cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7043889
title: Container spreader pose tracking dataset

description: This dataset contains image sequences that feature a moving quay crane spreader in a port environment while unloading a container cargo vessel. A container crane spreader is a device that is installed on a crane and used to lift containers after attaching onto them. <br> The sequences were acquired from a viewpoint similar to that of the crane operator using a camera installed next to the operator’s cabin at a height of approximately 20 meters above the quay. The camera thus moves with the crane, resulting in a non-stationary image background. The dataset is organized into several RAR archives, one for each sequence. In addition to the undistorted image frames, it includes for every sequence a text file whose each line consists of the frame id for every image, the spreader’s bounding box and the spreader’s 6D pose (Rodrigues vector for the orientation, and the translation vector). The axis-aligned 2D bounding box is in the format <em>x0 y0 w h</em> where <em>(x0, y0)</em> is the top left corner and <em>w x h</em> its size, all in pixels. The spreader’s pose is defined with respect to the camera coordinate frame. Also included are the camera intrinsics matrix K for each sequence along with a common 3D mesh model for the spreader. The spreader’s mesh model is supplied in PLY format. For a certain image frame, a model vertex M transforms to the camera coordinate system as R*M + t, R and t being the spreader’s pose (R is the equivalent rotation matrix). The homogeneous coordinates of that vertex’s projection on the image frame are K*(R*M + t). <br> The dataset can support research on topics such as object localization, object detection, pose estimation, tracking, etc.<br> If you use this dataset in your research work, you are kindly asked to cite the following paper in your publications: M. Lourakis and M. Pateraki, "<em>Markerless Visual Tracking of a Container Crane Spreader,</em>" 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 2579-2586, doi: 10.1109/ICCVW54120.2021.00291.
description: The sequences have been acquired by two different PtGrey color GigE cameras, FL3-GE-28S4C-C and BFLY-PGE-31S4C-C. The frames of each sequence are in a separate RAR archive. The spreader 3D model is in spreader40ft.ply.
DOI: 10.3886/e179201v1
title: Supporting young children with disabilities during the COVID19 pandemic: Evidence from caregivers in Virginia

description: The READ ME file describes the data source and analysis file for producing the tables and figures in Supporting young children with disabilities during the COVID19 pandemic: Evidence from caregivers in Virginia<br><br>Abstract:<br>Early care and education (ECE) experiences shape children’s developmental trajectories, particularly for children who have or may have disabilities. However, caregivers of children with disabilities have faced considerable challenges finding care for their children, which have increased during the COVID19 pandemic. Using survey data from nearly 3,000 caregivers of preschool age children in Virginia collected in December 2020-January 2021, we find that caregivers of children with disabilities were less likely to find ECE programs that met their needs, more likely to experience high-levels of stress, and more likely to be concerned about their child’s development than were caregivers of children without disabilities. Concerns about child development were particularly pronounced among caregivers of children with disabilities in remote/hybrid instructional settings. Our findings suggest a disproportionate impact of ECE disruption on caregivers of children with disabilities and the need for targeted supports for these families moving forward.
DOI: 10.34740/kaggle/dsv/4172592
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21026569.v1
title: Genetic variants of MUC4 are associated with prevalence and mortality of colorectal cancer and exhibit synergistic effects with LDL-C levels

description: The data included 884 individuals including 424 controls and 464 CRC patients. Patients had histologically-proven adenocarcinoma, and had undergone surgical resection with curative intent. The patients included 260 colon cancer patients, 192 rectal cancer patients, and 12 consecutive patients with unclassified colorectal cancer who had undergone primary surgery. All participants were Korean. TaqMan allele discrimination analysis was used to analyze <em>MUC4</em> genotypes and sequencing was performed to confirm the results. The concordance between the experimental results and randomly repeated samples was 100%.
DOI: 10.6084/m9.figshare.21026569
title: Genetic variants of MUC4 are associated with prevalence and mortality of colorectal cancer and exhibit synergistic effects with LDL-C levels

