cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/gd9okq/cqwhbn
title: graph140_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/sa4u8n
title: graph30_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/bzqity
title: graph10_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/gvidhd
title: graph10_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/arey7e
title: graph80_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/fi658h
title: graph50_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/giylsw
title: graph140_8_3.txt
DOI: 10.13130/rd_unimi/gd9okq/ijxmv0
title: graph180_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/48yfy7
title: graph50_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/ci3uyt
title: graph120_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/gzgirp
title: graph160_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/pbf1dy
title: graph140_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/osfq7h
title: graph140_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/ueymdk
title: graph180_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/gfuvyy
title: graph100_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/unkt5o
title: graph100_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/uk6fhg
title: graph10_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/vr5ndw
title: graph100_8_2.txt
DOI: 10.15468/dl.mvades
title: Occurrence Download

description: A dataset containing 8767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus osteosperma",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8767 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042060-251025141854904/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/gd9okq/g3ut3b
title: graph50_8_3.txt
DOI: 10.13130/rd_unimi/gd9okq/vvhj6z
title: graph200_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/bkjqk2
title: graph80_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/uqxrsx
title: graph120_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/dyqsbw
title: graph160_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/noof4z
title: graph30_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/vw1xqd
title: graph40_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/7xqj60
title: graph60_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/pn41fq
title: graph100_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/ctof1f
title: graph80_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/ijihzo
title: graph140_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/mm3ewg
title: graph50_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/hi8kpx
title: graph40_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/ien3oi
title: graph180_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/lkmq0p
title: graph180_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/efqpjw
title: graph60_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/hsbjqx
title: graph40_8_2.txt
DOI: 10.57967/hf/7025
title: so-combined-eng
DOI: 10.13130/rd_unimi/gd9okq/ho1ojx
title: graph20_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/qln0fj
title: graph60_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/cxbzfq
title: graph30_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/tozts7
title: graph80_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/zjtdic
title: graph10_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/zpgzz1
title: graph180_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/cugwzs
title: graph60_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/ls6tuy
title: graph160_8_3.txt
DOI: 10.13130/rd_unimi/gd9okq/4erkzq
title: graph20_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/izmdkl
title: graph20_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/4elpvk
title: graph200_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/smpyso
title: graph20_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/7fpasa
title: graph100_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/brrdcp
title: graph60_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/c24kvw
title: graph40_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/xkehq5
title: graph40_8_3.txt
DOI: 10.13130/rd_unimi/gd9okq/ly9zlq
title: graph20_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/ygrce7
title: graph180_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/gz7jyj
title: graph200_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/kghkyp
title: graph120_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/7d2lpc
title: graph50_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/kszf0i
title: graph120_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/852xfy
title: graph200_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/iucg3x
title: graph160_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/6q5axz
title: graph160_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/bwzmno
title: graph80_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/binxew
title: graph140_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/jyssqm
title: graph40_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/60bqbt
title: graph40_8_5.txt
DOI: 10.13130/rd_unimi/gd9okq/wnxzcy
title: graph80_8_1.txt
DOI: 10.13130/rd_unimi/gd9okq/8ziat8
title: graph200_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/i48hvl
title: graph200_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/18ai93
title: graph40_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/hybmmn
title: graph160_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/0hlodh
title: graph140_8_7.txt
DOI: 10.13130/rd_unimi/gd9okq/jw6huz
title: graph60_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/l3qmmk
title: graph50_8_10.txt
DOI: 10.13130/rd_unimi/gd9okq/rggvwz
title: graph120_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/bj2wfk
title: graph30_8_4.txt
DOI: 10.13130/rd_unimi/gd9okq/psejtd
title: graph120_8_3.txt
DOI: 10.13130/rd_unimi/gd9okq/5ufnmn
title: graph200_8_2.txt
DOI: 10.13130/rd_unimi/gd9okq/aobh6n
title: graph160_8_6.txt
DOI: 10.13130/rd_unimi/gd9okq/rtjjz9
title: graph10_8_9.txt
DOI: 10.13130/rd_unimi/gd9okq/ggwy5e
title: appendix_comparison_complete_graphs_10_50_default_cplex_bc.ods
DOI: 10.13130/rd_unimi/gd9okq/rqpodx
title: graph180_8_8.txt
DOI: 10.13130/rd_unimi/gd9okq/epsxby
title: readme.txt
DOI: 10.13130/rd_unimi/gd9okq/n6xph9
title: appendix_comparison_sparse_graphs_10_50_default_cplex_bc.ods
DOI: 10.13130/rd_unimi/gd9okq/9lzjtz
title: appendix_comparison_complete_graphs_10_50_priority_cplex_bc.ods
DOI: 10.13130/rd_unimi/gd9okq/rf3erj
title: appendix_comparison_sparse_graphs_10_50_priority_cplex_bc.ods
DOI: 10.13130/rd_unimi/flxnmd
title: Replication data for "Comparison of bacterial diversity in wet- and dry-aged beef using traditional microbiology and next generation sequencing"

