cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zybm8txn7z
title: DC-D-23-01008R2-Uncropped gel images with MW markers

description: Uncropped gel images with MW markers of article "The gut microbiota protects against colorectal tumorigenesis through lncRNA Snhg9" DC-D-23-00339R2
DOI: 10.15468/dl.dr25hx
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serrulata Lindl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 615 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009352-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w3z4z4wwv6.1
title: Human Postnatal Thymus CITE-seq & ATAC-seq Data Repository

description: Human postnatal thymus datasets (4-33 months of age). Cells were enriched for CD45- and CD25+CD8- cells and then split for CITE-seq and ATAC-seq. CITE-seq cells were stained with the Biolegend TotalSeq-C human universal antibody panel v1.0 and captured with 10X Genomics 5' v2 kits. ATAC-seq nuclei were prepped using 10X Genomics reagents and captured using ATAC v1 kits.
DOI: 10.17632/c74974spph.1
title: Youtube Comments and Viewer Engagement

description: The dataset has been extracted from Youtube. It comprises of comments, likes and replies on the videos of top 4 ads as per Cannes Leaderboard 2021.
DOI: 10.17632/736xttfm35.1
title: Data for: Bouba and Kiki inside Objects: Sound-Shape Correspondence for Objects with a Hole

description: This file includes a power analysis for sample size determination, Tables 1-2, and raw data of Experiments 1-5
DOI: 10.17632/9sbbbt3nzb.1
title: Data for: Public knowledge and attitudes towards consent policies for organ donation in Europe. A systematic review

description: This additional file contains methodological details, including selection criteria and search algorithms, as well as other information relevant for the study.
DOI: 10.17632/37mxbmdjx9.1
title: (raw data) Overcoming anti-PEG antibody mediated accelerated blood clearance of PEGylated liposomes by pre-infusion with high molecular weight free PEG

description: Antibodies that specifically bind polyethylene glycol (PEG), i.e. anti-PEG antibodies (APA), are associated with reduced efficacy and increased risk of serious adverse events for several PEGylated therapeutics. Here, we explored the concept of using free PEG molecules to saturate circulating APA. Surprisingly, we found that 40 kDa free PEG effectively restored the prolonged circulation of PEGylated liposomes in the presence of high titers of pre-existing APA for at least 48 hours in mice. In contrast, lower molecular weight free PEG (≤10 kDa) failed to restore circulation beyond a few hours. These in vivo results were consistent with estimates from a minimal physiologically based pharmacokinetic model. Our results support further investigation of high molecular weight free PEG as a potential method to control and overcome high titers of APA, restoring the prolonged circulation of PEGylated liposomes and possibly other PEGylated therapeutics. The dataset uploaded here gives individual mouse-level concentrations of PEGylated liposome doxorubicin (PLD) in blood and organs of elimination. We tested the PK of PLD in naive mice and mice with low (3 ug dose) or high (30 ug dose) APA. We also tested whether administering various sizes of free PEG (10/20/40 kDa) could restore the long-lasting PK of PLD even in mice that received a high dose of APA. The first tab has descriptions of the study conditions tested in each phase (e.g. what size/dose of free PEG was administered to animals in that experiment)
DOI: 10.17632/chvbsgvv27.1
title: USGS AHG Parameters and Supplementary Data

