cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fhkx6j8ndt.1
title: Sexual and Reproductive Health Issues among Married Working Women in Jaipur, India: A Mixed-Methods Dataset

description: This dataset is part of a mixed-methods research study exploring sexual and reproductive health (SRH) issues faced by married working women aged 21–49 employed in academic institutions in Jaipur city, India. The quantitative component includes structured survey responses from 104 participants collected through stratified random sampling, capturing demographic profiles, menstrual and reproductive health status, contraceptive use, health-seeking behavior, and work-life balance. The qualitative component consists of anonymized interview excerpts that provide deeper insights into women's lived experiences, sociocultural constraints, and coping mechanisms regarding SRH concerns.
The dataset aims to contribute to gender-sensitive health research and policy interventions focused on urban working women’s health in India.

Keywords: Sexual and reproductive health, working women, India, gender and health, mixed-methods, Jaipur, Working women, menstrual health, contraception, reproductive autonomy, qualitative interviews
DOI: 10.17632/mrb5kv4xz9
title: Supplemental materials Table S and Data availability statement

description: Supplemental materials Table S and Data availability statement of manuscript Harrisonia perforata (Blanco) Merr._MS_PI
DOI: 10.17632/mrb5kv4xz9.1
title: Supplemental materials Table S and Data availability statement

description: Supplemental materials Table S and Data availability statement of manuscript Harrisonia perforata (Blanco) Merr._MS_PI
DOI: 10.17632/c8x65r4n35
title: Data for: Resveratrol Targeting Smad4 as a Double-edged Sword Regulate Stem Cells-Mediated Regeneration

description: RSV (CAS Number 501-36-0) was purchased from Aladdin and dissolved in DMSO (CAS Number 67-68-5), which was purchased from Thermo Scientific to obtain a stock solution. The stock solution was freshly diluted with artificial water to a final concentration of 1% DMSO. Based on preliminary experiments, we selected 5 μM and 50 μM as the concentrations for RSV exposure, with a control group (DMSO concentration &lt;1%, which does not harm the worms) run in parallel. In this experiment, planarians were placed in RSV-containing solutions at 20°C in the dark for 72 hours, with the solution renewed daily. At the end of the experiment, morphology and blastema size were recorded. Three replicates were set up for each group. Total RNA was extracted and sent to the BGI Genomics Institute for RNA sequencing (Shenzhen, China). The data were analyzed by the National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov/).
DOI: 10.17632/c8x65r4n35.1
title: Data for: Resveratrol Targeting Smad4 as a Double-edged Sword Regulate Stem Cells-Mediated Regeneration

description: RSV (CAS Number 501-36-0) was purchased from Aladdin and dissolved in DMSO (CAS Number 67-68-5), which was purchased from Thermo Scientific to obtain a stock solution. The stock solution was freshly diluted with artificial water to a final concentration of 1% DMSO. Based on preliminary experiments, we selected 5 μM and 50 μM as the concentrations for RSV exposure, with a control group (DMSO concentration &lt;1%, which does not harm the worms) run in parallel. In this experiment, planarians were placed in RSV-containing solutions at 20°C in the dark for 72 hours, with the solution renewed daily. At the end of the experiment, morphology and blastema size were recorded. Three replicates were set up for each group. Total RNA was extracted and sent to the BGI Genomics Institute for RNA sequencing (Shenzhen, China). The data were analyzed by the National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov/).
DOI: 10.17632/8hbb2w9fn7.1
title: Green Roof temperature dataset

description: Green roof vs other roof types measurements in September 2019.
DOI: 10.17632/pnndxj662c
title: Computer Application for Statistical Mirroring-Based Ordinalysis

