cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/mw6r2n/vxtthw
title: FAI-028_Qualitative_PCR_new.pdf
DOI: 10.13130/rd_unimi/mw6r2n/di2yzj
title: FAI-021_Alcian_Blue_PAS_staining.pdf
DOI: 10.13130/rd_unimi/mw6r2n/esswth
title: FAI-006_Samples collection.pdf
DOI: 10.13130/rd_unimi/mw6r2n/s0fwyi
title: FAI-029_Real_Time_Quantitative_PCR.pdf
DOI: 10.13130/rd_unimi/mw6r2n/ozuhdf
title: FAI-012_PDMS_preparation.pdf
DOI: 10.13130/rd_unimi/mw6r2n/epmj1i
title: FAI-008_Gelatin_methacrylamide_polymer_development.pdf
DOI: 10.13130/rd_unimi/mw6r2n/vhy3m2
title: FAI-007_Film_casting.pdf
DOI: 10.13130/rd_unimi/mw6r2n/kooizw
title: FAI-009_Gelatin_norbornene_polymer_development.pdf
DOI: 10.13130/rd_unimi/mw6r2n/t6pmsh
title: FAI-010_Indirect_3D_printing.pdf
DOI: 10.13130/rd_unimi/mw6r2n/xsmsx5
title: FAI-011_PCL_based_AUP_polymer_development.pdf
DOI: 10.13130/rd_unimi/mw6r2n/l8bw4e
title: FAI-013_PEG_based_AUP_polymer_development.pdf
DOI: 10.13130/rd_unimi/mw6r2n/ncxex2
title: FAI-014_Polymer_moulding.pdf
DOI: 10.13130/rd_unimi/mw6r2n/b0p17g
title: FAI-016_PEPSIN_ACTIVITY_ASSAY.pdf

description: Standard Operating Procedure regarding pepsin activity assay used in the FISH-AI project
DOI: 10.13130/rd_unimi/mw6r2n/1cbsbd
title: FAI-015_DIGESTIVE_ENZYME_EXTRACTION_FROM_RAINBOW_TROUT.pdf

description: Standard Operating Procedure regarding digestive enzyme extraction from rainbow trout used in the FISH-AI project
DOI: 10.13130/rd_unimi/mw6r2n/fyta8o
title: FAI-018_TRYPSIN_ACTIVITY_ASSAY.pdf

description: Standard Operating Procedure regarding trypsin activity assay used in the FISH-AI project
DOI: 10.13130/rd_unimi/mw6r2n/xx93gc
title: FAI-032_IN_VITRO_DIGESTION_PROTOCOL_IN_DEVELOPMENT.pdf

