home.social

#independentresearch — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #independentresearch, aggregated by home.social.

  1. Fine-tuning life’s code!

    Cells adapt to changing environments and stress by modulating their “proteomes”. Dr Sophie Tagnères at our Uni has been awarded a Dorothea Schlözer Postdoc position so that she can investigate further.

    Why not join her in her lab and find out why ribosomes look like a Christmas tree? Short clip on our Uni’s YouTube channel: youtu.be/4hOfh8_eDho

    Congratulations to Sophie on her outstanding research achievements!

    #MolecularBiology #IndependentResearch #GCPostdocs

  2. Happy 2026 everyone! Here's a Binomica labs retrospective post. An amateur independent researcher's perspective on genome sequencing, academic conferences and approaching research themes undertaken through 2025

    #independentresearch #archaea #microbiology #conference

    naturepoker.wordpress.com/2025

  3. Ich freu mich auf die nächste Antike Welt und bin stolz, dass ich einen Artikel in dieser Zeitschrift veröffentlichen darf.

    #Publizieren #publishing #research #independentResearch #gladiators #halicarnassus

  4. 📘 A small milestone for my independent research project

    I’m honestly a bit shocked.
    When I published the first version of my hydrogeochemical monograph on May 27 (v0.72), and then the updated version on August 4 (v0.75), I expected almost no reactions at all.

    Today, the combined statistics on Zenodo show:
    - 1,400 downloads
    - almost 3,000 views

    For a niche, highly technical, openly accessible monograph created by one person — this is far beyond anything I imagined.

    Thank you to everyone who found the work useful enough to download, save, or read it.
    Your interest is the only reason this project keeps growing.

    #Geochemistry #Hydrogeology #MineWater #PHREEQC #EnvironmentalGeochemistry #Groundwater #Metasomatism #RStats #QGIS #OpenScience #IndependentResearch #SvystunovaGully #KryvyiRih #WaterPollution #Contamination #Mining #Zenodo

    (Full Zenodo record — in the ALT of the second image, for anyone interested.)

  5. 🗂️ My computer stores everything I work with: drafts, notes, datasets, scripts, models, simulations results, old archives — and, of course, a ridiculous amount of literature. 😅

    Recently I discovered something that felt like unlocking a hidden level: local full-text search.

    I’d used basic search tools before, but then I tried Recoll — an open-source search engine for UNIX-like systems — and it completely changed how I navigate my research files.

    It honestly feels like I found a new kind of “computer game,” and I’ll probably keep playing with it for months. 🤣

    #ResearchWorkflow #IndependentResearch #DataManagement #OpenSource #KnowledgeOrganization #UNIX #DigitalResearch #ResearchTools #Recoll #KnowledgeManagement #Linux #FOSS

  6. 📚 A short note for those who just joined my profile

    Over the past few days, I’ve been sharing many posts — not for promotion, but to open parts of my long-term research archive.

    During more than a decade of independent work, I’ve accumulated a huge amount of data, methods, and materials: from geochemical modeling and groundwater studies to urban greenness mapping and environmental visualization.

    Many of these works were completed years ago but remained unpublished outside of narrow expert circles — so I’m gradually bringing them here, one by one, to make them visible and interconnected.

    The pace will slow down soon 🙂 — what you’re seeing now is a process of unfolding a whole scientific story.

    #OpenScience #Geochemistry #Hydrology #GIScience #EnvironmentalData #UrbanEcology #IndependentResearch #ScienceCommunication #DataVisualization #Rstats #QGIS #SAGAGIS #FOSS #Linux #DataScience

  7. 🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed

    This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.

    🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
    🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
    🔹 Built a modern DEM including the dam structure and current flooded zone.
    🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
    🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
    🔹 The results were later featured in regional media and used in discussions about mine-water safety.

    🎥 Watch the short video visualization:
    🔗 youtu.be/JTcCLXqvWlE?si=NS7ly7

    #Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully

  8. 🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed

    This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.

    🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
    🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
    🔹 Built a modern DEM including the dam structure and current flooded zone.
    🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
    🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
    🔹 The results were later featured in regional media and used in discussions about mine-water safety.

    🎥 Watch the short video visualization:
    🔗 youtu.be/JTcCLXqvWlE?si=NS7ly7

    #Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully

  9. 🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed

    This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.

    🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
    🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
    🔹 Built a modern DEM including the dam structure and current flooded zone.
    🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
    🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
    🔹 The results were later featured in regional media and used in discussions about mine-water safety.

