cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/74rjx7w95v.1
title: আধুনিকতা ও অন্তর্দৃষ্টি: বাংলা ও ভারতীয় ইংরেজি কবিতার তুলনামূলক পর্যালোচনা

description: সারসংক্ষেপ:
এই গবেষণা প্রবন্ধে আধুনিক বাংলা কবিতা এবং ভারতীয় ইংরেজি কবিতার তুলনামূলক সাহিত্য বিশ্লেষণ উপস্থাপন করা হয়েছে। আধুনিক বাংলা কবিতা সমাজের পরিবর্তন, মানুষের নিঃসঙ্গতা, অবিচার ও জীবনসংগ্রামের প্রতিফলন ঘটায়। এই কবিতাগুলো মানুষের অনুভূতির সূক্ষ্ম প্রকাশ এবং প্রান্তিক জীবনের কষ্ট ও বেদনার কথা তুলে ধরে। অন্যদিকে, ভারতীয় ইংরেজি কবিতা আধুনিক জীবনের সংকট, ব্যক্তিক অভিজ্ঞতা ও ঐতিহ্যগত মূল্যবোধের সংঘাতকে কেন্দ্র করে গড়ে উঠেছে। এই কবিতাগুলো নাগরিক জীবনের নিঃসঙ্গতা, অস্তিত্বের দ্বন্দ্ব ও সাংস্কৃতিক অনুসন্ধানের বহিঃপ্রকাশ ঘটায়। প্রবন্ধে উল্লেখ করা হয়েছে কিভাবে রবীন্দ্রনাথ ঠাকুর থেকে শুরু করে আধুনিক কবিরা ভাষা ও ভাবনায় পরিবর্তনের পথ ধরে কবিতার নতুন মাত্রা নির্মাণ করেছেন। বিশেষভাবে, পঞ্চাশের দশকের বাংলা কবিতায় রোমান্টিকতা ও বাস্তবতার সমন্বয় ঘটেছে। পাশাপাশি, ভারতীয় ইংরেজি কবিতার বিকাশে পি. লাল, ডম মোরেস, এ কে রামানুজনদের অবদান অনস্বীকার্য। রামানুজনের কবিতায় ঐতিহ্য ও আধুনিকতার সম্মিলন বিশেষভাবে গুরুত্বপূর্ণ। এছাড়া, মীনা কান্দাসামির কবিতায় নারীবাদ ও সামাজিক ন্যায়বিচারের দিকটি তুলে ধরা হয়েছে। এই গবেষণা প্রবন্ধে আধুনিক কবিতার বহুমাত্রিকতা, ভাষার পরিবর্তন এবং সাংস্কৃতিক সংকটকে বিশ্লেষণ করা হয়েছে। এতে স্পষ্ট যে, বাংলা ও ইংরেজি কবিতা দুটি ভিন্ন সাংস্কৃতিক প্রেক্ষাপট থেকে উঠে এলেও উভয়ই মানবজীবনের জটিলতা ও অন্তর্দ্বন্দ্বকে প্রকাশ করে।
 সূচক শব্দ: আধুনিকতা, তুলনামূলক সাহিত্য, নিঃসঙ্গতা, ভাষা পরিবর্তন, সাংস্কৃতিক দ্বন্দ্ব।
ভূমিকা: 
কবিতা হলো সমাজ, সংস্কৃতি ও ব্যক্তিক অভিজ্ঞতার প্রতিচ্ছবি। সময়ের পরিবর্তন এবং সামাজিক রূপান্তরের ধারায় কবিতার ভাষা, বিষয়বস্তু ও শৈলী পরিবর্তিত হয়। আধুনিক বাংলা কবিতা মানুষের অন্তর্দুঃখ, বিচ্ছিন্নতা ও জীবনসংগ্রামের কথা তুলে ধরে, যেখানে কবি ব্যক্তিগত অনুভূতিকে সমাজের বৃহৎ প্রেক্ষাপটে তুলে ধরেন। অন্যদিকে, ভারতীয় ইংরেজি কবিতা ব্যক্তিক অন্তর্দ্বন্দ্ব, অস্তিত্বের সংকট ও ঐতিহ্যগত মূল্যবোধের বিচ্ছিন্নতাকে কেন্দ্র করে গড়ে উঠেছে। এই প্রবন্ধে উভয় সাহিত্যধারার তুলনামূলক বিশ্লেষণ উপস্থাপন করা হয়েছে, যেখানে কবিতার ভাষা, বিষয়বস্তু, শৈলী এবং সামাজিক বাস্তবতার আলোকে পার্থক্য ও মিল তুলে ধরা হয়েছে। এতে স্পষ্ট হয়েছে, কিভাবে আধুনিক কবিরা ভাষা ও চিন্তার মধ্য দিয়ে নতুন সাহিত্যিক ধারার জন্ম দিয়েছেন।
DOI: 10.15468/dl.p2tpzn
title: Occurrence Download

