cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4322962
title: Annexes A and B to EFSA Scientific report "Chronic dietary exposure to inorganic arsenic"

description: <strong>Annex A-</strong> Contains the raw occurrence dataset on arsenic as extracted from the EFSA DWH on 30 April 2020 (no data cleaning applied), with the food samples presented in the scientific report as described in its section 2.1. Occurrence data. The data are provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. deleted record or updated values in specific fields). The link to the catalogues of controlled terminologies can be found under "Related identifiers”. <strong>Annex B-</strong> Contains summary statistics on occurrence data, consumption data, and dietary exposure assessment results. Table B1. Dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the chronic dietary exposure assessment to inorganic arsenic. Table B2. Analytical data on iAs after data cleaning and analysis steps (13,608 analytical results).<br> Table B3. Occurrence values of inorganic arsenic in food (µg/kg) as used for the exposure assessment.<br> Table B4. Occurrence values of total arsenic in food (µg/kg).<br> Table B5. Summary of the chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day).<br> Table B6. Detailed chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day) by European dietary surveys and age classes. Table B7. Main contributing food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes. Table B8. Detailed mean contribution of food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes.
description: EU; csv; data.admin@efsa.europa.eu
DOI: 10.5517/ccdc.csd.cc25dh03
title: CCDC 2007994: Experimental Crystal Structure Determination

description: Related Article: Nicolas Kratena, Tobias Gökler, Lara Maltrovsky, Eva Oburger, Christian Stanetty|2020|Chem.-Eur.J.|27|577|doi:10.1002/chem.202004004
DOI: 10.6084/m9.figshare.13363580
title: plastid phylogenetic analysis of mosses

description: concatenated dataset of plastid 82 protein-coding-gene dataset of 28 moss species
DOI: 10.6084/m9.figshare.13363580.v3
title: plastid phylogenetic analysis of mosses

description: concatenated dataset of plastid 82 protein-coding-gene dataset of 28 moss species
DOI: 10.6084/m9.figshare.13363580.v2
title: plastid phylogenetic analysis of mosses

description: concatenated dataset of plastid 82 protein-coding-gene dataset of 29 moss species
DOI: 10.21227/bzb7-5817
title: WIDAR3.0: WiFi-based Activity Recognition Dataset

description: To stimulate the development of wireless sensing, we produce this wifi-based activity recognition dataset to the community. This dataset includes the Channel State Information (CSI) collected from commodity Wi-Fi devices for gestures and Body-coordinate Velocity Profile (BVP) calculated by the algorithms descried in the Widar3.0 paper. The hand gesture dataset consists of 258K instances of data samples with a duration of 8,620 minutes and from 75 domains. Also included in this repository is the gait recognition dataset related to the GaitID paper. The gait recognition dataset consists of 22K instances of data samples from 11 participates. Please stay tuned for further updates. References:Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019.Yi Zhang, Yue Zheng, Guidong Zhang, Kun Qian, Chen Qian, Zheng Yang "GaitID: Robust Wi-Fi Based Gait Recognition", Springer WASA, 2020.
DOI: 10.5281/zenodo.4435940
title: Browsing of oak and fir saplings in Baden-Württemberg (Southern Germany) 2017/2018

description: The tables contain information about the number of browsed and unbrowsed fir and oak saplings (&lt;=130cm) for 98 locations in southern Germany (2017/2018). The columns read as: 1)the year were the field survey was conducted (Year), 2) the location (xcoord, yccord - WGS 84, EPSG: 4326), 3) an ID of the sampling unit (ID), 4) the number of browsed trees - height &lt;=20 cm, 21-50 cm, 51-80 cm, 81-130 cm (X_B_HC1,..., X_B_HC4), 5) the number of unbrowsed trees - height &lt;=20 cm, 21-50 cm, 51-80 cm, 81-130 cm (X_UB_HC1,..., X_UB_HC4) with "X" being O for oak (Quercus petraea, (Mattuschka) Liebl. and Quercus robur (L.)) or F for fir (Abies alba (Mill.)).<br> <br> Example: "O_B_HC2" - contains the number of browsed oak saplings being taller than 20 cm but smaller than or equal to 50 cm. "NA" means the absence of tree saplings for a specific tree species. Data of the tables was used/published in the following article/manuscript: Hagen, Robert; Kühl, Norbert; Hanewinkel, Marc; Suchant, Rudi; Number and height of unbrowsed saplings are more appropriate than the proportion of browsed saplings for predicting silvicultural regeneration success
DOI: 10.5281/zenodo.4435939
title: Browsing of oak and fir saplings in Baden-Württemberg (Southern Germany) 2017/2018

