cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25697442.v1
title: Flores Teaching Place Value Using the Concrete-representational-abstract Integrated Sequence of Instruction

description: The current study investigated the effects of the concrete-representational-abstract integrated (CRA-I) sequence to teach rounding and number decomposition. Five students in third grade participated; two students were eligible for services under the category of learning disabilities and three students were at risk of having learning disabilities and received tier three interventions through a multi-tiered system of supports. Students learned the two place value skills using an explicit and systematic presentation of the following models: base ten blocks, pictures, number lines, and abstract numbers and symbols. The students learned a procedural strategy for rounding after they used physical and pictorial models. The researchers used a multiple probe single case research design and assessed both maintenance and generalization. The data show a functional relation.
DOI: 10.17632/95pdczk9jh
title: Input data used for UCRC-Solar in: Introduction, evaluation and application of an energy balance model for photovoltaic modules

description: Input data used for model validation.
DOI: 10.6084/m9.figshare.25737873.v2
title: Materials to conduct mantel tests and generate plots of genetic distance vs geographic distance for <i>Tetraopes texanus</i>

description: The folder contains materials to run a mantel test on Fst for <i>Tetraopes texanus.</i> The file contains a metadata file that describes the analysis we conducted, and R script that we used to run the analysis, a .csv file that contains the geographic distances between each sampled population of <i>T. texanus</i>, and an R object that contains the Fst values of the sampled population (generated in code provided in the folder 'Materials to calculate observed and expected heterozygosity, private alleles, and Fst, and materials to conduct a PCA on RADseq reads for <i>Tetraopes texanus</i>' in this project.)
DOI: 10.6084/m9.figshare.28904699.v2
title: Karyotype_Report-NIST_p18_HG008.pdf

description: Report of cytogenetic analysis on twenty G-banded metaphase spreads for the HG008-T NIST passage 18 cells (2024).
DOI: 10.17632/5rzjzx9mfn
title: Matlab code to address iodine chemistry discussed in the manuscript (2024JD042568) submitted to JGR: Atmospheres in 2024

description: This dataset includes some of the matlab code used in the manuscript "Chlorine activation in marine air: Insights from chemical budgets of molecular chlorine and hypochlorous acid". This manuscript was submitted to JGR:A in 2024 by Men Xia et al.

This code was used to address iodine chemistry in the F0AM model. Reference for this code: Alfonso Saiz-Lopez et al., 2014, ACP. This code should be cited in "ChemFiles" when running the F0AM box model.

The default F0AM box model is available elsewhere: https://github.com/AirChem/F0AM.
DOI: 10.17632/mc3vj77jfn
title: New features of the TFmix code: Thermodynamic properties of electrons in mixtures

description: In this paper we briefly review the finite-temperature Thomas-Fermi model for a mixture of elements and describe a number of modifications made for the new version (1.5) of the code. The model is intended for the calculation of thermodynamic properties of electrons in a mixture of elements. The modifications include density besides volume as an input parameter, switching off the calculation of thermal energy using the integration of heat capacity, more thermodynamic functions in the output including cold parts of thermodynamic functions and Grüneizen parameter, the possibility to plot both isotherms and isochores in the graphical user interface and a lot of minor corrections.
DOI: 10.6084/m9.figshare.25962232.v1
title: Data Paper Gabriela

