cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29137121.v1
title: GW-XGBoost.py

description: Geographically Weighted XGBoost (GW-XGBoost): A Novel Hybrid Approach for Exploring the Relationship between Extreme Climate Events and NDVI Variability
DOI: 10.15468/dl.xdvxgu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((33.4566 -25.7816,35.1352 -25.1504,26.9648 -25.1504,26.9648 -34.0826,27.209 -34.0314,28.1962 -33.4486,30.3395 -31.6744,31.7308 -29.6968,32.7846 -28.846,33.3559 -27.1274,33.4566 -25.7816))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013323-250525065834625/datasets/export for details.
DOI: 10.25405/data.ncl.12443531.v1
title: Enhanced CO<sub>2</sub> separation via molten-carbonate membranes with freeze-cast, porous ceramic supports

description: File name: Figure 1a: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-56File name: Figure 1b: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-66File name: Figure 1c: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-60(ZRA)File name: Figure 1d: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for CGOFile name: Figure 4YSZ-56: CO2 permeances as a function of temperature for YSZ-56File name: Figure 4YSZ-66: CO2 permeances as a function of temperature for YSZ-66File name: Figure 4YSZ-60: CO2 permeances as a function of temperature for YSZ-60(ZRA)File name: Figure 4CGO: CO2 permeances as a function of temperature for CGO<br>The CO2 permeances used in Figure 6 come from the same data as in Figure 4. The literature data have been taken from the corresponding references.<br>
DOI: 10.6084/m9.figshare.11530665.v1
title: SheepGenomesDB run2 - list of animals

description: A list of all 935 animals used in run2 of the SheepGenomesDB (SGD). Featured are SGD_ID, SRA_sample, SRA_acc.
DOI: 10.17632/2pybr7f7yc
title: CRCCD_V1 (Colorectal Cancer Classification and Detection)

description: Colorectal Cancer Classification and Detection(CRCCD_V1). This data is collected from SUM Hospital, SOA University of Medical Science, Bhubaneswar, Odisha, India. Data is collected after all the institutional formalities and permissions from the Ethical Committee. Data is authenticated by the doctors of Gastroenterological Department. This data collection is possible by the collaboration of GIET university with SOA Institute of Medical Sciences, SUM Hospital. The dataset contains 8750 colorectal images in total having two sets: Train set and Test Set. Train set contains 7000 colorectal images consisting of 14 classes, each class having 500 images. Test set contains 1750 images consisting of 14 classes, each class having 125 images.
DOI: 10.17632/s3jd9rfw8z
title: Data for: Women’s Sexual Strategies in Pregnancy
DOI: 10.6084/m9.figshare.12624680.v1
title: Supplementary_Table_S1_J_Ecol.xlsx

description: Table compiling all functions measured in EMF studies of our review.
DOI: 10.6084/m9.figshare.24086037.v4
title: Deciphering molecular inputs to CRH neurons from POMC neurons

description: Classical neurophysiological studies have provided great insights into the adaptive role of stress hormones in energy homeostasis and survival-related behaviors in responses to external and internal threats. More recent viral tracing studies revealed that physically restrained activated mouse corticotropin-releasing hormone neurons (CRHNs) in the paraventricular nucleus (PVN) of the hypothalamus have direct synaptic input from proopiomelanocortin (POMC) neurons in the hypothalamic arcuate nucleus (ARC), which is known to be associated with satiety. <b>However</b>, the regularity mechanism underlying these complex neural connections remains to be fully elucidated.<b>In this study</b>, we have leveraged a bioinformatic approach to understand cell-cell communication by analyzing publicly available single-cell RNA sequencing (scRNA-seq) datasets and uncovered a dominance of glutamatergic signaling in POMC-CRHNs interactions. This was further confirmed by viral tracing experiments, indicating that restraint-activated POMC neurons primarily employ glutamatergic marker expression. Our study provides and comprehensive understanding of molecular mechanisms underpinning glutamatergic signaling in POMC-CRHNs<sup> </sup>in stress-responsive networks.<br>
DOI: 10.6084/m9.figshare.25810591.v1
title: CC-5G

