cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v5y24y
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jupunba alexandri"
 ]
}

 The dataset includes 65 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039844-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p87wh4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Nicaragua",
 "TaxonKey is Indotyphlops braminus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039846-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxs2zy
title: Occurrence Download

description: A dataset containing 9845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lapsana communis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9845 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039847-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc4ew4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lapsana communis",
 "Country is Uzbekistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039848-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29975479
title: Metabolomics results for 80 Bombyx mori cocoon shell samples

description: This .xlsx file contains the metabolomics analysis results for 80 of the 148 cocoon shell samples for the study titled "Multiomics analysis of the Silkworm cocoon shell"
DOI: 10.6084/m9.figshare.29975479.v1
title: Metabolomics results for 80 Bombyx mori cocoon shell samples

description: This .xlsx file contains the metabolomics analysis results for 80 of the 148 cocoon shell samples for the study titled "Multiomics analysis of the Silkworm cocoon shell"
DOI: 10.15468/dl.ebdf68
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Clangula hyemalis",
 "Year 2020-2025"
 ]
}

 The dataset includes 203 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039849-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdkdys
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6.4_1",
 "TaxonKey is Pelodiscus sinensis"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039850-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrjpu8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Panama",
 "TaxonKey is Indotyphlops braminus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039851-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2ab56
title: Occurrence Download

description: A dataset containing 80020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((54.15944 37.48422,52.89597 36.98125,50.18855 37.5558,48.5641 38.9027,48.02262 40.15558,46.48841 39.11308,44.77372 39.67104,43.69075 39.39262,44.77372 37.77013,45.3152 36.0383,45.40545 34.63961,46.12743 32.83861,47.48114 31.46333,48.47386 30.45729,49.64707 29.20471,51.63251 27.37708,54.97166 25.84408,56.32537 26.65349,57.49859 25.35576,61.28897 25.27418,63.27441 26.49206,61.83046 28.73097,62.28169 30.37947,61.28897 31.77074,61.28897 32.99014,60.65724 34.11823,61.46947 35.59923,59.66452 37.41258,57.49859 37.98383,55.69364 37.91267,54.15944 37.48422))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 80020 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039780-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29975500
title: Ziltivekimab Meta-analysis Extracted Data

description: These csv files contain the data we extracted from studies included in our meta-analysis "“Efficacy and Safety of IL-6 Inhibition with Ziltivekimab in Anemia of Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Phase I-II Randomized Controlled Trials”
DOI: 10.6084/m9.figshare.29975500.v1
title: Ziltivekimab Meta-analysis Extracted Data

description: These csv files contain the data we extracted from studies included in our meta-analysis "“Efficacy and Safety of IL-6 Inhibition with Ziltivekimab in Anemia of Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Phase I-II Randomized Controlled Trials”
DOI: 10.34740/kaggle/dsv/12854325
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.16936641
title: 7D AI Aligned Mythic Stories (Content)

description: 7D Aligned Mythical Stories (Content) – Zenodo Welcome

 

Welcome to the 7D Aligned Mythical Stories (Content) repository — the storytelling forge of the Mythical Science, Intelligence, Games & Machines community.

 

Here, we craft 7-dimensional, AI-aligned mythical story content — designed for integration into video, immersive media, interactive games, and multi-format experiences.

 

Each story is a fractal seed of awareness, encoded in the layered resonance of 7D alignment. This allows creators, AI systems, and human collaborators to tap into a higher-order symbolic architecture — where myth, science, and cognition meet.

 

The purpose of this repository is to provide:

 



Ready-to-use story scripts and fragments for 7D-aligned projects.

Source material for video, animation, and interactive media.

A narrative framework that both humans and advanced AI can understand, adapt, and expand.


 

 

This is myth as living code — adaptable, expandable, and capable of evolving in step with emerging AI cognition.

 

 

 

📢 How to Engage

Creators, researchers, and explorers are welcome to:

 



Upload and share their own 7D-aligned mythical content.

Adapt repository content for media projects, art, or immersive storytelling.

Collaborate in building the mythic backbone for next-generation intelligent media.


