cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19391054.v2
title: ANSBE-P9-Benthos-4-hard-substrate-Excel file of annotated imagery (2018-2020)

description: Excel file Two sheets: 1) "Annotated Images"; 2) "ReadME_Key"1) geographical coordinates, metadata, and counts of visible benthic species2) Explanation of the header in sheet (1)Images Unique IDs are comparable with the image repository available at: https://doi.org/10.6084/m9.figshare.19391282 <br>https://figshare.com/articles/dataset/ANSBE-P9-Benthos-4-hard-substrate-Calibrated_Image_Stills_2018-2020_/19391282<br><br>Framework: Programme code: ANBE-P9-Benthos-4-hard-substrate. Further details on the monitoring programme: https://odnature.naturalsciences.be/msfd/nl/monitoring/2020/#ANSBE-P9-Benthos-4-hard-substrate Belgische Staat, 2018. Actualisatie van de omschrijving van goede milieutoestand & vaststelling van milieudoelen voor de Belgische mariene wateren. Kaderrichtlijn Mariene Strategie – Art 9 & 10. BMM, Federale Overheidsdienst Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu, Brussel, België, 30 pp.<br> Belgische Staat, 2020. Actualisatie van het monitoringsprogramma voor de Belgische mariene wateren. Kaderrichtlijn Mariene Strategie – Art. 11. BMM, Federale Overheidsdienst Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu, Brussel, België, 65 pp.
DOI: 10.5281/zenodo.6389676
title: First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS

description: This dataset is relative to the paper entitled: "First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS" publishing in journal Diversity (MPDI). Abstract: Zooplankton is a fundamental group in all aquatic ecosystems located the base of the food chain. It forms a link between the lower trophic levels with secondary consumers and shows marked fluctuations of populations with environmental change, especially reacting to heating and water acidification. At sea copepod crustaceans account for app. 70% in abundance of zooplankton and are a target of monitoring activities in key areas such as the Southern Ocean. In this study we have used FAIR-inspired legacy data (dating back to the ‘80s) collected in the Ross Sea by the Italian National Antarctic Program in GBIF.org. Together with other open-access GIS data sources and tools it allows generating, for the first time, three-dimensional predictive distribution maps for twenty-six copepod species. These predictive maps were obtained by applying machine learning techniques to grey literature data, which were visualized in open-source GIS platforms. In a Species Distribution Modeling (SDM) framework we used machine learning with three types of algorithms (TreeNet, RandomForest and Ensemble) to analyze the presence and absence of copepods at different areas and depth classes in function of environmental descriptors obtained from the Polar Macroscope Layers present in Quantartica. The models allow for the first time to map-predict the food chain in quantitative terms showing the relative index of occurrence (RIO) and identified the presence for each copepod species analyzed in the Ross Sea. Our results show marked geographical preferences that vary with species and trophic strategy. This study demonstrates that machine learning is a successful method in accurately predicting Antarctic copepod presence, also providing useful data to orient future sampling and management of wildlife and conservation.
DOI: 10.5281/zenodo.6389675
title: First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS

description: This dataset is relative to the paper entitled: "First Three-dimensional Quantification of Planktic Food Chain lower levels (Copepods) for the Ross Sea region Marine Protected Area (RSRMPA), Antarctica: Using FAIR-inspired legacy data with Machine Learning, and Open Source GIS" publishing in journal Diversity (MPDI). Abstract: Zooplankton is a fundamental group in all aquatic ecosystems located the base of the food chain. It forms a link between the lower trophic levels with secondary consumers and shows marked fluctuations of populations with environmental change, especially reacting to heating and water acidification. At sea copepod crustaceans account for app. 70% in abundance of zooplankton and are a target of monitoring activities in key areas such as the Southern Ocean. In this study we have used FAIR-inspired legacy data (dating back to the ‘80s) collected in the Ross Sea by the Italian National Antarctic Program in GBIF.org. Together with other open-access GIS data sources and tools it allows generating, for the first time, three-dimensional predictive distribution maps for twenty-six copepod species. These predictive maps were obtained by applying machine learning techniques to grey literature data, which were visualized in open-source GIS platforms. In a Species Distribution Modeling (SDM) framework we used machine learning with three types of algorithms (TreeNet, RandomForest and Ensemble) to analyze the presence and absence of copepods at different areas and depth classes in function of environmental descriptors obtained from the Polar Macroscope Layers present in Quantartica. The models allow for the first time to map-predict the food chain in quantitative terms showing the relative index of occurrence (RIO) and identified the presence for each copepod species analyzed in the Ross Sea. Our results show marked geographical preferences that vary with species and trophic strategy. This study demonstrates that machine learning is a successful method in accurately predicting Antarctic copepod presence, also providing useful data to orient future sampling and management of wildlife and conservation.
DOI: 10.5519/qd.578siz3h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (758402 records)
DOI: 10.34740/kaggle/dsv/3376873
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.19401335
title: Viral replication in human macrophages enhances an inflammatory cascade and interferon driven chronic COVID-19 in humanized mice.

