cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dde8f6
title: Occurrence Download

description: A dataset containing 3487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 10000.0-1000000.0",
 "DatasetKey is National Mammal Atlas Project, online recording",
 "Geometry POLYGON((-8.09738 58.30257,-6.41401 56.22661,-4.94106 53.81491,-5.94056 52.0717,-5.04627 51.25599,-5.88796 50.79276,-5.62493 49.44364,1.00334 50.49252,1.73982 51.35465,2.63411 52.23308,1.16116 53.31503,-0.46961 54.79702,-2.10037 59.1491,-8.09738 58.30257))",
 "HasGeospatialIssue is false",
 "Year 1973-2023"
 ]
}

 The dataset includes 3487 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035518-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv6swp
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amphibromus archeri (Hook.f.) P.Morris"
 ]
}

 The dataset includes 519 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0411142-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmc3i1
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptotis phillipsii (Schaldach, 1966)"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cgjsm
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrcia maxima (Mc Vaugh) A.R.Lourenço & Parra-Os."
 ]
}

 The dataset includes 81 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179364-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oyjeq1
title: Occurrence Download

description: A dataset containing 193463 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Chinese Taipei",
 "Country is China",
 "Country is Korea, Republic of",
 "Country is Japan",
 "Country is Viet Nam",
 "Country is Russian Federation",
 "Country is Korea (Democratic People’s Republic of)",
 "Country is Hong Kong",
 "Country is Myanmar",
 "Country is Lao People’s Democratic Republic"
 ]
 },
 "Geometry POLYGON((97.55859 21.28937,149.94141 21.28937,149.94141 54.57206,97.55859 54.57206,97.55859 21.28937))",
 "TaxonKey is Anura",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193463 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009053-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqe5zj
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium aduncum Lindl."
 ]
}

 The dataset includes 191 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007892-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edyczv
title: Occurrence Download

description: A dataset containing 1230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Salvelinus malma (Walbaum, 1792)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1230 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y28895
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryobota labecula Esper"
 ]
}

 The dataset includes 255 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090723-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.31iwcm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ruellia novogaliciana T.F.Daniel",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-171109162308116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f22daf
title: Occurrence Download

description: A dataset listing the 1134 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Cuba",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 1134 records were derived from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060898-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jwscs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-18.77236 26.50455,-6.29476 26.50455,-6.29476 31.49842,-18.77236 31.49842,-18.77236 26.50455))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euaugaptilus paroblongus Matthews, 1972"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066244-241126133413365/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.28194320.v1
title: Supplementary Table<b> </b>of <b>A</b><b> </b><b>n</b><b>ovel lncRNA</b><b>, </b><b>OslncBR3</b><b>,</b><b> </b><b>positively r</b><b>egulat</b><b>es</b><b> </b><b>r</b><b>ice </b><b>r</b><b>esistance</b><b>to b</b><b>last</b><b>fungus (</b><b>Magnaporthe grisea</b><b>)</b>

description: In this study, 6,978 lncRNAs with reliable expression were cross-verified in rice under the infection of blast fungus. A novel lncRNA, tentatively named OslnBR3, regulating rice immunity to blast fungus was identified through the co-expression network of disease resistance-related mRNAs and lncRNAs. Finally, by using genetic and molecular biology methods, OslnBR3 was confirmed to regulate the expression of Os11g0227100 and Os11g0227800 to resist the infection of blast fungus and its functional mechanism was illustrated.
DOI: 10.5281/zenodo.14609557
title: An atmospheric predictor to estimate the water level at the coast of South Brazil

description: This repository contains the dataset used in the study "An Atmospheric Predictor to Estimate the Atmospherically Induced Water Level at Coasts with a Shallow Continental Shelf".

Dataset Description:Predictor.mat- The optimal predictor was derived from Sea Level Pressure (SLP) and Sea Level Pressure Gradient (SLPG) fields over the South Atlantic region.- These fields were adjusted to account for the propagation times of waves and surges from their generation areas to a target point on the coast of southern Brazil.- To reduce dimensionality, Principal Component Analysis (PCA) was applied. The predictor is represented as the time series of the Principal Components (PCs) that collectively explain 99% of the dataset's variance.