description: &lt;p&gt; The Wet- and Dry-aged Beef Dataset contains 32 compressed fastq format files, representing the forward and reverse reads of 16 beef strip loins samples that were sequenced in the V3-V4 regione of the 16S rRNA gene. 
Each sample was collected from 60 cm beef stip loins from 1/2 Nellore x Angus young steers at day 0. Samples were then splitted into 2 groups (Dry aging and Wet aging), and undergo a 34-days long aging. Samples were collected at day 20 and at day 34. &lt;p&gt; 

&lt;p&gt; Guidelines to file naming:

&lt;li&gt; Samples were identified with the code V for in natura (untreated) samples, D for samples belonging to dry aging group and W for samples belonging to Wet aging group. 
&lt;li&gt; Those letters were followed by an increasing group-dependent numbering. 
&lt;li&gt; Letters A and B following the number represented the time point of collection: A corresponds to day 20 and B corresponds to day 34.
&lt;li&gt; Identification codes are followed by raw_1 or raw_2, indicating the forward and the reverse read of the sample, respectively.

&lt;p&gt; &lt;i&gt;Example: 
D1A_raw_1.fq.gz corresponds to forward read of the sample 1 of the dry aged group, collected at time point 20.&lt;i&gt;


&lt;p&gt; &lt;b&gt;All files are in fastq format (.fq) and compressed (.gz).&lt;b&gt;
DOI: 10.13130/rd_unimi/57pfim
title: Replication Data for: TMEM219 regulates the transcription factor expression and proliferation of beta cells

description: Data related to the paper by F. D'Addio in Frontiers in Endocrinology, 2024
DOI: 10.13130/rd_unimi/wijkqb
title: Replication Data for: "H-ferritin nanocages: refined strategy for optimized protein production and purification"

description: This dataset aims to collect all raw data published in the manuscript "H-ferritin nanocages: refined strategy for optimized protein production and purification" by Bonizzi A. et al. The scope of the work is to compare two lysis methods and purification protocols using the Clear coli BL21(DE3) strain as a source of HFn nanocages. Please refer to the related publication for details about the methodology of data collection and analysis. All data were loaded in a single file, in seven separate sheets (each related to a specific table or figure in the manuscript).
description: File loaded in MS excel format. Only the first sheet of seven is visible. To see the other sheets is necessary download the file in its original format.
DOI: 10.13130/rd_unimi/iuojv2
title: Replication data for: "Plant nutrients recovery from agro-food wastewaters using microbial electrochemical technologies based on porous biocompatible materials"
title: Microbial communities developed in bioelectrochemical systems with terracotta separators

description: The dataset includes fasta files originated from Illumina sequencing of bacterial and archaeal 16S rRNA genes. The microbial communities were sampled from different matrices of bioelectrochemical systems including terracotta separators.
DOI: 10.13130/rd_unimi/ocm22p
title: Replication data for: "Effectiveness of Permeable Reactive Bio-Barriers for Bioremediation of an Organohalide-Polluted Aquifer by Natural-Occurring Microbial Community"
title: Microbial communities inhabiting groundwater contaminated with chlorinated hydrocarbons

description: This dataset includes sequences generated with Illumina sequencing of bacterial and archaeal 16S rRNA genes of groundwater samples collected in a site contaminated with chlorinated hydrocarbons.
DOI: 10.13130/rd_unimi/td9t4c
title: Replication data for: "Hybrid Catalysts from Copper Biosorbing Bacterial Strains and Their Recycling for Catalytic Application in the Asymmetric Addition Reaction of B2(pin)2 on α,β-Unsaturated Chalcones"
title: Heavy Metals-transforming strains characterization

