cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26036/cnp0002220
title: Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis

description: We employed Stereo-seq, a high-definition spatially resolved transcriptomic technology, to dissect the spatiotemporal dynamics of gene expression and regulatory networks in the developing zebrafish embryo. We profiled 91 embryo sections covering six critical time points (3.3, 5.25, 10, 12, 18, 24hpfs) during the first 24 hours of development, obtaining a total of 139,391 spots at cellular size (~100 µm2) with spatial coordinates.We also performed single-cell RNA-seq at the correspondent timepoints. Raw data of Stereo-seq were deposited in https://db.cngb.org/stomics/project/STT0000007. Raw data of scRNA-seq were deposited in https://db.cngb.org/search/project/CNP0002220/.
DOI: 10.26036/cnp0003145
title: Gut Microbiota in Guizhou local chickens

description: ckicen gut microbiome 16SrRNA sequncing data
DOI: 10.26036/cnp0003777
title: Epinephelus coioides genome

description: Mechanisms of sex differentiation and sex reversal in hermaphrodite fish Transcriptomics
DOI: 10.26036/cnp0003816
title: A Chromosome-Level Genome Assembly of the Alligator gar (Atractosteus spatula)

description: Here, we present the first high-quality chromosome-level genome of the Alligator gar (Atractosteus spatula) with high completeness and contiguity assembled by ONT sequencing, DNBSEQ sequencing and Hi-C sequencing technology.
DOI: 10.17632/cmgy3fn8fy.1
title: Velocity Analysis of a 5-DOF Hybrid Manipulator. MATLAB Files

description: This dataset presents MATLAB files that solve the inverse velocity problem for a 5-DOF hybrid (paralell-serial) manipulator, introduced in paper doi.org/10.3103/S1052618818050059 in Fig. 11 of the paper (one can also consider paper doi.org/10.31857/S023571190001553-9 or https://elibrary.ru/item.asp?id=36425431 for the original version in Russian). The corresponding paper describing the applied algorithm will be presented on MeTrApp 2023 and published in the "Mechanism and Machine Science" series.

The inverse position problem has been solved in dataset doi.org/10.17632/tp8nx5jhyv.1, and the corresponding paper describing the applied inverse position algorithm is going to appear in the "Remote Automation and Control" journal in 2023. Please check the list of works at https://orcid.org/0000-0002-3928-5440.

The dataset includes the following functions and folders:

1. Function "main.m" is a complete program, which solves the inverse velocity problem and plots the results. It can be run using "Run" or "Run and Advance" commands in the "Editor" tab.
2. Folder "Init" includes function "initParams.m," which sets the geometrical parameters of the considered manipulator.
3. Folder "Kinematics" includes:
  3.1. Function "ikp.m," which solves the inverse position problem.
  3.2. Function "isp.m," which solves the inverse velocity problem.
  3.3. Function "oscillate.m," which sets the trajectory used for the analysis.
  3.4. Function "PoESym.m," which generates auxiliary functions, presented in folder "Auxiliary," from symbolic expressions. This function is not necessary to run "main.m," because all the required auxiliary functions, which are necessary, have already been generated in this dataset.
4. Folder "Plot" includes:
  4.1. Function "plotISP.m," which plots the solution of the inverse velocity problem.
  4.2. Function "plotTraj.m," which plots the trajectory set in "oscillate.m" and used for the analysis.
  4.3. Function "plotMech.m," which plots the manipulator in the required configuration.
  4.4. Function "plotSettings.m," which provides plot settings for the plots generated by "plotTraj.m" and "plotMech.m."
DOI: 10.17632/w948kfrsv6.1
title: Comparison of CMIP5 and CMIP6 high-resolution simulations for soil erosion response to climate and land use changes over China

description: This data set is the spatial data set of the historical (1986-2005) and future (2071-2090) average annual soil erosion rate, rainfall erosivity and conservation support practice factor in China under the CMIP5 and CMIP6 frameworks, with a spatial resolution of 0.5 ° × 0.5°。
DOI: 10.17632/y75nndwhsm.1
title: Placebo Effects in Elite Child Athletes (Rowers)

description: 12 children received a tic tac saying that one of its ingredients (gummi arabicum) has a performance-enhancing effect, in counterbalance order (control and placebo). Then they made a rowing sprint we tested heart rate, meters, and strokes, as well as expectancy and perceived performance in the two conditions. Placebo effects have emerged as per meters completed.
DOI: 10.17632/77msfbhhf8.1
title: Food Insecurity in Camden, NJ

description: Camden has the largest food desert community. Camden is referred to as a food desert, a location where it is extremely difficult to find fresh food. Supermarkets are scarce, and they are too far away to be reached without a car. Bodegas are the main source of food for the locals, however junk food corner businesses are thriving. Camden has a significant issue with food accessibility and is known to be the poorest city in the Nation.