description: A dataset containing 26866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.30803 11.63045,-88.85516 7.22314,-88.53237 0.7673,-73.03836 -20.21417,-77.23465 -36.99935,-76.91186 -54.10732,-73.47842 -58.46864,-59.15831 -56.04407,-31.72099 -12.78996,-33.65774 -2.78341,-62.38623 14.32457,-64.96856 26.91345,-56.25318 37.24279,-50.44292 44.34421,-48.82896 54.67356,-54.31643 63.71173,-62.38623 71.45874,-61.74064 83.07925,-71.10161 85.98437,-166.32522 72.10432,-170.52152 56.28752,-163.4201 49.50889,-139.2107 50.47726,-128.23578 37.56558,-127.59019 33.36929,-127.2674 20.13482,-118.22923 11.41944,-106.30803 11.63045))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (6568c9e4-fdc6-4d73-a7ea-2d1bf44fcd61, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 78678140-1815-11da-9544-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862)",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)",
 "Year 1970-2025"
 ]
}

 The dataset includes 26866 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001217-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3kbvcwszx5.1
title: Estimating socioeconomic status for health equity surveillance in Cameroon: an expert opinion survey

description: Background: Despite increasing awareness of socioeconomic status’s (SES) association with health outcomes, there is no widely accepted and rapidly implementable estimation of SES measures in resource-limited settings. An exception is the Demographic and Health Surveys (DHS)’s wealth quintile index constructed from household ownership assets. To facilitate health equity surveillance, method of individual SES estimation requiring fewer number of household assets is needed. The objective of this study was to identify the DHS assets most relevant for measuring SES in Cameroon. 
Methods: Participants interviewed with a structured questionnaire included stakeholders involved in the design and implementation of DHS in Cameroon for many years. Using a 5-point Likert scale, experts graded DHS assets’ likelihood to measure SES. The questionnaire was strongly reliable (Cronbach’s alpha: 0.943, 95% CI: 0.920 - 0.961, p&lt;0.001) for using the 29 items retained to measure SES. 
Results: The probabilities of agreeing that an asset can be a useful measure of SES varied from 0.016 to 0.047. The 12 DHS assets most likely to measure SES included having Refrigerator(85.3%), Television(83.8%), Laptop(79.4%), Mixer(77.9%), Computer(77.9%), Agricultural land(77.9%), Cable/Satellite(76.5%), Cell phone(76.5%), Modem/Internet key(73.5%), Water pump(72.1%), Car/truck(72.1%) and Gas stove(72.1%) with a respective probability (prior) of 0.047, 0.046, 0.044, 0.043, 0.043, 0.043, 0.042, 0.042, 0.041, 0.040, 0.040 and 0.040. 
Conclusions: This research underscores the importance of integrating local expert insights to refine the measurement of SES, promoting improved health outcomes in populations, particularly in Cameroon. Future research should explore the application of this expert-opinion-driven framework in various contexts to create more comprehensive, robust, and reliable SES indicators.
Keywords: Prior Probability, Expert Opinion, Demographics and Health Survey, Socioeconomic Status, Health equity
DOI: 10.17632/scr79cbxxd.1
title: Dataset for machine learning based approximations of strip packing / nesting heights

