cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cr5hkkdtx2.1
title: “A time memory engram embedded in a light-entrainable circadian clock” David E. Ehichioya1, S. K. Tahajjul Taufique1, Sofia Farah, Shin Yamazaki - Current Biology

description: Raw ClockLab and FED3 Data Description:
FED3 data was converted to text file format which can be directly open by the ClockLab. 
Experimental conditions are indicated in the excel file in each data holder. 


FED3 Run Code Description:

“FED3_1.16.1_RF.ino”: a code written specifically for controlling FED3 hardware such as a stepper motor which rotates a disk attached and then dispenses a pellet. It is written using Arduino Integrative Development Environment (Arduino IDE), an open-source platform that uses a programming language based on C++. The “FED3_1.16.1_RF.ino” is a modified version of the original code (“Timed_FR1.ino” with FED3 1.16.1) to enable the feeding schedule cross the midnight (the time date change occurs). For instance, a FED3 feeding schedule from 22:00 to 2:00 cannot be programmed by the original code). With this modified code, the feeding schedule can be programmed as 22:00 to 26:00 and the FED3 provides a continuous feeding window from 22:00 to 2:00.

"FED3.cpp": a code written by C++ containing user-defined functions which are declared within a class (FED3) in the "FED3.h" header file. The "FED3_1.16.1_RF.ino" file calls the class FED3. The “FED3.cpp” and “FED3.h” files are written separately from “FED3_1.16.1_RF.ino” otherwise complicated in a single ino file. Arduino IDE compiles all three files and uploads them onto the FED3 Arduino board (Adafruit Feather M0) which is connected to a PC via a USB cable. We deactivate buzzer and LED lights in the modified FED3.cpp. We also modified FED3.h to display a FED3 version with “RF” extension.



FED3 Data Converter Description:

“FED3_analysis_v1.4.3.py”: a code written for the analysis of data downloaded from the FED3 SD card. It is written using python 3.11.4. This code converts the FED3 data to the text file format which can be opened by the ClockLab.
DOI: 10.17632/t5gbzby56h.1
title: LINF_360016700

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/snpf8f2tcx.1
title: Microbiota-dependent early life programming of gastrointestinal motility. Frith et al.

description: Gastrointestinal microbes modulate peristalsis and stimulate the enteric nervous system (ENS), whose development, as in the central nervous system (CNS), continues into the murine postweaning period. Given that adult CNS function depends on stimuli received during critical periods of postnatal development, we hypothesized that adult ENS function, namely motility, depends on microbial stimuli during similar critical periods. We gave fecal microbiota transplantation (FMT) to germ-free mice at weaning or as adults and found that only the mice given FMT at weaning recovered normal transit, while those given FMT as adults showed limited improvements. RNAseq of colonic muscularis propria revealed enrichments in neuron developmental pathways in mice exposed to gut microbes earlier in life, while mice exposed later – or not at all – showed exaggerated expression of inflammatory pathways. These findings highlight a microbiota-dependent sensitive period in ENS development, pointing to potential roles of the early life microbiome in later life dysmotility.
DOI: 10.17632/2pszxwmmnx.1
title: LINF_360017400

description: Memo-like protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/24yp3xp58b.1
title: Design Creativity: EEG Dataset in Loosely Controlled Modified TTCT-F Creativity Experiments