    🎥 Watch the short video visualization:
    🔗 youtu.be/JTcCLXqvWlE?si=NS7ly7

    #Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully

  10. 🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed

    This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.

    🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
    🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
    🔹 Built a modern DEM including the dam structure and current flooded zone.
    🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
    🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
    🔹 The results were later featured in regional media and used in discussions about mine-water safety.

    🎥 Watch the short video visualization:
    🔗 youtu.be/JTcCLXqvWlE?si=NS7ly7

    #Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully

  11. 🌊 Modeling a potential dam breach — and how panic spread beyond the real watershed

    This project assessed the potential consequences of a dam failure at a mine-water impoundment in the Svystunova Gully.

    🔹 Reconstructed the original pre-impoundment terrain from archival topographic maps.
    🔹 Used Sentinel-based land-cover classification to assign variable Manning’s roughness coefficients.
    🔹 Built a modern DEM including the dam structure and current flooded zone.
    🔹 Simulated dam-break flood dynamics in GRASS GIS — frame by frame.
    🔹 Produced a video visualization to help local communities understand real risks (and ignore fake ones).
    🔹 The results were later featured in regional media and used in discussions about mine-water safety.

    🎥 Watch the short video visualization:
    🔗 youtu.be/JTcCLXqvWlE?si=NS7ly7

    #Hydrology #DamSafety #GIS #GRASSGIS #MineWater #HydrodynamicModeling #GeospatialAnalysis #EnvironmentalRisk #OpenScience #IndependentResearch #SvystunovaGully

  12. 🧪 Mine water + fresh water ≠ simple average

    When high mineralized mine waters mix with fresh groundwater, mineral reactions don’t behave linearly.

    The graphs below show how saturation indices for selected minerals respond to dilution:
    🔹 Copper sulfates (Antlerite, Brochantite, Langite) display clear peaks and drops.
    🔹 Gypsum remains undersaturated — yet falls sharply at high dilution.

    Each “dip” or “window” reflects a short-lived equilibrium where new mineral phases may form or dissolve — revealing the hidden dynamics of technogenic metasomatism in aquifer systems.

    📖 Draft monograph (v0.75) available on Zenodo:
    🔗 zenodo.org/records/16741148

    #Geochemistry #Hydrogeology #MineWater #PHREEQC #EnvironmentalGeochemistry #Groundwater #Metasomatism #RStats #QGIS #OpenScience #IndependentResearch #SvystunovaGully #KryvyiRih #WaterPollution #Contamination #Mining

  13. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  14. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  15. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  16. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  17. 🌬️ Dust for Everybody, Free of Charge…!

    This is the English translation of my earlier article analyzing the recurring dust storms caused by tailings and waste dumps in the Kryvyi Rih Iron Ore Basin.

    Using large meteorological datasets and satellite observations, I demonstrated that extreme dust emissions coincide with the region’s dry spring winds — a seasonal pattern that persists year after year.

    The findings challenged local industrial “dust control” programs, showing that their methods do not reflect real climatic conditions.
    The publication sparked a wide public debate, meetings of the municipal working group, and eventually led to updates in enterprise dust-suppression policies.

    📎 The article is here:
    datastory.org.ua/dust-for-ever

    #EnvironmentalScience #RemoteSensing #AirPollution #DustEmission #MiningImpact #ClimateData #KryvyiRih #IndependentResearch #OpenScience #Sustainability #RStats #QGIS #METAR #NOAA

  18. 📈 Unexpected feedback from the open network
    After sharing my research and monograph on Mastodon, downloads on Zenodo jumped by +35 in just 36 hours.

    This small case tells an important story: open networks really amplify open science.

    #OpenScience #IndependentResearch #Zenodo #Geochemistry #EnvironmentalScience #Hydrogeology #ResearchVisibility #FediverseScience #SvystunovaGully

  19. 🎨 When visualization becomes part of thinking

    In geochemical modeling, diagrams are not decoration — they’re analytical tools.

    Every chart and map I create goes through many iterations: filtering, reshaping, and transforming multi-dimensional geochemical data until patterns start to reveal themselves.

    Good visualization doesn’t just show results — it creates insight.
    It helps trace hidden geochemical transitions, test hypotheses, and understand how contamination evolves through space and chemistry.

