How to not be swamped by your microclimate data?
The rise of microclimate data may have opened Pandora’s box. Gone are the days of simple bioclimatic variables — now heads spin trying to summarize these timeseries.
A much-needed paper by @krystofchytry.bsky.social:
🔗 the3dlab.org/2025/11/11/h...
The rise of microclimate data may have opened Pandora’s box. Gone are the days of simple bioclimatic variables — now heads spin trying to summarize these timeseries.
A much-needed paper by @krystofchytry.bsky.social:
🔗 the3dlab.org/2025/11/11/h...
How to not be swamped by your microclimate data
Microclimate data are finally finding their way more routineously into ecological models – and rightly so. Hooray for that! The growing availability of in-situ measurements is helping us brid…
the3dlab.org
November 11, 2025 at 9:19 AM
How to not be swamped by your microclimate data?
The rise of microclimate data may have opened Pandora’s box. Gone are the days of simple bioclimatic variables — now heads spin trying to summarize these timeseries.
A much-needed paper by @krystofchytry.bsky.social:
🔗 the3dlab.org/2025/11/11/h...
The rise of microclimate data may have opened Pandora’s box. Gone are the days of simple bioclimatic variables — now heads spin trying to summarize these timeseries.
A much-needed paper by @krystofchytry.bsky.social:
🔗 the3dlab.org/2025/11/11/h...
the first paper from my lab at UCSC is on @ecoevorxiv.bsky.social
led by the brilliant Jordana Sevigny we assembled a >100 year timeseries of invert range extensions in the NE Pacific
huge range fluctuations are common; extensions are overwhelmingly associated with El Niño
doi.org/10.32942/X2T...
led by the brilliant Jordana Sevigny we assembled a >100 year timeseries of invert range extensions in the NE Pacific
huge range fluctuations are common; extensions are overwhelmingly associated with El Niño
doi.org/10.32942/X2T...
A century of invertebrate range extensions in the eastern North Pacific
doi.org
November 6, 2025 at 8:09 PM
the first paper from my lab at UCSC is on @ecoevorxiv.bsky.social
led by the brilliant Jordana Sevigny we assembled a >100 year timeseries of invert range extensions in the NE Pacific
huge range fluctuations are common; extensions are overwhelmingly associated with El Niño
doi.org/10.32942/X2T...
led by the brilliant Jordana Sevigny we assembled a >100 year timeseries of invert range extensions in the NE Pacific
huge range fluctuations are common; extensions are overwhelmingly associated with El Niño
doi.org/10.32942/X2T...
Based on data in the web server, the most common website that users were referred to Rope Culture from (clicking a link that took them to the Rope Culture website) was Facebook.
October 28, 2025 at 3:27 PM
Based on data in the web server, the most common website that users were referred to Rope Culture from (clicking a link that took them to the Rope Culture website) was Facebook.
Our paper on drought & riparian phenology is out in @globalchangebio.bsky.social, skillfully led by PhD candidate Rose Mohammadi! Upshot: #Drought pushes down water tables & shortens tree growing seasons by intermittent streams - and that response is visible from space #timeseries
How vulnerable are riparian trees to drought? Using groundwater and satellite data from a California waterhsed, our new paper found that trees by drying rivers lost up to 5 weeks of growing season, suggesting they’re nearing critical groundwater limits.
onlinelibrary.wiley.com/doi/10.1111/...
onlinelibrary.wiley.com/doi/10.1111/...
Groundwater and Remotely Sensed Phenology Reveal Vulnerability of Riparian Trees to Drought
We asked how vulnerable riparian trees are to droughts, examining their water use and growing season timing and duration via groundwater data and satellite imagery. Drought shortened the growing seas...
doi.org
October 27, 2025 at 4:40 PM
Our paper on drought & riparian phenology is out in @globalchangebio.bsky.social, skillfully led by PhD candidate Rose Mohammadi! Upshot: #Drought pushes down water tables & shortens tree growing seasons by intermittent streams - and that response is visible from space #timeseries
New preprint from our group: Neural networks for dengue forecasting: a systematic review
www.medrxiv.org/content/10.1...