description: CC-5G investigates the impact of different treatment on the gut microbiota in Clostridioides difficile infection. Fecal samples from mice post-infection were processed using Invitrogen with sequencing on the Ion Torrent NGS System. Analysis via Ion Reporter SW (16S) revealed shifts in microbial taxa dynamics over days 1, 3, and 6, shedding light on the potential of probiotics in modulating gut microbiota during C. difficile infection.The identification of the sample CC-5G:<br>C: Denotes the strain ST-2 of Clostridioides difficile.<br>C: Represents timepoint 2, indicating sampling after C. difficile infection.<br>3: Refers to the specific mouse number under investigation.<br>G: Indicates the treatment administered, which in this case is without.
DOI: 10.6084/m9.figshare.25962691.v1
title: Data for the manuscript: Graph-based 3D spatial gene neighborhood networks in gel-embedded single cells

description: The dataset contains detected transcripts in mesenchymal stem cells (MSCs) cultured in hydrogel (hydrogel_df.csv) and detected transcripts in MSC-peripheral blood mononuclear cells (PBMCs) coculture in Cultrex gel.
DOI: 10.17632/zs9vkk7sb7
title: Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study Dataset

description: We conducted a systematic mapping study to address and survey the issues of using Natural Language Processing (NLP) in the domain of Requirements Engineering (RE), as a new sub-field of RE research known as NLP4RE studies. The attached datasets represent the references and metadata for the 404 selected and included NLP4RE studies, and a separate document to list all of the unique venues for publishing these studies. For citing the full paper, please use the reference below: @article{zhao2020natural, title={Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study}, author={Liping Zhao and Waad Alhoshan and Alessio Ferrari and Keletso J. Letsholo and Muideen A. Ajagbe and Erol-Valeriu Chioasca and Riza T. Batista-Navarro}, year={2020}, journal = {ACM Computing Surveys} } Liping Zhao, Waad Alhoshan, Ferrari Alessio, Keletso Letsholo, Muideen Ajagbe, Erol-Valeriu Chioasca, and Riza Batista-Navarro. Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study. ACM Computing Surveys, 2020.
DOI: 10.17632/ztxbdzhdws
title: Dataset for deposit rural banks in Indonesia

description: The raw dataset comprises deposit-related information from Indonesian rural banks, covering the period 2021 to 2024. Obtained from official banking reports, the dataset includes 608 weekly observations across four depositor categories: corporate, rural banks (BPR), high-net-worth individuals (HNWI), and retail.
DOI: 10.6084/m9.figshare.1246457.v1
title: caja OIT

description: HOJA DE CONTROL DE LA CAJA DE HERRAMIENTAS DE CONTROL QUIMICO PEROXIDO DE HIDROGENO
DOI: 10.6084/m9.figshare.17110610.v2
title: Case study 1. Classical MDS analysis of CH2NH2+ dynamics

description: The data for classical MDS analysis of CH2NH2+ dynamics
DOI: 10.6084/m9.figshare.21432612.v1
title: data zelezo OTS_LVAD_2021_anonymized.xlsx

description: Data set on patients with advanced heart failure. We focused on iron deficiency parameters.
DOI: 10.6084/m9.figshare.22757078.v1
title: The field gravity and magnetic data of the ore concentration area in the middle and lower reaches of the Yangtze River.rar

description: Geophysical surveys were conducted around the study area, mainly consisting of 1:20,0000 gravity and 1:5,0000 high-precision aeromagnetic surveys. The field gravity and magnetic data are comprehensive reflections of the subsurface and the surrounding geological bodies. To obtain the gravity and magnetic responses of subsurface geological bodies, the measured gravity and aeromagnetic data need to be corrected, the gravity data need to be corrected for mixed zero drift, latitude, intermediate layer, and topography, and the aeromagnetic data need to be corrected for integrated effects, normal field, daily variation, and compensation and equalization to obtain the Bouguer gravity anomaly and magnetic anomaly
DOI: 10.6084/m9.figshare.28040843.v1
title: Supplementary Material for: A Novel In Vivo Rat Mesentery Model for Studying Tumor Spheroid-Induced Microvascular Remodeling