description: In the MISTRG6 model of COVID-19, SARS-CoV-2 virus peaks at four days post infection (dpi) and then subsides to levels 1000-fold lower which persist for weeks. Similar to infected humans, viral RNA persists at high levels for several weeks. Chronic interferon has previously been associated with disease severity and impaired recovery in influenza infection. To test whether a viral RNA-dependent type I IFN response was a driver of chronic disease, we treated SARS-CoV-2 infected MISTRG6-hACE2 mice with Remdesivir, anti-IFNAR2 antibody or a combination of the two starting 7dpi, by which time viral titers are already significantly reduced. As Remdesivir inhibits viral RNA dependent RNA polymerase (RdRp) while anti-IFNAR2 targets the IFN-dependent cascade downstream of infection, we hypothesized that targeting these two elements which act sequentially would attenuate the hyperactive immune/inflammatory response and resolve immunopathology. As a control, we also treated mice with dexamethasone, one of the few treatments that significantly reduced hospitalization and mortality in the clinic. We previously showed dexamethasone in our model reversed many aspects of immunopathology in infected MISTRG6-hACE2 mice. Remdesivir and anti-IFNAR2 alone were partially therapeutic and reversed chronic weight loss and many aspects of immune activation. Combined therapy of Remdesivir and anti-IFNAR2 however achieved rapid weight recovery and profound suppression of the immune inflammatory response as effectively as dexamethasone suggesting a synergistic or additive effect of Remdesivir and anti-IFNAR2 in the chronic phase of infection. <br>
DOI: 10.6084/m9.figshare.19401335.v1
title: Viral replication in human macrophages enhances an inflammatory cascade and interferon driven chronic COVID-19 in humanized mice.

description: In the MISTRG6 model of COVID-19, SARS-CoV-2 virus peaks at four days post infection (dpi) and then subsides to levels 1000-fold lower which persist for weeks. Similar to infected humans, viral RNA persists at high levels for several weeks. Chronic interferon has previously been associated with disease severity and impaired recovery in influenza infection. To test whether a viral RNA-dependent type I IFN response was a driver of chronic disease, we treated SARS-CoV-2 infected MISTRG6-hACE2 mice with Remdesivir, anti-IFNAR2 antibody or a combination of the two starting 7dpi, by which time viral titers are already significantly reduced. As Remdesivir inhibits viral RNA dependent RNA polymerase (RdRp) while anti-IFNAR2 targets the IFN-dependent cascade downstream of infection, we hypothesized that targeting these two elements which act sequentially would attenuate the hyperactive immune/inflammatory response and resolve immunopathology. As a control, we also treated mice with dexamethasone, one of the few treatments that significantly reduced hospitalization and mortality in the clinic. We previously showed dexamethasone in our model reversed many aspects of immunopathology in infected MISTRG6-hACE2 mice. Remdesivir and anti-IFNAR2 alone were partially therapeutic and reversed chronic weight loss and many aspects of immune activation. Combined therapy of Remdesivir and anti-IFNAR2 however achieved rapid weight recovery and profound suppression of the immune inflammatory response as effectively as dexamethasone suggesting a synergistic or additive effect of Remdesivir and anti-IFNAR2 in the chronic phase of infection. <br>
DOI: 10.5281/zenodo.6394135
title: Data from: Net plant interactions are highly variable and weakly dependent on climate at the global scale