#epidemics #dengue #complexnetworks #complexsystems #machinelearning #forecasting #timeseries #deeplearning
www.medrxiv.org/content/10.1...
#epidemics #dengue #complexnetworks #complexsystems #machinelearning #forecasting #timeseries #deeplearning
October 19, 2025 at 12:36 AM
New preprint from our group: Neural networks for dengue forecasting: a systematic review
www.medrxiv.org/content/10.1...
#epidemics #dengue #complexnetworks #complexsystems #machinelearning #forecasting #timeseries #deeplearning
www.medrxiv.org/content/10.1...
#epidemics #dengue #complexnetworks #complexsystems #machinelearning #forecasting #timeseries #deeplearning
I’d just like to interject for a moment—what you’re referring to as “stock price prediction” is, in fact, “return prediction”, or as I’ve recently taken to calling it, “alpha forecasting for convex optimization”. Price timeseries are not a prediction into itself but rather another component of retur
October 14, 2025 at 12:38 AM
I’d just like to interject for a moment—what you’re referring to as “stock price prediction” is, in fact, “return prediction”, or as I’ve recently taken to calling it, “alpha forecasting for convex optimization”. Price timeseries are not a prediction into itself but rather another component of retur
I kicked off a new newsletter focused on time series analysis and forecasting.
My goal is to use it as both a framework and motivation to write my upcoming books on time series and forecasting.
If you are interested, please sign up here:
theforecaster.substack.com
#timeseries #rstats #python
My goal is to use it as both a framework and motivation to write my upcoming books on time series and forecasting.
If you are interested, please sign up here:
theforecaster.substack.com
#timeseries #rstats #python
The Forecaster | Rami Krispin | Substack
A newsletter about time series analysis and forecasting. Click to read The Forecaster, by Rami Krispin, a Substack publication with hundreds of subscribers.
theforecaster.substack.com
October 13, 2025 at 12:51 AM
I kicked off a new newsletter focused on time series analysis and forecasting.
My goal is to use it as both a framework and motivation to write my upcoming books on time series and forecasting.
If you are interested, please sign up here:
theforecaster.substack.com
#timeseries #rstats #python
My goal is to use it as both a framework and motivation to write my upcoming books on time series and forecasting.
If you are interested, please sign up here:
theforecaster.substack.com
#timeseries #rstats #python
1/ RTT performance August - From the RTT Overview Timeseries - public.tableau.com/views/Englan...
Pathways 7,414,794
Over 18 weeks 2,891,485
Over 52 Weeks 191,493
Over 65 Weeks 12,805
Over 78 Weeks 1,416
Over 104 weeks 168
Pathways 7,414,794
Over 18 weeks 2,891,485
Over 52 Weeks 191,493
Over 65 Weeks 12,805
Over 78 Weeks 1,416
Over 104 weeks 168
October 12, 2025 at 11:21 AM
1/ RTT performance August - From the RTT Overview Timeseries - public.tableau.com/views/Englan...
Pathways 7,414,794
Over 18 weeks 2,891,485
Over 52 Weeks 191,493
Over 65 Weeks 12,805
Over 78 Weeks 1,416
Over 104 weeks 168
Pathways 7,414,794
Over 18 weeks 2,891,485
Over 52 Weeks 191,493
Over 65 Weeks 12,805
Over 78 Weeks 1,416
Over 104 weeks 168
Super both! It's timeseries too 🤪
October 4, 2025 at 2:51 PM
Super both! It's timeseries too 🤪
October 2, 2025 at 9:28 PM
October 2, 2025 at 7:45 PM
The Atlantic Meridional Overturning Circulation (AMOC) timeseries at 26.5N was just updated (rapid.ac.uk). It appears that the AMOC has slightly rebounded in 2023 (16.00 Sv) from its minimum in 2022 (15.22 Sv). It is the 7th lowest annual mean AMOC value since 2005. 🌊🧪
September 30, 2025 at 1:02 PM
The Atlantic Meridional Overturning Circulation (AMOC) timeseries at 26.5N was just updated (rapid.ac.uk). It appears that the AMOC has slightly rebounded in 2023 (16.00 Sv) from its minimum in 2022 (15.22 Sv). It is the 7th lowest annual mean AMOC value since 2005. 🌊🧪
The latest update for #Last9 includes "Top 11 #Java #APM Tools: A Comprehensive Comparison" and "Monitor #Kubernetes Hosts with #OpenTelemetry".