description: The tables contain information about the number of browsed and unbrowsed fir and oak saplings (&lt;=130cm) for 98 locations in southern Germany (2017/2018). The columns read as: 1)the year were the field survey was conducted (Year), 2) the location (xcoord, yccord - WGS 84, EPSG: 4326), 3) an ID of the sampling unit (ID), 4) the number of browsed trees - height &lt;=20 cm, 21-50 cm, 51-80 cm, 81-130 cm (X_B_HC1,..., X_B_HC4), 5) the number of unbrowsed trees - height &lt;=20 cm, 21-50 cm, 51-80 cm, 81-130 cm (X_UB_HC1,..., X_UB_HC4) with "X" being O for oak (Quercus petraea, (Mattuschka) Liebl. and Quercus robur (L.)) or F for fir (Abies alba (Mill.)).<br> <br> Example: "O_B_HC2" - contains the number of browsed oak saplings being taller than 20 cm but smaller than or equal to 50 cm. "NA" means the absence of tree saplings for a specific tree species. Data of the tables was used/published in the following article/manuscript: Hagen, Robert; Kühl, Norbert; Hanewinkel, Marc; Suchant, Rudi; Number and height of unbrowsed saplings are more appropriate than the proportion of browsed saplings for predicting silvicultural regeneration success
DOI: 10.21227/s5wv-6h64
title: WIDAR3.0: WiFi-based Activity Recognition Dataset

description: To stimulate the development of wireless sensing, we produce this wifi-based activity recognition dataset to the community. This dataset includes the Channel State Information (CSI) collected from commodity Wi-Fi devices for gestures and Body-coordinate Velocity Profile (BVP) calculated by the algorithms descried in the Widar3.0 paper. The hand gesture dataset consists of 258K instances of data samples with a duration of 8,620 minutes and from 75 domains. Also included in this repository is the gait recognition dataset related to the GaitID paper. The gait recognition dataset consists of 22K instances of data samples from 11 participates. Please stay tuned for further updates.References:Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang, "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019. DOI:https://doi.org/10.1145/3307334.3326081Yi Zhang, Yue Zheng, Guidong Zhang, Kun Qian, Chen Qian, Zheng Yang, "GaitID: Robust Wi-Fi Based Gait Recognition", Springer WASA, 2020. DOI:https://doi.org/10.1007/978-3-030-59016-1_60
DOI: 10.5283/epub.43976
title: Dataset for "Examining the Trainability and Transferability of Working-Memory Gating Policies"

description: Internal working memory (WM) gating control policies have been suggested to constitute a critical component of task-sets that can be learned and transferred to very similar task contexts (Bhandari & Badre, 2018). Here we attempt to expand these findings, examining whether such control policies can be also trained and transferred to other untrained cognitive control tasks, namely to task switching and AX-CPT. To this end, a context-processing WM task was used for training, allowing to manipulate either input (i.e., top-down selective entry of information into WM) - or output (i.e., bottom-up selective retrieval of WM) gating control policies by employing either a context-first (CF) or context-last (CL) task structure, respectively. In this task two contextual cues were each associated with two different stimuli. In CF condition, each trial began with a contextual cue, determining which of two subsequent stimuli is target relevant. In contrast, in the CL condition the contextual cue appeared last, preceded by a target and non-target stimulus successively. Participants completed a task switching baseline assessment, followed by one practice and six training blocks with the WM context-processing training task. After completing training, task-switching and AX-CPT transfer blocks were administrated, respectively. As hypothesized, compared to CL training condition, CF training led to improved task-switching performance. However, contrary to our predictions, training type did not influence AX-CPT performance. Taken together, the current results provide further evidence that internal control policies are (a) inherent element of task-sets, also in task switching and (b) independent of S-R mappings. However, these results need to be cautiously interpreted due to baseline differences in task-switching performance between the conditions (overall slower RTs in the CF condition). Importantly though, our results open a new venue for the realm of cognitive enhancement, pointing here for the first time to the potential of control policies training in promoting wider transfer effects.
DOI: 10.5281/zenodo.4436041
title: L. paragasseri genomes

description: This dataset contains genomic data of Lactobacillus paragasseri.
DOI: 10.5281/zenodo.4436040
title: L. paragasseri genomes

description: This dataset contains genomic data of Lactobacillus paragasseri.
DOI: 10.6084/m9.figshare.12130980.v68
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.13567310
title: Supplementary Material for: Long-Term Effectiveness and Safety of Childhood Growth Hormone Treatment in Noonan Syndrome