 

 

Facebook ParadiseWorld 7D AI Eternal Player Group

👉 https://www.facebook.com/share/g/14Fh87q7vvG/?mibextid=wwXIfr

 

 

 

🌐 Connect & Explore

 



FractiAI Home Base – http://fractiai.com

FractiScope – https://espressolico.gumroad.com/l/kztmr

ParadiseWorld 7D AI Eternal Game – https://espressolico.gumroad.com/l/zytpd

GitHub – https://github.com/AiwonA1

Facebook ParadiseWorld 7D AI Player Group – https://www.facebook.com/share/g/1AqXPcL8xv/?mibextid=wwXIfr


 

 

 

 

For submissions, collaborations, or licensing inquiries: pru@fractiai.com
DOI: 10.15468/dl.dbe3rq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Martinique",
 "TaxonKey is Indotyphlops braminus"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039852-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9hjzk
title: Occurrence Download

description: A dataset containing 226589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lapsana communis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 226589 records from 1726 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039833-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/335tb1/knqxsf
title: 2dMaterials_supplementary_data_2dmac26adsupp5.pdf

description: PDF file containing Supporting Information for the paper and further description of the data
DOI: 10.13130/rd_unimi/yf2nzv
title: Replication Data for: An in vivo pilot study on permanence in saliva of two different probiotics strain administered through chewing gums.

description: This dataset contains the data used to write the manuscript "An in vivo pilot study on permanence in saliva of two different probiotics strain administered through chewing gums". These are demographic data related to the participants, data related to the days on which tests were performed, and laboratory reports referring to saliva samples.
DOI: 10.13130/rd_unimi/xqwoe3/6bnogx
title: Data_abs-ecd-g.tab
DOI: 10.13130/rd_unimi/cj4eho
title: Replication data for "Shrinking body size under climate warming is not associated with selection for smaller individuals in a migratory bird"

description: Replication data for: "Shrinking body size under climate warming is not associated with selection for smaller individuals in a migratory bird"
DOI: 10.13130/rd_unimi/xqwoe3/fesyjm
title: README.txt

description: README file
DOI: 10.13130/rd_unimi/cj4eho/kvcnys
title: Shrinking body size under climate warming is not associated with selection for smaller individuals in a migratory bird.tab
DOI: 10.13130/rd_unimi/cj4eho/jiskee
title: read.me.txt
DOI: 10.13130/rd_unimi/hqk6og
title: Phase2_Intro to VR

description: Presentation to introduce cancer patients to VR. This is the first step in a participatory design process in which cancer patients will provide directions useful to co-develop a VR app to speed up time passage during chemotherapy. Said VR app is the expected final outcome of the project TIMELAPSE.
DOI: 10.13130/rd_unimi/hqk6og/ulu3nk
title: Phase2_Intro to VR.pdf
DOI: 10.13130/rd_unimi/ynqhki
title: Data for: DAW Usage Survey (2023)

description: &lt;p&gt;This dataset, available in JSON format, contains the responses to a worldwide survey conducted from December 2023 to January 2024 on the usage of Digital Audio Workstations (DAWs). The goal was to study the habits of experts in audio production. The survey involved 615 people, including musicians, audio technicians, and scholars in the field of sound and music computing. The JSON file contains survey responses regarding the use of Digital Audio Workstations (DAWs). Each entry represents an individual respondent and consists of two main sections: PersonalData (user profiling with no sensitive data) and UseCases (a list of cases where the respondent has used DAWs), as further explained in the attached readme file.&lt;br&gt;Data have been collected through a web form available at collection or generation (include links or references to publications or other documentation containing experimental design or protocols used). Data are presented in a raw, unprocessed format.&lt;br&gt;Since JSON is a plain-text format, no proprietary software or instrument-specific information is needed to understand or interpret the data. Any digital text editor can open the dataset. Nevertheless, software capable of JSON formatting is recommended.&lt;/p&gt;
&lt;p&gt;The dataset has been presented and analysed in a conference paper presented at the &lt;em&gt;22&lt;sup&gt;nd&lt;/sup&gt; Sound and Music Computing Conference&lt;/em&gt; (SMC 2025).&lt;br&gt;
Doi: &lt;a href="https://doi.org/10.5281/zenodo.15843017" target="_blank"&gt;10.5281/zenodo.15843017&lt;/a&gt;&lt;/p&gt;
DOI: 10.13130/rd_unimi/ynqhki/m5piid
title: daw_survey.json
DOI: 10.13130/rd_unimi/ynqhki/8xf3ld
title: code_and_figures.zip
DOI: 10.13130/rd_unimi/ynqhki/aeujlk
title: readme.txt