description: Introduction: The tumor microenvironment is comprised of neoplastic cells and a variety of host cell types. Investigation of cell dynamics within this environment has motivated in vitro and ex vivo biomimetic model development. Our lab recently introduced the tumor spheroid-rat mesentery model to investigate cancer-induced lymphatic/blood vessel remodeling. To validate the physiological relevance of this model, the objective of this study was to determine the effect of tumor spheroids on microvascular remodeling after transplantation onto rat mesenteric. 
Methods: Spheroids derived from H1299 lung cancer cells were seeded onto rat mesenteric tissues during a survival surgical procedure. Tissues were harvested 3-5 days post-seeding and stained with PECAM and LYVE-1 to identify blood and lymphatic vessels respectively. 
Results: At all timepoints, cancer cells remained adhered to the tissue. Tissues seeded with tumor spheroids were shown to have increased vascular density, capillary sprouting, and tortuosity compared to sham tissues exposed to sterile saline only. Tumor spheroids also induced the formation of lymphatic/blood vessel connections and LYVE-1 negative protrusions emerging from lymphatic vessels. 
Conclusion: Overall, this study underscores the use of in vivo modeling to aid in the discovery of novel vascular growth dynamics and offers new methodologies for studying tumor-induced remodeling.
DOI: 10.6084/m9.figshare.28327118.v3
title: Data for "A neural mechanism for learning from delayed postingestive feedback"

description: Data for "A neural mechanism for learning from delayed postingestive feedback"Github: https://github.com/cazimmerman/cta<br>bioRxiv: https://doi.org/10.1101/2023.10.06.561214Nature: https://doi.org/10.1038/s41586-025-08828-z
DOI: 10.17632/jxy2hh7yny
title: Non-thermal Shearing Effect on Protein Conformation of Gluten Base for Plant-based Anisotropic Structures - DATASET

description: Relevant raw data of the article named "Non-thermal Shearing Effect on Protein Conformation of Gluten Base for Plant-based Anisotropic Structures". The reader is referred to the "MAterial and Methods" of the article to understand how to use the data provided.
DOI: 10.17632/szmfkhyjpd
title: Subacute Stroke Gait biomechanics data

description: The spatiotemporal parameters were measured using Steadys system (Neurosoft, Ivanovo, Russia). Seven inertial sensors were fixed on participant’s pelvis, thighs, ankles, and feet. Each sensor recorded spatiotemporal parameters, joint amplitudes and functional EMGs of lower limb muscles.
All participants walked a 10-meter distance, making turns at the end of the distance, and continued walking without stopping until 30–40 gait cycles were accumulated for each leg. The Steadys automatic algorithm discarded steps at the beginning and end of walking, acceleration and deceleration of walking speed, as well as any other unsteady steps (loss of balance, stumbles), leaving only well-recorded gait cycles. As a result of registration, a standard report was obtained containing the spatiotemporal parameters of the gait cycle for each leg, sagittal kinematic parameters for hip, knee, and ankle joints, as well as profiles of the electrical activity of four muscles: quadriceps femoris, hamstring, tibialis anterior, and triceps surae.
DOI: 10.6084/m9.figshare.23803461.v1
title: Persimmon image dataset

description: This persimmon image dataset consists of 800 training set and 200 validation set. This dataset had been used to train CNN for a low-cost machine vision system designed to flip the persimmons automatically in the real persimmon industry.The size of the training images : 416 x 416The size of the validation images : 3024 x 4032 (non-resizing images)
DOI: 10.6084/m9.figshare.29108885.v1
title: FGD and IDI guide.docx

description: This document was used to conduct Focus Group Discussions (FGD) and In-Depth Interviews among the research participants to assess their views and perspectives on healthcare services provided to a Particularly Vulnerable Tribal Group (PVTG) in Southern India and to identify the barriers and facilitators contributing to the utilization of healthcare services by them.
DOI: 10.6084/m9.figshare.10025129.v1
title: Wu et al., 2019, YR Sed

description: The datasets including sediment, delta evolution, elevation, population, temperature, precipitation and percentage of paleosol and loess in Wu et al., 2019.
DOI: 10.6084/m9.figshare.21225467.v3
title: Ormosia emarginata and Ormosia semicastrata genomes and annotation

description: Genome and gene annotation
DOI: 10.6084/m9.figshare.21786140.v1
title: Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