description: Solving strip packing or nesting problems with highly irregular shapes is a complex and computation time intensive task. In some cases, it is adequate to estimate the strip height instead of solving the nesting problem completely. The file Nesting sample data.csv/*.xlsx consists of 88,200 (complex) nesting instances generated and used in the paper "Approximate anticipation of base-level reactions by machine learning techniques used to substitute the solving of complex nesting problems". The first 14 columns describe details of the nesting instances (e.g., item types used in the instance, the width of the object, used in which phase of the machine learning process etc.), whereat the column "Nesting Solution" is the computed height of the instance. All the remaining columns are numerical features which can be used as a input in the machine learning process (for details see the reference paper). Besides the two data files, a jupyter notebook is provided to illustrate the usage of the data.
DOI: 10.17632/scr79cbxxd.2
title: Dataset for machine learning based approximations of strip packing / nesting heights

description: Solving strip packing or nesting problems with highly irregular shapes is a complex and computation time intensive task. In some cases, it is adequate to estimate the strip height instead of solving the nesting problem completely. 
The file Nesting sample data.csv/*.xlsx consists of 88,200 (complex) nesting instances generated and used in the paper "Approximate anticipation of base-level reactions by machine learning techniques used to substitute the solving of complex nesting problems". The first 14 columns describe details of the nesting instances (e.g., item types used in the instance, the width of the object, used in which phase of the machine learning process etc.), whereat the column "Nesting Solution" is the computed height of the instance. All the remaining columns are numerical features which can be used as a input in the machine learning process (for details see the reference paper).
Besides the two data files, a jupyter notebook is provided to illustrate the usage of the data.

In addition, we provide the 50 used base item shapes as .svg files to be used in future research.
DOI: 10.5281/zenodo.15002851
title: Suplementary material - Agromorphological characterization of tarwi (Lupinus mutabilis S.) Accessions Using Traits and Phenology metrics

description: Tarwi (Lupinus mutabilis S.) is a legume native to the Andes, renowned for its high nutritional value, which gives it significant potential in food security programs. Therefore, the preservation of its genetic and morphological diversity is crucial. A total of 140 accessions from the national germplasm collection of the National Institute of Agrarian Innovation of Peru were evaluated, along with two tarwi cultivars ("INIA 445 Masacanchino" and "Andenes 90"). Traditional agromorphological characterization was performed using 16 quantitative and 40 qualitative descriptors, complemented with phenological data extracted from time series of reflectance indices generated by UAVs. In addition, a principal component analysis (PCA) was used to select significant variables and perform cluster analysis. The results show that significant differences were found between the clusters (p value < 0.05) in terms of inflorescence length, number of pods on the main axis, number of primary branches, and yield per plant, and the morphological groups also showed differences in the phenophases derived from the Normalized Difference Vegetation Index (NDVI). Four morphological groups were identified: group 3 (G3) showed the highest growth and final decrease rate, while group 4 (G4) stood out for its highest initial growth rate. Furthermore, the homogeneous phenological conditions observed suggest that groups 1 (G1) and 4 (G4) matured earlier, making them promising candidates for promising selection. This study highlights the importance of morphological characterization to understand tarwi diversity, contributing to the conservation of its genetic resources and promoting its protection and sustainability.
DOI: 10.17632/584n7z66h9.1
title: Net carbon balance data set of black soil dry farmland system under different tillage measures

description: The data sets of net carbon balance of black soil dry farmland system under different tillage measures include CO2, CH4 emissions, dry matter mass, carbon content, NPP, E-C, NEP, NECB, CAPi, NCF.
DOI: 10.17632/d26n9p94f5.1
title: Human Resilience for a Sustainable Future: Exploring the Intersections of Well-being, Adaptation, and Transformation