description: "Creativity Dataset" includes electroencephalography (EEG) signals recorded while participants performed creativity tasks.
The participants in this study consisted of 28 graduate students. All participants were right-handed and had normal or corrected vision, reported good mental health, and had no history of medical or psychiatric issues or treatment. The EEG cap was positioned according to the 10-10 international standard system. EEG signals were recorded using a 64-channel BrainVision actiCHamp and sampled at 500 Hz.
The creativity experiment followed a modified figural Torrance Test of Creative Thinking (TTCT-F) test. Each creativity experiment included three incomplete sketches shown to the participants. For each sketch, participants were asked to go through three creativity tasks including idea generation, idea evolution, and idea evaluation. The idea generation section instructed participants to intuitively complete a sketch based on their initial perception of the image. In idea evolution (IDE), volunteers were tasked with creating a drawing that significantly diverged from the previous sketch. In idea evaluation (IDR), participants assessed the difficulty of thinking and drawing in the idea generation and evolution sections. All the tasks were self-paced and open-ended, lasting up to three minutes. Rest periods (RST1 and RST2) of three minutes were included at the beginning and end of each experiment.
The dataset is structured with 28 (.mat) files corresponding to the 28 participants. Each participant's file contains three trials and in each trial, participants engaged in three creativity tasks: idea generation (IDG), idea evolution (IDE), and idea evaluation (IDR). We used [dataset name]_[participant number]_[trial number]_[creativity task] to name the data records. Dataset _name is “Creativity” for all the recordings. Trial number can be 1,2, or 3 as there were three creativity problems (trials). Creativity task can be IDG, or IDE, or IDR. Rest periods are named RST1 and RST2. The EEG signals are represented in 2D matrices, where rows correspond to the number of channels (63 in this dataset, as one reference channel (Cz) was removed during preprocessing), and columns represent the length of the EEG signals. 
EEG signals were preprocessed using the Harvard Automated Processing Pipeline for Electroencephalography (HAPPE). This involved a bandpass filter (1 to 50 Hz), identification and isolation of globally bad EEG channels, removal of artifacts through independent components analysis (ICA) and wavelet transform, detection and isolation of local bad channels within 2-second segmented epochs, and interpolation of bad channels. The EEG data was then re-referenced to an average reference. The EEG signals were segmented by aligning them with video recordings of the experiments. The preprocessed and segmented EEG data were stored in the creativity dataset. To ensure participant privacy, we omitted videos that may reveal their identity.
DOI: 10.15468/dl.w6uxwm
title: Occurrence Download

description: A dataset containing 2255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conolophus subcristatus (Gray, 1831)"
 ]
}

 The dataset includes 2255 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004407-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/knkp72z2v2.1
title: LINF_360018400

description: fructose-1,6-bisphosphate aldolase (ALD)
Leishmania infantum (strain JPCM5)
DOI: 10.17632/znmfkk5ys9.1
title: LINF_360017600

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/k7fzjk4p9f.1
title: N-body potential for simulating lattice defects and diffusion in copper

description: The supplemetary materials to the article "N-body potential for simulating lattice defects and diffusion in copper"
DOI: 10.17632/f9y2dcfb99.1
title: Gut microbiota metabolites differentially release gliotransmitters from the cultured human astrocytes: a preliminary report

description: This dataset includes raw data underlying the results presented in the publication entitled "Gut microbiota metabolites differentially release gliotransmitters from the cultured human astrocytes: a preliminary report", published in International Journal of Molecular Sciences, 2023
DOI: 10.17632/cc4tc4ngrw.1
title: LDHU3_14.0500

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/8x2v952gpk.1
title: Raw data for "Fission yeast Duc1 links to ER-PM contact sites and influences PM lipid composition and cytokinetic ring anchoring" part 1

description: This is one part of the raw data associated with the manuscript noted within the title published in The Journal of Cell Science. All relevant information is contained within the manuscript.
DOI: 10.17632/2kps5h22d5.1
title: Regulator of G-protein signaling 14 (RGS14) Promotes Cancer Growth in Hepatocellular Carcinoma

description: The gene expression levels from the bulk RNA sequencing process for RGS14/huh7 and GFP/huh7.
DOI: 10.15468/dl.xeu2ed
title: Occurrence Download

description: A dataset containing 50841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Fregata Lacepede, 1799, Fregata minor magnificens Mathews, 1914)"
 ]
}