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
Last9
Last9 provides tools to improve Reliability in large-scale cloud-native environments.
opsmtrs.com
September 30, 2025 at 3:01 AM
The latest update for #Last9 includes "Top 11 #Java #APM Tools: A Comprehensive Comparison" and "Monitor #Kubernetes Hosts with #OpenTelemetry".
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
New preprint out, first timid experiments on foundation models for #neuroimaging and Ornstein-Uhlenbeck processes (checking inhibitory/excitatory causality):
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
September 17, 2025 at 10:20 AM
New preprint out, first timid experiments on foundation models for #neuroimaging and Ornstein-Uhlenbeck processes (checking inhibitory/excitatory causality):
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
Prediction and Causality of functional #MRI and synthetic signal using a Zero-Shot #TimeSeries Foundation Model
arxiv.org/abs/2509.12497
#LLM
#Newresearch
This Bayesian statistical method uses timeseries microbiome data to infer interaction modules and is tested using a faecal transplant experiment in mice.
#MicroSky
www.nature.com/articles/s41...
This Bayesian statistical method uses timeseries microbiome data to infer interaction modules and is tested using a faecal transplant experiment in mice.
#MicroSky
www.nature.com/articles/s41...
Learning ecosystem-scale dynamics from microbiome data with MDSINE2 - Nature Microbiology
This Bayesian statistical method uses timeseries microbiome data to infer interaction modules and is tested using a faecal transplant experiment in mice.
www.nature.com
September 12, 2025 at 3:51 PM
#Newresearch
This Bayesian statistical method uses timeseries microbiome data to infer interaction modules and is tested using a faecal transplant experiment in mice.
#MicroSky
www.nature.com/articles/s41...
This Bayesian statistical method uses timeseries microbiome data to infer interaction modules and is tested using a faecal transplant experiment in mice.
#MicroSky
www.nature.com/articles/s41...
The latest update for #Last9 includes "#Python #Logging Exceptions: The Setup Guide You Actually Need" and "Getting Started with the #Grafana API: Practical Use Cases".
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
Last9
Last9 provides tools to improve Reliability in large-scale cloud-native environments.
opsmtrs.com
March 5, 2025 at 4:38 AM
The latest update for #Last9 includes "#Python #Logging Exceptions: The Setup Guide You Actually Need" and "Getting Started with the #Grafana API: Practical Use Cases".
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
#Monitoring #Observability #TimeSeries #SRE #DevOps https://opsmtrs.com/41EhXHh
timeseries if they do update it regularly? Or are they sharing it on their github site?
November 13, 2024 at 8:05 AM
timeseries if they do update it regularly? Or are they sharing it on their github site?
Sickle cell, thalassemia, and heat: risk estimates and equity policy considerations from an exploratory timeseries study in California https://www.medrxiv.org/content/10.1101/2024.10.15.24315547v1
Sickle cell, thalassemia, and heat: risk estimates and equity policy considerations from an exploratory timeseries study in California https://www.medrxiv.org/content/10.1101/2024.10.15.24315547v1
Background: People born with hemoglobinopathies, such as sickle cell disease (SCD) and thalassemia,
www.medrxiv.org
October 17, 2024 at 1:58 AM
Sickle cell, thalassemia, and heat: risk estimates and equity policy considerations from an exploratory timeseries study in California https://www.medrxiv.org/content/10.1101/2024.10.15.24315547v1
I like working on e2e stuff but I truly hate is the 5% of the time I spend getting things to exactly match designs in Figma
The part where I munge data coming from warehouse into an ETL pipe then feed it to one store as a cache / another as a timeseries entry, and combine those & persist is better.