    🧩 For me, plotting and modeling are inseparable parts of one process — the science of seeing.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Modeling & visualization: PHREEQC + R + QGIS

    #Geochemistry #GeochemicalModeling #DataVisualization #ScientificGraphics #EnvironmentalScience #GroundwaterQuality #PHREEQC #RStats #QGIS #GeoscienceCommunication #IndependentResearch #SvystunovaGully

  20. 🎨 When visualization becomes part of thinking

    In geochemical modeling, diagrams are not decoration — they’re analytical tools.

    Every chart and map I create goes through many iterations: filtering, reshaping, and transforming multi-dimensional geochemical data until patterns start to reveal themselves.

    Good visualization doesn’t just show results — it creates insight.
    It helps trace hidden geochemical transitions, test hypotheses, and understand how contamination evolves through space and chemistry.

    🧩 For me, plotting and modeling are inseparable parts of one process — the science of seeing.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Modeling & visualization: PHREEQC + R + QGIS

    #Geochemistry #GeochemicalModeling #DataVisualization #ScientificGraphics #EnvironmentalScience #GroundwaterQuality #PHREEQC #RStats #QGIS #GeoscienceCommunication #IndependentResearch #SvystunovaGully

  21. 🎨 When visualization becomes part of thinking

    In geochemical modeling, diagrams are not decoration — they’re analytical tools.

    Every chart and map I create goes through many iterations: filtering, reshaping, and transforming multi-dimensional geochemical data until patterns start to reveal themselves.

    Good visualization doesn’t just show results — it creates insight.
    It helps trace hidden geochemical transitions, test hypotheses, and understand how contamination evolves through space and chemistry.

    🧩 For me, plotting and modeling are inseparable parts of one process — the science of seeing.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Modeling & visualization: PHREEQC + R + QGIS

    #Geochemistry #GeochemicalModeling #DataVisualization #ScientificGraphics #EnvironmentalScience #GroundwaterQuality #PHREEQC #RStats #QGIS #GeoscienceCommunication #IndependentResearch #SvystunovaGully

  22. 🎨 When visualization becomes part of thinking

    In geochemical modeling, diagrams are not decoration — they’re analytical tools.

    Every chart and map I create goes through many iterations: filtering, reshaping, and transforming multi-dimensional geochemical data until patterns start to reveal themselves.

    Good visualization doesn’t just show results — it creates insight.
    It helps trace hidden geochemical transitions, test hypotheses, and understand how contamination evolves through space and chemistry.

    🧩 For me, plotting and modeling are inseparable parts of one process — the science of seeing.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Modeling & visualization: PHREEQC + R + QGIS

    #Geochemistry #GeochemicalModeling #DataVisualization #ScientificGraphics #EnvironmentalScience #GroundwaterQuality #PHREEQC #RStats #QGIS #GeoscienceCommunication #IndependentResearch #SvystunovaGully

  23. 🎨 When visualization becomes part of thinking

    In geochemical modeling, diagrams are not decoration — they’re analytical tools.

    Every chart and map I create goes through many iterations: filtering, reshaping, and transforming multi-dimensional geochemical data until patterns start to reveal themselves.

    Good visualization doesn’t just show results — it creates insight.
    It helps trace hidden geochemical transitions, test hypotheses, and understand how contamination evolves through space and chemistry.

    🧩 For me, plotting and modeling are inseparable parts of one process — the science of seeing.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Modeling & visualization: PHREEQC + R + QGIS

    #Geochemistry #GeochemicalModeling #DataVisualization #ScientificGraphics #EnvironmentalScience #GroundwaterQuality #PHREEQC #RStats #QGIS #GeoscienceCommunication #IndependentResearch #SvystunovaGully

  24. 💧 Aggressive groundwater and the long memory of contamination

    Even after more than a decade of monitoring, the groundwater in this carbonate aquifer remains undersaturated with respect to calcite — consistently showing negative SI values across nearly all observation wells.

    This means that the system is still chemically aggressive toward limestone, slowly dissolving the host rock.
    The impoundment, operating since 1976, continues to influence the aquifer — with the geometry of possible subsurface voids still uncertain to this day.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Data & visualization: PHREEQC + R + QGIS

    #Hydrogeochemistry #Geochemistry #MineWater #Groundwater #PHREEQC #EnvironmentalGeoscience #IndependentResearch #OpenScience #QGIS #RStats #Aquifer #Zenodo #SvystunovaGully #GroundwaterContamination #FOSS

  25. 💧 Beyond Diffusion: Groundwater as a Rock–Fluid System

    Contaminant plumes in groundwater are often seen as passive — just diffusion and advection through porous media.
    But what if we treat them as active geochemical fronts instead?