The data set represents different types of food stores in Camden, NJ. While also looking at transportation locations, residents depend on buses and trains to reach destinations. The data set also represents how food oppression is institutional and physically debilitates a socially subordinated group.  We can evaluate and see from this set of data that Camden desperately needs local fresh produce.
DOI: 10.17632/7zhpmrkgxz.2
title: Nature Reserve Reef Eilat metabolic data and graphs 2000-02 and 2015-16 

description: The supplementary data includes Daily average, minimum and maximum of physical and chemical parameters in the NRR (Table S1); Occurrences of lagoon salinity decrease below fore reef values in the NRR during the 2015-16 campaigns (Table S2); daily cycle of CO2 Gas Exchange flux in the NRR During 24th-26th August 2016 (Fig. S1); Example for calculating the nighttime net dissolution from reconstruction of the TA in lagoon water due to water exchange with open sea water alone and the measured TA in reef water (Fig. S2); Additional cycles of TA and dissolved oxygen in the NRR lagoon and corresponding PAR in field campaigns made during 2015-16 (Fig. S3).
DOI: 10.17632/7zhpmrkgxz.1
title: Nature Reserve Reef Eilat metabolic data and graphs 2000-02 and 2015-16 

description: The supplementary data includes Daily average, minimum and maximum of physical and chemical parameters in the NRR (Table S1); Occurrences of lagoon salinity decrease below fore reef values in the NRR during the 2015-16 campaigns (Table S2); daily cycle of CO2 Gas Exchange flux in the NRR During 24th-26th August 2016 (Fig. S1); Example for calculating the nighttime net dissolution from reconstruction of the TA in lagoon water due to water exchange with open sea water alone and the measured TA in reef water (Fig. S2); Additional cycles of TA and dissolved oxygen in the NRR lagoon and corresponding PAR in field campaigns made during 2015-16 (Fig. S3).
DOI: 10.17632/7zhpmrkgxz.3
title: Nature Reserve Reef Eilat metabolic data and graphs 2000-02 and 2015-16 

description: The supplementary data includes Daily average, minimum and maximum of physical and chemical parameters in the NRR (Table S1); Occurrences of lagoon salinity decrease below fore reef values in the NRR during the 2015-16 campaigns (Table S2); daily cycle of CO2 Gas Exchange flux in the NRR During 24th-26th August 2016 (Fig. S1); Example for calculating the nighttime net dissolution from reconstruction of the TA in lagoon water due to water exchange with open sea water alone and the measured TA in reef water (Fig. S2); Additional cycles of TA and dissolved oxygen in the NRR lagoon and corresponding PAR in field campaigns made during 2015-16 (Fig. S3).
DOI: 10.17632/c3rxvdgbrs.1
title: Hydrogel Rheology, Optical Values, and Swelling

description: Rheological, Optical, and Swelling data are provided for hydrogel formulations with monomer to crosslinker ratios of 60-1 and 15-1, increased linear acrylamide chains, and heated polymerization. Rheological values were obtained from a stress rheometer and optical values were obtained with UV-vis spectroscopy.
DOI: 10.17632/gfpmzx49mx.1
title: 3-Point Bend Testing for 100% Grid Infill PLA Samples

description: This data set represents the raw data obtained from 3-point bend testing on 5 different PLA bars with a geometry of 100% grid infill. The raw data provides: reading, load, travel, and time.
DOI: 10.17632/ryr3rfbcps.1
title: Data for: Childhood environmental unpredictability and experimentally primed uncertainty in relation to intuitive versus deliberate visual search as a cognitive life history 

description: The two datasets are for the paper entitled Childhood environmental unpredictability and experimentally primed uncertainty in relation to intuitive versus deliberate visual search as a cognitive life history.
The authors investigated the interaction between childhood unpredictability and the experimentally manipulated state of uncertainty on intuitive versus deliberate visual search strategies by conducting a simple visual search (Study 1) and a complex information search (Study 2). The eye-movements of the participants were used as indicators of intuitive strategies versus deliberate strategies during visual search tasks.
DOI: 10.17632/2jcm7dtjkf.1
title: Number of Ordinances Related to Animals in Central Jersey Legislation