description: This dataset includes data related to the characterization of bacterial strains able to transform heavy metals.
DOI: 10.13130/rd_unimi/en2tfh
title: LiMe - Liber sententiarum potestatis Mediolani

description: &lt;b&gt;LiMe&lt;/b&gt; is a collection of 325 documents, consisting not only of criminal sentences, but also of many additional notes gathered from the first manuscript of the &lt;i&gt;“Libri sententiarum potestatis Mediolani”&lt;/i&gt; (1385-1429), the oldest known registers of criminal sentences for the city of Milan. The text of every document has been digitized and annotated with named entities, relations between them and events; the texts have been classified depending on the type of document and, in case of criminal sentences, they have been segmented according to a predefined annotation schema.
DOI: 10.13130/rd_unimi/bfq87d
title: Linear Coupling Model

description: Results from quantum rate calculations of dissipative tunneling rates for a linear coupling model.
DOI: 10.13130/rd_unimi/en2tfh/fqrhwt
title: lime.json
DOI: 10.13130/rd_unimi/bfq87d/aup1z9
title: CF_T-175K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/keuil4
title: CF_T-60K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/wdsdyz
title: CF_T-50K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/gmlzid
title: CF_T-125K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/mtpqow
title: CF_T-100K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/b5jusr
title: CF_T-300K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/qrcfdw
title: CF_T-150K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/eidk3k
title: CF_T-70K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/hvics9
title: CF_T-90K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/61a3g8
title: CF_T-80K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/jmd41j
title: CF_T-200K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/7fujco
title: CF_T-250K_modelL.tgz
DOI: 10.13130/rd_unimi/bfq87d/uoinap
title: qreag-Linear.txt
DOI: 10.13130/rd_unimi/bfq87d/swutdu
title: rates-Linear.txt
DOI: 10.13130/rd_unimi/wczxrk
title: NonLinear Coupling Model A

description: Dissipative tunneling rates and correlation function details for a non-linear coupling model (Model A)
DOI: 10.13130/rd_unimi/wczxrk/kp1ine
title: CF_T-60K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/xnbef8
title: CF_T-70K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/bc3yn3
title: CF_T-175K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/gvlmt0
title: CF_T-90K_modelA.tgz
DOI: 10.34740/kaggle/dsv/13778528
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.13130/rd_unimi/wczxrk/7sgbc5
title: rates-NonLinearA.txt
DOI: 10.13130/rd_unimi/wczxrk/zhz8zm
title: CF_T-80K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/3vdi75
title: CF_T-300K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/jjwykr
title: qreag-NonLinearA.txt
DOI: 10.13130/rd_unimi/wczxrk/4riqap
title: CF_T-125K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/xkcrze
title: CF_T-100K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/iai4z6
title: CF_T-50K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/sgxsxy
title: CF_T-150K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/aifmn2
title: CF_T-250K_modelA.tgz
DOI: 10.13130/rd_unimi/wczxrk/foumsd
title: CF_T-200K_modelA.tgz
DOI: 10.13130/rd_unimi/whrhct
title: NonLinear Coupling Model B

description: Dissipative tunneing rates and correlation function details for a non-linear coupling model (Model B)
DOI: 10.13130/rd_unimi/whrhct/4qtesw
title: CF_T-175K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/rttjni
title: rates-NonLinearB.txt
DOI: 10.13130/rd_unimi/whrhct/cetjs7
title: CF_T-90K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/vwwkc9
title: CF_T-60K_modelB.tgz
DOI: 10.15468/dl.z9vexd
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allomaieta grandiflora"
 ]
}

 The dataset includes 33 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042062-251025141854904/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/whrhct/ujnbea
title: CF_T-50K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/wndfke
title: CF_T-300K_modelB.tgz
DOI: 10.15468/dl.8ffnt5
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambystoma mexicanum",
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 331 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042064-251025141854904/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/whrhct/iaaabc
title: CF_T-250K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/odwnm9
title: qreag-NonLinearB.txt
DOI: 10.13130/rd_unimi/whrhct/0ybmfn
title: CF_T-125K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/bos0ch
title: CF_T-70K_modelB.tgz
DOI: 10.15468/dl.2sjafm
title: Occurrence Download

description: A dataset containing 25294 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis invicta"
 ]
}