description: The data included 884 individuals including 424 controls and 464 CRC patients. Patients had histologically-proven adenocarcinoma, and had undergone surgical resection with curative intent. The patients included 260 colon cancer patients, 192 rectal cancer patients, and 12 consecutive patients with unclassified colorectal cancer who had undergone primary surgery. All participants were Korean. TaqMan allele discrimination analysis was used to analyze <em>MUC4</em> genotypes and sequencing was performed to confirm the results. The concordance between the experimental results and randomly repeated samples was 100%.
DOI: 10.5281/zenodo.7056981
title: Air mass exposure to chlorophyll a (AEC) over the eastern China seas during 2009 to 2020

description: This dataset contains (1) air mass exposure to chlorophyll <em>a</em> (AEC) values, (2) air mass retention ratio over the land (<em>R<sub>L</sub></em>), (3) marine air mss retention ratio within the boundary layer (<em>R<sub>MBL</sub></em>), and (4) harmonic means of boundary layer height along the air mass trajectory (BLH_traj) over the eastern China seas spanning from 2009 to 2020. The domain (23−37° N, 117−130° E) includes the south Yellow Sea (YS), the East China Sea (ECS), and part of Northwest Pacific, which is divided into 145 grids with a spatial resolution of 1° × 1°. The time period is 1 January 2009 − 31 December 2020, and the time resolution is 6 hours. The tracking time of initial trajectory is 72 hours. The Matlab scripts for calculating the abovementioned indices are also given. The main code includes "AEC_Cal_Multi.m", "AirmasstoChla.m", and "BLH_traj_multi.m".
DOI: 10.5281/zenodo.7056980
title: Air mass exposure to chlorophyll a (AEC) over the eastern China seas during 2009 to 2020

description: This dataset contains (1) air mass exposure to chlorophyll <em>a</em> (AEC) values, (2) air mass retention ratio over the land (<em>R<sub>L</sub></em>), (3) marine air mss retention ratio within the boundary layer (<em>R<sub>MBL</sub></em>), and (4) harmonic means of boundary layer height along the air mass trajectory (BLH_traj) over the eastern China seas spanning from 2009 to 2020. The domain (23−37° N, 117−130° E) includes the south Yellow Sea (YS), the East China Sea (ECS), and part of Northwest Pacific, which is divided into 145 grids with a spatial resolution of 1° × 1°. The time period is 1 January 2009 − 31 December 2020, and the time resolution is 6 hours. The tracking time of initial trajectory is 72 hours. The Matlab scripts for calculating the abovementioned indices are also given. The main code includes "AEC_Cal_Multi.m", "AirmasstoChla.m", and "BLH_traj_multi.m".
DOI: 10.34777/e6vt-fz55
title: IdiapVideoAge

description: IdiapVideoAge dataset is a set of youtube video IDs with age labels to facilitates the research in the area of audio-visual age verification with the focus on detecting ages of people below 18 years old.
DOI: 10.5281/zenodo.7057317
title: Aerosol measurements over the eastern China seas during 2017 to 2020

description: This dataset contains the concentrations of trace elements and water-soluble ions in total suspended particles (TSP) over the eastern China seas on four cruises during (1) 27 March – 14 April 2017 (spring), (2) 27 June – 19 July 2018 (summer), (3) 28 December 2019 – 17 January 2020 (winter), and (4) 12 – 29 October 2020 (autumn). The air mass exposure to chlorophyll <em>a</em> (AEC), air mass retention ratio over the land (<em>R<sub>L</sub></em>), marine air mss retention ratio within the boundary layer (<em>R<sub>MBL</sub></em>), and harmonic means of boundary layer height along the air mass trajectory (BLH_traj) corresponding to each TSP sample are also presented. The calculation code for these indices is available at https://doi.org/10.5281/zenodo.7056981.
DOI: 10.5281/zenodo.7057316
title: Aerosol measurements over the eastern China seas during 2017 to 2020

