cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/63g3fvhbz8
title: Python code and data for intelligent data-driven ensemble approaches for bending strength prediction of ultra-high performance concrete beams

description: # Supplementary Material: Python Code for ML-Based Flexural Capacity Prediction

This notebook (`ML_UHPC_Flexure_Python_Code.ipynb`) provides the full implementation of the 
machine learning framework developed in the manuscript using the dataset "data.xlsx":

**"Intelligent data driven ensemble approaches for bending strength prediction of ultra-high 
performance concrete beams."**

---

## 1. Data Import and Preprocessing
- Loads the harmonized database of **264 UHPFRC beam tests** compiled from 54 studies. 
- Defines **10 input features** (geometry, reinforcement, and material properties) and the 
 target variable (*ultimate bending moment capacity, Mc*). 
- Performs preprocessing steps:
 - Winsorization of extreme values. 
 - Feature engineering (e.g., computing concrete area *Ac* and moment of inertia *Ic*). 
 - Dataset partitioning into training (70%), validation (15%), and testing (15%). 

---

## 2. Model Development and Hyperparameter Tuning
- Implements six ensemble algorithms:
 - Random Forest (RF) 
 - Gradient Boosting Machine (GBM) 
 - LightGBM 
 - AdaBoost 
 - CatBoost 
 - XGBoost 
- Hyperparameter tuning performed via **Bayesian optimization** with **10-fold cross-validation**. 
- Repeatability is ensured using multiple random seeds and error bar reporting. 

---

## 3. Model Evaluation and Benchmarking
- Evaluates models using **R², RMSE, MAE, and CoV**. 
- Benchmarks ML predictions against **international and national design codes**:
 - Chinese UHPC draft, JGJ/T 465-2019 
 - Swiss SIA 2052 
 - ACI 318, ACI 544, FHWA 
- Produces comparative plots of predicted vs. experimental capacities and prediction-to-experiment ratios. 

---

## 4. Explainability via SHAP Analysis
- Uses **Shapley Additive Explanations (SHAP)** to quantify feature importance. 
- Identifies **effective depth (d)** and **reinforcement ratio (ρs)** as the most influential parameters. 
- Provides:
 - Global SHAP importance ranking. 
 - SHAP summary (beeswarm) plots. 
 - SHAP dependence plots for feature interactions. 

---

## 5. Uncertainty and Repeatability
- Multiple training runs with different random seeds to test robustness. 
- Error bars included in performance metrics for reliability. 

---

### Purpose
This notebook ensures **transparency and reproducibility** of the proposed ML framework. 
It enables researchers and practitioners to:
- Apply the models to new UHPFRC beam datasets. 
- Extend the methodology to other structural behaviors (e.g., shear, serviceability). 
- Integrate **physics-informed constraints** into ensemble learning models.
DOI: 10.11587/pbyd9r/exeqrd
title: 10604_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/pbyd9r/ovft9c
title: 10604_da_de_v1_0.tab

description: Core data file - STATA format - 37 Variables, 500 Observations
DOI: 10.17632/63g3fvhbz8.1
title: Python code and data for intelligent data-driven ensemble approaches for bending strength prediction of ultra-high performance concrete beams

description: # Supplementary Material: Python Code for ML-Based Flexural Capacity Prediction

This notebook (`ML_UHPC_Flexure_Python_Code.ipynb`) provides the full implementation of the 
machine learning framework developed in the manuscript using the dataset "data.xlsx":

**"Intelligent data driven ensemble approaches for bending strength prediction of ultra-high 
performance concrete beams."**

---

## 1. Data Import and Preprocessing
- Loads the harmonized database of **264 UHPFRC beam tests** compiled from 54 studies. 
- Defines **10 input features** (geometry, reinforcement, and material properties) and the 
 target variable (*ultimate bending moment capacity, Mc*). 
- Performs preprocessing steps:
 - Winsorization of extreme values. 
 - Feature engineering (e.g., computing concrete area *Ac* and moment of inertia *Ic*). 
 - Dataset partitioning into training (70%), validation (15%), and testing (15%). 