    In my recent modeling work, I describe contamination not as a mechanical process, but as a metasomatic transformation — a reaction zone between aggressive mine waters and carbonate aquifers.

    Each sector of the aquifer develops its own thermodynamic balance and mineral stability field.
    The plume itself becomes a chemical engine — reshaping host rocks, opening new pathways, and shifting the entire water–rock equilibrium.

    📘 Draft monograph: zenodo.org/records/16741148

    🧪 Data and modeling: PHREEQC + R + QGIS

    #Geochemistry #Hydrogeology #MineWater #WaterPollution #PHREEQC #Metasomatism #Groundwater #EnvironmentalGeochemistry #IndependentResearch #OpenScience #Aquifer #RStats #FOSS #SvystunovaGully

  26. 🌳 Random Forests and Living Trees

    English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

    What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

    The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

    🔗 datastory.org.ua/random-forest

    #RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih #LULC

  27. 🌳 Random Forests and Living Trees

    English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

    What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

    The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

    🔗 datastory.org.ua/random-forest

    #RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih #LULC

  28. 🌳 Random Forests and Living Trees

    English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

    What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

    The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

    🔗 datastory.org.ua/random-forest

    #RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih #LULC

  29. 🌳 Random Forests and Living Trees

    English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

    What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

    The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

    🔗 datastory.org.ua/random-forest

    #RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih

  30. 🌳 Random Forests and Living Trees

    English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

    What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

    The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

    🔗 datastory.org.ua/random-forest

    #RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih

  31. 💾 From Duplicity to Borg — a backup journey

    After more than a decade with Duplicity, I finally switched to BorgBackup — and wow, that difference.

    📂 Source data: 719 GB in my /home
    📦 Packed size: 419 GB
    📉 Actual storage: 390 GB after compression

    That’s more than a 45% reduction, and the upload to remote storage is much faster now.
    For someone who handles geospatial and scientific data daily, this is huge.

    It’s not just about saving space — it’s about making the workflow lighter, faster, and more sustainable.

    🧠 Curious — what backup tools do you trust most?

    #Linux #BorgBackup #OpenSource #DataManagement #Backups #DigitalResearch #IndependentResearch #DataScience #CyberSecurity #ResearchWorkflow #Geodata #Automation

  32. 🧠 Full-Stack Science — from raw data to the final PDF

    While preparing the new version of my monograph, I realized something funny:
    if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

    Because, honestly — everything mattered.
    From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

    Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
    No outsourcing. No “sending for refinement.”
    Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

    📘 Draft available on Zenodo:
    🔗 zenodo.org/records/16741148

    #OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully

  33. 🧠 Full-Stack Science — from raw data to the final PDF

    While preparing the new version of my monograph, I realized something funny:
    if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

    Because, honestly — everything mattered.
    From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

    Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
    No outsourcing. No “sending for refinement.”
    Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

    📘 Draft available on Zenodo:
    🔗 zenodo.org/records/16741148

    #OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully

  34. 🧠 Full-Stack Science — from raw data to the final PDF

    While preparing the new version of my monograph, I realized something funny:
    if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

    Because, honestly — everything mattered.
    From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

    Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
    No outsourcing. No “sending for refinement.”
    Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

    📘 Draft available on Zenodo:
    🔗 zenodo.org/records/16741148

    #OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully

  35. 🧠 Full-Stack Science — from raw data to the final PDF

    While preparing the new version of my monograph, I realized something funny:
    if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

    Because, honestly — everything mattered.
    From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

    Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
    No outsourcing. No “sending for refinement.”
    Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

    📘 Draft available on Zenodo:
    🔗 zenodo.org/records/16741148

    #OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully

  36. 🧠 Full-Stack Science — from raw data to the final PDF

    While preparing the new version of my monograph, I realized something funny:
    if I listed all the software I used, the “Used software” section would look more like a Linux manual than a scientific appendix.

    Because, honestly — everything mattered.
    From grep, awk, and apt, to PHREEQC, R, QGIS, and finally LaTeX.

    Every single stage — data cleaning, modeling, visualization, mapping, typesetting — I did entirely on my own.
    No outsourcing. No “sending for refinement.”
    Just a full-stack, open-source workflow — from the first script to the final monograph PDF.

