municipalities of Mexico from the 2020 census

description: MuniciMex-2020 is produced from open data of the 2020 Population and Housing Census of Mexico (Mexican Institute for Statistics and Geography, INEGI, 2021). The aggregation unit is municipality, so the whole  2,469 municipalities are available in the dataset. In addition to the original 222 attributes in the official census database, percentages are appended. These percentages are computed from diverse counts of inhabitants and houses in the census. For each attribute that is a count of inhabitants or a count of houses regarding any  socio-demographic aspect, a new attibute is created as a percentage. Percentages computed for inhabitants characteristics are calculated from the total municipal count of inhabitants. In turn, percentages computed for houses characteristics are calculated from the total municipal count of houses. For instance, the dataset contains percentage of inhabitants who know to read and write, percentage of houses that have sewage facilities, percentage of houses that have Internet service, etc. This percentages are highly useful to produce a broad series of statistical analyses and machine learning models because they constitute a statistical normalization enabling to perform comparisons among municipalities that have (very) different counts of inhabitants (or houses) among each other.
DOI: 10.17632/zppjt4rggd
title: Can information tell a story? Can story attributes of short travel videos stimulate impulsive travel intention?

description: This dataset is the supplementary data of the study "Can information tell a story? Can story attributes of short travel videos stimulate impulsive travel intention?"
DOI: 10.17632/zy57t3xrmg
title: Second-order Raman spectra in LiNbO3:Tb crystals

description: LiNbO3:Tb (2.24 wt%) crystals are studied by Raman spectroscopy. The data are compared with Raman spectra of congruent lithium niobate crystal. Raman spectra were excited by dark red (λ=785nm) laser radiation and recorded with a BWS465-785H spectrometer. Еhe optical axis Z of lithium niobate single crystals was oriented parallel or perpendicular to the direction of the exciting laser radiation in order to provide proper geometry. The files present Raman spectra of studied crystals in different geometries.
DOI: 10.17632/w293n86sjr
title: Analysis for: How Experience with Tone in the Native Language Affects the L2 Acquisition of Pitch Accents

description: This paper tested the ability of Mandarin learners of German, whose native language has lexical tone, to imitate pitch accent contrasts in German, an intonation language. In intonation languages, pitch accents do not convey lexical information; also, pitch accents are sparser than lexical tones as they only associate with prominent words in the utterance. We compared two kinds of pitch-accent contrasts: (1) a “non-merger” contrast, which Mandarin listeners perceive as different and (2) a “merger” contrast, which sounds more similar to Mandarin listeners. Speakers of a tone language are generally very sensitive to pitch. Hypothesis 1 (H1) therefore stated that learners produce the two kinds of contrasts similarly to native German speakers. However, the documented sensitivity to tonal contrasts, at the expense of processing phrase-level intonational contrasts, may generally hinder target-like production of intonational pitch accents in the L2 (Hypothesis 2, H2). Finally, cross-linguistic influence (CLI) predicts a difference in the realisation of these two contrasts as well as improvement with higher proficiency (Hypothesis 3, H3). We used a delayed imitation paradigm, which is well-suited for assessing L2-phonetics and -phonology because it does not necessitate access to intonational meaning. We investigated the imitation of three kinds of accents, which were associated with the sentence-final noun in short wh-questions (e.g., Wer malt denn Mandalas, lit: ‘Who draws PRT mandalas?’ ‘Who likes drawing mandalas?’). In Experiment 1, 28 native speakers of Mandarin participated (14 low- and 14 high-proficient). The learners’ productions of the two kinds of contrasts were analysed using General Additive Mixed Models to analyse differences in pitch-accent contrasts over time, in comparison to the productions of native German participants from an earlier study (Zahner-Ritter et al., 2022). Results showed a more pronounced realisation of the non-merger contrast compared to German natives and a less distinct realisation of the merger contrast, with beneficial effects of proficiency, lending support to H3. Experiment 2 tested low-proficient Italian learners of German (whose L1 is an intonation language) to contextualise the Mandarin data and further investigate CLI. Italian learners realised the non-merger contrast more target-like than Mandarin learners, lending additional support to CLI (H3). 

The analysis script presents the analysis reported on in the paper:

Zahner-Ritter, K., Zhao, T., Einfeldt, M., & Braun, B. (to appear). How experience with tone in the native language affects the L2 acquisition of pitch accents. Frontiers in Psychology.

The statistical analyses were conducted by Katharina Zahner-Ritter (k.zahner-ritter@uni-trier.de) and Bettina Braun (bettina.braun@uni-konstanz.de). We also include a description of the materials.