 The dataset includes 50841 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004406-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/93p4ygrz5d.1
title: Energy absorption characteristics of additively manufactured sea sponge-inspired lattice structures under low-velocity impact loading

description: Our research hypothesizes that bio-inspired lattice structures, modeled after the marine sponge *Euplectella aspergillum*, exhibit superior energy absorption capabilities due to their unique hierarchical architecture. Using low-velocity impact tests conducted with a drop tower, we gathered data on the energy absorption characteristics of these lattices, additively manufactured via digital light processing (DLP). The results reveal that the sea sponge-inspired lattice structure, incorporating double diagonal bracings within a square-grid lattice, enhances stability and promotes a layer-by-layer collapse under impact, achieving an 11-fold increase in energy absorption compared to conventional square-grid lattices. Further, by adjusting the thickness ratio, we observed an additional 87% improvement in energy absorption. The sponge-inspired lattices also outperform traditional energy-absorbing materials like hexagonal honeycombs of equal weight, and the addition of 0.015 phr MWCNTs further amplifies the energy absorption properties, indicating potential for multifunctional lightweight structures. 

The raw experimental data supporting this paper, titled "Energy absorption characteristics of additively manufactured sea sponge-inspired lattice structures under low-velocity impact loading," is accessible in the repository, with files labeled to correspond to figures in the manuscript and supplementary materials, which include comprehensive analyses of various parameters.
DOI: 10.17632/zwmfzn2hpg.1
title: Supporting Information

description: This supporting information presents the results of U-Pb ages and relative contribution of zircons.
DOI: 10.15468/dl.d44ycx
title: Occurrence Download

description: A dataset containing 45318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Crithagra sulphurata (Linnaeus, 1766))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 45318 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004405-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7hh365f3py.1
title: Zhang_Cell2024_TMEM2OE TGFBR1KO_reverse

description: RNA-seq datasets of BJ fibroblasts with indicated genetic modifications (TMEM2-OE, or
TMEM2-OE TGFBR1-KO) and/or pharmaceutical treatments (1 ng/mL TGF-β1 treatment for
24 hours). Four replicates per condition.
DOI: 10.17632/p7vdjx79jy.1
title: 20230929_Nurzec_River_Dataset

description: Data used to analyse the sources of heavy metals transported via suspended sediments and to assess their content within the soils of the small agricultural catchment. Data was collected from Nurzec River catchment. Data contains concentrations of heavy metals in soils and suspended sediments. Samples were collected in period August 2021 - August 2022. Files contains Excel spreadsheet with database of data and a shapefile presenting location of sampling sites (EPSG:2180 coordinate system).
DOI: 10.17632/6pd3bz7kb4.1
title: Continuous Flow High-Pressure Homogenization for Preserving the Nutritional Quality and Stability of Watermelon Juice Under Simulated Market Storage Conditions

description: Supplementary Material
Article type: Original article
Title: Continuous Flow High-Pressure Homogenization for Preserving the Nutritional Quality and Stability of Watermelon Juice Under Simulated Market Storage Conditions
Jayashan Adhikari 1,2, Rakesh Singh 3, Koushik Adhikari 4, Bhimanagouda S. Patil 1,2*


1Vegetable and Fruit Improvement Center, Department of Horticultural Sciences, Texas A&M University, 1500 Research Parkway, Suite A120, College Station, TX 77845-2119, U.S.A.

2Department of Food Science and Technology, Texas A&M University, 1500 Research Parkway, Suite A120, College Station, TX 77845-2119, U.S.A.

3Department of Food Science and Technology, University of Georgia, 100 Cedar St., Athens, GA 30602, U.S.A. 

4Department of Food Science and Technology, University of Georgia, 1109 Experiment St., Griffin, GA 30223, U.S.A.

*Corresponding Author: Bhimanagouda.Patil@ag.tamu.edu


Supplementary figures: (Figure S1)

Supplementary tables: (Table S1)
DOI: 10.17632/rpgb99m5zy.3
title: Machine Learning and Fund Characteristics Help to Select Mutual Funds with Positive Alpha

description: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Replication files to ``Machine Learning and Fund Characteristics Help to Select Mutual Funds with Positive Alpha''
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Each folder contains files to replicate one table or figure of the paper. The folders also contain a readme file to help users to run the codes. The replication_file.tex file generates a PDF file with the replicated tables and figures. 

Notice that the replicated tables and figures are not always identical to those reported in the paper. The reason is that in order to protect the proprietary nature of the data, in some cases we have added noise to mutual fund characteristics and returns; see the README file for details.