description: This dataset contains the concentrations of trace elements and water-soluble ions in total suspended particles (TSP) over the eastern China seas on four cruises during (1) 27 March – 14 April 2017 (spring), (2) 27 June – 19 July 2018 (summer), (3) 28 December 2019 – 17 January 2020 (winter), and (4) 12 – 29 October 2020 (autumn). The air mass exposure to chlorophyll <em>a</em> (AEC), air mass retention ratio over the land (<em>R<sub>L</sub></em>), marine air mss retention ratio within the boundary layer (<em>R<sub>MBL</sub></em>), and harmonic means of boundary layer height along the air mass trajectory (BLH_traj) corresponding to each TSP sample are also presented. The calculation code for these indices is available at https://doi.org/10.5281/zenodo.7056981.
DOI: 10.18112/openneuro.ds004262.v1.0.0
title: Continuous Feedback Processing
DOI: 10.18112/openneuro.ds004152.v1.1.1
title: Drum Trainer
DOI: 10.48366/r215685
title: Code-switched corpora for Named Entity Recognition (NER)

description: This comparison takes a comprehensive look at various corpora in code-switched or code-mixed language context for the NLP/IE Named Entity Recognition (NER) task. The corpora are surveyed over all the various genre and domains of the underlying text as well as the encoded NER extraction objectives.
DOI: 10.18112/openneuro.ds004152.v1.1.2
title: Drum Trainer
DOI: 10.5281/zenodo.7057157
title: Figure 3–Figure Supplement 4 of the paper 'A Feed-forward Pathway Drives LRRK2 kinase Membrane Recruitment and Activation'

description: Raw immunoblotting data for Figure 3–Figure Supplement 4 of the paper "A Feed-forward Pathway Drives LRRK2 kinase Membrane Recruitment and Activation" (Edmundo G. Vides, Ayan Adhikar, Claire Y. Chiang, Pawel Lis, Elena Purlyte, Charles Limouse, Justin L. Shumate, Elena Spínola-Lasso, Herschel S. Dhekne, Dario R. Alessi, and Suzanne R. Pfeffer) <strong>File descriptions:</strong> <strong>Figure 3–Figure Supplement 4A</strong><br> <strong>Fig.3.S4A_700(tRab10;tLRRK2)_High.tif </strong>- Licor scan (channel 700) showing total Rab10 and total LRRK2 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4A_700(tRab10;tLRRK2)_Low.tif</strong> - Licor scan (channel 700) showing total Rab10 and total LRRK2 blots; low contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4A_800(pRab10;pLRRK2)_High.tif</strong> - Licor scan (channel 800) showing Rab10 pT73 and LRRK2 pS935 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4A_800(pRab10;pLRRK2)_Low.tif</strong> - Licor scan (channel 800) showing Rab10 pT73 and LRRK2 pS935 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4A_HA.tif </strong>- ChemiDoc Scan (ECL) showing HA blot <strong>Figure 3–Figure Supplement 4B</strong> <strong>Fig.3.S4B_700(tRab10;tLRRK2)_High.tif </strong>- Licor scan (channel 700) showing total Rab10 and total LRRK2 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4B_700(tRab10;tLRRK2)_Low.tif</strong> - Licor scan (channel 700) showing total Rab10 and total LRRK2 blots; low contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4B_800(pRab10;pLRRK2)_High.tif</strong> - Licor scan (channel 800) showing Rab10 pT73 and LRRK2 pS935 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4B_800(pRab10;pLRRK2)_Low.tif </strong>- Licor scan (channel 800) showing Rab10 pT73 and LRRK2 pS935 blots; high contrast<br> Panel 1 - top left membrane<br> Panel 2 - top right membrane<br> Panel 3 - bottom left membrane<br> Panel 4 - bottom right membrane <strong>Fig.3.S4B_HA.tif </strong>- ChemiDoc Scan (ECL) showing HA blot
DOI: 10.6084/m9.figshare.21027835
title: Datasets

description: Data supporting the related publication
DOI: 10.34740/kaggle/dsv/4172747
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7057471
title: Wikidata Dump Politician / Entrepreneur / Businessperson (en)

