cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ppdscsr7j5.1
title: Instances for the Two-Dimensional guillotine Bounded-Sized Cutting Stock Problem (2D-BSCSP)

description: Full description of instances for the Two-Dimensional guillotine Bounded-Sized Cutting Stock Problem (2D-BSCSP). 

The 2D-BSCSP is a new variant of the 2D-CSP in which stocks of flexible (bounded) sizes are available, as described in the research article titled "A large neighborhood search matheuristic for the two-dimensional guillotine bounded-sized cutting stock problem" (Hadj Salem and Robbes, 2025).
The 2D-BSCSP was formulated as item-based, strip-based, and pattern-based models and solved using a LNS matheuristic.

Two classes of instances were considered: “Small” and “Large”.
- The “Small” class comprises a total of 320 instances, which are divided into two subsets: “Variable-sized plates” and “Bounded-sized plates”.
- The “Large” class comprises only 160 “Bounded-sized plates” instances.

The format of an instance can be defined as follows: PS-%H-%W-N-D-V, where:
- PS : is the “plate shape” H^(ub) × W^(ub), i.e., R means “Rectangular” (500 × 1000);
- %H : is the % of H^(lb) relative to H^(ub) ; 
- %W : is the % of W^(lb) relative to W^(ub) ;
- N : is the number of item types I;
- D : is the total item types' demand, sum ( i∈I) d_i;
- V : is the “version” (seed).

The different characteristics of these instances are detailed in the file “instances_characteristics.csv”.
DOI: 10.17632/5kp76xww4r.2
title: Supplementary data of paper "Carbon emissions from forest harvest and fire offset approximately half of carbon sequestration of forestation in China during 1986-2020"

description: This is supplementary data of paper on forest activities and forest fire disturbance in China during 1986-2020, with information such as model parameters. There are two files, namely "Parameters of local special Bookkeeping model1.xlsx", "Proportion of tree species.xlsx" and "Proportion of plantation function types.xlsx" .
DOI: 10.17632/fvmjp4kjrp
title: JDS26611

description: Supplementary Tables S1-2 for JDS26611 Nutritional and non-nutritional factors associated with bulk tank milk fat concentration in commercial spring-calving grazing dairy herds
DOI: 10.17632/fvmjp4kjrp.1
title: JDS26611

description: Supplementary Tables S1-2 for JDS26611 Nutritional and non-nutritional factors associated with bulk tank milk fat concentration in commercial spring-calving grazing dairy herds
DOI: 10.17632/wsghdf4hpd
title: Evaluación de la escala LRINEC para el diagnóstico de fascitis necrosante en una población latinoamericana.

description: A retrospective cohort study was conducted in hospitalized patients with skin and soft tissue infections in two high-complexity Colombian institutions between 2016 and 2021. Patients presenting with systemic inflammatory response signs were considered suspected cases of FN and were followed until FN was confirmed or ruled out through surgical description or pathology. The LRINEC score was calculated, and its diagnostic and operational performance was assessed using ROC curves. Results: Among 1,546 clinical records, 29 confirmed cases of FN and 106 suspected cases with FN ruled out were identified. The average LRINEC score in the FN group was 6 points. A score ≥6 points yielded a sensitivity of 62.07%, specificity of 71.7%, and an ROC curve of 0.67; the positive predictive value (PPV) was 37.5% and the negative predictive value (NPV) was 87.36% (positive likelihood ratio [LR+] of 2.19 and negative likelihood ratio [LR–] of 0.52). For a score ≥8 points, sensitivity was 34.48%, specificity 89.62%, and ROC curve 0.62; the PPV was 47.62% and the NPV 83.3% (LR+ of 3.32 and LR– of 0.73).
Conclusions: The diagnostic performance of the LRINEC score in the population studied was moderate and consistent with previous studies. Its greatest utility lies in ruling out the disease, given its high NPV for scores below 6.
DOI: 10.15468/dl.tnyuef
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Psilotrichum ferrugineum"
 ]
}

 The dataset includes 344 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014817-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wsghdf4hpd.1
title: Evaluación de la escala LRINEC para el diagnóstico de fascitis necrosante en una población latinoamericana.

