cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29267024
title: A multi-region neural model of learning in large action spaces

description: Motor skill learning involves navigating vast action spaces, making it impractical to learn the value of every possible movement. Computational frameworks have proposed reinforcement learning (RL) models that reduce action space complexity by learning policies over low-dimensional action embeddings. These embeddings, learned in a supervised manner, capture the structure of state transitions, enabling value generalization across similar actions. Here, we link this framework to neuroscience, proposing that motor cortex learns the action embedding space while the basal ganglia learn policies over it using RL.This perspective aligns with recent neural data showing that, contrary to traditional models of basal ganglia function, similar reaching targets are similarly encoded by this region. We show this data could be explained by the basal ganglia learning policies over an action embedding space, where similar actions have similar embeddings. Indeed, simulations of reaching tasks with close or distant targets confirmed that agents trained with actor-critic RL replicated the neural overlap observed for similar actions. Through this framework, we offer a computational view of how these two key motor regions of the brain collaborate to efficiently learn a new skill, identifying a potential mechanism for generalization in the high dimensional space of potential actions afforded by the body.
DOI: 10.6084/m9.figshare.29267024.v1
title: A multi-region neural model of learning in large action spaces

description: Motor skill learning involves navigating vast action spaces, making it impractical to learn the value of every possible movement. Computational frameworks have proposed reinforcement learning (RL) models that reduce action space complexity by learning policies over low-dimensional action embeddings. These embeddings, learned in a supervised manner, capture the structure of state transitions, enabling value generalization across similar actions. Here, we link this framework to neuroscience, proposing that motor cortex learns the action embedding space while the basal ganglia learn policies over it using RL.This perspective aligns with recent neural data showing that, contrary to traditional models of basal ganglia function, similar reaching targets are similarly encoded by this region. We show this data could be explained by the basal ganglia learning policies over an action embedding space, where similar actions have similar embeddings. Indeed, simulations of reaching tasks with close or distant targets confirmed that agents trained with actor-critic RL replicated the neural overlap observed for similar actions. Through this framework, we offer a computational view of how these two key motor regions of the brain collaborate to efficiently learn a new skill, identifying a potential mechanism for generalization in the high dimensional space of potential actions afforded by the body.
DOI: 10.15468/dl.kqvdmd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amietia vandijki (Visser & Channing, 1997)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030564-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28805948
title: NY0229 transcripts and proteome

description: Multisulcus malaysiensis transcripts and proteome from transcriptome sequencing
DOI: 10.6084/m9.figshare.28805948.v1
title: Multisulcus malaysiensis transcripts and proteome

description: Multisulcus malaysiensis transcripts and proteome from transcriptome sequencing
DOI: 10.6084/m9.figshare.28805948.v2
title: NY0229 transcripts and proteome

description: Multisulcus malaysiensis transcripts and proteome from transcriptome sequencing
DOI: 10.5524/102675
title: Supporting data for "CompactTree: A lightweight header-only C++ library and Python wrapper for ultra-large phylogenetics"

description: The study of viral and bacterial species requires the ability to load and traverse ultra-large phylogenies with tens of millions of tips, but existing tree libraries struggle to scale to these sizes. We introduce CompactTree, a lightweight header-only C++ library with a user-friendly Python wrapper for traversing ultra-large trees that can be easily incorporated into other tools, and we show that it is orders of magnitude faster and requires orders of magnitude less memory than existing tree packages. CompactTree is freely accessible as an open source project: https://github.com/niemasd/CompactTree
DOI: 10.6084/m9.figshare.29269292
title: The Voynich Manuscript Full Decode Part 1 of 3

description: This is the first of three parts of the Voynich Decode.
DOI: 10.6084/m9.figshare.29269292.v1
title: The Voynich Manuscript Full Decode Part 1 of 3

description: This is the first of three parts of the Voynich Decode.
DOI: 10.5524/102694
title: Supporting data for "Efficiently Constructing Complete Genomes with CycloneSEQ to Fill Gaps in Bacterial Draft Assemblies"