description: The Statistical Mirroring-Based Ordinalysis [3] Application (SM-Based Ordinalysis Application) is a computer tool designed for descriptive analysis of ordinal data (numerically encoded and homogeneous ordinal scores) using statistical mirroring-based ordinalysis methodology. 
A user-friendly interface facilitates in-depth analysis of ordinal assessment data, including estimates of how closely or distant an individual’s composite set of ordinal assessment scores is to the highest positive ordinal scale point. Utilizing statistical mirroring [2], and Kabirian-based isomorphic optinalysis [1], the application allows users to select preprocessing parameters and compute estimates based on the task needs. 
Users can enter ordinal score manually and directly or upload CSV or Excel files, choose analysis parameters, and generate detailed results. The SM-Based Ordinalysis Application's intuitive design and powerful features make it an essential resource for researchers, students, and professionals seeking to explore and describe ordinal assessment data effectively. Its broad applicability spans areas such as survey data analysis, clinical assessments, psychometrics, market research, and public health studies, where ordinal data are commonly encountered. 

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682 
[3] K.B. Abdullahi, Statistical mirroring-based ordinalysis: A sensitive, robust, efficient, and ordinality-preserving descriptive method for analyzing ordinal assessment data, MethodsX 14 (2024) 103427. https://doi.org/10.1016/j.mex.2025.103427
DOI: 10.17632/pnndxj662c.3
title: Computer Application for Statistical Mirroring-Based Ordinalysis

description: The Statistical Mirroring-Based Ordinalysis [3] Application (SM-Based Ordinalysis Application) is a computer tool designed for descriptive analysis of ordinal data (numerically encoded and homogeneous ordinal scores) using statistical mirroring-based ordinalysis methodology. 
A user-friendly interface facilitates in-depth analysis of ordinal assessment data, including estimates of how closely or distant an individual’s composite set of ordinal assessment scores is to the highest positive ordinal scale point. Utilizing statistical mirroring [2], and Kabirian-based isomorphic optinalysis [1], the application allows users to select preprocessing parameters and compute estimates based on the task needs. 
Users can enter ordinal score manually and directly or upload CSV or Excel files, choose analysis parameters, and generate detailed results. The SM-Based Ordinalysis Application's intuitive design and powerful features make it an essential resource for researchers, students, and professionals seeking to explore and describe ordinal assessment data effectively. Its broad applicability spans areas such as survey data analysis, clinical assessments, psychometrics, market research, and public health studies, where ordinal data are commonly encountered. 

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682 
[3] K.B. Abdullahi, Statistical mirroring-based ordinalysis: A sensitive, robust, efficient, and ordinality-preserving descriptive method for analyzing ordinal assessment data, MethodsX 14 (2024) 103427. https://doi.org/10.1016/j.mex.2025.103427
DOI: 10.17632/hjkzgbxgv5.1
title: A Dataset on Demographic and Lifestyle Factors for Prognosticating Chronic Kidney Disease Progression in Diabetic Patients

description: This dataset, collected from BIRDEM General Hospital, Dhaka, presents a comprehensive compilation of demographic and lifestyle factors for predicting the development of Chronic Kidney Disease (CKD) in diabetic patients. It includes health records from 400 individuals, 185 diagnosed with CKD and 215 without, all of whom have been living with diabetes for over a decade. The data was carefully collected, cleaned, and authenticated under the direct supervision of Dr. Rafi Nazrul, a nephrologist at BIRDEM.

Ethical approval was obtained from the Ethical Review Committee (ERC) of the Diabetic Association of Bangladesh (BADAS), and a structured questionnaire was used to gather relevant demographic and non-invasive lifestyle data. The feature set was curated through an iterative process, combining prior research findings with expert input from diabetologists and nephrologists to ensure clinical validity and applicability.