description: A retrospective cohort study was conducted in hospitalized patients with skin and soft tissue infections in two high-complexity Colombian institutions between 2016 and 2021. Patients presenting with systemic inflammatory response signs were considered suspected cases of FN and were followed until FN was confirmed or ruled out through surgical description or pathology. The LRINEC score was calculated, and its diagnostic and operational performance was assessed using ROC curves. Results: Among 1,546 clinical records, 29 confirmed cases of FN and 106 suspected cases with FN ruled out were identified. The average LRINEC score in the FN group was 6 points. A score ≥6 points yielded a sensitivity of 62.07%, specificity of 71.7%, and an ROC curve of 0.67; the positive predictive value (PPV) was 37.5% and the negative predictive value (NPV) was 87.36% (positive likelihood ratio [LR+] of 2.19 and negative likelihood ratio [LR–] of 0.52). For a score ≥8 points, sensitivity was 34.48%, specificity 89.62%, and ROC curve 0.62; the PPV was 47.62% and the NPV 83.3% (LR+ of 3.32 and LR– of 0.73).
Conclusions: The diagnostic performance of the LRINEC score in the population studied was moderate and consistent with previous studies. Its greatest utility lies in ruling out the disease, given its high NPV for scores below 6.
DOI: 10.15468/dl.k99eba
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muraena lampra"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014819-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk3gba
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois miles",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014823-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pbvs4
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois miles",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 773 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014818-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/96kxmyfr67
title: IAD JAAD-D-24-02752R3

description: Supplementary FilesS
DOI: 10.17632/96kxmyfr67.1
title: IAD JAAD-D-24-02752R3

description: Supplementary FilesS
DOI: 10.17632/cmsfkvw76m
title: NRCAM variant defined by microexon skipping is a targetable cell surface proteoform in high-grade gliomas

description: Original uncropped Western Blots
DOI: 10.17632/cmsfkvw76m.3
title: NRCAM variant defined by microexon skipping is a targetable cell surface proteoform in high-grade gliomas

description: Original uncropped Western Blots
DOI: 10.18150/mil6ug
title: Experimental data for sedimenting rigid particles of certain shapes approaching a stationary orientation

description: Experimental data used in the manuscript "Sedimenting rigid particles of certain shapes approach a stationary orientation" by C. Shekhar, H. N. Mirajkar, P. Zdybel, Y. Melikhov and M. L. Ekiel-Jeżewska (submitted to J. Fluid Mech.). Seven types of millimeter-sized rigid particles with two orthogonal symmetry planes were used in the experiments, with the following shapes: cone (C), crescent moon (M), arrowhead (A), rings with the 1 mm (R1), 2 mm (R2), 3 mm (R3), and 4 mm (R4) openings. The particles were provided by Koniarscy S. C., Poland (the product codes: for crescent moons 13014 5, for cones 12973 8, for arrowheads KAHE106, for rings SMKSC0506C; the rings were opened manually).The particles were settling in the tank filled with silicon oil at a Reynolds number much smaller than unity. We used three types of initial orientations of the particles when released at the fluid surface: inverted (I), stationary (S), and inclined (IN). In the repository, the evolution of the shape orientation and of the center position are shown for 138 experimental trials.For each trial, we present the superposition of a sequence of the processed images recorded by two cameras placed perpendicularly to the front and side of the tank, separated by the same time interval. The names of the files contain the name of the particle according to the abbreviations presented above, the initial orientation, and the label of the trial. The number and labels of experimental trials with the stationary, selected inverted and selected inclined orientations are listed in a separate file.In the manuscript, the following trials were shown:C_I_T2, A_I_T2, M_I_T2, R1_I_T4, R2_I_T5, R3_I_T3, R4_I_T3 (Figures 4, 5, 6, 7);A_IN_T4, R1_IN_T3 (Figure 8);M_I_T0, R1_I_T3, R4_IN_T6 (Figure 12).
DOI: 10.5281/zenodo.16743970
title: global TP flux simulation
DOI: 10.5281/zenodo.16743971
title: global TP flux simulation
DOI: 10.15468/dl.vc66ke
title: Occurrence Download

description: A dataset containing 13668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, Antarctica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anredera cordifolia"
 ]
}

 The dataset includes 13668 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014820-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gtnb4j7bfx
title: Data Model for Injection Molding and Blow Molding

description: This dataset contains detailed production and process-related variables recorded from industrial operations involving injection molding and blow molding techniques used in the transformation of plastic materials. The objective is to facilitate the analysis of production performance, material efficiency, process control, and product quality.

Key Features

Includes more than 30 variables spanning temporal data, machine parameters, material consumption, and product performance.

Records unit weights, production requirements, defect quantities, and operational timings such as cycle and cooling durations.