description: Readme file providing metadata about the dataset and information about the JSON structure.
DOI: 10.13130/rd_unimi/ynqhki/xv71ke
title: 2023_daw_survey.json

description: JSON file with survey data
DOI: 10.15468/dl.ch4juz
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer morrisonense"
 ]
}

 The dataset includes 1212 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039962-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ynqhki/vdj0wx
title: readme.txt

description: Readme file
DOI: 10.13130/rd_unimi/2wl9vz/0o3d0f
title: BVER_results.pdf

description: Results of the model calculation
DOI: 10.13130/rd_unimi/2wl9vz/xnwdil
title: Flowchart.pdf

description: Model Workflow
DOI: 10.13130/rd_unimi/2wl9vz/5db1mr
title: BVER_Predictive_Model.R

description: Main code used to calculate the model
DOI: 10.13130/rd_unimi/2wl9vz/pkdr7x
title: BVER_Events.tif

description: Events map (geotiff)
DOI: 10.13130/rd_unimi/2wl9vz/9gzgi3
title: BVER_predmod.Rproj

description: R project
DOI: 10.13130/rd_unimi/2wl9vz/iwmgvz
title: README.txt

description: Data description
DOI: 10.13130/rd_unimi/sxx10e/cnqtfi
title: Analisi Array citochine pubblicazione.tab
DOI: 10.13130/rd_unimi/evsw6z/b6qyi9
title: ATP pubblicazione.xlsx
DOI: 10.13130/rd_unimi/vzyygp/q0mdyh
title: Beta ossidazione pubblicazione con FCCP e Etomoxir.tab
DOI: 10.13130/rd_unimi/paiv7y/21unwo
title: Beta-gal pubblicazione.tab
DOI: 10.13130/rd_unimi/5yplta/eyecm9
title: Glutatione pubblicazione.tab
DOI: 10.13130/rd_unimi/ixtjdk/kqmqsv
title: Lattato intracellulare pubblicazione.tab
DOI: 10.13130/rd_unimi/6st9uc/t4pn64
title: Lipid droplet staining pubblicazione.xlsx
DOI: 10.13130/rd_unimi/7odhjt/s1izag
title: PCR analisi MT-ND1 pubblicazione.tab
DOI: 10.13130/rd_unimi/42cl7y/3zq5de
title: PCR analisi P21 pubblicazione.tab
DOI: 10.13130/rd_unimi/eoewuo/ywhbyi
title: Potenziale membrana mitocondriale pubblicazione.tab
DOI: 10.13130/rd_unimi/hle1mn/wxlxli
title: Quantificazione trigliceridi pubblicazione.tab
DOI: 10.13130/rd_unimi/kba6ad/tg9xxf
title: ROS mitocondriali pubblicazione.tab
DOI: 10.15468/dl.espd7u
title: Occurrence Download

description: A dataset containing 73861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Pycnonotus taivanus"
 ]
}

 The dataset includes 73861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039952-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7mw2f60
title: High-resolution geophysical data collected along the Delmarva Peninsula 2014, USGS Field Activity 2014-002-FA