 The dataset includes 25294 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042063-251025141854904/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/whrhct/efulux
title: CF_T-80K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/xwp7x6
title: CF_T-100K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/b0ll6l
title: CF_T-150K_modelB.tgz
DOI: 10.13130/rd_unimi/whrhct/m3zl2i
title: CF_T-200K_modelB.tgz
DOI: 10.5281/zenodo.17274643
title: Dataset for "An Event-Based Opto-Tactile Skin"

description: This dataset belongs to the paper “An Event-Based Opto-Tactile Skin”.It includes recordings, processing scripts, and analysis data used to evaluate the performance of a soft, large-area tactile sensing system based on Dynamic Vision Sensors (DVS).

The setup uses two DVS cameras in a stereo configuration to detect light changes through a flexible optical waveguide skin. From these events, press locations are estimated using triangulation and DBSCAN clustering. The dataset also contains results related to event rate, latency distribution, and localization accuracy across different pressing trials.

Code and processing scripts are available here: https://github.com/event-driven-robotics/optoskin/tree/main

Contents of the dataset





HDF5 files (.hdf5):





grid_path2_v2_camera1.hdf5 – Event recordings from Camera 1




grid_path2_v2_camera2.hdf5 – Event recordings from Camera 2Each file contains event timestamps (ts) and spatial coordinates (x, y) of detected changes. Data is organized as a dictionary with keys for each event attribute.

Each HDF5 file contains a dictionary of arrays representing the detected events:

 




Key
Description
Units




ts
Event timestamps
seconds (s)


x
X coordinates of events
pixels


y
Y coordinates of events
pixels


pol
Event polarity (+1 for ON, -1 for OFF)
unitless









CSV files (.csv):





snake_grid_press_positions.csv – Recorded positions of tactile presses (in mm), with columns x and y.




centroids_camera1_press1_to_250.csv & centroids_camera2_press1_to_250.csv – Computed centroids of activity for presses 1–250 for each camera. Each row corresponds to a press; columns are X and Y coordinates





File formats





HDF5: Hierarchical format storing arrays for timestamps, x/y positions. Compatible with h5py or bimvee.importHdf5.




CSV: Standard comma-separated values with headers for positions and centroids.



All units are in millimeters (mm) for positions and seconds (s) for timestamps unless otherwise specified.

This dataset is intended for researchers in event-driven perception, robotics, and tactile sensing to reproduce the experiments in the paper or to benchmark new algorithms.
DOI: 10.5281/zenodo.17274644
title: Dataset for "An Event-Based Opto-Tactile Skin"

description: This dataset belongs to the paper “An Event-Based Opto-Tactile Skin”.It includes recordings, processing scripts, and analysis data used to evaluate the performance of a soft, large-area tactile sensing system based on Dynamic Vision Sensors (DVS).

The setup uses two DVS cameras in a stereo configuration to detect light changes through a flexible optical waveguide skin. From these events, press locations are estimated using triangulation and DBSCAN clustering. The dataset also contains results related to event rate, latency distribution, and localization accuracy across different pressing trials.

Code and processing scripts are available here: https://github.com/event-driven-robotics/optoskin/tree/main

Contents of the dataset





HDF5 files (.hdf5):





grid_path2_v2_camera1.hdf5 – Event recordings from Camera 1




grid_path2_v2_camera2.hdf5 – Event recordings from Camera 2Each file contains event timestamps (ts) and spatial coordinates (x, y) of detected changes. Data is organized as a dictionary with keys for each event attribute.

Each HDF5 file contains a dictionary of arrays representing the detected events:

 




Key
Description
Units




ts
Event timestamps
seconds (s)


x
X coordinates of events
pixels


y
Y coordinates of events
pixels


pol
Event polarity (+1 for ON, -1 for OFF)
unitless









CSV files (.csv):





snake_grid_press_positions.csv – Recorded positions of tactile presses (in mm), with columns x and y.




centroids_camera1_press1_to_250.csv & centroids_camera2_press1_to_250.csv – Computed centroids of activity for presses 1–250 for each camera. Each row corresponds to a press; columns are X and Y coordinates





File formats





HDF5: Hierarchical format storing arrays for timestamps, x/y positions. Compatible with h5py or bimvee.importHdf5.




CSV: Standard comma-separated values with headers for positions and centroids.