Enables advanced applications such as statistical process control, predictive analytics, and optimization of manufacturing performance.
DOI: 10.17632/gtnb4j7bfx.1
title: Data Model for Injection Molding and Blow Molding

description: This dataset contains detailed production and process-related variables recorded from industrial operations involving injection molding and blow molding techniques used in the transformation of plastic materials. The objective is to facilitate the analysis of production performance, material efficiency, process control, and product quality.

Key Features

Includes more than 30 variables spanning temporal data, machine parameters, material consumption, and product performance.

Records unit weights, production requirements, defect quantities, and operational timings such as cycle and cooling durations.

Enables advanced applications such as statistical process control, predictive analytics, and optimization of manufacturing performance.
DOI: 10.5517/ccdc.csd.cc2m5h6j
title: CCDC 2418347: Experimental Crystal Structure Determination

description: Related Article: Michał Sulik, Eyob A. Workneh, Sofia Santana, Bárbara Teixeira, Miguel Prudêncio, Jan Janczak, Adam Huczyński|2025|Bioorg.Med.Chem.|123|118177|doi:10.1016/j.bmc.2025.118177
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/dvsphk9djt
title: Flipped Classroom data

description: This dataset originates from a qualitative case study investigating the experiences of 16 English as a Foreign Language (EFL) teacher trainees enrolled in a research methods course that implemented a Flipped Classroom (FC) approach. The data captures participants’ reflections on the benefits and challenges of FC, including its flexibility, support for research skill development, and issues related to workload, teacher guidance, and learning continuity. Additionally, the dataset includes insights into how Emergency Remote Teaching (ERT) during the COVID-19 pandemic influenced learners’ autonomy and digital competencies. The data highlights variability in students’ capacity for self-directed learning and emphasizes the need for structured pedagogical support. The findings inform the development of inclusive, sustainable blended learning practices in teacher education.
DOI: 10.17632/dvsphk9djt.1
title: Flipped Classroom data

description: This dataset originates from a qualitative case study investigating the experiences of 16 English as a Foreign Language (EFL) teacher trainees enrolled in a research methods course that implemented a Flipped Classroom (FC) approach. The data captures participants’ reflections on the benefits and challenges of FC, including its flexibility, support for research skill development, and issues related to workload, teacher guidance, and learning continuity. Additionally, the dataset includes insights into how Emergency Remote Teaching (ERT) during the COVID-19 pandemic influenced learners’ autonomy and digital competencies. The data highlights variability in students’ capacity for self-directed learning and emphasizes the need for structured pedagogical support. The findings inform the development of inclusive, sustainable blended learning practices in teacher education.
DOI: 10.17632/hrtj23vgfb
title: scRNA-seq and spatial transcriptomics of MIBC across different ICB exposure and response state

description: To explore how TME components regulate tumor cell fate plasticity through intricate cellular interaction networks, and thereby induce ICB resistance in MIBC, we performed scRNA-seq on 11 tumor samples obtained from 6 MIBC patients, covering distinct anatomical regions. Additionally, we conducted spatial transcriptomics on freshly collected specimens from 4 of these patients. We performed multiple bioinformatic analysis and employed in vitro functional assays to validate our findings.
DOI: 10.17632/hrtj23vgfb.1
title: scRNA-seq and spatial transcriptomics of MIBC across different ICB exposure and response state

description: To explore how TME components regulate tumor cell fate plasticity through intricate cellular interaction networks, and thereby induce ICB resistance in MIBC, we performed scRNA-seq on 11 tumor samples obtained from 6 MIBC patients, covering distinct anatomical regions. Additionally, we conducted spatial transcriptomics on freshly collected specimens from 4 of these patients. We performed multiple bioinformatic analysis and employed in vitro functional assays to validate our findings.
DOI: 10.17632/hnvhkbgvy2.2
title: A Supervised Machine Learning Approach to Understanding Migration Decisions and Psychological Stress Among Youth.