---

## 2. Model Development and Hyperparameter Tuning
- Implements six ensemble algorithms:
 - Random Forest (RF) 
 - Gradient Boosting Machine (GBM) 
 - LightGBM 
 - AdaBoost 
 - CatBoost 
 - XGBoost 
- Hyperparameter tuning performed via **Bayesian optimization** with **10-fold cross-validation**. 
- Repeatability is ensured using multiple random seeds and error bar reporting. 

---

## 3. Model Evaluation and Benchmarking
- Evaluates models using **R², RMSE, MAE, and CoV**. 
- Benchmarks ML predictions against **international and national design codes**:
 - Chinese UHPC draft, JGJ/T 465-2019 
 - Swiss SIA 2052 
 - ACI 318, ACI 544, FHWA 
- Produces comparative plots of predicted vs. experimental capacities and prediction-to-experiment ratios. 

---

## 4. Explainability via SHAP Analysis
- Uses **Shapley Additive Explanations (SHAP)** to quantify feature importance. 
- Identifies **effective depth (d)** and **reinforcement ratio (ρs)** as the most influential parameters. 
- Provides:
 - Global SHAP importance ranking. 
 - SHAP summary (beeswarm) plots. 
 - SHAP dependence plots for feature interactions. 

---

## 5. Uncertainty and Repeatability
- Multiple training runs with different random seeds to test robustness. 
- Error bars included in performance metrics for reliability. 

---

### Purpose
This notebook ensures **transparency and reproducibility** of the proposed ML framework. 
It enables researchers and practitioners to:
- Apply the models to new UHPFRC beam datasets. 
- Extend the methodology to other structural behaviors (e.g., shear, serviceability). 
- Integrate **physics-informed constraints** into ensemble learning models.
DOI: 10.11587/pbyd9r/g7mn6p
title: 10604_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 37 Variables, 500 Observations
DOI: 10.15468/dl.qrmg6x
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polydora websteri",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032201-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/l04r4o/uqzeaf
title: 10605_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/l04r4o/iytfcp
title: 10605_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/l04r4o/zfpism
title: 10605_da_de_v1_0.tab

description: Core data file - STATA format - 30 Variables, 1000 Observations
DOI: 10.11587/l04r4o/rind7i
title: 10605_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 30 Variables, 1000 Observations
DOI: 10.17632/j69tyc2sy8
title: Data for: Laser-powder melt pool solidification dynamics and microstructural characterization of Ti-5553 microlattices

description: Raw EBSD, COMSOL FEM simulation, and strain calculation data for the Advanced Engineering Materials article, DOI: 10.1002/adem.20240370.
DOI: 10.34740/kaggle/dsv/12972206
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/j69tyc2sy8.1
title: Data for: Laser-powder melt pool solidification dynamics and microstructural characterization of Ti-5553 microlattices

description: Raw EBSD, COMSOL FEM simulation, and strain calculation data for the Advanced Engineering Materials article, DOI: 10.1002/adem.20240370.
DOI: 10.11587/jotk7q/psis04
title: 10606_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/jotk7q/exib4h
title: 10606_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/jotk7q/8j9vzo
title: 10606_da_de_v1_0.tab

description: Core data file - STATA format - 62 Variables, 509 Observations
DOI: 10.17632/4zk366t6ts
title: Uso de los videojuegos y su relación con el rendimiento académico en adolescentes cubanos

description: Para la realización de la misma se asumió un paradigma cuantitativo y un diseño no experimental transversal (ex-post-facto). Se utilizó una muestra probabilística estratificada constituida por 460 adolescentes que fueron escogidos al azar, pertenecientes a los niveles de enseñanza de secundaria pertenecientes al municipio de Trinidad. Para el procesamiento de los datos se usó el paquete estadístico SPSS v.25.0.
DOI: 10.11587/jotk7q/weizh2
title: 10606_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 62 Variables, 509 Observations
DOI: 10.17632/4zk366t6ts.1
title: Uso de los videojuegos y su relación con el rendimiento académico en adolescentes cubanos

description: Para la realización de la misma se asumió un paradigma cuantitativo y un diseño no experimental transversal (ex-post-facto). Se utilizó una muestra probabilística estratificada constituida por 460 adolescentes que fueron escogidos al azar, pertenecientes a los niveles de enseñanza de secundaria pertenecientes al municipio de Trinidad. Para el procesamiento de los datos se usó el paquete estadístico SPSS v.25.0.
DOI: 10.11587/kcxutv/zi2ghl
title: 10607_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/kcxutv/bm1jdv
title: 10607_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/473jpdj24n
title: Caracterización del uso de los videojuegos en adolescentes cubanos