description: Summary: The ArcGIS Online web map presents information on the geospatial variations of Hydraulic Geometry parameters, morphological/geophysical variables, Manning's n coef., and suspended sediment information at U.S. Geological Survey's river monitoring stations across CONUS. Full Description: Simplified hydraulic geometry relationships representing the average conditions over longer reaches could reduce the need for detailed field surveys and minimize the computational burden while studying river channel flow dynamics. Natural streams are characterized by changes in cross-section geometry and geophysical properties (e.g., bed-roughness, channel slope, channel planform, sediment load, etc.) along their reaches. Variations in the shape of the channel bed geometry are affected by several interacting features including the effect of different flow regimes, channel slope, sediment load, etc. Simplifying the river bed geometries will reduce the burden of assembling the required data and computational burden. “At-A-Station” Hydraulic Geometry (or AHG) relations are power-law functions that relate key hydraulic variables (i.e., velocity, depth, width, and flow area) to discharge at a river monitoring station (Dingman 2007; Dingman and Afshari 2018). The AHG relations have been introduced and discussed among researchers, engineers, and geomorphologists since the '50s based upon a limited number of observations made over a few flow monitoring stations across the United States. Afshari et. al., 2017 introduced a data filtering procedure that was trained and tested over both synthetic and realistic data followed by being applied over ~4000 U.S. Geological Survey’s river monitoring stations to compute AHG parameters based upon robust hydraulic vs. discharge measures. Estimated AHG parameters are combined with basic statistics (mean, minimum, maximum, and standard deviation) of key morphological and geophysical features at all USGS river monitoring sites, e.g. stream (Stahler) order, channel pattern (channel sinuosity), channel bed-slope, and channel lateral [or overbank] slope. The fundamental hydraulics, geographical, and geophysical data sources (websites) applied for making the "USGS Table AHG Parameters And Supplementary Data" table are - USGS National Water Information System (USGS-NWIS) - USGS Staged Product Directory (The National Map) - National Hydrography Dataset Plus V2 (Horizon System Corporation) In doing so, potential interrelation among independent and dependent variables will be highlighted. Accordingly, given some assumptions, it is verified how well channel morphology and hydraulic components are intertwined and combined with AHG parameters and how categorizing river monitoring stations according to these characteristics will be practical and useful for further studies.
DOI: 10.17632/rgnh52j3st.1
title: Moldy: a portable molecular dynamics simulation program for serial and parallel computers

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Moldy is a highly portable C program for performing molecular-dynamics simulations of solids and liquids using periodic boundary conditions. It runs in serial mode on a conventional workstation or on a parallel system using an interface to a parallel communications library such as MPI or BSP. The “replicated data” parallelization strategy is used to achieve reasonable performance with a minimal difference between serial and parallel code. The code has been optimized for high performance in bo... Title of program: Moldy Catalogue Id: ADLT_v1_0 Nature of problem Statistical thermodynamics of liquids and solids. Versions of this program held in the CPC repository in Mendeley Data ADLT_v1_0; Moldy; 10.1016/S0010-4655(99)00496-8
DOI: 10.17632/kcmy434x8h.1
title: CT based assessment of TKA

description: CT evaluation of TKA in 02 different implant designs , PFC sigma and Genesis II, after implantation, to verify the external rotation of the femoral component achieved with reference to the TEA.Genesis II has a Fixed inbuilt external rotation of 3 degrees and the PFC sigma can be modified. The data highlights the effective femoral external rotation achieved and its possible impact on patellofemoral kinematics
DOI: 10.17632/4jdtsgdkdz.1
title: The ill-defined π(AlFeMgSi) phase intermetallics formed in an automotive Al-Si-Mg alloy

description: Fe-containing quaternary π(AlFeMgSi) phase is one of the most important harmful intermetallic compounds in Al-Si-based automotive alloys. Understanding its structure and relation with another intermetallic phase AlFeSi is critical for improving the toughness of the alloys. In the present study, advanced electron microscopy was employed to unveil the defective or ill-defined structures of the π(AlFeMgSi) phase intermetallics. Experimental atomic-resolution images from two projection directions confirmed that the perfect structure of π(AlFeMgSi) phase has a composition of Al9FeMg3Si5 and a space group of P-62m. Interesting is that massive planar defects exist in π(AlFeMgSi) intermetallic compounds. It is revealed that these defects are poor of Mg. Our study suggests a probable mechanism for the π(AlFeMgSi) phase to transform into the AlFeSi phase, which may provide a clue for tuning the quantity or amount of harmful Fe-containing intermetallic compounds in Al alloys.
DOI: 10.17632/kk2rsk7rj6.1
title: Pinus banksiana and Fraxinus nigra dataset for the study of spring temperature in eastern boreal Canada

description: Data include tree-ring widths and wood anatomical chronologies of Pinus banksiana and Fraxinus nigra trees growing in eastern boreal Canada, as well as the reconstructed spring mean temperature, reported in "A 247-years tree-ring reconstruction of spring temperature and relation to spring flooding in eastern boreal Canada" published in "International journal of Climatology" by Nolin et al., 2021.

PIBA_FRNI_Chronos.csv, the tree-ring widths and wood anatomical chronologies (1706-2017) used in this study (species and sites are coded as in Table 1); 

PIBA_FRNI_SampDepth.csv, the annual replication of samples used to produce each chronologies (1706-2017);

PIBA_FRNI_RecSpringTemp.csv, the reconstructed mean spring temperature (1770 to 2016)

LAT_LON_SpringTemp.kml, the coordinate data for each sampling site:

metadatas.txt, a set of self-explanatory instructions and descriptions for data files. 