description: In vitro digestion of fish feed protocol in development used in the FISH-AI project
DOI: 10.13130/rd_unimi/mw6r2n/2bi7il
title: README.txt
DOI: 10.13130/rd_unimi/mw6r2n/nwbp4b
title: FAI-003_opening small fish.mp4
DOI: 10.13130/rd_unimi/mw6r2n/sqa8vv
title: FAI-005_Mid_&_Distal_Intestine.mp4
DOI: 10.13130/rd_unimi/mw6r2n/yeb1ai
title: FAI-004_stomach_and_pyloric_caeca.mp4
DOI: 10.13130/rd_unimi/mw6r2n/6spful
title: FAI-034_PAAP_test.pdf
DOI: 10.13130/rd_unimi/mw6r2n/tiy13k
title: FAI-017_Feed_Formulation.pdf
DOI: 10.13130/rd_unimi/mw6r2n/yp1hzh
title: FAI-033_Permeability_test.pdf
DOI: 10.13130/rd_unimi/mw6r2n/n5ft1d
title: FAI-035_Gelatin_methacryloyl_aminoethyl_methacrylate_polymer_development.pdf
DOI: 10.13130/rd_unimi/mw6r2n/y0wydz
title: README.txt
DOI: 10.13130/rd_unimi/mw6r2n/nuzpg8
title: FAI-036_mechanical_evaluation_of_hydrogel_films.pdf
DOI: 10.13130/rd_unimi/mw6r2n/cghyp2
title: FAI-039_sterilization.pdf
DOI: 10.13130/rd_unimi/mw6r2n/pndsoi
title: FAI-038_DLP_3D_printing_of_porogenic_hydrogel_constructs.pdf
DOI: 10.13130/rd_unimi/mw6r2n/u6r0qm
title: FAI-042_Papp.pdf
DOI: 10.13130/rd_unimi/mw6r2n/hl5iwl
title: FAI-043_morphological_analysis_of_2D_hydrogels.pdf
DOI: 10.13130/rd_unimi/mw6r2n/bsacfh
title: FAI-041_perfusion device assembly.pdf
DOI: 10.13130/rd_unimi/mw6r2n/d7tuyv
title: FAI-037_Film_casting_of_porogenic_hydrogel_constructs.pdf
DOI: 10.13130/rd_unimi/mw6r2n/08vyyi
title: FAI-044_morphological_analysis_of_3D_hydrogels.pdf
DOI: 10.13130/rd_unimi/mw6r2n/zxugq6
title: FAI-040_adjustable_insert_assembly.pdf
DOI: 10.13130/rd_unimi/mw6r2n/jxmyec
title: README.txt
DOI: 10.13130/rd_unimi/mw6r2n/nbdtc4
title: FAI-032_In vitro digestion protocol.pdf

description: In vitro digestion of fish feed protocol used in the FISH-AI project
DOI: 10.13130/rd_unimi/mw6r2n/o5rt7i
title: FAI-032_In vitro digestion protocol_upscaled volumes.pdf
DOI: 10.13130/rd_unimi/mw6r2n/uesoxa
title: FAI-045_ESTABLISHMENT_OF_EPITHELIAL BARRIER_IN_VITRO_ONTO_PERMEABLE_SUPPORT MEMBRANES.pdf
DOI: 10.13130/rd_unimi/mw6r2n/nwq3rz
title: FAI-046_METHOD_FOR PROFILING_DIETARY_AMMINO_ACIDS_OF_IN_VITRO_DIGESTED_FEEDS_USING_AN_IN_VITRO_EPITHELIAL_CELL_BARRIER.pdf
DOI: 10.13130/rd_unimi/mw6r2n/e7dset
title: FAI-047_apparent permebility FD4_UMIL.pdf
DOI: 10.13130/rd_unimi/mw6r2n/p6izdt
title: _README.txt
DOI: 10.13130/rd_unimi/mw6r2n/omq26q
title: FAI-032_In vitro digestion protocol_upscaled volumes.pdf
DOI: 10.13130/rd_unimi/mw6r2n/2mvkio
title: FAI-047_Alvetex preparation.pdf
DOI: 10.13130/rd_unimi/e6sqvl
title: Replication data for: "Investigating the growth kinetics in sourdough microbial associations"

description: This dataset contains graphs obtained with three models based on Gompertz’s, Baranyi and Roberts ’, and Schiraldi’s functions using using experimental data from growth tests of microbial consortia consisting of Fructilactobacillus sanfranciscensis strains and Kazachstania humilis strains.
DOI: 10.13130/rd_unimi/e6sqvl/qzurhv
title: Test1 Refresh1_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 1st replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/f05nq8
title: Test1 Refresh1_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 1st replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/jepfbd
title: Test1 Refresh1_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 1st replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/g3hpa7
title: Test1 Refresh2_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 1st replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/h3njlp
title: Test1 Refresh2_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 1st replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/52phbl
title: Test1 Refresh3_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 1st replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/h30qql
title: Test1 Refresh2_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 1st replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/07mbni
title: Test1 Refresh3_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 1st replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/rsfmku
title: Test1 Refresh3_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 1st replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/hw4j6p
title: Test2 Refresh1_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 2nd replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/mkboy9
title: Test2 Refresh1_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 2nd replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/oj0zwt
title: Test2 Refresh2_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 2nd replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/xg1puh
title: Test2 Refresh1_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 2nd replicate and in the 1st refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/gz6ib9
title: Test2 Refresh2_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 2nd replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/ocdjrd
title: Test2 Refresh2_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 2nd replicate and in the 2nd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.15468/dl.u2229q
title: Occurrence Download