description: Se utilizó una muestra probabilística estratificada constituida por 621 adolescentes que fueron escogidos al azar, pertenecientes a los niveles de enseñanza de secundaria y preuniversitario; distribuidos por grupo y año académico en cuatro escuelas pertenecientes a los municipios de Manicaragua y Santa Clara. Para el procesamiento de los datos se usó el paquete estadístico SPSS v.22.0.
DOI: 10.11587/kcxutv/npc2nz
title: 10607_da_de_v1_0.tab

description: Core data file - STATA format - 63 Variables, 504 Observations
DOI: 10.17632/473jpdj24n.1
title: Caracterización del uso de los videojuegos en adolescentes cubanos

description: Se utilizó una muestra probabilística estratificada constituida por 621 adolescentes que fueron escogidos al azar, pertenecientes a los niveles de enseñanza de secundaria y preuniversitario; distribuidos por grupo y año académico en cuatro escuelas pertenecientes a los municipios de Manicaragua y Santa Clara. Para el procesamiento de los datos se usó el paquete estadístico SPSS v.22.0.
DOI: 10.11587/kcxutv/uv0dq0
title: 10607_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 63 Variables, 504 Observations
DOI: 10.11587/p0jcjv/oxa4tf
title: 10608_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.17632/zsv3t3yyp4
title: LINF_260031600

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/p0jcjv/gnjfcl
title: 10608_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/p0jcjv/trq3s4
title: 10608_da_de_v1_0.tab

description: Core data file - STATA format - 46 Variables, 997 Observations
DOI: 10.17632/zsv3t3yyp4.1
title: LINF_260031600

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/p0jcjv/8ktci8
title: 10608_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 46 Variables, 997 Observations
DOI: 10.17632/jmv8s7s7bv
title: Blooming Sustainability: Exploring Edible Flower Consumers

description: Dataset on edible flower consumers
DOI: 10.11587/7yiydl/7dy3a1
title: 10609_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.17632/jmv8s7s7bv.1
title: Blooming Sustainability: Exploring Edible Flower Consumers

description: Dataset on edible flower consumers
DOI: 10.11587/7yiydl/5tkchp
title: 10609_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/7yiydl/gxowyp
title: 10609_da_de_v1_0.tab

description: Core data file - STATA format - 49 Variables, 1000 Observations
DOI: 10.11587/7yiydl/tv2gda
title: 10609_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 49 Variables, 1000 Observations
DOI: 10.17632/5c9z9664h4
title: LINF_260031800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/agq7im/r4vqbd
title: 10610_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.17632/5c9z9664h4.2
title: LINF_260031800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/agq7im/tqwuji
title: 10610_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/agq7im/z3hizj
title: 10610_da_de_v1_0.tab

description: Core data file - STATA format - 18 Variables, 499 Observations
DOI: 10.17632/tgmr9hsjm2
title: LINF_260031900

description: FAD-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.11587/agq7im/c6winc
title: 10610_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 18 Variables, 499 Observations
DOI: 10.17632/tgmr9hsjm2.1
title: LINF_260031900

description: FAD-binding domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.11587/vrwrqb/tccmdo
title: 10611_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/vrwrqb/u6pqp9
title: 10611_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/vrwrqb/ntmcdy
title: 10611_da_de_v1_0.tab

description: Core data file - STATA format - 59 Variables, 1105 Observations
DOI: 10.17632/nn32fjwyg8
title: Minerals and Natural Resources Commodities Dataset