description: Functional traits are powerful tools for distinguishing between plants with different resource acquisition strategies. Fast-growing plants normally dominate resource-rich habitats and present trait values associated with high productivity, such as high specific leaf area (SLA), short leaf lifespan, and rapid leaf elongation rate (LER). In contrast, slow-growing species have a higher leaf weight ratio (LWR), leaf lifespan (LLS), and phyllochron, which are useful traits for survival in stressful and unfertile environments, but are normally thought to be incompatible with high productivity, even under fertile conditions. We tested the hypothesis that slow-growing forage grasses have demographic parameters (tiller population density and canopy density) that offset their slow individual traits, making them as productive as fast-growing species when grown in fertile soil. Species with contrasting growth strategies (<i>Arrhenatherum elatius </i>L. and <i>Festuca arundinacea Schreb</i> cv. Quantum II<i>, </i>fast and slow-growing species, respectively) were cultivated in 45 m<sup>2</sup> field plots and subjected to the same cutting regime and nitrogen supply level. Functional traits and canopy attributes were continuously measured during 10 growing cycles after the establishment of the swards. <i>A. elatius</i> had higher SLA, LER, leaf senescence, and leaf appearance rates, whereas <i>F. arundinacea</i> had higher LLS and LWR values. Conversely, there were no differences in relative growth rate or forage biomass accumulation. <i>F. arundinacea</i> was able to offset their plant functional traits, typically associated with slow-growing grasses, with some demographic parameter like higher tiller population density, allowing it to be as productive as the fast-growing <i>A. elatius</i> when both were grown in fertile soil. Therefore, we suggest cautionary use of traditional plant functional traits to explain and predict the annual productivity of slow-growing grasses.
DOI: 10.6084/m9.figshare.26335837.v1
title: Genome assembly and annotation of <i>Peucedanum praeruptorum</i>

description: <i>Peucedanum praeruptorum</i>, an Apiaceae plant rich in all coumarin types and particularly high angular CC content.
DOI: 10.17632/56mr27xz8y
title: Briquettes from Fruit Waste

description: This work aimed at developing and characterizing briquettes from orange, mango, and jackfruit wastes at Soroti Fruits Limited and Jakana Foods Limited in Uganda. The briquette development process used cassava starch, cornstarch, and clay as binders, and a manual lever press for compaction. Physical and chemical properties were examined for both homogeneous and composite briquettes at varying binder concentrations. Moisture content, volatile matter, fixed carbon, and ash content were examined using thermogravimetric analysis through an Eltra thermostep thermogravimetric analyzer, software version TGA1.4.3.2a3, with an accuracy of ±0.0001 g. Calorific values of the developed briquettes were determined with bomb calorimetry using an IKA C 2000 oxygen bomb calorimeter with an accuracy of ±0.01 ℃. Mechanical integrity was examined through drop strength, bulk density, and compressive strength. Water boiling tests were also conducted using the water boiling test protocol 4.2.3.
Thermogravimetric analysis showed that the developed briquettes had good physical properties. The 26.71% average volatile matter content indicated that the briquettes were easy to ignite, and they released low emissions during combustion. Briquettes which entailed mango fruit waste char had higher fixed carbon and subsequently registered higher calorific values. Briquettes with starch binders had lower ash content compared to briquettes with the clay binder. The highest rate of change in the burning rate was registered between the 100th and the 135th minutes. The lowest and highest percentage weight losses at the highest combustion temperature were 56% and 78%, respectively.
Although briquettes with the cassava starch binder had higher compressive strength compared with cornstarch and clay binders, the 0.271 N/mm2 average compressive strength for all developed briquettes was lower than 0.38 N/mm2, the acceptable compressive strength in the industry. The low mechanical integrity was further confirmed by a 51% average drop strength which means that the developed briquettes are susceptible to damage during transportation and storage. The low mechanical integrity in this study highlighted the short comings of using a manual lever press as a compaction method. 
Water boiling test results re-echoed the optimum calorific value and volatile matter content results from briquettes which had starch binders.  The results show that briquettes with fast ignition and the ability to release more energy shorten the cooking durations.
DOI: 10.6084/m9.figshare.12980438.v1
title: TCGA-KIRC RNA-seq

description: TCGA-KIRC RNA-seq
DOI: 10.6084/m9.figshare.22099886.v1
title: Quercus robur

description: Quercus robur
DOI: 10.6084/m9.figshare.28270298.v1
title: Table_S2.xlsx

description: Table S2. A) Results from the DE analysis of RBP levels between tumor/adenoma and matched adjacent mucosa. The results of the correlation analysis with the number of detected circRNAs in each sample are also reported. B) DE circRNA-binding motifs of correlated RBPs.
DOI: 10.17632/82dnstrd93
title: Air quality low-cost sensors and monitoring stations NO2 raw dataset in Rouen (France)