The dataset includes variables such as gender, job type, family history of diabetes, age, BMI, comorbidities (e.g., hypertension, heart disease), and lifestyle habits (diet adherence, physical activity, smoking, water intake), along with detailed dietary intake to estimate daily calorie consumption. These easily accessible, non-invasive factors recorded longitudinally through patients’ diabetes record books, which will allow researchers to explore and model the trajectory of CKD development over a 10-year span, offering early insights into risk prediction and disease progression, particularly in resource-constrained healthcare settings.
DOI: 10.17632/x45wvbd3sv
title: Python Code for Statistical Mirroring-based Ordinalysis

description: Statistical mirroring-based ordinalysis (SM-based ordinalysis) measures the proximity or deviation of an individual's composite set of ordinal assessment scores from the highest positive ordinal scale point [3]. Within the framework of Kabirian-based optinalysis [1] and statistical mirroring [2], Statistical mirroring-based ordinalysis is conceptualized as the isoreflectivity (isoreflective pairing) of the composite set of ordinal assessment scores of an individual to the highest positive ordinal scale point of an established ordinal assessment scale, under customized and optimized choice of parameters. This represents the underlying assumption of statistical mirroring-based ordinalysis. 

The process of Statistical mirroring-based ordinalysis comprises three distinct phases: 
a) Adaptive customization and optimization phase [3]: This phase represents the core of the methodology. This involves the adaptive customization and optimization of parameters to suit the requirements for statistical mirroring estimation in the given task [3]. 
b) Statistical mirroring computation phase [2]: This involves applying the adopted statistical mirroring type based on the phase 1 adaption. 
c) Optinalytic model calculation phase [1]: This phase is focused on computing estimates (such as the Kabirian coefficient of proximity, the probability of proximity, and the deviation) based on Kabirian-based isomorphic optinalysis models. 

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682 
[3] K.B. Abdullahi, Statistical mirroring-based ordinalysis: A sensitive, robust, efficient, and ordinality-preserving descriptive method for analyzing ordinal assessment data, MethodsX 14 (2024) 103427. https://doi.org/10.1016/j.mex.2025.103427
DOI: 10.17632/x45wvbd3sv.2
title: Python Code for Statistical Mirroring-based Ordinalysis

description: Statistical mirroring-based ordinalysis (SM-based ordinalysis) measures the proximity or deviation of an individual's composite set of ordinal assessment scores from the highest positive ordinal scale point [3]. Within the framework of Kabirian-based optinalysis [1] and statistical mirroring [2], Statistical mirroring-based ordinalysis is conceptualized as the isoreflectivity (isoreflective pairing) of the composite set of ordinal assessment scores of an individual to the highest positive ordinal scale point of an established ordinal assessment scale, under customized and optimized choice of parameters. This represents the underlying assumption of statistical mirroring-based ordinalysis. 

The process of Statistical mirroring-based ordinalysis comprises three distinct phases: 
a) Adaptive customization and optimization phase [3]: This phase represents the core of the methodology. This involves the adaptive customization and optimization of parameters to suit the requirements for statistical mirroring estimation in the given task [3]. 
b) Statistical mirroring computation phase [2]: This involves applying the adopted statistical mirroring type based on the phase 1 adaption. 
c) Optinalytic model calculation phase [1]: This phase is focused on computing estimates (such as the Kabirian coefficient of proximity, the probability of proximity, and the deviation) based on Kabirian-based isomorphic optinalysis models. 

References:
[1] K.B. Abdullahi, Kabirian-based optinalysis: A conceptually grounded framework for symmetry/asymmetry, similarity/dissimilarity, and identity/unidentity estimations in mathematical structures and biological sequences, MethodsX 11 (2023) 102400. https://doi.org/10.1016/j.mex.2023.102400 
[2] K.B. Abdullahi, Statistical mirroring: A robust method for statistical dispersion estimation, MethodsX 12 (2024) 102682. https://doi.org/10.1016/j.mex.2024.102682 
[3] K.B. Abdullahi, Statistical mirroring-based ordinalysis: A sensitive, robust, efficient, and ordinality-preserving descriptive method for analyzing ordinal assessment data, MethodsX 14 (2024) 103427. https://doi.org/10.1016/j.mex.2025.103427
DOI: 10.15468/dl.j3cqtz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sophora fernandeziana var. fernandeziana",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049692-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fx79vmhj4x.2
title: GOTHIC SONG LYRICS AND IT'S CULTURAL IMPACT

description: Gothic culture is a subculture characterized by:

Key Features
1. *Aesthetics*: Dark, mysterious, and often Victorian or medieval-inspired fashion, music, and art.
2. *Music*: Gothic rock, industrial, and darkwave music genres.
3. *Themes*: Death, love, loss, and existential crises are common themes.
4. *Community*: Goths often form close-knit communities, sharing interests and values.