description: Title:
Human Resilience for a Sustainable Future: Exploring the Intersections of Well-being, Adaptation, and Transformation.
Background:
The world is facing unprecedented challenges, including climate change, social inequality, and economic uncertainty. Building human resilience is critical to addressing these challenges and creating a sustainable future.
Research Questions:
1. How do individuals and communities develop resilience in the face of adversity?
2. What are the intersections between well-being, adaptation, and transformation in building resilience?
3. How can resilience be fostered and supported at individual, community, and societal levels?
Objectives:
1. To explore the concept of human resilience and its relationship to well-being, adaptation, and transformation.
2. To examine the factors that contribute to resilience, including individual, social, and environmental factors.
3. To identify strategies and interventions that can foster resilience at individual, community, and societal levels.
Methodology:
1. Literature review: A comprehensive review of existing research on human resilience, well-being, adaptation, and transformation.
2. Case studies: In-depth examination of real-world examples of resilience in action, including individual, community, and societal level initiatives.
3. Surveys and interviews: Primary data collection through surveys and interviews with individuals and communities to gather insights on resilience and its intersections with well-being, adaptation, and transformation.
Expected Outcomes:
1. A deeper understanding of the concept of human resilience and its relationship to well-being, adaptation, and transformation.
2. Identification of key factors that contribute to resilience and strategies for fostering resilience at individual, community, and societal levels.
3. Recommendations for policymakers, practitioners, and individuals on how to build resilience and create a sustainable future.
Implications:
The research has implications for:
1. Policy and practice: Informing the development of policies and programs that support resilience-building at individual, community, and societal levels.
2. Community development: Providing insights and strategies for community development initiatives that foster resilience and well-being.
3. Individual empowerment: Offering recommendations for individuals on how to build resilience and thrive in the face of adversity.
DOI: 10.17632/vptj28s8pk.1
title: Technostress Measurement, Development of a Short Questionnaire Version

description: The aim of this study was to develop a short version of the Technostress Creators Inventory and to verify its validity. We chose Item Response Theory, which offers the advantage of modeling the relationship between item response and latent construct, while allowing assessment of discriminative ability. The research sample consisted of 692 participants aged 20 to 70 years (M = 40.28, SD = 11.41; 50.7% male, 49.3% female) who used information technology at work. The short version has 5 items with confirmed single factor, highly correlates with the long version, and we also demonstrated correlation with burnout and work engagement. Study limitations are discussed including suggestions for future research. This short Technostress Inventory could serve as a rapid screening method.

FTS - Technostress Creators Inventory
BFI - BFI-2, Big Five Questionnaire
UWES - Dutch Utrecht Work Engagement Scale
V - Bergen Burnout Inventory 
CSE - Computer Self-Efficacy
DOI: 10.17632/sdxwvmrk3t.1
title: Data for: Generation of Mode I Stress Intensity Factor Solutions for Narrow Elliptical-Shaped Cracks in Round Bars: A Finite Element Approach

description: Mode I geometric correction factors for "narrow" elliptical-shaped cracks were presented at the 41st conference of the Grupo Español de Fractura (GEF) in 2025. These factors were fitted to a polynomial equation, which requires several coefficients for calculation. Therefore, the coefficients needed to calculate the geometric correction factor are published here.
DOI: 10.17632/fgfsbndgn5.1
title: Plasma Fibrinogen: A Novel Biomarker for Preoperative Prediction and Quantification of Peritoneal Adhesions in Emergency Abdominal Surgery

description: This dataset contains clinical and laboratory data from 231 patients diagnosed with acute appendicitis who underwent surgical intervention at The Third People's Hospital of Xinjiang Uygur Autonomous Region, China, between July 2022 and August 2024. The dataset includes comprehensive demographic information, preoperative laboratory results, and surgical outcomes, with a focus on the relationship between plasma fibrinogen (Fg) levels and the presence of abdominal adhesions.
DOI: 10.15468/dl.9r67h7
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryocosmus kuriphilus Yasumatsu, 1951"
 ]
}

 The dataset includes 80 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001219-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shjtgg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thripastichus gentilei (Del Guercio, 1931)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001220-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2mht7hz98y.1
title: Deep Learning Model Optimization for Crop Prediction and Recommendation using Harris Hawks Optimization

description: The dataset comprises 2,200 entries with 7 key attributes, covering both soil and climate factors. Soil attributes include pH, nitrogen, phosphorus, and potassium, while climate factors include temperature, rainfall, and humidity. It features data for 22 crops, such as watermelon, coconut, lentil, rice, cotton, grapes, muskmelon, black gram, coffee, banana, apple, orange, moth beans, chickpea, kidney beans, mango, pigeon peas, papaya, jute, pomegranate, mung bean, and maize, with around 100 records per crop.
DOI: 10.17632/xd9yyx3bc7.1
title: Substituent effects on 2PCET between catechol derivatives and superoxide radical anion

description: DFT data was calculated using the Becke three-parameter Lee–Yang–Parr (B3LYP), Minnesota 06 (M06-2X), and TPSSh functionals implemented in the Gaussian 16 Program package.
DOI: 10.17632/44n57dmpnz.1
title: Supplementary Material - Beard hair response in Alopecia Areata Universalis treated with baricitinib

description: Patients with AA universalis under baricitinib: demographics, clinical characteristics, outcome and timing of beard, scalp hair, eyebrows and eyelashes regrowth.
DOI: 10.15468/dl.5ktbjn
title: Occurrence Download

description: A dataset containing 15806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxalis pes-caprae L."
 ]
}