description: This study explores the time-varying predictability of popular calendar patterns prevailing in mineral and natural resource commodities traded at the Chicago Board of Options Exchange (CBOE) from 1988 to 2023. Utilizing the Adaptive Market Hypothesis (AMH), six equal-length sub-samples, a rolling window analysis, and the GARCH (1,1) model, we observe calendar patterns in mineral and natural resource commodity investments, while AMH best explains their behaviour. The presence of calendar patterns induces profit opportunities for investors. The DCC-GARCH model shows that the losses from investment in natural resources during a downturn in the market can be offset by price fluctuations of minerals, which provides superior hedging effectiveness. For robustness, we have also used the TVP-VAR model and observed that natural and mineral resource investments are net receivers of innovations in returns and volatility; however, the connectedness among them has been weak.
DOI: 10.11587/vrwrqb/kb96wz
title: 10611_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 59 Variables, 1105 Observations
DOI: 10.17632/nn32fjwyg8.2
title: Minerals and Natural Resources Commodities Dataset

description: This study explores the time-varying predictability of popular calendar patterns prevailing in mineral and natural resource commodities traded at the Chicago Board of Options Exchange (CBOE) from 1988 to 2023. Utilizing the Adaptive Market Hypothesis (AMH), six equal-length sub-samples, a rolling window analysis, and the GARCH (1,1) model, we observe calendar patterns in mineral and natural resource commodity investments, while AMH best explains their behaviour. The presence of calendar patterns induces profit opportunities for investors. The DCC-GARCH model shows that the losses from investment in natural resources during a downturn in the market can be offset by price fluctuations of minerals, which provides superior hedging effectiveness. For robustness, we have also used the TVP-VAR model and observed that natural and mineral resource investments are net receivers of innovations in returns and volatility; however, the connectedness among them has been weak.
DOI: 10.17632/d58pdxhbhc
title: LINF_260032000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/p2gssz/kun1hr
title: 10612_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/p2gssz/gubwlh
title: 10612_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/d58pdxhbhc.1
title: LINF_260032000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/p2gssz/secyek
title: 10612_da_de_v1_0.tab

description: Core data file - STATA format - 69 Variables, 1009 Observations
DOI: 10.11587/p2gssz/orsx5r
title: 10612_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 69 Variables, 1009 Observations
DOI: 10.15468/dl.knu3sf
title: Occurrence Download

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

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032205-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/kq41fo/cjz5c9
title: 10613_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.17632/9rd43bth8v
title: LINF_260032300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/kq41fo/esuvls
title: 10613_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.15468/dl.hvkatt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Distichodus microps, Distichodus mossambicus, Distichodus nefasch, Distichodus noboli, Distichodus notospilus, Distichodus petersii, Distichodus rostratus, Distichodus rufigiensis, Distichodus schenga, Distichodus sexfasciatus, Dundocharax bidentatus, Eugnathichthys eetveldii, Eugnathichthys macroterolepis, Ichthyborus besse, Ichthyborus monodi, Ichthyborus ornatus, Ichthyborus quadrilineatus, Mesoborus crocodilus, Microstomatichthyoborus bashforddeani, Microstomatichthyoborus katangae, Monostichodus elongatus, Hemistichodus lootensi, Monostichodus lootensi, Hemistichodus mesmaekersi, Monostichodus mesmaekersi, Hemistichodus vaillanti, Nannaethiops unitaeniatus, Nannocharax altus, Hemigrammocharax angolensis, Nannocharax angolensis, Nannocharax ansorgii, Nannocharax brevis, Nannocharax elongatus, Nannocharax fasciatus, Nannocharax fasciolaris, Nannocharax gracilis, Nannocharax hollyi, Nannocharax intermedius, Nannocharax latifasciatus, Nannocharax lineomaculatus, Hemigrammocharax lineostriatus, Nannocharax lineostriatus, Nannocharax luapulae, Hemigrammocharax machadoi, Nannocharax machadoi, Nannocharax macropterus, Nannocharax maculicauda, Nannocharax micros, Hemigrammocharax minutus, Nannocharax minutus, Hemigrammocharax monardi, Nannocharax monardi, Hemigrammocharax multifasciatus, Nannocharax multifasciatus, Nannocharax niloticus, Nannocharax occidentalis, Hemigrammocharax ocellicauda, Nannocharax ocellicauda, Nannocharax ogoensis, Nannocharax parvus, Nannocharax procatopus, Nannocharax pteron, Nannocharax reidi, Nannocharax rubrolabiatus, Nannocharax schoutedeni, Nannocharax seyboldi, Nannocharax taenia, Hemigrammocharax uniocellatus, Nannocharax uniocellatus, Hemigrammocharax wittei, Nannocharax wittei, Neolebias ansorgii, Neolebias axelrodi, Neolebias gossei, Neolebias gracilis, Neolebias kerguennae, Neolebias lozii, Neolebias philippei, Neolebias powelli, Neolebias spilotaenia, Neolebias trewavasae, Neolebias trilineatus, Neolebias unifasciatus, Paradistichodus dimidiatus, Paraphago rostratus, Phago boulengeri, Phago intermedius, Phago loricatus, Xenocharax crassus, Hepsetus cuvieri, Hepsetus kingsleyae, Hepsetus lineatus, Hepsetus occidentalis, Hepsetus odoe, Alosa agone, Alosa algeriensis, Alosa alosa, Alosa fallax, Congothrissa gossei, Ethmalosa fimbriata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((46.4834 11.218,46.1382 11.2722,46.1382 11.0599,51.6417 11.0599,51.7324 12.0635,51.5026 12.2885,50.8876 12.4788,50.4313 12.4022,50.0359 12.0384,49.0834 11.7794,48.4763 11.8079,47.8551 11.6161,47.093 11.7051,46.4834 11.218))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032202-250827131500795/datasets/export for details.
DOI: 10.17632/9rd43bth8v.1
title: LINF_260032300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.11587/kq41fo/ccjkdr
title: 10613_da_de_v1_0.tab