description: The number of ordinances and articles in the legislation of Central Jersey counties of Monmouth, Mercer, Hunterdon, Union, and Somerset related to animals as seen through the counties' municipalities.
DOI: 10.6084/m9.figshare.21723314
title: C-iTRACE PD Ocean

description: Ocean potential density tracer from an isotope enabled coarse resolution (3˚), ocean-only simulation run from the LGM (22ka) to present day using iPOP2. Reprocessed original netcdf3 file to netcdf4 using Xarray
DOI: 10.17632/gs97g3mgwv.1
title: Xia et al NEPO wtCaCO3%

description: The data file provides coordinates, depth, wtCaCO3% of the surface/coretop marine sediments in the Northeast Pacific Ocean and sources for the data.
DOI: 10.17632/thtz8h894m.1
title: Cut Dataset

description: The generated (unlabelled) dataset used for training a semi-supervised machine learning model for cut selection within the Branch-and-Cut framework.
DOI: 10.17632/x8dbztc9fs.1
title: A portable soil surface roughness instrument for automatic two-dimensional profile roughness measurement in the field

description: Soil surface roughness, which refers to the unevenness of the soil surface, is an important factor that affects the radar backscatter coefficient and the microwave emissivity of the surface. Surface geometrical roughness has important applications in fields such as agriculture, soil science, weather and climate prediction, and geology. To measure roughness, the instrument is mounted on a tripod and uses a laser to punch out horizontal points at intervals of 1 cm using rotary scanning. The instrument then performs ranging and calculates the height of each point based on the current rotation angle and distance. This allows it to obtain a surface height profile with a length of 1 meter. Finally, the instrument determines the roughness and relevant length of the soil surface. Field experiments were carried out with this instrument and a pin meter. The roughness values obtained from the instrument were highly correlated with those obtained by the pin roughness meter. Compared to traditional contact methods, this instrument has the advantages of a simple structure, good portability, and a high degree of automation. It can be used in the field of microwave remote sensing or soil science.
DOI: 10.17632/zpftd3g779.1
title: Supplementary Table II

description: Predictors of matching among dermatology couples match applicants.
DOI: 10.17632/pt3kzzw8b9.1
title: Supplementary Table I

description: Characteristics of all dermatology applicants (2017-2022) within STAR database.
DOI: 10.17632/rwhzf62scn.1
title: Acute toxicity data of common agricultural insecticides to Japanese wild bees

description: Mortality and LD50 values of Japanese wild bees (Andrena prostomias, Apis cerana japonica, Bombus deuteronymus, Bombus honshuensis, Bombus hypocrita, and Eucera spp.) at 24 and 48 h after exposure to clothianidin, fipronil, and diazinon (all or any of them).
DOI: 10.17632/rwhzf62scn.2
title: Acute toxicity data of common agricultural insecticides to Japanese wild bees

description: Mortality and LD50 values of Japanese wild bees (Andrena prostomias, Apis cerana japonica, Bombus deuteronymus, Bombus honshuensis, Bombus hypocrita, and Eucera spp.) at 24 and 48 h after exposure to clothianidin, fipronil, and diazinon (all or any of them).
DOI: 10.17632/rwhzf62scn.3
title: Acute toxicity data of common agricultural insecticides to Japanese wild bees

description: Mortality and LD50 values of Japanese wild bees (Andrena prostomias, Apis cerana japonica, Bombus deuteronymus, Bombus honshuensis, Bombus hypocrita, and Eucera spp.) at 24 and 48 h after exposure to clothianidin, fipronil, and diazinon (all or any of them).
DOI: 10.17632/3z6mjk39jv.1
title: Datasets of ionospheric parameters (TEC, SI, positioning errors) from Lisbon airport area for 2014-2019

description: Here we present datasets based on data from a GNSS receiver with the  SCINDA software installed in Lisbon airport area from December 
of 2014 to February of 2019. The installed equipment was a NovAtel EURO4 with a JAVAD Choke-Ring antenna. 

The presented data consists of 2 parts: 
(1) data produced by SCINDA;
(2) processed data. 