The data files that are required to run the codes are stored in the /data_sets/ folder. Some tables and figures require the output from the codes stored in folders /code_for_ML_methods/ , /code_for_AW_method/ and /code_for_EW_method/. It is recommended to run the codes in those folders before running the codes that generate tables and figures. 

We include a file in both tex and pdf formats containing the full set of results.
DOI: 10.17632/3pwm9yvygs.1
title: Eye tracking data of white individuals' movements when looking at bowel cancer promotion messages

description: While promotional visual imagery can significantly increase CRC screening, the specific impact of messages and imagery among ethnic minorities and individuals from socioeconomically deprived communities needs further exploration. This study informed the development of optimized bowel cancer screening promotion images tailored at the wider audience, South Asian community in the UK, in which screening uptake is only 33% and in India where both awareness and organized screening programs from colorectal cancer is scarce. The research aims to bridge the gap between existing visual health communication methods and their effectiveness among diverse populations, ultimately working to reduce screening disparities and improve early detection rates.
DOI: 10.17632/sy5whnf72f.1
title: CryoSEM images showing secondary cell wall macrofibrils in seed plants

description: Fresh woody material was harvested from twenty six plant species across gymnosperms and angiosperms and frozen in slush N2, cryo-fractured, sputter coated with a measured 3 nm platinum layer and then imaged at high magnification on a cryoSEM (Zeiss EVO equipped with Quorum PP3010 cryo system). Each image shows the wood ultrastructure of vessels/tracheids including individual cellulose macrofibrils. These data are used to measure the thickness of the macrofibrils from each species.
DOI: 10.17632/sy5whnf72f.2
title: CryoSEM images showing secondary cell wall macrofibrils in seed plants

description: Fresh woody material was harvested from twenty six plant species across gymnosperms and angiosperms and frozen in slush N2, cryo-fractured, sputter coated with a measured 3 nm platinum layer and then imaged at high magnification on a cryoSEM (Zeiss EVO equipped with Quorum PP3010 cryo system). Each image shows the wood ultrastructure of vessels/tracheids including individual cellulose macrofibrils. These data are used to measure the thickness of the macrofibrils from each species. Further details of the specimens that were sampled are shown in the associated Table 1 "Accession details".
DOI: 10.17632/sy5whnf72f.3
title: CryoSEM images showing secondary cell wall macrofibrils in seed plants

description: Fresh woody material was harvested from twenty six plant species across gymnosperms and angiosperms and frozen in slush N2, cryo-fractured, sputter coated with a measured 3 nm platinum layer and then imaged at high magnification on a cryoSEM (Zeiss EVO equipped with Quorum PP3010 cryo system). Each image shows the wood ultrastructure of vessels/tracheids including individual cellulose macrofibrils. A separate folder "SCW_fibers" contain cryoSEM images of fibre cells of selected species. These data are used to measure the thickness of the macrofibrils from each species. Further details of the specimens that were sampled are shown in the associated Table 1 "Accession details".
DOI: 10.17632/f828gc3nyv.3
title: Dataset: The moderating role of a corporate life cycle on corporate social responsibility China companies

description: This dataset collects data on China's A-share listed companies in 2018 and 2019.

Symbol Meaning Calculation formula
Stkcd Stock code --
CSRPI corporate social responsibility participation index a weighted average of criteria and weights
EVAr relative EVA the ratio of EVA to total capital
MA company mature stage Dummy variable：for a mature company 1, otherwise 0. 
SIZE company size the natural log of total assets of a company
LEV financial leverage the ratio of total debt to total assets
EOC equity ownership concentration the ratio of the largest shareholder ownership（%）
CH cash holding rate the ratio is the sum of cash balance and marketable securities divided by total assets
R&D R&D expense rate the ratio of R&D expense to total assets
AGE company age indicator the natural logarithm of company age
Industry the company's industry categorical variable with two-digit codes for each industry 
Year years of analysis the 2018 sample is 2018, and the 2019 sample is 2019 
ROE Return on Equity the ratio of net profit to equity
CSRPIe corporate social responsibility participation index a simple average with equal weight for each criterion
Mature5 company mature stage Dummy variable：for a mature company 1, otherwise 0.
DOI: 10.17632/jv3dyxndtz.1
title: Male allocation to ejaculation and mating effort imposes different life history trade-offs

description: This contains the raw data and R code pertaining to our manuscript titled "Male allocation to ejaculation and mating effort imposes different life history trade-offs" by Chung et al. (2024) PLOS Biology. The CSV files used for analyses ("Analysis.Rmd") and figures ("fig.Rmd") are provided.