The part where I munge data coming from warehouse into an ETL pipe then feed it to one store as a cache / another as a timeseries entry, and combine those & persist is better.
November 11, 2024 at 4:54 PM
I like working on e2e stuff but I truly hate is the 5% of the time I spend getting things to exactly match designs in Figma
The part where I munge data coming from warehouse into an ETL pipe then feed it to one store as a cache / another as a timeseries entry, and combine those & persist is better.
The part where I munge data coming from warehouse into an ETL pipe then feed it to one store as a cache / another as a timeseries entry, and combine those & persist is better.
Now that all groups have released their 2024 global temperature data, here is a comparison of their timeseries and their 2024 values
January 10, 2025 at 4:07 PM
Now that all groups have released their 2024 global temperature data, here is a comparison of their timeseries and their 2024 values
I’m not saying DCM is perfect but please acknowledge that a fundamental ingredient of DCM is that the HRF is estimated separately for each voxel/region and each participant. This was in contrast to applications of Granger to raw timeseries, which do suffer from such HRF differences eg in onset
December 19, 2024 at 6:23 PM
I’m not saying DCM is perfect but please acknowledge that a fundamental ingredient of DCM is that the HRF is estimated separately for each voxel/region and each participant. This was in contrast to applications of Granger to raw timeseries, which do suffer from such HRF differences eg in onset
I have been doing some testing with watching Jetstream for posting time of day distributions (eg punchcard graph). Could look at doing similar tallying with app.bsky.graph.follow and build a timeseries of follows by time of day. Hmmm
January 1, 2025 at 3:09 PM
I have been doing some testing with watching Jetstream for posting time of day distributions (eg punchcard graph). Could look at doing similar tallying with app.bsky.graph.follow and build a timeseries of follows by time of day. Hmmm
"OLIGOTREND, towards a global database of multi-decadal #chlorophyll-a and #waterquality timeseries for #rivers, #lakes and #estuaries". 🧪
Preprint open for discussion in Earth System Science Data until end of March:
essd.copernicus.org/preprints/es...
Preprint open for discussion in Earth System Science Data until end of March:
essd.copernicus.org/preprints/es...
OLIGOTREND, towards a global database of multi-decadal chlorophyll-a and water quality timeseries for rivers, lakes and estuaries
Abstract. Reversed eutrophication, called oligotrophication, has widely been documented globally over the last 30 years in rivers, lakes, and estuaries. However, the absence of a comprehensive and har...
essd.copernicus.org
February 25, 2025 at 1:41 PM
"OLIGOTREND, towards a global database of multi-decadal #chlorophyll-a and #waterquality timeseries for #rivers, #lakes and #estuaries". 🧪
Preprint open for discussion in Earth System Science Data until end of March:
essd.copernicus.org/preprints/es...
Preprint open for discussion in Earth System Science Data until end of March:
essd.copernicus.org/preprints/es...
Beyond Dashboards: Wie man aus Timeseries Daten Signale generiert has been released on media.ccc.de and YouTube https://media.ccc.de/v/2023-266-beyond-dashboards-wie-man-aus-timeseries-daten-signale-generiert https://www.youtube.com/watch?v=Ml67jxkxVtY
September 3, 2023 at 11:51 AM
Beyond Dashboards: Wie man aus Timeseries Daten Signale generiert has been released on media.ccc.de and YouTube https://media.ccc.de/v/2023-266-beyond-dashboards-wie-man-aus-timeseries-daten-signale-generiert https://www.youtube.com/watch?v=Ml67jxkxVtY