All other data are available upon request to the corresponding author at alexandreflorent.nolin@uqat.ca (institutional email), alexandreflorent.nolin@gmail.com (permanent email).
DOI: 10.17632/y3ds55n88r.5
title: DRIVE raw data

description: These are the raw and genelevel data from the DRIVE pooled shRNA screen. It contains read counts for 398 cancer cell lines screened for 7’837 genes with an average of 20 shRNAs per gene. The data are provided as a RDS file that can be read in R using the readRDS function. They are formatted as a data.frame containing a unique identifier of the individual shRNA, its sequence, the plasmid counts, the sample counts, an experiment identifier, the name of the pool and the cell line name. Plasmid counts refers to shRNA abundance in the library input, and sample counts refers to NGS counts of individual shRNAs post drop-out screen. To query and download processed data, an interactive tool is available: https://oncologynibr.shinyapps.io/drive/
DOI: 10.17632/cgnx2cs665.3
title: Road Traffic Incident (RTI) Data for Sydney Greater Metropolitan Area

description: The curated Road Traffic Incident (RTI) Data includes 85,611 incidents (crashes, vehicle breakdowns, and others) that took place in the entire Sydney Greater Metropolitan Area, New South Wales, Australia from 1st January 2017 to 31st July 2022.

Here, the datasets are presented in the form of Excel files, shapefiles, Python codes (APIs)

The raw (File name: "Road Traffic Incident Dataset-Raw.csv") and curated RTI  (File name: "Final Road Traffic Incidents.xlsx") datasets are presented in the form of Excel files. Further, metadata (File name: Metadata for final road traffic incidents.xlsx) explain the variables in the curated dataset and is presented in the form of an Excel file. The curated RTI dataset is linked with the zonal information as well such that analysis can be performed at both microscopic and macroscopic levels.

The Independent variables such as road network characteristics, public transport network characteristics, socioeconomic characteristics, and travel characteristics at statistical area level-2 (SA2) were curated and presented in the form of an Excel file (File name: Sydney Zones SA2 variables_4.xlsx). Further, metadata (File name: Metadata_variables_4.xlsx) that explains the independent variables in the curated dataset is presented in the form of an Excel file. 

In the shape files folder, 
1. "Breakdowns at Sydney zones SA2.zip" is the file where all the breakdown incidents that took place in Sydney MSA are linked to the zones at SA2 
2. "Crashes at Sydney zones SA2.zip" is the file where all the crash incidents that took place in Sydney MSA are linked to the zones at SA2 
3. "Incidents at Sydney zones SA2.zip" is the file where all the all incidents that took place in Sydney MSA are linked to the zones at SA2 
4. "Sydney zones SA2 breakdown count.zip" is the breakdown count at SA2 zones in Sydney MSA
5. "Sydney zones SA2 crash counts.zip" is the crash count at SA2 zones in Sydney MSA
6. "Sydney zones SA2 incident counts.zip" is the count of all incidents at SA2 zones in Sydney MSA
7. "Sydney zones SA2 Edges.zip" - all the edges in the Sydney MSA are linked to SA2 zones
8. "Sydney zones SA2 Nodes.zip"- all the nodes in the Sydney MSA are linked to SA2 zones
9. "Sydney zones SA2 MeshBlocks.zip" - the mesh blocks that tell about the land use in the Sydney MSA are linked to SA2 zones
10. "Sydney zones SA2.zip" - Sydney MSA zonal details for SA2

In the Python code for the API folder, 
"API for Incident Data.py" is the Python script for API. The code can be used for extracting incident data from the open data hub.
DOI: 10.17632/r3yjf35hzr.1
title: Shoplifting Dataset (2022) - CV Laboratory MNNIT Allahabad

description: Synthesized shoplifting dataset is created by ourselves in the CV laboratory of MNNIT Allahabad with the help of 32 Megapixel camera. The recorded videos are of 640x480 resolution and captured at frame rate of 30 frames per second. This dataset has clearly distinguishable person's normal and stealing actions. Our self-created dataset consists of two classes: 
1) Normal
2) Shoplifting
The normal class contains video clips that manifest activities like walking, inspecting shop items, etc. Other side, the shoplifting class has video clips representing object stealing actions by human being like putting store items under clothing or bags etc. 