description: Data was collected by ATMO Normandie using 9 low-cost electrochemical sensors and 2 monitoring stations (thereafter named QDP and SUD3) located in Rouen, France, close to major roads. At the beginning of the measurements campaign, each sensor is installed co-located with one traffic monitoring station (4 at the SUD3 site and 5 at the QDP one). Most of them were permuted to the other one so as to study the stability of the calibration models when the device is turned off, moved and installed in a different location. The dataset gathers hourly averaged data given by low-cost sensors and monitoring stations between October 20, 2021 to March 25, 2022. It also includes co-variates measured by the sensors: temperature, relative humidity, atmospheric pressure, plus Ox and CO measures. The devices being co-located, the main goal is to calibrate low-cost sensors by means of a model which should provide a NO2 measurement in μg/m3. Then, the model is to be tested against another monitoring station by moving the sensors, so as to study its stability when the environment is modified. In this aim, some sensors were also moved a second time to make new measurements on the site they were calibrated. Moreover, this experiment was undertaken so as to understand how moving or shutting down the devices impacts the efficiency of calibration models. However, two sensors were never moved from their original location, so as to study the existence of a temporal drift. Our full dataset is divided into 9 CSV files (one per sensor) named ‘ASExx.csv’ where ‘xx’ denotes the sensor’s id. (‘xx’ goes from 4 to 13, excluding 9). Each file is organized as follows, having for columns:
- date: the timestamp in UTC, in the format yyyy-mm-dd HH:MM.
- ASE_NO2: the hourly averaged concentration of NO2 measured by the sensor in µV.
- ASE_NO: the hourly averaged concentration of NO in µV.
- ASE_CO: the hourly averaged concentration of CO in µV.
- ASE_Ox: the hourly averaged concentration of Ox in µV.
- ASE_T: the hourly averaged temperature inside the node in °C.
- ASE_HR: the hourly averaged relative humidity inside the node in %.
- ASE_PA: the hourly averaged atmospheric pressure in hPa.
- SUD3_NO2: the hourly averaged concentration of NO2 measured by the reference monitor SUD3 in μg/m3.
- SUD3_NO: the hourly averaged concentration of NO measured by the reference monitor SUD3 in μg/m3.
- QDP_NO: the hourly averaged concentration of NO measured by the reference monitor QDP in μg/m3.
- QDP_NO2: the hourly averaged concentration of NO2 measured by the reference monitor QDP in μg/m3.
- QDP_CO: the hourly averaged concentration of CO measured by the reference monitor QDP in μg/m3.
- location: Either QDP or SUD3, the place where the node was located at the time of the measurements.
Each row of a file represents an observation of the pollutants, averaged over the last hour (excepts for the date and location). Each missing measurements is represented by a ‘NA’ (Not Available).
DOI: 10.17632/c495bkk9vf
title: Software of prediction models for 12 poly(A) signal variants in human and feature vectors of regions covering [-300,poly(A) hexamer,+300] for these 12 signal variants.

description: We used human genome hg38 from GENCODE folder at EBI ftp server (ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_28/GRCh38.primary_assembly.genome.fa.gz) 1) Positive set (PAS sequences) Using GENCODE annotation for poly(A) (ftp://ftp.ebi.ac.uk/pub/databases/gencode/Gencode_human/release_28/gencode.v28.polyAs.gff3.gz) We selected poly(A) signal annotation. Using bedtools-slop option, we found regions extended 300 bp upstream and 300 bp downstream of the poly(A) hexamer. With the bedtools-getfasta option, we extracted 606 bp fasta sequences from these regions. After eliminating duplicates, we obtained 37’516 presumed true functional poly(A) signal (PAS) sequences. Sequences from this set will be denoted as positive. 2) Negative set (pseudo-PAS sequences) For the negative set, we looked for regions extended outside the region covering 1’000 bp upstream and downstream of the positive poly(A) hexamer signal using bedtools-complement. Homer tool was used to find matches for the 12 most frequent human poly(A) variants. Since the number of matches was huge, sampling was used to select 37’516 pseudo-PAS sequences. Sampling was done from each chromosome proportionally to the chromosomes lengths and also to the expected frequency of the poly(A) variants. Out of these predictions, for each PAS hexamer, we selected the same number of pseudo-PAS sequences as in the positive set. 3) Training and testing sets We selected randomly from each of the positive and negative datasets 20% of sequences for the independent test data. The testing set thus consisted of 15’020 sequences. The remaining data represented the training set that consisted of 60’012 sequences. Both datasets are balanced relative to the true PAS and pseudo-PAS sequences. 4) Processed sequences These sequences are processed by the Matlab code we provide, and sequences are converted to feature vectors of length 205. To the end of each of these features vectors, the class label ('1' for true PAS and '0' for pseudo-PAS) is added. These processed sequences are provided here. 5) Prediction models In addition, we provide software encoding final models for prediction of each of the 12 PAS variants. For each PAS variant, there is a Linear Regression model and a Deep Neural Network (DNN) model.
DOI: 10.17632/y8d52ygdxv
title: 3D branching simulation v. 3.21