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 579092, <b>statement count</b>: 11735776, <b>triple count</b>: 12839535</b></b>
DOI: 10.5281/zenodo.7057470
title: Wikidata Dump Politician / Entrepreneur / Businessperson (en)

description: RDF dump of wikidata produced with wdumper.<br>View on wdumper<b>entity count<b>: 579092, <b>statement count</b>: 11735776, <b>triple count</b>: 12839535</b></b>
DOI: 10.5281/zenodo.5180314
title: Dataset for statistical analysis of the habituation between the nest builder Cornitermes cumulans termites and their inquiline Curvitermes cf. odontognathus

description: Here we present the dataset used for statistical analysis of the work aiming to known if habituation could attenuate host-inquiline lethal interactions, which could favor cohabitation in termites. For that, we tested the effect of the prior heterospecific exposure time on the behaviour and survival of termite hosts and inquilines during an encounter. We used as a biological model the nest builder termites <em>Cornitermes cumulans</em> and their inquiline <em>Curvitermes</em> cf. o<em>dontognathus</em>. We used prior heterospecific exposure times of 0, 60, 120, and 180 min where inquilines and builders were kept apart in a Petri-dish but sharing the headspace.
description: This dataset is part of the Master's thesis of EM under the supervision of ODS. This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES).
DOI: 10.5281/zenodo.5180315
title: Dataset for statistical analysis of the habituation between the nest builder Cornitermes cumulans termites and their inquiline Curvitermes cf. odontognathus

description: Here we present the dataset used for statistical analysis of the work aiming to known if habituation could attenuate host-inquiline lethal interactions, which could favor cohabitation in termites. For that, we tested the effect of the prior heterospecific exposure time on the behaviour and survival of termite hosts and inquilines during an encounter. We used as a biological model the nest builder termites <em>Cornitermes cumulans</em> and their inquiline <em>Curvitermes</em> cf. o<em>dontognathus</em>. We used prior heterospecific exposure times of 0, 60, 120, and 180 min where inquilines and builders were kept apart in a Petri-dish but sharing the headspace.
description: This dataset is part of the Master's thesis of EM under the supervision of ODS. This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES).
DOI: 10.5281/zenodo.7055831
title: North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change

description: <strong>1、General Introduction:</strong> This dataset includes the model simulation data used in the article going to be submitted to Geophysical Research Letters, named “North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change”. The Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9<sup>◦</sup> ×2.5<sup>◦ </sup>finite volume grid and 30 hybrid sigma pressure levels is utilized to conduct atmospheric model experiments. To validate the impact of the Arctic sea-ice, the Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9◦ ×2.5◦ finite volume grid and 30 hybrid sigma pressure levels is adopted. Two experiments are designed. One is called the control experiment (CTL). In this experiment, the model is forced by the seasonal-varying climatology of SST and SIC as the lower boundary forcing. Another is called the sensitivity experiment (SEN). This experiment is the same as the CTL except that SIC and SST over the Barents-East Siberian Sea region (50°–165°E, 70°–80°N) in June and July are set to be the observational values in 2021. Both the CTL and SEN experiments are integrated for 35 years including a 10-year spin-up, whilst the last 25-year ensemble mean is analyzed in the article. The differences between the SEN and CTL experiments (SEN-CTL) reflect the atmospheric responses to the reduced SIC and increased SST over the Barents-East Siberian Sea region in June-July 2021. <strong>2、Description of this dataset:</strong> CTL represents the control experiment while SEN represents the sensitive experiment. OMEGA, PRECC, PRECL, T, U, V, Z3, and TS denote the vertical velocity, convective precipitation rate, large-scale (stable) precipitation rate, temperature, zonal wind, meridional wind, geopotential height, and surface temperature respectively. All files contain a time coverage from 1 to 35 model-year with a monthly time resolution. The post-processing from 30 hybrid sigma pressure levels to 17 pressure levels has been conducted on the raw data of the model simulations for the variables of OMEGA, T, U, V, and Z3.
DOI: 10.5281/zenodo.7055830
title: North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change