Note: Dataset required pre-processing step to clean video scenes
DOI: 10.17632/5m3n2hjwkh.1
title: Extended MLIT dataset for the 2011 Great East Japan tsunami with inclusion of velocity information

description: The dataset contains the variables used in the paper "Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment" by Scorzini et al. (2024)
DOI: 10.17632/yhrcnygtfm.1
title: Data for: Discourses of Evaluation: Emergent Norms and Practices for International Development NGOs

description: These replication data accompany a submission to World Development and include a Stata do-file and a Stata dataset.
DOI: 10.17632/4mtvgv8k3d.1
title: The completing of the second meiotic division by MII mouse oocytes correlates with the positioning of F-actin and mitochondria in the ooplasm

description: F-actin (red) and mitochondria (green)
DOI: 10.17632/pf74jzb9z7.1
title: Raw data of research"Moderating Effects of Individual Differences on Relationships between External Environments and Intrinsic Motivation"

description: This is the raw data of research "Moderating Effects of Individual Differences on Relationships between External Environments and Intrinsic Motivation". This study examines the effects of external environmental factors, specifically monetary reward and choice, on intrinsic motivation, and tests whether they are moderated by individual differences in autonomy. We randomly assigned 103 undergraduates to one of four conditions in terms of reward and choice. Participants were given puzzles to solve in the experimenters' presence, which they were free to continue tackling when the experimenters left the room. We measured the time spent solving puzzles when free to choose other activities, task enjoyment, and perceived competence as dependent variables. Interest in puzzles was unaffected by receiving a reward in participants with high autonomy orientation but dropped significantly in participants with low autonomy orientation. Choice over the task increased competence in participants with high autonomy orientation but lowered competence in low autonomy orientation. Finally, we found no significant effects on time spent on puzzles. The present study contributes to current literature regarding causes of differences in performance in various achievement settings.
DOI: 10.15468/dl.w5zzrq
title: Occurrence Download

description: A dataset containing 972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Myotis thysanodes Miller, 1897"
 ]
}

 The dataset includes 972 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009354-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5dnfmtgbfs.3
title: Digital Repression Index (updated 2021 data)

description: The data describes global patterns of digital repression for 2021 and incorporates two composite indexes: a latent construct of digital repression, and a latent construct of digital repression capacity. The data includes an interaction for social media penetration for five Digital Society Project variables: government social media monitoring, government dissemination of false information domestic, party dissemination of false information domestic, government social media shut down in practice, and government social media censorship in practice. Key issued addressed by this data: Which countries are deploying digital repression techniques and how prevalent is their use? What is the relationship between regime type and digital repression? How might we understand the relationship between specific types of repression (violating political liberties, physical violence committed by the state, or curtailing private civil liberties) and digital repression? How does the deployment of individual components of digital repression differ according to political system/regime type?
DOI: 10.17632/h38nhgcpgk.1
title: Mirai_Based_DDOS_Dataset

description: This dataset was prepared by converting raw network data from PCAP format to CSV. It is extracted, labeled to classify Mirai-based DDOS attack and the normal from a recorded IoT Network Intrusion dataset using different machine learning models.  According to Kang  [19] referenced in our article, the PCAP dataset may be classified into two categories: normal and Mirai botnet-related attacks (SYN Flooding, ACK Flooding, HTTP Flooding, UDP Flooding, Brute Forcing ARP Spoofing, and scanning attacks).  To prepare this dataset in a suitable form for applying machine learning we used only the SYN Flooding, ACK Flooding, and HTTP Flooding categories as Mirai-based DDOS attack and Normal packets from the above-given dataset.
The developed extractor tool analyses the contents of PCAP files and generates a number of features as a result.  It created a total of 16 features, including the category/level, and their full descriptions are listed below:

No. 	                    Feature Name	                             Description of the feature
1                            IP src	                                            Source IP address
2                            IP dst	                                            Destination IP address
3	                      Iflags	                                            IP flags
4	                     Tflags	                                            TCP flags
5	                     Sport	                                            Source port number
6	                     Dport	                                           Destination port number
7	                     Frag	                                           IP fragment
8	                    Ttl	                                           IP ttl
9	                   Ichksum	                                   IP checksum
10	                   Len	                                           IP length
11	                   Ack	                                          TCP acknowledgment
12	                  Dataofs	                                           TCP Dataofs
13	                  Seq	                                           TCP Sequence
14	                  Window	                                           TCP window size
15	                  Tchksum	                                   TCP checksum
16	                  Label	                                           Category of the data (Normal/DDOS)
After converting the PCAP file into CSV format using our extractor tool the total number of records are 287,230 among it 150742 records are DDOS attacks and 136488 records are normal. We confirm the validity of new generated dataset's by applying different five supervised machine learning models.