description: Data were collected from the literature. The dataset is a compilation of published studies. An ISI Web of Science search covering the time period from 1900 onwards was conducted to identify the publications on plant interactions. Each publication was individually reviewed, and the reference list was inspected to identify additional relevant publications. We collected a total 1,220 publications for data compilation. We built a global dataset of 10,502 pairs of plant interaction data.
description: This work was supported by National Natural Science Foundation of China (32071524, 31770514 and 31870711)
DOI: 10.5281/zenodo.6394134
title: Data from: Net plant interactions are highly variable and weakly dependent on climate at the global scale

description: Data were collected from the literature. The dataset is a compilation of published studies. An ISI Web of Science search covering the time period from 1900 onwards was conducted to identify the publications on plant interactions. Each publication was individually reviewed, and the reference list was inspected to identify additional relevant publications. We collected a total 1,220 publications for data compilation. We built a global dataset of 10,502 pairs of plant interaction data.
description: This work was supported by National Natural Science Foundation of China (32071524, 31770514 and 31870711)
DOI: 10.5063/f18w3br1
title: Drought-induced forest dieback increases taxonomic and functional diversity but not phylogenetic diversity of saproxylic beetles at both local and landscape scales

description: This dataset contains data from article "Drought-induced forest dieback increases taxonomic and functional diversity but not phylogenetic diversity of saproxylic beetles at both local and landscape scales" aiming to study the consequence of drought-induced dieback on saproxylic beetle diversity (taxonomic, phylogenetic and functional)
DOI: 10.23728/b2share.83b63c4bf4674e638711ef9bddb93bfb
title: UFTP Datatransfer for HPC

description: Slides describing the UFTP (UNICORE FTP) datatransfer protocol, the associated software components and a number of use cases.
DOI: 10.5281/zenodo.6394053
title: Test Results for NTIRE2022

description: Results
DOI: 10.5281/zenodo.6394052
title: Test Results for NTIRE2022

description: Results
DOI: 10.6084/m9.figshare.11322842
title: Unraveling the genetic diversity of Belgian Milk Sheep using medium density SNP genotypes: SNP genotypes

description: Title: Unraveling the genetic diversity of Belgian Milk Sheep using medium density SNP genotypesJournal: Animal Genetics <br>Article DOI: 10.1111/age.12891<br>
DOI: 10.6084/m9.figshare.11322842.v2
title: Unraveling the genetic diversity of Belgian Milk Sheep using medium density SNP genotypes: SNP genotypes

description: Title: Unraveling the genetic diversity of Belgian Milk Sheep using medium density SNP genotypesJournal: Animal Genetics <br>Article DOI: 10.1111/age.12891<br>
DOI: 10.6084/m9.figshare.19447109
title: Data for Seasonal variability of East Asian monsoon during the Holocene optimum

description: Data for Seasonal variability of East Asian monsoon during the Holocene optimum<br>
DOI: 10.6084/m9.figshare.19447109.v5
title: Data for Seasonal variability of East Asian monsoon during the Holocene optimum

description: Data for Seasonal variability of East Asian monsoon during the Holocene optimum<br>
DOI: 10.6084/m9.figshare.19447109.v4
title: Data for Seasonal variability of East Asian monsoon during the Holocene optimum

description: Data for Seasonal variability of East Asian monsoon during the Holocene optimum<br>
DOI: 10.5281/zenodo.6394047
title: Dataset Compliance study among German blood donors 2020 - Undisclosed sexual risk exposures

description: The dataset contains data of a nationwide anonymous online survey among German (whole) blood donors, which was performed to quantify and to investigate non-compliance of donors with deferral criteria for sexual risk exposures. It covers anonymous sociodemografic information, sexual risk exposures prior to last donation, and perception of donation-related factors that could potentially be related to compliance (e.g. confidentiality, donor education). The file contains data (sheet "data") as well as the description of variable content and coding (sheet "variables").
DOI: 10.5281/zenodo.6394046
title: Dataset Compliance study among German blood donors 2020 - Undisclosed sexual risk exposures