 The dataset includes 15806 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001221-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwwsjx3c9t.1
title: Dataset of Naïve Bayes-Based Data Analysis on Online Travel Agency’s Guest Review of Sheraton Bandung Hotel & Towers

description: This dataset contains reviews of five-star hotel guests, namely Sheraton Bandung Hotel & Towers, collected from several Online Travel Agent (OTA) platforms: Traveloka, Tripadvisor, and Agoda. These reviews use Indonesian to express guests' opinions, such as service quality, hotel facilities, and comfort. By analyzing this review data, this study aims to determine the proportion of positive and negative reviews and identify the main aspects that consumers often mention. The results of this study can provide greater insight into the factors affecting guest experience and satisfaction in staying at a hotel.

This dataset was collected by conducting effective web scraping using Octoparse. The data collected from the three OTA platforms were 1,367 reviews. Then, data cleaning was carried out from duplicate and irrelevant reviews, so the total data became 1,230 reviews. This study will classify the data into positive and negative sentiments using machine learning.

In the initial observation, the reviews showed a mixture of feedback given. Many consumers felt that the hotel was good and comfortable, followed by complaints about the consistency of service quality and facilities. Each platform presents diverse reviews and shows variation in guest experience each time they visit, especially regarding the quality of service and in-room facilities.

This dataset can be used by researchers conducting sentiment analysis studies, especially in the hospitality industry in Indonesia, to understand hotel guests' experiences and identify things that need to be maintained or improved. In addition, this dataset can serve as training data for machine learning models in sentiment classification. By understanding guest reviews, this dataset can be the basis for businesses to improve their reputation and provide strategic recommendations for developing the hospitality industry in Indonesia.
DOI: 10.17632/gn6mmhgg4g.1
title: Hydrological data

description: Hydrological data
DOI: 10.15468/dl.zvv2gs
title: Occurrence Download

description: A dataset containing 1258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.57673 42.76377,-114.79297 42.76377,-114.79297 44.36241,-117.57673 44.36241,-117.57673 42.76377))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Astragalus mulfordiae M.E.Jones, Astragalus purshii var. lagopinus (Rydb.) Barneby, Trifolium douglasii House, Ammannia robusta Heer ex Regel, Allium aaseae Ownbey, Astragalus adanus A.Nelson, Abronia mellifera Douglas, Chaenactis stevioides Hook. & Arn., Chaenactis cusickii A.Gray, Cyperus bipartitus Torr., Eatonella nivea (D.C.Eaton) A.Gray, Epilobium suffruticosum Nutt. ex Torr. & A.Gray, Euthamia graminifolia (L.) Nutt., Lomatium andrusianum M.Stevens & Mansfield, Pogogyne serpylloides (Torr.) A.Gray, Stephanomeria paniculata Nutt., Botrychium crenulatum W.H.Wagner, Carex abrupta Mack., Carex flava L., Carex livida (Wahlenb.) Willd., Carex occidentalis L.H.Bailey, Ceanothus prostratus Benth., Cirsium brevifolium Nutt., Epipactis gigantea Dougl. ex Hook., Juncus bryoides F.J.Herm., Juncus hemiendytus F.J.Herm., Juncus tiehmii Ertter, Lepidium papilliferum (L.F.Hend.) A.Nelson & J.F.Macbr., Lewisia sacajaweana B.L.Wilson, Penstemon laxus A.Nelson, Pinus albicaulis Engelm., Solidago nana Nutt.)"
 ]
}

 The dataset includes 1258 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001222-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9j8xwpgpwj
title: Soil charcoal Raman indices

description: Soil charcoal Raman indices
DOI: 10.17632/9j8xwpgpwj.1
title: Soil charcoal Raman indices

description: Soil charcoal Raman indices