description: <strong>1、General Introduction:</strong> This dataset includes the model simulation data used in the article going to be submitted to Geophysical Research Letters, named “North China Record-Breaking Rainfall of July 2021 tied to the Arctic Sea-ice change”. The Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9<sup>◦</sup> ×2.5<sup>◦ </sup>finite volume grid and 30 hybrid sigma pressure levels is utilized to conduct atmospheric model experiments. To validate the impact of the Arctic sea-ice, the Community Atmosphere Model version 5 (CAM5; Neale et al., 2012) in the Community Earth System Model, version 1.2.1 (CESM1.2.1) with a 1.9◦ ×2.5◦ finite volume grid and 30 hybrid sigma pressure levels is adopted. Two experiments are designed. One is called the control experiment (CTL). In this experiment, the model is forced by the seasonal-varying climatology of SST and SIC as the lower boundary forcing. Another is called the sensitivity experiment (SEN). This experiment is the same as the CTL except that SIC and SST over the Barents-East Siberian Sea region (50°–165°E, 70°–80°N) in June and July are set to be the observational values in 2021. Both the CTL and SEN experiments are integrated for 35 years including a 10-year spin-up, whilst the last 25-year ensemble mean is analyzed in the article. The differences between the SEN and CTL experiments (SEN-CTL) reflect the atmospheric responses to the reduced SIC and increased SST over the Barents-East Siberian Sea region in June-July 2021. <strong>2、Description of this dataset:</strong> CTL represents the control experiment while SEN represents the sensitive experiment. OMEGA, PRECC, PRECL, T, U, V, Z3, and TS denote the vertical velocity, convective precipitation rate, large-scale (stable) precipitation rate, temperature, zonal wind, meridional wind, geopotential height, and surface temperature respectively. All files contain a time coverage from 1 to 35 model-year with a monthly time resolution. The post-processing from 30 hybrid sigma pressure levels to 17 pressure levels has been conducted on the raw data of the model simulations for the variables of OMEGA, T, U, V, and Z3.
DOI: 10.25838/d5p-36
title: Millisecond-long sampling for a comprehensive energetic evaluation of aqueous ionic liquid effects on amino acid interactions

description: The interactions of amino acid side-chains confer diverse energetic contributions and physical properties to a protein's stability and function. Various computational tools estimate the effect of changing a given amino acid on the protein's stability based on parametrized (free) energy functions. When parametrized for the prediction of protein stability in water, such energy functions can lead to suboptimal results for other solvents, such as ionic liquids (IL), aqueous ionic liquids (aIL), or salt solutions. However, to our knowledge, no comprehensive data is available describing the energetic effect of aIL on intramolecular protein interactions. Here, we present the most comprehensive set of potential of mean force (PMF) profiles of pairwise protein-residue interactions to date, covering 50 relevant interactions in water, the two biotechnologically relevant aIL [BMIM/Cl] and [BMIM/TfO], and [Na/Cl]. These results are based on a cumulated simulation time of &gt; 1 ms. aIL and salt ions can weaken, but also strengthen, specific residue interactions by more than 3 kcal mol 1, depending on the residue pair, residue-residue configuration, participating ions, and concentration, necessitating considering such interactions specifically. These changes originate from a complex interplay of competitive or cooperative noncovalent ion-residue interactions, changes in solvent structural dynamics, or unspecific charge screening effects and occur at the contact distance but also at larger, solvent-separated distances. This data provides explanations at the atomistic and energetic level for complex IL effects on protein stability and should help improve the prediction accuracy of computational tools that estimate protein stability based on (free) energy functions.
DOI: 10.5281/zenodo.7057493
title: Common anti-cancer therapies induce somatic mutations in stem cells of healthy tissue

description: Genome-wide mutation analyses have revealed that specific anti-cancer drugs are highly mutagenic to cancer cells, but the mutational impact of anti-cancer therapies on normal cells is not known. Here, we examine genome-wide somatic mutation patterns in 42 healthy adult stem cells (ASCs) of the colon or the liver from 14 colorectal cancer patients (mean of 3.2 ASC per donor) that received systemic chemotherapy and/or radiotherapy. The platinum-based chemo-drug Oxaliplatin induces on average 535±260 mutations in colon ASC, while 5-FU shows a complete mutagenic absence in most colon ASCs. In contrast with the colon, normal liver ASCs escape mutagenesis from systemic treatment. Radiation results in the accumulation of 50-100 5-10,000bp deletions and structural rearrangements in colon ASCs. Thus, while chemotherapies are highly effective at killing cancer cells, their systemic use also increases the mutational burden of long-lived normal stem cells responsible for tissue renewal thereby increasing the risk for developing second cancers.