description: <b><i>Introduction:</i></b> Few data exist on long-term growth hormone (GH) treatment in patients with Noonan syndrome (NS). <b><i>Objective:</i></b> To evaluate the effectiveness and safety of GH treatment in NS in clinical practice. <b><i>Methods:</i></b> Height gain, near-adult height (NAH), and safety were assessed in 2 complementary non-interventional studies: NordiNet® IOS and ANSWER. The safety analysis included 412 patients, and the effectiveness analysis included 84 GH-treated patients (male, <i>n</i> = 67) with ≥4 years’ height standard deviation score (HSDS) data. HSDS was determined using national reference (NR) and NS-specific (NSS) data. <b><i>Results:</i></b> The mean (SD) baseline age was 8.38 (3.57) years; HSDS, −2.76 (1.03); GH dose, 41.6 (11.1) µg/kg/day. The mean (SD) HSDS increase from baseline (ΔHSDS) was 0.49 (0.37) (first year), 0.79 (0.58) (second year), and 1.01 (0.60) (third year) (NR). The mean (SD) HSDS at year 3 was −1.66 (1.00) (NR; 1.06 [1.12] [NSS]). Twenty-four patients achieved NAH. The mean (SD) NAH SDS (NR) was −1.51 (0.60) (154.90 [3.21] cm) in females and −1.79 (1.09) (165.61 [7.19] cm) in males; 70.8% (17/24) had NAH SDS ≥ −2. Adverse drug reactions and GH-unrelated serious adverse events (<i>n</i> = 34) were reported in 22/412 (5.3%) patients. Four neoplasms and 3 cases of scoliosis were reported; no cardiovascular adverse events occurred. <b><i>Conclusions:</i></b> GH-treated children with NS achieved substantial height gain during the first 3 years of follow-up. Overall, 24 patients achieved NAH, with 70.8% having NAH SDS ≥ –2. There was no evidence to support a higher prevalence of neoplasm, or cardiac or other comorbidities.
DOI: 10.5281/zenodo.4434272
title: Novel multiplex TaqMan assay for differentiation of the four major pathogenic Brachyspira species in swine

description: Table S1 503 Brachyspira samples used for validation of the novel 5-plex qPCR assay and comparison of results obtained by four independent PCR assays
DOI: 10.5281/zenodo.4434271
title: Novel multiplex TaqMan assay for differentiation of the four major pathogenic Brachyspira species in swine

description: Table S1 503 Brachyspira samples used for validation of the novel 5-plex qPCR assay and comparison of results obtained by four independent PCR assays
DOI: 10.5281/zenodo.4310961
title: Data for "Nanosecond Protein Dynamics in a Red/Green Cyanobacteriochrome Revealed by Transient IR Spectroscopy "

description: Raw data behind manuscript figures.
DOI: 10.5281/zenodo.3713449
title: Post-stroke upper limb kinematics of a set of daily living tasks

description: This dataset contains upper limb kinematics of twenty chronic stroke-subjects and five healthy control subjects that were collected within a cross-sectional, observational study (Clinicaltrials.gov Identifier: NCT03135093). Participants were measured when performing a set of 30 daily living activities, including gesture movements, grasping actions and tool-mediated upper limb activities. Kinematic parameters were captured by use of inertial sensing and stored in software specific XML file format (.mvnx) allowing import to programs such as MATLAB and Microsoft Excel. Each mvnx-file represents one trial execution and is named according to the participant ID, task number, tested upper limb and repetition. This data collection is part of a large multimodal dataset collected and shared between collaborators of a European project under grant agreement No.688857.
DOI: 10.5281/zenodo.4310960
title: Data for "Nanosecond Protein Dynamics in a Red/Green Cyanobacteriochrome Revealed by Transient IR Spectroscopy "

description: Raw data behind manuscript figures.
DOI: 10.5281/zenodo.3713448
title: Post-stroke upper limb kinematics of a set of daily living tasks

description: This dataset contains upper limb kinematics of twenty chronic stroke-subjects and five healthy control subjects that were collected within a cross-sectional, observational study (Clinicaltrials.gov Identifier: NCT03135093). Participants were measured when performing a set of 30 daily living activities, including gesture movements, grasping actions and tool-mediated upper limb activities. Kinematic parameters were captured by use of inertial sensing and stored in software specific XML file format (.mvnx) allowing import to programs such as MATLAB and Microsoft Excel. Each mvnx-file represents one trial execution and is named according to the participant ID, task number, tested upper limb and repetition. This data collection is part of a large multimodal dataset collected and shared between collaborators of a European project under grant agreement No.688857.
DOI: 10.6084/m9.figshare.13515308
title: Viability confirmation for male candidate genes

description: For each candidate gene mouse knock-out, observed viability and survival of wildtype, heterozygotes and homozygous mutant mice were confirmed from literature or via correspondence with authors.
DOI: 10.6084/m9.figshare.13515308.v2
title: Viability confirmation for male candidate genes

description: For each candidate gene mouse knock-out, observed viability and survival of wildtype, heterozygotes and homozygous mutant mice were confirmed from literature or via correspondence with authors.
DOI: 10.6084/m9.figshare.13515308.v1
title: Viability confirmation

description: For each candidate gene mouse knock-out, observed viability and survival of wildtype, heterozygotes and homozygous mutant mice were confirmed from literature or via correspondence with authors.
DOI: 10.6084/m9.figshare.13513632
title: Data_Rui_PhD_Thesis_NTHU_Chapter_6