description: A dataset containing 25439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinaceae, Cupressaceae, Taxaceae, Podocarpaceae, Fagaceae, Betulaceae, Juglandaceae, Prunus, Malus, Crataegus, Sorbus, Amelanchier, Ulmaceae, Moraceae, Rhamnaceae, Sapindaceae, Simaroubaceae, Anacardiaceae, Malvaceae, Magnoliaceae, Lauraceae, Salicaceae, Platanaceae, Oleaceae, Bignoniaceae, Cornaceae, Hamamelidaceae, Oxydendrum, Arbutus, Robinia, Cercis, Gleditsia, Gymnocladus, Cladrastis, Albizia, Rutaceae, Aquifoliaceae, Nyssaceae, Araliaceae, Caprifoliaceae, Tamaricaceae, Elaeagnaceae)",
 {
 "or" : [
 "Geometry POLYGON ((-87.30607272771066 41.62277272754709, -87.3085111683333 41.62203090769416, -87.304898593397 41.62032087464344, -87.30607272771066 41.62277272754709))",
 "Geometry POLYGON ((-86.76689954984731 40.74812664260195, -83.02314757048147 42.75508792428661, -85.8738698676091 43.34086368839605, -86.76689954984731 40.74812664260195))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Year is greater than or equal to 1980",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 25439 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041771-251025141854904/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/e6sqvl/5oej9c
title: Test2 Refresh3_Baranyi.pdf

description: This file contains the graphs obtained with Baranyi and Roberts’ function using data from the 2nd replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/ktqtvu
title: Test2 Refresh3_Gompertz.pdf

description: This file contains the graphs obtained with Gompertz’s function modified by Zwietering using data from the 2nd replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/e6sqvl/cx8joo
title: Test2 Refresh3_Schiraldi.pdf

description: This file contains the graphs obtained with Schiraldi’s function using data from the 2nd replicate and in the 3rd refreshment. Each bacterial strain (UMB9, UMB21, UMB36, UMB37, UMB42, UMB49) was grown in association with each yeast strain (UMY1, UMY9, UMY10, UMY12, UMY98 = CBS 5658). Dots are experimental data, curve is that predicted by the model. RMS = Root Mean Square value.
DOI: 10.13130/rd_unimi/jea5xx
title: Electric Vehicle Routing Problem with Multiple Recharge Technologies (EVRP-MRT) Dataset
title: EVRP-MRT

description: In this repository, the benchmark dataset for the Electric Vehicle Routing Problem with Multiple Recharge Technologies is introduced (EVRP-MRT). The whole benchmark is composed by 66 instances comprised by 5 to 30 customers and 3 to 9 recharge stations. All instances are solved to proven optimality.

Instances and optimal solutions are presented in xml format, compliant with the VRP-rep specifications. The &lt;a href="https://vrp-rep.github.io/mapper/"&gt;VRP-rep instance mapper&lt;/a&gt; was used to draw the graph of each instance (and its solution) in png format.
description: Dataset A

This dataset was derived from the Solomon dataset, by relaxing the time windows constraints: instances have up to 15 customers (the last part of the name indicates the size of each instance) and 5 stations, with a single technology. Some of these instances are very small and not challenging; they serve mainly to make a comparison between the results of similar problems.

Instances in dataset A are splitted in three classes: C (clustered), R (random) and RC (random-clustered), according to distances between customers. This dataset contains 12 instances for each class.