All units are in millimeters (mm) for positions and seconds (s) for timestamps unless otherwise specified.

This dataset is intended for researchers in event-driven perception, robotics, and tactile sensing to reproduce the experiments in the paper or to benchmark new algorithms.
DOI: 10.5281/zenodo.17640794
title: Wikipedia-Korpus: Korpusquellen der deutschsprachigen Wikipedia im TEI-Format

description: Das Wikipedia-Korpus auf dwds.de enthält Volltexte aus den Artikeln aus der deutschsprachigen Wikipedia auf der Basis des Datenbank-Abzugs vom 1.10. 2025. Texte aus anderen Seitenarten (Diskussionen etc.) wurden nicht aufgenommen.

Das Korpus wurde so konzipiert, dass es sich insbesondere für die Recherche nach (fach)sprachlichen lexikographischen Belegen eignet. Deshalb wurden bei der automatischen Korpuskuration die Artikeltexte so weit wie möglich um Textteile bereinigt, die nicht satzförmig oder nicht deutschsprachig sind. Dies betrifft unter anderem Überschriften, Tabellen, Literaturangaben und fremdsprachliche Zitate, soweit diese in den Wikipedia-Quellen als solche ausgezeichnet sind.

Verfügbar sind hier die Quellen des Wikipedia-Korpus auf dwds.de im XML/TEI-Format als teiCorpus-Datei. Wie die originalen Wikipedia-Artikel stehen sie unter der Lizenz "Creative Commons Attribution/Share Alike".
DOI: 10.13130/rd_unimi/p1oesm
title: Replication Data for: Phospoproteomics of "Glucagon-like peptide 1 receptor is a T cell-negative costimulatory molecule"

description: Data related to the paper by Ben Nasr M in Cell Metabolism 2024
DOI: 10.13130/rd_unimi/dyn4rw
title: Replication Data for: Transcriptomics of "Glucagon-like peptide 1 receptor is a T cell-negative costimulatory molecule"

description: Data related to the paper by Ben Nasr M in Cell Metabolism 2024
DOI: 10.13130/rd_unimi/d7qmde
title: Replication Data for: scRNAseq of "Glucagon-like peptide 1 receptor is a T cell-negative costimulatory molecule"

description: Data related to the paper by Ben Nasr M in Cell Metabolism 2024
DOI: 10.13130/rd_unimi/dz4wsq
title: Replication Data for: Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater

description: The dataset includes five Supplementary Tables for the manuscript entitled "Plant species influences the root system microbiome composition in a constructed wetland receiving primary treated wastewater". The data refer to the taxonomic and functional diversity of bacterial communities inhabiting the root systems of different plants growing in Constructed Wetlands (CWs).
description: Excel, 2016
DOI: 10.13130/rd_unimi/dz4wsq/7z6ptt
title: Supplementary Table 5.tab

description: Results of MIC test for Lactic Acid Bacteria, Klebsiella spp. and Chryseobacterium sp. strains.
DOI: 10.13130/rd_unimi/dz4wsq/hfr7vv
title: Supplementary Table 4.tab

description: Taxonomic identification and fingerprinting profiles (ITS and BOX) assigned to each bacterial strain isolated from Phragmites australis and Typha domingensis plants.
DOI: 10.15468/dl.fpybeu
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.0188 22.94913, -108.8688 22.94913, -108.8688 23.09913, -109.0188 23.09913, -109.0188 22.94913))"
 ]
}

 The dataset includes 260 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042066-251025141854904/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/dz4wsq/7xp7lp
title: Supplementary Table 9.tab

description: Detection and distribution among the samples of KEGG orthologues related to different metabolic pathways (data inferred by Tax4Fun analysis)
DOI: 10.13130/rd_unimi/dz4wsq/w7bqqb
title: Supplementary Table 6.tab

description: ASVs distribution (taxonomical classification at the genus level), and relative abundance of phyla and families in the analyzed samples
DOI: 10.13130/rd_unimi/dz4wsq/mu7pmm
title: Supplementary Table 8.tab

description: Differential abundance analysis comparing shared families between Typha and Phragmites spp. bacterial communities
DOI: 10.13130/rd_unimi/van8nj
title: Replication Data for: Vaccinome landscape in 620,000 patients with diabetes JCEM

description: Supplementary Material