Isolation
While some Goths might experience social isolation due to:

1. *Mainstream misunderstanding*: Gothic culture can be misunderstood or stigmatized by mainstream society.
2. *Niche interests*: Goths may find it challenging to connect with people outside their subculture.

However, many Goths find a sense of belonging and community within the Gothic subculture.

Connection to Others
Goths often connect with like-minded individuals through:

1. *Music festivals*: Events like Wave Gotik Treffen or Whitby Gothic Weekend.
2. *Online forums*: Social media groups, forums, and online communities.
3. *Local meetups*: Goth clubs, cafes, or meetups.

Gothic culture can provide a sense of belonging and identity for those who resonate with its themes and aesthetics.
DOI: 10.17632/c27zx69shc.2
title: Aesthetic development in a written poem for enhancing articulation and etiquette., Volume-2

description: Poems are having much more hidden meanings. The hidden meanings that are attributed to the poem "THE SPY WHO LOVED ME" exposed below:
DOI: 10.17632/zpy7phww4b
title: Epoxide hydrolases are involved in the metabolism of 5(6)-epoxyeicosatrienoic acid

description: Epoxyeicosatrienoic acids (EETs) have garnered extensive research interest as crucial signaling mediators that regulate key biological processes, including inflammation, pain and angiogenesis. While the metabolism of 8(9)-, 11(12)-, and 14(15)-EET has been well established to be metabolized in the presence of epoxide hydrolases, primarily soluble epoxide hydrolase (sEH) and microsomal epoxide hydrolase (mEH), the fate of 5(6)-EET was previously thought to be limited to its spontaneous chemical conversion into 5,6-dihydroxyeicosatrienoic acid (5,6-DHET) lactone. Here, we reported that the metabolism of 5(6)-EET is also enzymatically regulated by both sEH and mEH, occurring in parallel with its chemical formation to 5,6-DHET lactone. Specifically, in an epoxide hydrolases-free system, 5(6)-EET was rapidly converted to 5,6-DHET lactone, whereas 14(15)-EET remained relatively stable. In contrast, in a cellular system, EPHX2 (encodes sEH) knockout and EPHX1 (encodes mEH) knockout significantly attenuated 5(6)-EET degradation, indicating that both sEH and mEH actively mediate the metabolism of 5(6)-EET. Moreover, we observed that 5(6)-EET underwent conversion to 5,6-DHET lactone within the cellular environment as well. This study provides direct evidence that enzymatic metabolism of 5(6)-EET by epoxide hydrolases occurs concurrently with its spontaneous chemical transformation. This study expands our understanding of 5(6)-EET metabolism and reveals a previously unrecognized role of epoxide hydrolases in modulating relevant biological fate.
DOI: 10.17632/zpy7phww4b.1
title: Epoxide hydrolases are involved in the metabolism of 5(6)-epoxyeicosatrienoic acid

description: Epoxyeicosatrienoic acids (EETs) have garnered extensive research interest as crucial signaling mediators that regulate key biological processes, including inflammation, pain and angiogenesis. While the metabolism of 8(9)-, 11(12)-, and 14(15)-EET has been well established to be metabolized in the presence of epoxide hydrolases, primarily soluble epoxide hydrolase (sEH) and microsomal epoxide hydrolase (mEH), the fate of 5(6)-EET was previously thought to be limited to its spontaneous chemical conversion into 5,6-dihydroxyeicosatrienoic acid (5,6-DHET) lactone. Here, we reported that the metabolism of 5(6)-EET is also enzymatically regulated by both sEH and mEH, occurring in parallel with its chemical formation to 5,6-DHET lactone. Specifically, in an epoxide hydrolases-free system, 5(6)-EET was rapidly converted to 5,6-DHET lactone, whereas 14(15)-EET remained relatively stable. In contrast, in a cellular system, EPHX2 (encodes sEH) knockout and EPHX1 (encodes mEH) knockout significantly attenuated 5(6)-EET degradation, indicating that both sEH and mEH actively mediate the metabolism of 5(6)-EET. Moreover, we observed that 5(6)-EET underwent conversion to 5,6-DHET lactone within the cellular environment as well. This study provides direct evidence that enzymatic metabolism of 5(6)-EET by epoxide hydrolases occurs concurrently with its spontaneous chemical transformation. This study expands our understanding of 5(6)-EET metabolism and reveals a previously unrecognized role of epoxide hydrolases in modulating relevant biological fate.
DOI: 10.17632/jtwbww4z9k
title: Heart Disease