The presented datasets cover the time interval from December 2014 to February 2019, except for the SCINDA data for 2015, which can 
be found in a companion dataset "Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area" (DOI: 10.17632/kkytn5d8yc.1).
All the data are in an archived format and have 1 min cadence. 

The data produced by SCINDA include the general messages on quality of records (*.msg), random number generator files (*.rng), raw 
observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere 
scintillations monitor (*.ism) and ionospheric parameters: total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation 
index S4 (*.scn). 

The processed data are the TEC, S4, ROTI and position (latitude, longitude, altitude) extracted from the SCINDA data and processed 
(details can be found in the companion paper - TBA). 
In general the processing includes the removal of outliers and the data from non-GPS satellites, the replacement of missing data by "NA", 
application of the elevation mask to the TEC data (>= 15º). 

Since the receiver was not calibrated when installed we also provide a provisional calibrated TEC data (see the companion paper for details).

The processing of the original SCINDA data was done using 
(1) a dedicated "SCINDA-Iono" toolbox for MATLAB developed by T. Barlyaeva (2019, updated 2022) and available online via MathWorks File Exchange system (https://www.mathworks.com/ matlabcentral/fileexchange/71784- scinda- iono _ toolbox);
(2) scripts for R developed by A. Morozova (2022) and available online via GitHub (https://github.com/anitkageo/SCINDA-R-scripts). 
Both the MATLAB toolbox and the R scripts allow to calculate 1-min and 1-hour means for ionospheric parameters both for each of available 
receiver-satellite pairs and averaged over all available satellites during the analyzed hour, however the toolbox and the scripts are not 
interchangeable (please see the companion paper for more details). 

The provided datasets can be of interest for the GNSS and ionosphere scientific communities.
DOI: 10.17632/3z6mjk39jv.2
title: Datasets of ionospheric parameters (TEC, SI, positioning errors) from Lisbon airport area for 2014-2019

description: Here we present datasets based on data from a GNSS receiver with the  SCINDA software installed in Lisbon airport area from December 
of 2014 to February of 2019. The installed equipment was a NovAtel EURO4 with a JAVAD Choke-Ring antenna. 

The presented data consists of 2 parts: 
(1) data produced by SCINDA;
(2) processed data. 

The presented datasets cover the time interval from December 2014 to February 2019, except for the SCINDA data for 2015, which can 
be found in a companion dataset "Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area" (DOI: 10.17632/kkytn5d8yc.1).
All the data are in an archived format and have 1 min cadence. 

The data produced by SCINDA include the general messages on quality of records (*.msg), random number generator files (*.rng), raw 
observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere 
scintillations monitor (*.ism) and ionospheric parameters: total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation 
index S4 (*.scn). 

The processed data are the TEC, S4, ROTI and position (latitude, longitude, altitude) extracted from the SCINDA data and processed 
(details can be found in the companion paper https://doi.org/10.6084/m9.figshare.21720524.v1). 
In general the processing includes the removal of outliers and the data from non-GPS satellites, the replacement of missing data by "NA", 
application of the elevation mask to the TEC data (>= 15º). 

Since the receiver was not calibrated when installed we also provide a provisional calibrated TEC data (see the companion paper for details).

The processing of the original SCINDA data was done using 
(1) a dedicated "SCINDA-Iono" toolbox for MATLAB developed by T. Barlyaeva (2019, updated 2022) and available online via MathWorks File Exchange system (https://www.mathworks.com/ matlabcentral/fileexchange/71784- scinda- iono _ toolbox);
(2) scripts for R developed by A. Morozova (2022) and available online via GitHub (https://github.com/anitkageo/SCINDA-R-scripts). 
Both the MATLAB toolbox and the R scripts allow to calculate 1-min and 1-hour means for ionospheric parameters both for each of available 
receiver-satellite pairs and averaged over all available satellites during the analyzed hour, however the toolbox and the scripts are not 
interchangeable (please see the companion paper for more details). 