    📘 Draft available on Zenodo:
    🔗 zenodo.org/records/16741148

    #OpenScience #IndependentResearch #Geochemistry #Hydrogeology #DataScience #PHREEQC #RStats #QGIS #Linux #LaTeX #EnvironmentalData #GeospatialAnalysis #FullStackResearch #ScientificWorkflow #Zenodo #SvystunovaGully

  37. 🌎 Mapping dominant chemical speciation in a polluted carbonate aquifer

    In my recent modeling work, I modeled the dominant forms of element speciation in groundwater within a carbonate system.

    Beyond pure geochemical curiosity, this approach provides a practical lens:
    – it reveals where mineral precipitation is most probable,
    – and helps identify zones where remediation can be most effective.

    💻 Combining thermodynamic modeling (PHREEQC) with spatial analysis in R and QGIS turns subsurface processes into actionable insights for water-quality management and contamination mitigation.

    Two figures below show the modeled distribution of cadmium species across the aquifer and their evolution with dilution

    📘 Full details in the draft monograph:
    🔗 zenodo.org/records/16741148

    #Geochemistry #Hydrogeology #PHREEQC #GroundwaterContamination #MineWater #EnvironmentalGeochemistry #Metasomatism #Aquifer #RStats #QGIS #GeospatialAnalysis #OpenScience #IndependentResearch #WaterQuality #Remediation #SvystunovaGully

  38. 🌎 Mapping dominant chemical speciation in a polluted carbonate aquifer

    In my recent modeling work, I modeled the dominant forms of element speciation in groundwater within a carbonate system.

    Beyond pure geochemical curiosity, this approach provides a practical lens:
    – it reveals where mineral precipitation is most probable,
    – and helps identify zones where remediation can be most effective.

    💻 Combining thermodynamic modeling (PHREEQC) with spatial analysis in R and QGIS turns subsurface processes into actionable insights for water-quality management and contamination mitigation.

    Two figures below show the modeled distribution of cadmium species across the aquifer and their evolution with dilution

    📘 Full details in the draft monograph:
    🔗 zenodo.org/records/16741148

    #Geochemistry #Hydrogeology #PHREEQC #GroundwaterContamination #MineWater #EnvironmentalGeochemistry #Metasomatism #Aquifer #RStats #QGIS #GeospatialAnalysis #OpenScience #IndependentResearch #WaterQuality #Remediation #SvystunovaGully

  39. 🔬 Metasomatic Zonation as a Model of Groundwater Contamination

    One of the key theoretical bases in my research is the classical metasomatic zonation model (Korzhinskii, 1960s).

    I interpret the contamination halo formed by mine waters not as passive dispersion — but as an active metasomatic system, where aggressive fluids drive alteration and re-precipitation reactions within the carbonate aquifer.

    Highly mineralized mine waters create a complex interaction front.
    Thermodynamic modeling (based on well-monitoring data) allows identification of several geochemical zones partly analogous to Korzhinskii’s metasomatic sequence.

    📊 The image shows my preliminary zoning concept.

    📘 All calculations and hypotheses are detailed in the draft monograph:
    🔗 zenodo.org/records/16741148

    #Geochemistry #Hydrogeology #PHREEQC #Metasomatism #MineWater #GroundwaterContamination #GeochemicalModeling #IndependentResearch #OpenScience #RStats #QGIS #EnvironmentalGeochemistry #Thermodynamics #Aquifer #Zenodo #SvystunovaGully

  40. 💧 Exploring how contaminated mine waters behave in a carbonate aquifer — through the lens of metasomatic zoning and thermodynamic #geochemical modeling.

    Using #PHREEQC simulations, data analysis in #RStats, and geospatial visualization in #QGIS, I’m studying how mine drainage transforms groundwater systems and mineral equilibria over time.

    📘 The draft version (v0.75) of my monograph on this topic has already been downloaded 550+ times on #Zenodo — showing how relevant this issue has become for both science and environmental policy.

    It’s independent research that links theory, modeling, and practical hydrogeochemical assessment — focused on the long-term impact of mine waters in the Kryvyi Rih region.

    🔗 Read or download:
    zenodo.org/records/16741148

    #Geochemistry #Groundwater #MineWater #EnvironmentalGeochemistry #Hydrogeology #WaterPollution #Metasomatism #OpenScience #IndependentResearch #EnvironmentalDataScience #Aquifer #HeavyMetals #Sustainability #SvystunovaGully

  41. 💧 Exploring how contaminated mine waters behave in a carbonate aquifer — through the lens of metasomatic zoning and thermodynamic #geochemical modeling.