description: Since TLS data is too big to upload, the dataset can only contain the example ULS point cloud data in different forest types (i.e., coniferous, mixed broadleaf-coniferous, broadleaf) before coarse-to-fine registration. The fused TLS and ULS data after registration can be used for the estimation of individual tree parameters (i.e., DBH and tree height) . B-1ULS and B-3ULS represent the ULS data of plot 1 and 3 in broadleaf forests, respectively; C-2ULS and C-4ULS represent the ULS data of plot 2 and 4 in coniferous forests, respectively; M-1ULS and M-2ULS represent the ULS data of plot 1 and 2 in mixed broadleaf-coniferous forests, respectively.
DOI: 10.6084/m9.figshare.22774433.v3
title: Replication Package for ASE 2023 Submission "Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem"

description: This is the replication package for our ASE 2023 Submission <em>*</em> Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem <em>*</em>.
DOI: 10.6084/m9.figshare.28322429.v1
title: Supplementary Material for: Interpretation of change in novel digital measures: a statistical review and tutorial

description: Background
Novel clinical measures assessed by a digital health technology tool require thresholds to interpret change over time, such as the minimal clinically important difference (MCID). Establishing such thresholds is a key component of clinical validation, facilitating understanding of relevant treatment effects.

Summary
Many of the approaches to derive interpretative thresholds for patient-reported outcomes can be applied to digital clinical measures. We present theoretical background to the use of interpretative thresholds, including the distinction between thresholds based on perceived importance versus measurement error, and thresholds for group- versus individual-level interpretations. We then review methods to estimate such thresholds, including anchor-based approaches. We illustrate the methods using data on cough frequency counts as measured by a wearable device in a clinical trial.

Key Messages
This paper provides an overview of statistical methodologies to estimate thresholds for the interpretation of change.
DOI: 10.6084/m9.figshare.28645898.v2
title: The global health burden of pediatric chronic kidney disease: An analysis of the Global Burden of Disease database from 1990 to 2021 supplemental data

description:  This study investigates the global burden of pediatric chronic kidney disease (CKD) from 1990 to 2021 using data from the Global Burden of Disease (GBD) 2021 database. Focusing on CKD caused by type 1 and type 2 diabetes mellitus, hypertension, glomerulonephritis, and congenital anomalies of the kidney and urinary tract (CAKUT), the analysis examines incidence, prevalence, mortality, and disability-adjusted life years (DALYs) across age, sex, geography, and socio-demographic index (SDI) levels.
DOI: 10.6084/m9.figshare.5577367.v1
title: Length of persister, viable but non-culturable, susceptible lysed, susceptible not lysed, and untreated control E. coli

description: Length of viable but non-culturable (VBNC), persister , susceptible not lysed and susceptible lysed <i>E. coli</i> before (<i>t</i>=0), during (0&lt;<i>t</i>&lt;3 h), and after treatment (3&lt;<i>t</i>&lt;24 h) with ampicillin at a concentration of 25×Minimum inhibitory concentration (MIC) in Lysogney Broth (LB). Length of untreated control cells were obtained in separate experiments where bacteria were provided with LB only, without ampicillin, from t=0 onwards.
DOI: 10.17632/nzh3dhmd87
title: Dataset of terpene content fluctuation in terpene-infused pre-rolled cones to changes in surroundings temperature, humidity, and light exposure

description: Terpene is a volatile compound, which commonly infused to provide flavor in pre-rolled cones. During storage time, the content of infused terpene can decrease due to the impact of storage conditions, including temperature, light intensity, and humidity. This dataset contains the data on the fluctuation of terpene content in pre-rolled cone paper after subjected to different magnitude of temperature, humidity, and light flux intensity. The terpene content was measured by employing colorimetric procedure: terpene was extracted from the pre-rolled cone paper using chloroform and then reacted with sulfuric acid to form reddish-brown precipitate, which has maximum absorbance at a wavelength of 538 nm. Using the colorimetric procedure, the amount of terpene lost during storage can be determined. The elevation of temperature and light intensity cause the acceleration of terpene lost. In contrary, high humidity level can help in maintaining the terpene content.
DOI: 10.6084/m9.figshare.19398641.v1
title: Colorectal Cancer: Some Variables Commonly Measured in Clinical Practice