Dataset B

Instances in this dataset have 10 customers, up to 5 vehicles, up to 9 stations and 3 technologies. This dataset contains 20 instances.

Dataset C

This dataset was adapted from the Solomon dataset: all instances have 30 customers, 7 vehicles, 5 stations and 3 technologies. In this dataset
customer locations are clustered. This dataset contains 10 instances.
DOI: 10.13130/rd_unimi/jea5xx/lbaixg
title: C101-10.png
DOI: 10.13130/rd_unimi/jea5xx/1zs0sg
title: C101-10.xml
DOI: 10.13130/rd_unimi/jea5xx/lkrjjr
title: C101-5.png
DOI: 10.13130/rd_unimi/jea5xx/xliddi
title: C101-5.xml
DOI: 10.13130/rd_unimi/jea5xx/zympel
title: C103-15.png
DOI: 10.13130/rd_unimi/jea5xx/n7u6tb
title: C103-15.xml
DOI: 10.13130/rd_unimi/jea5xx/4mkeis
title: C103-5.xml
DOI: 10.13130/rd_unimi/jea5xx/ficshy
title: C103-5.png
DOI: 10.15468/dl.tq7hbb
title: Occurrence Download

description: A dataset containing 3234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthemum squamatum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3234 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041785-251025141854904/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/jea5xx/8iwura
title: C104-10.xml
DOI: 10.13130/rd_unimi/jea5xx/k4pc78
title: C104-10.png
DOI: 10.14459/2025mp1835864
title: Survey data of teaching and guiding DMP (Data Management Plan) to next generation researchers

description: During their course of study and research work participants are provided training and support to manage their research data. At the end of training and support sessions, organisers usually conduct surveys to gather feedback and to evaluate approaches and effectiveness.
Such a survey was conducted at the end of the first phase (from 2020 to 2023) of the TRR277 AMC, a large Collaborative Research Centre (CRC) funded by German Research Foundation (DFG). Research workloads in such centres are usually distributed among various teams and institutions which may geographically be located at distinct locations. The participants come from different domains with varying skills and competencies. Researchers in these centres use and generate heterogeneous, large amount of data. In contrast to typical general guidance, training activities and courses which are usually based on theories, general purpose learning and qualification, the guiding and training activities in such projects/ settings are more oriented towards formal practices, quick adoption and implementation. 
The survey was carried out to assess and rate the teaching & guiding practices/ methodologies conceived during that period for good management of research data. The training and support topics/ contents, concepts and approaches were developed for in person, digital medium as well as for hybrid environment. The participants of the survey were recipients of the materials and events of teaching & guiding, and took part in managing the actual research data.
This package of data contains survey data, software code and generated analysis. Data in this package relates to the activities for Data management plans (DMP). For survey data relating to the Research data management (RDM), please refer to the data package “Survey data of teaching and guiding RDM to next generation researchers” available at https://doi.org/10.14459/2025mp1835865 
Data in this package consists of R Quarto, CSV, PDF, HTML/ JS/ CSS and PNG file formats. The R Quarto file contains R code for data analysis. The survey responses submitted by the respondents are in PDF and CSV file formats. The compiled results are in HTML and PNG file formats. A PDF file of the compiled results has also been provided as an example. However, HTML and PNG formats have been preferred output formats for textual, tabular and image data.
The analysis of data has been presented through simple descriptive statistics using R. However, it could be further analysed and used for complex descriptive as well as inferential statistical analysis.
The code of R Quarto file may conveniently be served as basis for Web/ digital form applications and may also be altered by the relevant groups as per their own preferences/ demands.
DOI: 10.13130/rd_unimi/jea5xx/s2idok
title: C106-15.png
DOI: 10.13130/rd_unimi/jea5xx/shom19
title: C202-10.png
DOI: 10.13130/rd_unimi/jea5xx/zyt9tq
title: C106-15.xml
DOI: 10.13130/rd_unimi/jea5xx/hkjzxk
title: C202-10.xml
DOI: 10.13130/rd_unimi/jea5xx/jsegi1
title: C202-15.png
DOI: 10.13130/rd_unimi/jea5xx/evnmxf
title: C202-15.xml
DOI: 10.13130/rd_unimi/jea5xx/jbjuqe
title: C205-10.png
DOI: 10.13130/rd_unimi/jea5xx/7qgfgk
title: C206-5.png
DOI: 10.13130/rd_unimi/jea5xx/p2bd9q
title: C205-10.xml
DOI: 10.13130/rd_unimi/jea5xx/0yju0f
title: C206-5.xml
DOI: 10.13130/rd_unimi/jea5xx/iegrcf
title: C208-15.png
DOI: 10.13130/rd_unimi/jea5xx/zhfee4
title: C208-15.xml
DOI: 10.5281/zenodo.17639745
title: Dataset for "Biofilm Growth in Porous Media A Radial-Flow Microfluidic Study"