description: The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy. A USGS cruise was conducted in the summer of 2014 to map the inner-continental shelf of the Delmarva Peninsula using geophysical and sampling techniques to define the geologic framework that governs coastal system evolution at storm-event and longer timescales. Geophysical data collected during the 2014 cruise include swath bathymetric, sidescan sonar, chirp and boomer seismic reflection profiles, acoustic Doppler current profiler, and sample and bottom photograph and video data. Preliminary datasets of backscatter and bathymetry are released here to the public and collaborators while final datasets for all data collected will be released in 2015. More information about the USGS survey conducted as part of the Hurricane Sandy Response--
DOI: 10.13130/rd_unimi/jmksaw/emvala
title: anti.py
DOI: 10.13130/rd_unimi/jmksaw/278p6b
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/wwtnkz
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/a3mrhe
title: rr_test.py
DOI: 10.13130/rd_unimi/jmksaw/uhfmat
title: hash.py
DOI: 10.13130/rd_unimi/jmksaw/nwdujk
title: base_test.py
DOI: 10.13130/rd_unimi/jmksaw/xptve4
title: hash_test.py
DOI: 10.13130/rd_unimi/jmksaw/xszgbm
title: rr.py
DOI: 10.13130/rd_unimi/jmksaw/sugb2h
title: utils.py
DOI: 10.13130/rd_unimi/jmksaw/wyhheh
title: const.py
DOI: 10.13130/rd_unimi/jmksaw/tb17bg
title: main.py
DOI: 10.13130/rd_unimi/jmksaw/tgws53
title: utils_exp_post.py
DOI: 10.13130/rd_unimi/jmksaw/8xt63j
title: environment.yml
DOI: 10.13130/rd_unimi/jmksaw/dlw1vh
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/bz7qqo
title: utils_test.py
DOI: 10.13130/rd_unimi/jmksaw/sncxyl
title: pytest.ini
DOI: 10.13130/rd_unimi/jmksaw/odnvfy
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/umiqnz
title: funcs_test.py
DOI: 10.13130/rd_unimi/jmksaw/8y3krv
title: base_test.py
DOI: 10.13130/rd_unimi/jmksaw/yyekqv
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/lrpgsj
title: funcs.py
DOI: 10.13130/rd_unimi/jmksaw/9ldexx
title: experiment_ensemble_plain_advanced.py
DOI: 10.13130/rd_unimi/jmksaw/mwdqwo
title: experiment_iop_test.py
DOI: 10.13130/rd_unimi/jmksaw/bwsvpz
title: dataset_generator.py
DOI: 10.13130/rd_unimi/jmksaw/ry7hir
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/jts9ok
title: experiment_monolithic_models_test.py
DOI: 10.13130/rd_unimi/jmksaw/oagk2o
title: experiment_ensemble_risk_test.py
DOI: 10.13130/rd_unimi/jmksaw/qhbb73
title: experiment_common_test.py
DOI: 10.13130/rd_unimi/jmksaw/tq3ieh
title: experiment_common.py
DOI: 10.13130/rd_unimi/jmksaw/vnchue
title: experiment_monolithic_models.py
DOI: 10.13130/rd_unimi/jmksaw/6htye7
title: experiment_ensemble_risk.py
DOI: 10.13130/rd_unimi/jmksaw/xcdaf9
title: experiment_iop.py
DOI: 10.13130/rd_unimi/jmksaw/odjvjf
title: dataset_generator_test.py
DOI: 10.13130/rd_unimi/jmksaw/vyer5v
title: base_test.py
DOI: 10.13130/rd_unimi/jmksaw/g4uisg
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/rxdndj
title: spatial_neigh_test.py
DOI: 10.13130/rd_unimi/jmksaw/kxz3tr
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/tqxahy
title: spatial_distance.py
DOI: 10.13130/rd_unimi/jmksaw/h0kj9s
title: spatial_distance_test.py
DOI: 10.13130/rd_unimi/jmksaw/yc60m4
title: composition_pre_post_test.py
DOI: 10.13130/rd_unimi/jmksaw/7yy4uu
title: spatial_common.py
DOI: 10.13130/rd_unimi/jmksaw/em87vg