description: This dataset combines clinical records from heart disease studies, specifically integrating data from Cleveland and Hungary datasets. It’s structured to support the development and evaluation of machine learning models aimed at predicting the presence or absence of heart disease based on a series of patient health indicators.
DOI: 10.17632/jtwbww4z9k.1
title: Heart Disease

description: This dataset combines clinical records from heart disease studies, specifically integrating data from Cleveland and Hungary datasets. It’s structured to support the development and evaluation of machine learning models aimed at predicting the presence or absence of heart disease based on a series of patient health indicators.
DOI: 10.17632/ycy262288f
title: Subjective rating of ticklishness and pleasure of touch after video priming

description: The dataset contains information of how different people rate touch after they recieved either pleasant or unpleasant video priming. Columns A defines the type of priming the participant received. Columns B and C describe age and gender of the participant. Columns E to M present the participant's rating of the emotional response to the video they whatched. Column N describe their attitude to touch measured with TEAQ-37 Rus. Columns O to Z present averaged and normalized ratings of received touch with four different forces (stated in the headings).
DOI: 10.15468/dl.av3rcf
title: Occurrence Download

description: A dataset containing 141723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium carolinianum Michx., Ribes aciculare Sm., Ribes nigrum L., Ribes triste Pall., Ribes dicuscha Fisch.)",
 "Geometry POLYGON ((-180 45.53015, 180 45.53015, 180 83.62313, -180 83.62313, -180 45.53015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than or equal to 50000"
 ]
}

 The dataset includes 141723 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049687-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ycy262288f.1
title: Subjective rating of ticklishness and pleasure of touch after video priming

description: The dataset contains information of how different people rate touch after they recieved either pleasant or unpleasant video priming. Columns A defines the type of priming the participant received. Columns B and C describe age and gender of the participant. Columns E to M present the participant's rating of the emotional response to the video they whatched. Column N describe their attitude to touch measured with TEAQ-37 Rus. Columns O to Z present averaged and normalized ratings of received touch with four different forces (stated in the headings).
DOI: 10.17632/r4t8258k5c.3
title: Koushik_HCCD

description: Handwritten camera captured dataset
DOI: 10.17632/448sjftrb9
title: Increased weathering phosphorus inputs triggered the oceanic oxygenation during the Cryogenian interglacial period

description: Table S1-S3. Geochemical data from the Datangpo Formation in the Zuojiawan section and other referenced data
DOI: 10.17632/448sjftrb9.1
title: Increased weathering phosphorus inputs triggered the oceanic oxygenation during the Cryogenian interglacial period

description: Table S1-S3. Geochemical data from the Datangpo Formation in the Zuojiawan section and other referenced data
DOI: 10.17632/hc5jg3trjh.1
title: Narrative Forecasts

description: This is the repository for online appendix, data, and codes from the paper "Narrative Forecasts." 

See README file for a roadmap and a description of the content.
DOI: 10.6084/m9.figshare.29333234
title: active network analysis

description: These notebooks show the plotting of the datathe code is released on github. see my other projects
DOI: 10.6084/m9.figshare.29333234.v1
title: active network analysis

description: These notebooks show the plotting of the datathe code is released on github. see my other projects