description: Current microbial sequencing relies on short-read platforms like Illumina and DNBSEQ, favored for their low cost and high accuracy. However, these methods often produce fragmented draft genomes, hindering comprehensive bacterial function analysis. CycloneSEQ, a novel long-read sequencing platform developed by BGI-Research, its sequencing performance and assembly improvements has been evaluated. <br>Using CycloneSEQ long-read sequencing, the type strain produced long reads with an average length of 11.6 kbp and an average quality score of 14.4. After hybrid assembly with short reads data, the assembled genome exhibited an error rate of only 0.04 mismatches and 0.08 indels per 100 kbp compared to the reference genome. This method was validated across 9 diverse species, successfully assembling complete circular genomes. Hybrid assembly significantly enhances genome completeness by using long reads to fill gaps and accurately assemble multi-copy rRNA genes, which unable be achieved by short reads solely. Through data subsampling, we found that over 500 Mbp of short-read data combined with 100 Mbp of long-read data can result in a high-quality circular assembly. Additionally, using CycloneSEQ long reads effectively improves the assembly of circular complete genomes from mixed microbial communities. <br>CycloneSEQs read length is sufficient for circular bacterial genomes, but its base quality needs improvement. Integrating DNBSEQ short reads improved accuracy, resulting in complete and accurate assemblies. This efficient approach can be widely applied in microbial sequencing.
DOI: 10.15468/dl.2sbbf5
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassia arachnoidea Barb.Rodr."
 ]
}

 The dataset includes 30 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149084-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3tdye
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana xanthonannos Harry Sm."
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008252-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfucen
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaedorea foveata Hodel"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149086-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm3e3g
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clavija sanctae-martae B.Ståhl"
 ]
}

 The dataset includes 58 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0149085-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.undh2w
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A review of the systematics of western North Pacific angel sharks, genus Squatina, with redescriptions of Squatina formosa, S. japonica, and S. nebulosa (Chondrichthyes: Squatiniformes, Squatinidae)."
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044623-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkdmb7
title: Occurrence Download

description: A dataset containing 8608 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica aphylla L."
 ]
}

 The dataset includes 8608 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225583-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ictvpz
title: Occurrence Download

description: A dataset containing 2212626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chiroptera",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2212626 records from 777 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044625-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g367dg
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Daubentoniidae"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237445-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwfz83
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Boechera crandallii (B.L.Rob.) W.A.Weber)"
 ]
}

 The dataset includes 248 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008307-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtopqt
title: Occurrence Download

description: A dataset containing 85033 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Geometry POLYGON((111.48684210526318 22.967105263157904,115.48684210526318 22.967105263157904,115.48684210526318 26.967105263157904,111.48684210526318 26.967105263157904,111.48684210526318 22.967105263157904))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 85033 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044625-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ymskz
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gethyllis namaquensis (Schönland) Oberm."
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012180-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg9v7u
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apionichthys finis (Eigenmann, 1912)"
 ]
}

 The dataset includes 45 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243140-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.happjd
title: Occurrence Download

description: A dataset containing 4128342 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Year 1997-1999",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 4128342 records from 1251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044627-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/pqs0li/0fej6q
title: 20161124_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/bc1dxs
title: 20160402_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/binz2i
title: 20160704_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/bkaf00
title: 20161117_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/f848sw
title: 20160628_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/iubqxv
title: 20160504_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/kzktnq
title: 20160422_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/ny2sp9
title: 20161104_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/sdnvij
title: 20161215_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/ttlgdr
title: 20160325_NYA_REDTEC_gps.txt
DOI: 10.13130/rd_unimi/ddgjj6/ads0kd
title: Luglio_1922_Pagina_045.jpg

description: Bulletin of 1922/07/08
DOI: 10.13130/rd_unimi/ddgjj6/qdz6px
title: Luglio_1922_Pagina_046.jpg

description: Bulletin of 1922/07/08
DOI: 10.13130/rd_unimi/lxn1qi/6f2ay0
title: Ottobre_1923_Pagina_061.jpg

description: Bulletin of 1923/10/16
DOI: 10.13130/rd_unimi/ddgjj6/xqm5a1
title: Luglio_1922_Pagina_047.jpg

description: Bulletin of 1922/07/08
DOI: 10.13130/rd_unimi/lxn1qi/ekeouj
title: Ottobre_1923_Pagina_062.jpg

description: Bulletin of 1923/10/16
DOI: 10.13130/rd_unimi/ddgjj6/uqxl4r
title: Luglio_1922_Pagina_048.jpg

description: Bulletin of 1922/07/08
DOI: 10.13130/rd_unimi/lxn1qi/noy9qh
title: Ottobre_1923_Pagina_063.jpg

description: Bulletin of 1923/10/16
DOI: 10.13130/rd_unimi/lxn1qi/sjw0lv
title: Ottobre_1923_Pagina_064.jpg