description: The dataset contains data of a nationwide anonymous online survey among German (whole) blood donors, which was performed to quantify and to investigate non-compliance of donors with deferral criteria for sexual risk exposures. It covers anonymous sociodemografic information, sexual risk exposures prior to last donation, and perception of donation-related factors that could potentially be related to compliance (e.g. confidentiality, donor education). The file contains data (sheet "data") as well as the description of variable content and coding (sheet "variables").
DOI: 10.11588/data/h3kpeu/s23vmx
title: compress01_100000.out

description: :unav
DOI: 10.11588/data/h3kpeu/0cizo2
title: Potential01_100000.like_bed

description: :unav
DOI: 10.11588/data/h3kpeu/t3fgfo
title: ICPC-source.tar.gz

description: :unav
DOI: 10.6084/m9.figshare.13600746
title: Event endings in memory and language

description: Memory is fundamental for comprehending and segmenting the flow of activity around us into units called “events”. Here, we investigate the effect of the movement dynamics of actions (ceased, ongoing) and the inner structure of events (with or without object-state change) on people's event memory. Furthermore, we investigate how describing events, and the meaning and form of verb predicates used (denoting a culmination moment, or not, in single verbs or verb-satellite constructions), affects event memory. Before taking a surprise recognition task, Spanish and Mandarin speakers (who lexicalise culmination in different verb predicate forms) watched short videos of events, either in a non-verbal (probe-recognition) or a verbal experiment (event description). Results show that culminated events (i.e. ceased change-of-state events) were remembered best across experiments. Language use showed to enhance memory overall. Further, the form of the verb predicates used for denoting culmination had a moderate effect on memory.
DOI: 10.6084/m9.figshare.13600746.v1
title: Event endings in memory and language

description: Memory is fundamental for comprehending and segmenting the flow of activity around us into units called “events”. Here, we investigate the effect of the movement dynamics of actions (ceased, ongoing) and the inner structure of events (with or without object-state change) on people's event memory. Furthermore, we investigate how describing events, and the meaning and form of verb predicates used (denoting a culmination moment, or not, in single verbs or verb-satellite constructions), affects event memory. Before taking a surprise recognition task, Spanish and Mandarin speakers (who lexicalise culmination in different verb predicate forms) watched short videos of events, either in a non-verbal (probe-recognition) or a verbal experiment (event description). Results show that culminated events (i.e. ceased change-of-state events) were remembered best across experiments. Language use showed to enhance memory overall. Further, the form of the verb predicates used for denoting culmination had a moderate effect on memory.
DOI: 10.6073/pasta/8646342031dd1ee479791245fd4b247f
title: Lake Levels and Ice cover on local lakes at the Kellogg Biological Station, Hickory Corners, MI (1923 to 2022)

description: Dataset AbstractLake levels and ice cover have been measured on local lakes with the help cf citizen volunteers.original data source http://lter.kbs.msu.edu/datasets/122
DOI: 10.6084/m9.figshare.19291439.v1
title: Larimichthys polyactis Genome Sequencing and Assembly

description: The raw data of BioNano sequence results.
DOI: 10.34820/fk2/cytc1e
title: A Comparison of Financing for Small, Medium-Sized (SMEs) and Large Family Firms: A Scientific Literature Review

description: This study purposed to compare financing decisions based on debt and equity in SMEs and large family firms. Moreover, our works consist of the scientific review of 20 references of empirical studies on SMEs and large family firms financing, which were published from 2011 to 2021. The results indicate discrepancies between SMEs and large family firms' financing policies. Small and medium-sized (SMEs) family firms are more likely to use internal financing and look for bank loans rather than external equity. On the other hand, large family firms are more willing to seek debt financing instead of issuing shares on the stock exchange. Finally, we expect the proposed work contributes to the literature on financing SMEs and large family firms.
DOI: 10.6084/m9.figshare.19447760
title: What we see is what we do: A peripheral vision based HMM framework for gaze guided human action recognition