description: Where? Dataset was collected retrospectively from the Third Surgical Clinic, "Prof. Dr. Octavian Fodor" Regional Institute of Gastroenterology and Hepatology Cluj-Napoca (https://www.irgh.ro/ro/), Romania.<br> What? Patients with colorectal cancer documented through histopatological examination <br> When? Patients treated in the above clinic from January 2014 to September 2019.
DOI: 10.6084/m9.figshare.19603879.v1
title: XRD data of ZnO-nanostructure

description: X-ray diffraction (XRD) was used to determine the crystalline structure and grain sizes of the synthesized ZnO NPs. The intensity data were recorded over a 2θ range of 10−60<sup>o</sup>. The strongest diffraction peaks observed at 2θ values of 31.92°, 34.62°, 36.44°, 47.74°, and 56.76° have been indexed as (100), (002), (101), (110) and (103) crystal planes of ZnO, respectively.
DOI: 10.6084/m9.figshare.7996925.v1
title: Additional file 8: of Selective translational usage of TSS and core promoters revealed by translatome sequencing

description: Table S5. Comparison of genes’ abundance between translatome and transcriptome. “Ep”, “Et” and “Sfc” are all defined in the main text. “p-value” and “q-value” are calculated with the R package of DEGseq. Genes are ranked by the q-value. Genes with too few reads to calculated the p-values are removed from this table. (XLSX 925 kb)
DOI: 10.17632/7bk36mh3tc
title: The raw dataset of physical and chemical properties of Krishnagiri district soil

description: One hundred twenty-five soil samples were collected from the study area of Krishnagiri district. Using standard procedures, the soil samples were analyzed for pH, EC, texture, SOC, and available NPK. This data is further converted as a shape layer file from a CSV file. All the soil parameters are converted into layers and generated as a thematic map by the kriging method.
DOI: 10.17632/tx6vmd4g9p
title: Environmental Due Diligence Data

description: Environmental due diligence data consists of data evaluating environmental conditions and preparing remedial plans in accordance with the guidelines by regulatory bodies to help in determining the impact on the environment due to contamination.

The EPA dataset has 12 categories: Contaminants, Contaminated media, Depth to Water, Extent of contamination, Geology, Groundwater-Surfacewater interaction, GW Velocity, Remediation Activities, Remediation Goals, Remediation Standards, Source of contamination, Not Relevant. All of these categories are also present in the Augmented dataset, with the exception of the Not Relevant category. The Dataset consists of 1576 sentences totally. 

How to use it?
1. Unzip the compressed files
2. There are two datasets: Environmental Due Diligence Data [EPA], Environmental Due Diligence Data [Augmented]
3. Each dataset contains data corresponding to the EDD categories
DOI: 10.17632/ypzswhhzh9
title: Pneumatic Pressure and Electrical Current Time Series in Manufacturing

description: Obtained at a real-world discrete manufacturing shopfloor, the dataset contains measurements of pneumatic pressure and electrical current. The dataset contains 7 days of operation, spanning roughly 150 processed pieces. The dataset contains time series pre-segmented at points in time where the internal state-machine of the observed process changes, i.e. at points in time when the machine transitions from one operation to the next. The labels contained within the dataset enable the application of supervised learning algorithms such as time series classification, as well as validation of unsupervised approaches such as time series clustering.

The observed process is an end-of-line testing machine for consumer-grade small electric drive assembly (device under test – DUT). The machine takes several actions to evaluate each DUT, the measurements present in this dataset observe the pneumatic pressure powering actuators and the electrical current activating them. The data is pre-segmented using the testing machines internal state machine. Each segment corresponds to single action performed by the testing station in the process of manipulating the piece under observation.

The segments contained in the dataset indicate characteristic pressure and current signatures for each action performed. This enables the dataset to be used in the design of time series algorithms aimed at non-invasive monitoring of (discrete) industrial processes.
DOI: 10.6084/m9.figshare.1257764.v1
title: ChEMBL and SureChEMBL - a brief overview

description: An overview of the cheminformatics resources ChEMBL and SureChEMBL
DOI: 10.6084/m9.figshare.27047782.v1
title: Notes from Family Vlogging and Children’s Health Information Through the Lens of Communication Privacy Management Theory Thematic Analysis

description: Notes from thematic analysis.