description: Bulletin of 1923/10/16
DOI: 10.18710/aox254/3rm3ty
title: 20170626_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/eq03d2
title: 20170825_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/grrubp
title: 20170709_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/icd3am
title: 20170123_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/t8qzno
title: 20170703_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/yk87is
title: 20171207_BJN_REDOBS_glo.txt
DOI: 10.18710/mdepnh/kmtuei
title: 20170127_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/txhclq
title: 20171109_KHO_REDOBS_gal.txt
DOI: 10.18710/mdepnh/wfncru
title: 20171003_KHO_REDOBS_glo.txt
DOI: 10.18710/pqs0li/rnrofo
title: 20161027_NYA_REDTEC_gal.txt
DOI: 10.13130/rd_unimi/ddgjj6/a9rxto
title: Luglio_1922_Pagina_049.jpg

description: Bulletin of 1922/07/09
DOI: 10.18710/aox254/hb6bel
title: 20171225_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/jvyuar
title: 20170723_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/ugmnmz
title: 20170228_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/utf2hu
title: 20170419_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/ytyzcg
title: 20171227_BJN_REDOBS_gal.txt
DOI: 10.18710/mdepnh/90yoom
title: 20170115_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/mdsgrv
title: 20170701_KHO_REDOBS_glo.txt
DOI: 10.18710/pqs0li/0vxmdo
title: 20161216_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/1rdvaz
title: 20160611_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/aulims
title: 20160529_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/mfsrbk
title: 20160309_NYA_REDTEC_gps.txt
DOI: 10.13130/rd_unimi/ddgjj6/sbssrw
title: Luglio_1922_Pagina_050.jpg

description: Bulletin of 1922/07/09
DOI: 10.13130/rd_unimi/lxn1qi/b6h0bz
title: Ottobre_1923_Pagina_065.jpg

description: Bulletin of 1923/10/17
DOI: 10.13130/rd_unimi/lxn1qi/kkvdgg
title: Ottobre_1923_Pagina_066.jpg

description: Bulletin of 1923/10/17
DOI: 10.18710/aox254/ogy8e6
title: 20170311_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/siazfd
title: 20170810_BJN_REDOBS_gal.txt
DOI: 10.18710/pqs0li/0rdmfv
title: 20160710_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/6vu9k8
title: 20160329_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/7mzepw
title: 20160513_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/oevd3x
title: 20161127_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/wdde9o
title: 20160127_NYA_REDTEC_gps.txt
DOI: 10.13130/rd_unimi/ddgjj6/6dllgd
title: Luglio_1922_Pagina_051.jpg

description: Bulletin of 1922/07/09
DOI: 10.13130/rd_unimi/lxn1qi/n2g5yz
title: Ottobre_1923_Pagina_067.jpg

description: Bulletin of 1923/10/17
DOI: 10.17026/dans-zjc-w6cz
title: Vragenlijsten Dialectologie Plantennamen

description: &lt;p&gt;Vragenlijsten m.b.t. plantennamen&lt;/p&gt;
DOI: 10.13130/rd_unimi/ddgjj6/09vgyr
title: Luglio_1922_Pagina_052.jpg

description: Bulletin of 1922/07/09
DOI: 10.13130/rd_unimi/ddgjj6/3f9jzw
title: Luglio_1922_Pagina_053.jpg

description: Bulletin of 1922/07/09
DOI: 10.13130/rd_unimi/lxn1qi/lmfbsk
title: Ottobre_1923_Pagina_068.jpg

description: Bulletin of 1923/10/17
DOI: 10.15468/dl.5tnrq9
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Malaise Trap Project (SMTP) - Neorhacodes"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054535-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18710/mdepnh/4wu9km
title: 20171112_KHO_REDOBS_glo.txt
DOI: 10.18710/mdepnh/76gltd
title: 20170730_KHO_REDOBS_gal.txt
DOI: 10.18710/mdepnh/f34dpg
title: 20170903_KHO_REDOBS_glo.txt
DOI: 10.18710/mdepnh/gn82fg
title: 20170227_KHO_REDOBS_glo.txt
DOI: 10.18710/mdepnh/mg2zzt
title: 20170722_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/yt7xpk
title: 20170719_KHO_REDOBS_gps.txt
DOI: 10.18710/pqs0li/hchv2y
title: 20161124_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/hisqnq
title: 20160705_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/iq6hwc
title: 20160910_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/lndu7b
title: 20160727_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/muksqb
title: 20160123_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/mxfnlx
title: 20160123_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/p8hne7
title: 20160712_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/rhomac
title: 20160621_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/tl8dkf
title: 20160109_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/vjhvjf
title: 20160826_NYA_REDTEC_gps.txt
DOI: 10.13130/rd_unimi/ddgjj6/3buwln
title: Luglio_1922_Pagina_054.jpg

description: Bulletin of 1922/07/09
DOI: 10.13130/rd_unimi/lxn1qi/w9jzhp
title: Ottobre_1923_Pagina_069.jpg