description: Program to simulate and visualize 3D branching networks.
DOI: 10.17632/yw95dy7vbz
title: Lambert W function for applications in physics

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The Lambert W ( x ) function and its possible applications in physics are presented. The actual numerical implementation in C++ consists of Halley’s and Fritsch’s iterations with initial approximations based on branch-point expansion, asymptotic series, rational fits, and continued-logarithm recursion. Title of program: LambertW Catalogue Id: AENC_v1_0 Nature of problem Find fast and accurate numerical implementation for the Lambert W function. Versions of this program held in the CPC repository in Mendeley Data AENC_v1_0; LambertW; 10.1016/j.cpc.2012.07.008
DOI: 10.6084/m9.figshare.29086997.v1
title: Final dataset.csv

description: To investigate the association between plant-based diet and the risk of arthritis, and to find strategy which achieves the ambitious goal of healthy aging.
DOI: 10.23645/epacomptox.5588632.v4
title: Archived Distributed Structure-Searchable Toxicity (DSSTox) Data

description: The most updated EPA DSSTox data files are available https://doi.org/10.23645/epacomptox.5588566 . EPA’s Distributed Structure-Searchable Toxicity (DSSTox) database contains curated chemical substances mapped to data including chemical identifiers (i.e., chemical synonyms, systematic names, CAS Registry Numbers and others) and, where appropriate, chemical structure representations. The goal for DSSTox is to accurately represent chemical substances, their structures and identifiers, as well as relevant chemical lists which are important to the environmental research and regulatory community.Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.6084/m9.figshare.26763868.v1
title: Data for: Global change and premature hatching of aquatic embryos

description: All data and code for the following publication: Cowan et al. Global change and premature hatching of aquatic embryos. Global Change Biology.
DOI: 10.17632/4553jk9dvz
title: Multi label Audiotory Dataset from Diverse Indian Urban Environments

description: This manually annotated multi-label urban audio dataset represents the Indian urban environment. The labels in the dataset are - human, vehicle, bird, mammal, bicycle bell, and silence.
DOI: 10.17632/479n2rzzxx
title: MIR laser sensor for temperature and CO concentration measurement using HPSDS

description: Sample data and code for presprocessing experimental HPSDS signal and fitting it to simulation. 
HPSDS is a phase measurement method that utilizes direct injection current high-frequency modulation of a semiconductor laser to generate multiple sidebands adjacent to the central wavelength of the laser, and it detects the phase of the heterodyne signals between these sidebands. It has as simple optical setup as TDLAS, while possessing its intrinsic advantage of immunity to power fluctuation noises.
DOI: 10.17632/82bvvz2gbn
title: Multi-scenario network performance dataset

description: We utilized GenNP to generate a network performance simulation dataset comprising 10,000 samples. This dataset encompasses two scenarios: normal operation and fault conditions. To simulate diverse scenarios, we randomly sampled feasible values of configuration parameters. Detailed information about the configuration parameters of the network performance simulation dataset can be found at http://ssrn.com/abstract=4968394 or https://doi.org/10.1016/j.comnet.2025.111209.
It is worth noting that, given the large number of controllable variables, the scope of potential scenarios is very broad. Therefore, to ensure comprehensive spatial coverage within this dataset, the time granularity for sampling network performance outputs was uniformly set to one-second intervals.
DOI: 10.17632/mw289rrkyy
title: AI_Impact_on_workforce