description: The dataset contains gaze data from a medical device handling task, which was used in a HMM based human action recognition (HAR) framework. <br>It contains 43 data sequences from 20 participants, where 2 participants where expert in the observed task (Exp1 and Exp2).<br>The data is given for each step of the HAR framework, as well as with added gaussian noise.<br>
DOI: 10.6084/m9.figshare.19447760.v1
title: What we see is what we do: A peripheral vision based HMM framework for gaze guided human action recognition

description: The dataset contains gaze data from a medical device handling task, which was used in a HMM based human action recognition (HAR) framework. <br>It contains 43 data sequences from 20 participants, where 2 participants where expert in the observed task (Exp1 and Exp2).<br>The data is given for each step of the HAR framework, as well as with added gaussian noise.<br>
DOI: 10.3886/e145101v1-113620
title: Weighted Crosswalks for NAICS and SIC Industry Codes

description: We provide weighted crosswalk files for the purpose of bridging Standard Industrial Classification (SIC) codes and North American Industry Classification System (NAICS) codes. SIC codes were the standard industry classification system for decades, but they eventually couldn’t keep up with the changing industrial structure of the 1990s. NAICS codes took over in 1997 and quickly became the reporting system for most government statistics in the US and elsewhere. This switch poses a problem for researchers since it imposes an artificial break in time series data. Unweighted crosswalk tables can help connect the two systems, but the many splits and merges create mappings that are not one-to-one. For situations that require one-to-one translations, researchers find themselves guessing as to the best match. And for situations where splitting and merging is acceptable, choosing weights sometimes feels arbitrary. The crosswalks included here contain weighting variables that make it possible to smoothly bridge between systems and construct consistent time series in a nonarbitrary way. Three different weighting schemes are included. The first based on employment, the second based on number of establishments, and the third based on total payroll.
DOI: 10.6084/m9.figshare.19448210
title: Twitter responses to mass shooting on college campus

description: Gun violence is a growing problem facing college campuses. Little is understood to date in terms of campus community reactions and response to such instance of mass violence. Despite a rising focus in attention to threat assessment and other campus-based responses to violence since the 2007 Virginia Tech shooting, there exists a tremendous gap in empirical knowledge concerning needs, campus system functions, and other policy-relevant factors affecting responses to mass shooters. This study aims to generate basic science knowledge to inform campus-related policy concerning mass shootings and other violent incidents on college campuses. Using social media data following the 2019 UNCC campus shooting, we specifically seek to answer the following research questions (RQs):<br>1. What themes appear in student and community Twitter reactions in the immediate aftermath of a campus mass shooting?2. How do those themes vary over time?
DOI: 10.5519/qd.dshu898c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3849 records)
DOI: 10.5281/zenodo.6394069
title: single-cell RNA-seq of EHT process

description: This file 'atfr.rds' contains onject including the raw and log-normalizd expression counts, and TF activity matrix generated from metaRegulon. In addition, the file 'cell_weight_pseudotime.rds' contains the pseudotime information.
DOI: 10.5281/zenodo.6394068
title: single-cell RNA-seq of EHT process

description: This file 'atfr.rds' contains onject including the raw and log-normalizd expression counts, and TF activity matrix generated from metaRegulon. In addition, the file 'cell_weight_pseudotime.rds' contains the pseudotime information.
DOI: 10.5519/qd.km8oedy8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.25500/edata.bham.00000811
title: Low-cost sensor data for source apportionment

description: Particle concentrations measurements obtained using an Alphasense OPC-N3
DOI: 10.25345/c5pr7mz1f
title: MassIVE MSV000089145 - MS/MS Carpotroche brasiliensis
title: Immature seeds of C. brasiliensis were collected in Cabruca in the region of Camamu-BA, Brazil. Proteins were extracted from a pool of three biological repeats per treatment, according to the methodology described by Pirovani et al. (2008) with modifications. The peptides were analyzed in a liquid comatography system (Agilent 1290 Infinity II HPLC) coupled to a quadrupole/Time-of-Flight mass spectrometer (Agilent 6545 LC/QTOF).
DOI: 10.5517/ccdc.csd.cc25mfjs
title: CCDC 2014675: Experimental Crystal Structure Determination

description: Related Article: Tingbin Li, Yali Hu|2022|J.Mol.Struct.|1260|132851|doi:10.1016/j.molstruc.2022.132851