description: Core data file - STATA format - 37 Variables, 1000 Observations
DOI: 10.11587/kq41fo/ytslsn
title: 10613_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 37 Variables, 1000 Observations
DOI: 10.17632/2nb9t4mpfb
title: LINF_260032600

description: ATP-binding cassette protein subfamily B, member 2 | ABCB2; Leishmania infantum (strain JPCM5)
DOI: 10.17632/2nb9t4mpfb.2
title: LINF_260032600

description: ATP-binding cassette protein subfamily B, member 2 | ABCB2; Leishmania infantum (strain JPCM5)
DOI: 10.11587/ymk96f/tioxj9
title: 10614_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.11587/ymk96f/tu93p9
title: 10614_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.17632/spb9c559kk
title: LINF_260032900

description: 6-phosphogluconolactonase; Leishmania infantum (strain JPCM5)
DOI: 10.11587/ymk96f/bq4ysu
title: 10614_da_de_v1_0.tab

description: Core data file - STATA format - 93 Variables, 499 Observations
DOI: 10.17632/spb9c559kk.2
title: LINF_260032900

description: 6-phosphogluconolactonase; Leishmania infantum (strain JPCM5)
DOI: 10.11587/ymk96f/bejbwz
title: 10614_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 93 Variables, 499 Observations
DOI: 10.15468/dl.mn5gyc
title: Occurrence Download

description: A dataset containing 38550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus corniculatus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38550 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032204-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11587/kiaghl/qajzaf
title: 10615_qu_de_v1_0.pdf

description: Questionnaire
DOI: 10.15468/dl.hy24zj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lotus corniculatus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032203-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4gvv9tg8yw
title: [Dataset] PRICING POWER OR FINANCIAL STRENGTH? A GLOBAL ANALYSIS OF MICROFINANCE SUSTAINABILITY DYNAMICS

description: The research dataset comprises both raw and processed data files designed to facilitate and expedite the review process while ensuring ease of data reuse, interpretation, and replication.
DOI: 10.11587/kiaghl/ifzfie
title: 10615_vi_de_v1_0.tab

description: Variable identifiers and descriptions - machine-readable
DOI: 10.11587/kiaghl/bqi4yn
title: 10615_da_de_v1_0.tab

description: Core data file - STATA format - 53 Variables, 1004 Observations
DOI: 10.17632/4gvv9tg8yw.1
title: [Dataset] PRICING POWER OR FINANCIAL STRENGTH? A GLOBAL ANALYSIS OF MICROFINANCE SUSTAINABILITY DYNAMICS

description: The research dataset comprises both raw and processed data files designed to facilitate and expedite the review process while ensuring ease of data reuse, interpretation, and replication.
DOI: 10.11587/kiaghl/amwai5
title: 10615_da_de_v1_0.zsav

description: Core data file - compressed SPSS format - 53 Variables, 1004 Observations