    Using #PHREEQC simulations, data analysis in #RStats, and geospatial visualization in #QGIS, I’m studying how mine drainage transforms groundwater systems and mineral equilibria over time.

    📘 The draft version (v0.75) of my monograph on this topic has already been downloaded 550+ times on #Zenodo — showing how relevant this issue has become for both science and environmental policy.

    It’s independent research that links theory, modeling, and practical hydrogeochemical assessment — focused on the long-term impact of mine waters in the Kryvyi Rih region.

    🔗 Read or download:
    zenodo.org/records/16741148

    #Geochemistry #Groundwater #MineWater #EnvironmentalGeochemistry #Hydrogeology #WaterPollution #Metasomatism #OpenScience #IndependentResearch #EnvironmentalDataScience #Aquifer #HeavyMetals #Sustainability #SvystunovaGully

  42. 💧 Exploring how contaminated mine waters behave in a carbonate aquifer — through the lens of metasomatic zoning and thermodynamic #geochemical modeling.

    Using #PHREEQC simulations, data analysis in #RStats, and geospatial visualization in #QGIS, I’m studying how mine drainage transforms groundwater systems and mineral equilibria over time.

    📘 The draft version (v0.75) of my monograph on this topic has already been downloaded 550+ times on #Zenodo — showing how relevant this issue has become for both science and environmental policy.

    It’s independent research that links theory, modeling, and practical hydrogeochemical assessment — focused on the long-term impact of mine waters in the Kryvyi Rih region.

    🔗 Read or download:
    zenodo.org/records/16741148

    #Geochemistry #Groundwater #MineWater #EnvironmentalGeochemistry #Hydrogeology #WaterPollution #Metasomatism #OpenScience #IndependentResearch #EnvironmentalDataScience #Aquifer #HeavyMetals #Sustainability #SvystunovaGully

  43. 💧 Exploring how contaminated mine waters behave in a carbonate aquifer — through the lens of metasomatic zoning and thermodynamic #geochemical modeling.

    Using #PHREEQC simulations, data analysis in #RStats, and geospatial visualization in #QGIS, I’m studying how mine drainage transforms groundwater systems and mineral equilibria over time.

    📘 The draft version (v0.75) of my monograph on this topic has already been downloaded 550+ times on #Zenodo — showing how relevant this issue has become for both science and environmental policy.

    It’s independent research that links theory, modeling, and practical hydrogeochemical assessment — focused on the long-term impact of mine waters in the Kryvyi Rih region.

    🔗 Read or download:
    zenodo.org/records/16741148

    #Geochemistry #Groundwater #MineWater #EnvironmentalGeochemistry #Hydrogeology #WaterPollution #Metasomatism #OpenScience #IndependentResearch #EnvironmentalDataScience #Aquifer #HeavyMetals #Sustainability #SvystunovaGully

  44. 💧 Exploring how contaminated mine waters behave in a carbonate aquifer — through the lens of metasomatic zoning and thermodynamic #geochemical modeling.

    Using #PHREEQC simulations, data analysis in #RStats, and geospatial visualization in #QGIS, I’m studying how mine drainage transforms groundwater systems and mineral equilibria over time.

    📘 The draft version (v0.75) of my monograph on this topic has already been downloaded 550+ times on #Zenodo — showing how relevant this issue has become for both science and environmental policy.

    It’s independent research that links theory, modeling, and practical hydrogeochemical assessment — focused on the long-term impact of mine waters in the Kryvyi Rih region.

    🔗 Read or download:
    zenodo.org/records/16741148

    #Geochemistry #Groundwater #MineWater #EnvironmentalGeochemistry #Hydrogeology #WaterPollution #Metasomatism #OpenScience #IndependentResearch #EnvironmentalDataScience #Aquifer #HeavyMetals #Sustainability #SvystunovaGully

  45. I'll be in LA next week, from 18th to 22nd. If anyone in the area wants to chat about #diybio #amateurscience #independentresearch please feel free to drop a note!

  46. Wonderful discovery for #protists #independentresearch #microscopy #microbiology folks. Check out a new zine called "Amoeba Discovery":

    stefanluketa.com/amoeba-discov

    I never thought very much about protists/amoebas, and reading this volume was a fascinating introduction to what seems to be an understudied field.

    Now I'm wondering how I might isolate and sequence some interesting samples!

    @foaylward