description: This study examines how AI adoption impacts job security and skill development among employees in India, China, and Bangladesh. Analyzing data from 8,152 respondents, it finds motivation, learning ability, education, and compensation help employees adapt to AI, reducing job displacement fears. However, rapid AI deployment without training increases displacement risks. Leadership style and job complexity also influence adaptation. The study offers practical insights for managing workforce transitions in emerging economies.
DOI: 10.17632/p5gj2dzmpp
title: Data Set and Results for Generalized Order Acceptance and Scheduling with Batch Delivery (GOASB) Problem

description: This data set includes the test instances and computational results in the paper entitled as "Generalized Order Acceptance and Scheduling Problem with Batch Delivery: Models and Metaheuristics" (Tarhan and Oğuz) and to be published in Computers and Operations Research with the following doi: https://doi.org/10.1016/j.cor.2021.105414.
DOI: 10.17632/t4hf26kkyh
title: Did the American Rescue Plan Cause Inflation? A Synthetic Control Approach

description: Replication Folder for "Did the American Rescue Plan Cause Inflation? A Synthetic Control Approach" by Dong Gyun Ko
DOI: 10.17632/z53d5k83k2
title: Cognitive Process

description: Cognition refers to a range of mental processes relating to the acquisition, storage, manipulation, and retrieval of information.
It underpins many daily activities, in health and disease, across the age span.
Cognition can be separated into multiple distinct functions, dependent on particular brain circuits and neuromodulators.
DOI: 10.6084/m9.figshare.17087756.v1
title: spatialRNAseq_heart_processed_suppdata.zip

description: Processed H&E images (JPG), tissue spot position list (CSV), and scale factor (JSON) files for 10x Genomics Visium spatial transcriptomics experiments for reovirus infected heart tissues. These files are processed files which can directly loaded in Seurat/ scanpy with the count matrices for spatial trasncriptomics analysis. If you want to realign the sequecning data, please download the rawsuppdata (ZIP) instead.<br>
DOI: 10.6084/m9.figshare.24328903.v1
title: Supplementary Data for 'The Influence of Future Changes in Tidal Range, Storm Surge, and Mean Sea Level on the Emergence of Chronic Flooding'.

description: This repository contains supplementary data generated as part of the study 'The Influence of Future Changes in Tidal Range, Storm Surge, and Mean Sea Level on the Emergence of Chronic Flooding' by Ben Hague and Stefan Talke (Earth's Future). The data are described in the manuscript and its supplementary material. Please cite this manuscript when using these data.
DOI: 10.17632/z7rgf54jd6
title: Natri et al. 2021, AJHG, methylQTL nominal statistics

description: Natri et al. 2021, AJHG. Nominal test statistics for all SNPs tested for the permutation-significant methylQTLs.
DOI: 10.6084/m9.figshare.12780815.v1
title: data set.pdf

description: data on cell proliferation, apoptosis,
DOI: 10.6084/m9.figshare.21632096.v1
title: caudal MNs

description: caudal MNs
DOI: 10.6084/m9.figshare.27873204.v5
title: Soil organic carbon increases with decreasing microbial carbon use efficiency during vegetation restoration-dataset

description: The dataset of "Soil organic carbon increases with decreasing microbial carbon use efficiency during vegetation restoration."
DOI: 10.6084/m9.figshare.7717043.v1
title: Additional file 3: of Are malaria elimination efforts on right track? An analysis of gains achieved and challenges ahead

description: Table S2. Treatment failure rate (median) for P. vivax in malaria endemic countries on the basis of studies after the year 2010. (XLS 60 kb)
DOI: 10.17632/mnjcscf28t
title: Results of soil surface deformation measurements after water drops impact at different temperature conditions made with a surface scanner
DOI: 10.6084/m9.figshare.21505314.v1
title: Data Neonatal Sepsis.sav

description: spss file of neonatal sepsis original article
DOI: 10.6084/m9.figshare.4640098.v1
title: RMG-Cat version 1.0 examples for automated reaction mechanism generation of heterogeneous catalysis

description: Files accompanying a manuscript describing the open-source software RMG-Cat, the version of Reaction Mechanism Generator modified for Heterogeneous Catalysis. We demonstrate its use in building a micro-kinetic model for the dry reforming of methane on nickel. Included are the input files, output files, and a Jupyter Python notebook containing all the post-processing needed to generate the figures, and the figures.