description: This dataset contains the experimental data and Python scripts used in the study “Biofilm Growth in Porous Media: A Radial-Flow Microfluidic Study” (Chen et al., being submitted to Water Resources Research). It includes inlet pressure time series, permeability calculations, and processed image data for biofilm growth in a radial-flow microfluidic porous chip over flow rates from 0.01 to 9 µL/min. Image subsets and porosity analyses are provided for different flow regimes and stages of clogging–unclogging, together with scripts to reproduce the main figures in the manuscript.
DOI: 10.5281/zenodo.17639746
title: Dataset for "Biofilm Growth in Porous Media A Radial-Flow Microfluidic Study"

description: This dataset contains the experimental data and Python scripts used in the study “Biofilm Growth in Porous Media: A Radial-Flow Microfluidic Study” (Chen et al., being submitted to Water Resources Research). It includes inlet pressure time series, permeability calculations, and processed image data for biofilm growth in a radial-flow microfluidic porous chip over flow rates from 0.01 to 9 µL/min. Image subsets and porosity analyses are provided for different flow regimes and stages of clogging–unclogging, together with scripts to reproduce the main figures in the manuscript.
DOI: 10.13130/rd_unimi/jea5xx/gbi431
title: C208-5.png
DOI: 10.13130/rd_unimi/jea5xx/jmewxm
title: C208-5.xml
DOI: 10.15468/dl.sba2wn
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.98871212737579",
 "DecimalLongitude is less than 5.99177168056019",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 193 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041786-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17639926
title: Pyridine into pyrrole transformation induced within the confinement of the macrocycle
DOI: 10.13130/rd_unimi/jea5xx/imt93t
title: R102-10.png
DOI: 10.13130/rd_unimi/jea5xx/vu5pv9
title: R102-10.xml
DOI: 10.13130/rd_unimi/jea5xx/eznvmx
title: R102-15.png
DOI: 10.13130/rd_unimi/jea5xx/wlcppz
title: R102-15.xml
DOI: 10.13130/rd_unimi/jea5xx/x1ribt
title: R103-10.png
DOI: 10.13130/rd_unimi/jea5xx/vqlftz
title: R103-10.xml
DOI: 10.13130/rd_unimi/jea5xx/6tmdkf
title: R104-5.xml
DOI: 10.13130/rd_unimi/jea5xx/q9om9t
title: R104-5.png
DOI: 10.13130/rd_unimi/jea5xx/7u2fko
title: R105-15.xml
DOI: 10.13130/rd_unimi/jea5xx/jscxci
title: R105-15.png
DOI: 10.13130/rd_unimi/jea5xx/3dqf9y
title: R105-5.xml
DOI: 10.13130/rd_unimi/jea5xx/tstc1f
title: R105-5.png
DOI: 10.13130/rd_unimi/jea5xx/d5ankx
title: R201-10.png
DOI: 10.13130/rd_unimi/jea5xx/fit1oz
title: R202-15.png