For any further questions, please contact Meng-Han Joseph Chung (chungmenghan@gmail.com or Meng-Han.Chung@anu.edu.au).
DOI: 10.17632/f828gc3nyv.1
title: Dataset: The moderating role of a corporate life cycle on corporate social responsibility China companies

description: This dataset collects data on China's A-share listed companies in 2018 and 2019.

Symbol Meaning Calculation formula
Stkcd Stock code --
CSRPI corporate social responsibility participation index a weighted average of criteria and weights
EVAr relative EVA the ratio of EVA to total capital
MA company mature stage Dummy variable：for a mature company 1, otherwise 0. 
SIZE company size the natural log of total assets of a company
LEV financial leverage the ratio of total debt to total assets
EOC equity ownership concentration the ratio of the largest shareholder ownership（%）
CH cash holding rate the ratio is the sum of cash balance and marketable securities divided by total assets
R&D R&D expense rate the ratio of R&D expense to total assets
AGE company age indicator the natural logarithm of company age
Industry the company's industry categorical variable with two-digit codes for each industry 
Year years of analysis the 2018 sample is 2018, and the 2019 sample is 2019 
ROE Return on Equity the ratio of net profit to equity
CSRPIe corporate social responsibility participation index a simple average with equal weight for each criterion
Mature5 company mature stage Dummy variable：for a mature company 1, otherwise 0.
DOI: 10.17632/f828gc3nyv.2
title: Dataset: The moderating role of a corporate life cycle on corporate social responsibility China companies

description: This dataset collects data on China's A-share listed companies in 2018 and 2019.

Symbol Meaning Calculation formula
Stkcd Stock code --
CSRPI corporate social responsibility participation index a weighted average of criteria and weights
EVAr relative EVA the ratio of EVA to total capital
MA company mature stage Dummy variable：for a mature company 1, otherwise 0. 
SIZE company size the natural log of total assets of a company
LEV financial leverage the ratio of total debt to total assets
EOC equity ownership concentration the ratio of the largest shareholder ownership（%）
CH cash holding rate the ratio is the sum of cash balance and marketable securities divided by total assets
R&D R&D expense rate the ratio of R&D expense to total assets
AGE company age indicator the natural logarithm of company age
Industry the company's industry categorical variable with two-digit codes for each industry 
Year years of analysis the 2018 sample is 2018, and the 2019 sample is 2019 
ROE Return on Equity the ratio of net profit to equity
CSRPIe corporate social responsibility participation index a simple average with equal weight for each criterion
Mature5 company mature stage Dummy variable：for a mature company 1, otherwise 0.
DOI: 10.17632/j2gyb9gkv3.6
title: Data and Models for: The Discrepancy Principle as an Optimization Method for a Gauss-Newton Inversion Scheme

description: This file corresponds to the raw data and response models used in the article titled "The discrepancy principle as an optimization method for a Gauss–Newton inversion scheme".
DOI: 10.17632/j2gyb9gkv3.1
title: Codes for: Discrepancy Principle as an Optimization Method for a Gauss-Newton Inversion Scheme

description: This file corresponds to the codes used in the article.
DOI: 10.17632/j2gyb9gkv3.2
title: Codes for: Discrepancy Principle as an Optimization Method for a Gauss-Newton Inversion Scheme

description: This file corresponds to the raw data and inverted models used in the article.
DOI: 10.17632/j2gyb9gkv3.3
title: Data and Models for: Discrepancy Principle as an Optimization Method for a Gauss-Newton Inversion Scheme

description: This file corresponds to the raw data and inverted models used in the article.