The provided datasets can be of interest for the GNSS and ionosphere scientific communities.
DOI: 10.17632/dnpgfytnyf.1
title: Carga laboral de profesionales de enfermería en Unidad de Cuidado Intensivo según Nursing Activities Score

description: Data-set de "Carga laboral de profesionales de enfermería en Unidad de Cuidado Intensivo según Nursing Activities Score".
DOI: 10.17632/27g59h9883.1
title: 2019 UN-Doing Business Index Vs. GEDI-Global Entreprenuership Index for 133 countries

description: 2019 UN-Doing Business Index Vs. GEDI-Global Entreprenuership Index for 133 countries
DOI: 10.17632/ywt9mf6xtn.1
title: Construction of a three-component regulatory network of transcribed ultraconserved regions for the identification of prognostic biomarkers in gastric cancer

description: Background: Altered expression and functional roles of the transcribed ultraconserved regions (T-UCRs), as genomic sequences with 100% conservation between the genomes of human, mouse, and rat, in the pathophysiology of neoplasms has already been investigated. Nevertheless, the relevance of the functions for T-UCRs in gastric cancer (GC) is still the subject of inquiry. In the current study, we first used a genome-wide profiling approach to analyze the expression of T-UCRs in GC patients. Then, we constructed a three-component regulatory network and investigated potential diagnostic and prognostic values of the T-UCRs.
Materials and Methods: The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) dataset was used as a resource for the RNA-sequencing data. FeatureCounts was utilized to quantify the number of reads mapped to each T-UCR. Differential expression analysis was then conducted using DESeq2. In the following, interactions between T-UCRs, miRNAs, and mRNAs were combined into a three-component network. The R Survival package was utilized to identify survival-related significantly differentially expressed T-UCRs (DET-UCRs). Using an in-house cohort of GC tissues, expression of two DET-UCRs was furthermore experimentally verified.
Results: Our results showed that thirty-four T-UCRs were dysregulated in TCGA-STAD tumoral samples compared to non-tumoral counterparts. The three-component network was composed of 34 DET-UCRs, 275 miRNAs, and 796 mRNAs nodes. Five T-UCRs including: uc.8, uc.169, uc.342, uc.360, and uc.417 were significantly correlated with the overall survival of GC patients. While no expression of uc.232 was observed in our in-house cohort of GC tissues, uc.343 showed an increased expression, although not statistically significant, in gastric tumoral tissues which was consistent with the bioinformatics analysis results.
Conclusion: The constructed three-component regulatory network of T-UCRs in GC presents a comprehensive understanding of the underlying gene expression regulation processes involved in tumor development and can serve as a basis to investigate potential prognostic biomarkers and therapeutic targets.
DOI: 10.17632/ywt9mf6xtn.2
title: Construction of a three-component regulatory network of transcribed ultraconserved regions for the identification of prognostic biomarkers in gastric cancer

description: Background: Altered expression and functional roles of the transcribed ultraconserved regions (T-UCRs), as genomic sequences with 100% conservation between the genomes of human, mouse, and rat, in the pathophysiology of neoplasms has already been investigated. Nevertheless, the relevance of the functions for T-UCRs in gastric cancer (GC) is still the subject of inquiry. In the current study, we first used a genome-wide profiling approach to analyze the expression of T-UCRs in GC patients. Then, we constructed a three-component regulatory network and investigated potential diagnostic and prognostic values of the T-UCRs.
Materials and Methods: The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD) dataset was used as a resource for the RNA-sequencing data. FeatureCounts was utilized to quantify the number of reads mapped to each T-UCR. Differential expression analysis was then conducted using DESeq2. In the following, interactions between T-UCRs, miRNAs, and mRNAs were combined into a three-component network. The R Survival package was utilized to identify survival-related significantly differentially expressed T-UCRs (DET-UCRs). Using an in-house cohort of GC tissues, expression of two DET-UCRs was furthermore experimentally verified.
Results: Our results showed that thirty-four T-UCRs were dysregulated in TCGA-STAD tumoral samples compared to non-tumoral counterparts. The three-component network was composed of 34 DET-UCRs, 275 miRNAs, and 796 mRNAs nodes. Five T-UCRs including: uc.8, uc.169, uc.342, uc.360, and uc.417 were significantly correlated with the overall survival of GC patients. While no expression of uc.232 was observed in our in-house cohort of GC tissues, uc.343 showed an increased expression, although not statistically significant, in gastric tumoral tissues which was consistent with the bioinformatics analysis results.
Conclusion: The constructed three-component regulatory network of T-UCRs in GC presents a comprehensive understanding of the underlying gene expression regulation processes involved in tumor development and can serve as a basis to investigate potential prognostic biomarkers and therapeutic targets.
DOI: 10.17632/hc2ftmkv3w.1
title: LINF_340011800

description: Hook complex protein
Leishmania infantum (strain JPCM5)