description: Migration decisions—especially for youth—are influenced by personal ambitions, socio-economic conditions, and global exposure. These decisions involve complex emotional processes like uncertainty, anxiety, and family or societal pressure. Many young Bangladeshi individuals aspire to pursue better opportunities abroad, making it critical to understand their motivations and psychological stressors.
This dataset was collected through structured questionnaires distributed via Google Forms and in-person interviews across Bangladesh. It includes diverse responses related to migration interest, stress levels, coping mechanisms, and future plans, gathered from various ages, occupations, and socio-cultural backgrounds.
Key Features:
Demographics: Age group, Gender, Occupation.
Migration Decisions: Whether decided to migrate abroad, intended duration, awareness of migration programs or scholarships.
Influencing Factors: Role of social media, family, friends, mentors, and target countries.
Psychological Stress Indicators: Type and intensity of stress (e.g., visa anxiety, family pressure, fear of rejection), self-reported emotional challenges in migration planning.
Coping Strategies: Stress relief methods such as hobbies, physical activity, social support, and online forums.
Barriers to Migration: Financial constraints, lack of experience or qualifications, family obligations or cultural resistance.
Return Plans & Impact: Plans to return, perceived impact on family/community, trust in government youth migration support.
Recommendation Likelihood: Willingness to recommend migration to peers (scale of 1 to 5).
Usage:
This dataset is useful for researchers, data scientists, policymakers, and mental health professionals to understand:
Psychological aspects of youth migration.
Barriers and motivations influencing migration choices.
Support strategies for stressed or at-risk individuals.
Using machine learning and data analytics, it supports models like:
Migration intent prediction (Logistic Regression, Random Forest, XGBoost).
Stress level classification (SVM, Decision Tree).
Cluster analysis of motivations (K-Means, DBSCAN).
Recommendation systems for stress management (ML-kNN, content-based filtering).
Return likelihood and family impact prediction.
These insights can improve policy decisions, mental health awareness, and personalized services for youth.
Data Sources:
Collected from 1,614 individuals including university students, professionals, urban and rural residents across Bangladesh through survey online and face-to-face methods; all data standardized via Google Forms. The dataset’s csv file size is 815 kb.
DOI: 10.15468/dl.apfws4
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis cinereicollis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 979 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014824-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sekk2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Enteromius catenarius)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014825-250802193616735/datasets/export for details.
DOI: 10.15468/dl.q7hy5m
title: Occurrence Download

description: A dataset containing 8220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis conspicillata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 8220 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014826-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmqqrn
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Paraguay",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014827-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zg2gz8vhpn
title: Raw phenotypic and pedigree data for Random Regression Models on Genetic Parameters of Meat-type Quails Raised with Different Threonine Levels

description: This dataset contains raw phenotypic and pedigree data used to estimate genetic parameters of meat-type quails raised under different dietary threonine levels. Random regression models were applied to evaluate the genetic variation in body weight across varying threonine concentrations, separately at five different ages: 7, 14, 21, 28, and 35 days. The phenotypic data include individual body weight measurements and corresponding dietary treatments, while the pedigree file provides animal identification along with sire and dam information. The data were collected under controlled experimental conditions and are suitable for genetic evaluation studies involving nutritional level gradients at multiple time points.
DOI: 10.17632/zg2gz8vhpn.1
title: Raw phenotypic and pedigree data for Random Regression Models on Genetic Parameters of Meat-type Quails Raised with Different Threonine Levels

description: This dataset contains raw phenotypic and pedigree data used to estimate genetic parameters of meat-type quails raised under different dietary threonine levels. Random regression models were applied to evaluate the genetic variation in body weight across varying threonine concentrations, separately at five different ages: 7, 14, 21, 28, and 35 days. The phenotypic data include individual body weight measurements and corresponding dietary treatments, while the pedigree file provides animal identification along with sire and dam information. The data were collected under controlled experimental conditions and are suitable for genetic evaluation studies involving nutritional level gradients at multiple time points.
DOI: 10.17632/7hrspzt89y
title: Replisomes restrict SMC translocation in vivo

description: Unprocessed microscopy data for Figure 3
DOI: 10.17632/7hrspzt89y.2
title: Replisomes restrict SMC translocation in vivo

description: Unprocessed microscopy data for Figure 3
DOI: 10.17632/34bs5cxk9j
title: SOMADHAN: A Reasoning Based Bengali Math Word Problem Dataset

description: SOMADHAN is a Bengali Math Word Problem (MWP) dataset specifically designed to facilitate research in multilingual and low-resource natural language processing tasks, particularly in mathematical reasoning. This dataset consists of 8,792 Bengali complex math word problems, each accompanied by detailed, step-by-step solutions that mimic the logical flow of human problem-solving. The development of SOMADHAN was inspired by and based on the structure of the GSM8K dataset, a widely-used English-language benchmark for mathematical reasoning tasks. To ensure a robust and comprehensive dataset, we utilized the train and test portions of the publicly available GSM8K dataset, which together contain 8,792 English math problems with solutions.