description: Bulletin of 1923/10/18
DOI: 10.18710/aox254/3cvrox
title: 20170707_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/bvwnqh
title: 20170123_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/g80acz
title: 20170209_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/iyec1a
title: 20171005_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/v98so9
title: 20170129_BJN_REDOBS_gps.txt
DOI: 10.18710/mdepnh/5wbrge
title: 20170901_KHO_REDOBS_glo.txt
DOI: 10.18710/mdepnh/9ncw7n
title: 20170225_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/jonm9i
title: 20171031_KHO_REDOBS_gal.txt
DOI: 10.18710/mdepnh/kes2m9
title: 20170408_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/pmy6ys
title: 20171122_KHO_REDOBS_glo.txt
DOI: 10.18710/mdepnh/son7ak
title: 20171018_KHO_REDOBS_gps.txt
DOI: 10.18710/mdepnh/x0rbvr
title: 20170620_KHO_REDOBS_gal.txt
DOI: 10.18710/mdepnh/zyn53q
title: 20171109_KHO_REDOBS_gps.txt
DOI: 10.18710/pqs0li/3pzl1g
title: 20161014_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/6q0nms
title: 20161002_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/if5ad3
title: 20160828_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/lebwva
title: 20161008_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/rysp04
title: 20160714_NYA_REDTEC_gal.txt
DOI: 10.13130/rd_unimi/ddgjj6/fmpix7
title: Luglio_1922_Pagina_055.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/lxn1qi/1oegaz
title: Ottobre_1923_Pagina_071.jpg

description: Bulletin of 1923/10/18
DOI: 10.13130/rd_unimi/lxn1qi/qw0mc3
title: Ottobre_1923_Pagina_070.jpg

description: Bulletin of 1923/10/18
DOI: 10.18710/mdepnh/kllxgf
title: 20171102_KHO_REDOBS_gps.txt
DOI: 10.18710/pqs0li/jcrqbw
title: 20160323_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/ukypql
title: 20161118_NYA_REDTEC_gal.txt
DOI: 10.13130/rd_unimi/ddgjj6/uczroo
title: Luglio_1922_Pagina_056.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/lxn1qi/i1yjdx
title: Ottobre_1923_Pagina_072.jpg

description: Bulletin of 1923/10/18
DOI: 10.18710/aox254/zns6dy
title: 20170305_BJN_REDOBS_gal.txt
DOI: 10.18710/pqs0li/gz3o3q
title: 20160907_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/snphbm
title: 20160805_NYA_REDTEC_gal.txt
DOI: 10.18710/pqs0li/vnnclf
title: 20160525_NYA_REDTEC_glo.txt
DOI: 10.18710/pqs0li/yb3uyv
title: 20160422_NYA_REDTEC_gps.txt
DOI: 10.18710/pqs0li/zbcpy2
title: 20160325_NYA_REDTEC_gal.txt
DOI: 10.13130/rd_unimi/ddgjj6/vurbkm
title: Luglio_1922_Pagina_057.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/lxn1qi/tkqxod
title: Ottobre_1923_Pagina_073.jpg

description: Bulletin of 1923/10/19
DOI: 10.18710/aox254/9zcyrf
title: 20170521_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/bs2ubo
title: 20170307_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/by0nkk
title: 20170319_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/bzccyn
title: 20170328_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/ei7rl0
title: 20171108_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/ftwjij
title: 20171001_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/gmc7yf
title: 20171231_BJN_REDOBS_gal.txt
DOI: 10.18710/aox254/myseff
title: 20170326_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/uaywg9
title: 20170126_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/v3bp82
title: 20170205_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/vrcptf
title: 20171111_BJN_REDOBS_glo.txt
DOI: 10.18710/aox254/xp68dt
title: 20170820_BJN_REDOBS_gps.txt
DOI: 10.18710/aox254/zsrjyi
title: 20170518_BJN_REDOBS_glo.txt
DOI: 10.18710/mdepnh/7mgiaz
title: 20170116_KHO_REDOBS_gal.txt
DOI: 10.13130/rd_unimi/ddgjj6/7tewxm
title: Luglio_1922_Pagina_059.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/ddgjj6/hefokj
title: Luglio_1922_Pagina_058.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/lxn1qi/d4e7zl
title: Ottobre_1923_Pagina_074.jpg

description: Bulletin of 1923/10/19
DOI: 10.13130/rd_unimi/ddgjj6/o2ni8q
title: Luglio_1922_Pagina_060.jpg

description: Bulletin of 1922/07/10
DOI: 10.13130/rd_unimi/lxn1qi/g5klmf
title: Ottobre_1923_Pagina_075.jpg

description: Bulletin of 1923/10/19