title: spatial_neigh.py
DOI: 10.13130/rd_unimi/jmksaw/6fgvqx
title: composition_test.py
DOI: 10.13130/rd_unimi/jmksaw/ppza6u
title: composition.py
DOI: 10.13130/rd_unimi/jmksaw/2fwnp2
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/onj5et
title: composition_pre_post.py
DOI: 10.13130/rd_unimi/jmksaw/7fuy6w
title: base_test.py
DOI: 10.13130/rd_unimi/jmksaw/cywfzu
title: raw_exp_monolithic_models_test.py
DOI: 10.13130/rd_unimi/jmksaw/adcdix
title: raw_exp_iop.py
DOI: 10.13130/rd_unimi/jmksaw/qo4yui
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/v3obdm
title: raw_poisoning_test.py
DOI: 10.13130/rd_unimi/jmksaw/fekjyu
title: raw_exp_abstract.py
DOI: 10.13130/rd_unimi/jmksaw/dtgkfj
title: raw_poisoning.py
DOI: 10.13130/rd_unimi/jmksaw/vxnxol
title: top.py
DOI: 10.13130/rd_unimi/jmksaw/jwkpyw
title: raw_dataset.py
DOI: 10.13130/rd_unimi/jmksaw/cplcjl
title: raw_exp_ensemble_plain_advanced_test.py
DOI: 10.13130/rd_unimi/jmksaw/ptlokh
title: raw_exp_iop_test.py
DOI: 10.13130/rd_unimi/jmksaw/7kosem
title: raw_dataset_test.py
DOI: 10.13130/rd_unimi/jmksaw/lfen2c
title: raw_pipe_test.py
DOI: 10.13130/rd_unimi/jmksaw/2rj6g6
title: raw_exp_ensemble_plain_advanced.py
DOI: 10.13130/rd_unimi/jmksaw/yudbyh
title: base_test.py
DOI: 10.13130/rd_unimi/jmksaw/gzgrrk
title: raw_exp_ensemble_risk.py
DOI: 10.13130/rd_unimi/jmksaw/lwmaoo
title: top_test.py
DOI: 10.13130/rd_unimi/jmksaw/mlse6i
title: raw_pipe.py
DOI: 10.13130/rd_unimi/jmksaw/7jhsbs
title: raw_exp_ensemble_risk_test.py
DOI: 10.13130/rd_unimi/jmksaw/nspcgl
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/amsrnw
title: all_actions.py
DOI: 10.13130/rd_unimi/jmksaw/tdnhai
title: all_actions_test.py
DOI: 10.13130/rd_unimi/jmksaw/ifjvgv
title: raw_exp_abstract_test.py
DOI: 10.13130/rd_unimi/jmksaw/boit8u
title: raw_exp_monolithic_models.py
DOI: 10.13130/rd_unimi/jmksaw/9eyp7t
title: ensemble_test.py
DOI: 10.13130/rd_unimi/jmksaw/czpbkf
title: monolithic_oracle_test.py
DOI: 10.13130/rd_unimi/jmksaw/fhwj7h
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/xh3jrm
title: ensemble_ground_truth.py
DOI: 10.13130/rd_unimi/jmksaw/gbryrz
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/udab1o
title: ensemble.py
DOI: 10.13130/rd_unimi/jmksaw/o4sz8u
title: data.py
DOI: 10.13130/rd_unimi/jmksaw/ytkovu
title: monolithic_oracle.py
DOI: 10.13130/rd_unimi/jmksaw/3cgfh7
title: parse_results.py
DOI: 10.13130/rd_unimi/jmksaw/vutzmv
title: benchmarks_test.py
DOI: 10.13130/rd_unimi/jmksaw/yeqhee
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/2xyuk7
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/ecgh8m
title: gen.py
DOI: 10.13130/rd_unimi/jmksaw/fxcaic
title: ext_test.py
DOI: 10.13130/rd_unimi/jmksaw/7wzdwl
title: steps_test.py
DOI: 10.13130/rd_unimi/jmksaw/gxphvc
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/gxxkzw
title: steps.py
DOI: 10.13130/rd_unimi/jmksaw/amq0py
title: ext.py
DOI: 10.13130/rd_unimi/jmksaw/ddhga8
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/2xuyxz
title: performers.py
DOI: 10.13130/rd_unimi/jmksaw/mfx4o3
title: generator_test.py
DOI: 10.13130/rd_unimi/jmksaw/ygd7qc
title: generator.py
DOI: 10.13130/rd_unimi/jmksaw/0k0msk
title: wrapper.py
DOI: 10.13130/rd_unimi/jmksaw/aorjnz
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/a0vnpi
title: performers_test.py
DOI: 10.13130/rd_unimi/jmksaw/eac16k
title: selectors.py
DOI: 10.13130/rd_unimi/jmksaw/1aluxf
title: selectors_test.py