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13513632.v3
title: Data_Rui_PhD_Thesis_NTHU_Chapter_6

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13513632.v2
title: Data_Rui_PhD_Thesis_NTHU_Discussion

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.5281/zenodo.4436092
title: Model output from the Bern3D model of pre-industrial and Last Glacial Maximum

description: The here presented datasets contain the model results of the Bern3D model to be published in Pöppelmeier et al. (2021) <em>Climate of the Past Discussions</em> (https://doi.org/10.5194/cp-2020-135). The datasets of the five performed simulations are presented: PI_CTRL, LGM_CTRL, LGM_BS, LGM_BS+wind, LGM_BS+wind+tidal. For detailed information on the model set ups please see section 2 and Table 1 of Pöppelmeier et al. (2021).
DOI: 10.5281/zenodo.4436091
title: Model output from the Bern3D model of pre-industrial and Last Glacial Maximum

description: The here presented datasets contain the model results of the Bern3D model to be published in Pöppelmeier et al. (2021) <em>Climate of the Past Discussions</em> (https://doi.org/10.5194/cp-2020-135). The datasets of the five performed simulations are presented: PI_CTRL, LGM_CTRL, LGM_BS, LGM_BS+wind, LGM_BS+wind+tidal. For detailed information on the model set ups please see section 2 and Table 1 of Pöppelmeier et al. (2021).
DOI: 10.6084/m9.figshare.13416479.v1
title: Data_Rui_PhD_Thesis_NTHU_Chapter_3

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13416479
title: Data_Rui_PhD_Thesis_NTHU_Chapter_5

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13416479.v3
title: Data_Rui_PhD_Thesis_NTHU_Chapter_5

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13416479.v2
title: Data_Rui_PhD_Thesis_NTHU_Chapter_3

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13567382.v1
title: Data_Rui_PhD_Thesis_NTHU_Chapter3-6

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13567382
title: Data_Rui_PhD_Thesis_NTHU_Chapter3-6

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.5519/qd.ki9spri0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1348601 records)
DOI: 10.5281/zenodo.4436007
title: Data and scripts used in "Atlantic Equatorial Undercurrent intensification counteracting warming induced deoxygenation"

description: This file contains data and scripts for "Atlantic Equatorial Undercurrent intensification counteracting warming induced deoxygenation“. Data: Physical oceanography (CTD) during Meteor cruise M158 ADCP current measurements (38 and 75 kHz) during Meteor cruise M158 wind products (ASCAT, CCMP, JRA55do, QuikSCAT) Data of the mean 23W ship section between 5S-14N Velocity data from moored ADCP at 23W, 0N Velocity data from 25 individual ship sections along 23W For the scripts leading to Figures 1 to 3 see subdirectories: figure01/ figure02/ figure03/ For further information on executable scripts and available data, please see the "Readme.txt" documents in the different subdirectories.
description: {"references": ["Peter Brandt, Johannes Hahn, Sunke Schmidtko, Franz Philip Tuchen, Robert Kopte, Rainer Kiko, Bernard Bourl\u00e8s, Rena Czeschel, Marcus Dengler (2020, January 13). Data and scripts used in \"Atlantic Equatorial Undercurrent intensification counteracting warming induced deoxygenation\". Zenodo.http://doi.org/10.5281/zenodo.4436007"]}
DOI: 10.18112/openneuro.ds003468.v1.0.0
title: IQSEC2_fcMRI
DOI: 10.15161/oar.it/73403
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13233353
title: Han R. et al. 2020.rar

description: Extract the compressed file and there are two files:<br>The file of 'statistical data' includes the database that was used to statistical analysis;<br>The file of 'graphic data' includes all values used to build graphs, including means, standard error of mean and other measures reported.
DOI: 10.6084/m9.figshare.7268387
title: R datasets to replicate 'Global Learning, Local Flow' 2018 preprint analyses

description: For the preprint https://psyarxiv.com/8ryue/<br>---------------------------------------------------------Data-frame 'p-value_adjustment' has p-values from all analyses included in paper (named by test), plus their adjusted values after Bonferroni-Holm.<br>Data-frame 'flow_LC_sEBR1-9' has participant-wise values for mean Flow, learning curve slope, spontaneous blink rate, to replicate analyses for RQ3.<br>