Predictand.matTime series of:- Runup = Wave runup- SS = storm surge- AWL = Total water level at the coast, resulting from atmospheric forcings (SS + Runup).

 

More details on the methodology to define predictor and predictand can be found in the pre-print version of the study: https://doi.org/10.22541/essoar.173655501.11664490/v1
DOI: 10.5281/zenodo.14609558
title: An atmospheric predictor to estimate the water level at the coast of South Brazil

description: This repository contains the dataset used in the study "An Atmospheric Predictor to Estimate the Atmospherically Induced Water Level at Coasts with a Shallow Continental Shelf".

Dataset Description:Predictor.mat- The optimal predictor was derived from Sea Level Pressure (SLP) and Sea Level Pressure Gradient (SLPG) fields over the South Atlantic region.- These fields were adjusted to account for the propagation times of waves and surges from their generation areas to a target point on the coast of southern Brazil.- To reduce dimensionality, Principal Component Analysis (PCA) was applied. The predictor is represented as the time series of the Principal Components (PCs) that collectively explain 99% of the dataset's variance.

Predictand.matTime series of:- Runup = Wave runup- SS = storm surge- AWL = Total water level at the coast, resulting from atmospheric forcings (SS + Runup).

 

More details on the methodology to define predictor and predictand can be found in the pre-print version of the study: https://doi.org/10.22541/essoar.173655501.11664490/v1
DOI: 10.6084/m9.figshare.28194425
title: research form responses: The Influence of Environmental, Social, and Governance (ESG) Factors on Investment Decisions: India's Perspective

description: Environmental, Social, and Governance (ESG) factors have become pivotal in shaping investment decisions worldwide, yet their influence within emerging markets like In-dia remains insufficiently examined. This study aims to explore the impact of ESG fac-tors on investment decisions among Indian investors, with a specific focus on how in-vestment horizon moderates this relationship. Employing a quantitative, cross-sectional research design, data were collected from 370 Indian investors through structured questionnaires. Reliability analysis confirmed the internal consistency of the constructs, followed by correlation and multiple regression analyses to evaluate the direct effects of ESG factors on investment decisions. Furthermore, moderation analysis using the PROCESS macro revealed that investment horizon significantly influences the strength of these relationships. The findings indicate that all three ESG dimensions positively affect investment decisions, with Governance factors exerting the most substantial impact. Additionally, investment horizon moderates the ESG-investment relationship, particularly demonstrating that short-term investors place‎ greater emphasis on governance factors compared to their long-term counter-parts. These results provide valuable insights for investors, policymakers, and corporations aiming to enhance sustainable investment practices in India, thereby contributing to the broader understanding of ESG integration in emerging financial markets.
DOI: 10.6084/m9.figshare.28194425.v1
title: research form responses: The Influence of Environmental, Social, and Governance (ESG) Factors on Investment Decisions: India's Perspective

description: Environmental, Social, and Governance (ESG) factors have become pivotal in shaping investment decisions worldwide, yet their influence within emerging markets like In-dia remains insufficiently examined. This study aims to explore the impact of ESG fac-tors on investment decisions among Indian investors, with a specific focus on how in-vestment horizon moderates this relationship. Employing a quantitative, cross-sectional research design, data were collected from 370 Indian investors through structured questionnaires. Reliability analysis confirmed the internal consistency of the constructs, followed by correlation and multiple regression analyses to evaluate the direct effects of ESG factors on investment decisions. Furthermore, moderation analysis using the PROCESS macro revealed that investment horizon significantly influences the strength of these relationships. The findings indicate that all three ESG dimensions positively affect investment decisions, with Governance factors exerting the most substantial impact. Additionally, investment horizon moderates the ESG-investment relationship, particularly demonstrating that short-term investors place‎ greater emphasis on governance factors compared to their long-term counter-parts. These results provide valuable insights for investors, policymakers, and corporations aiming to enhance sustainable investment practices in India, thereby contributing to the broader understanding of ESG integration in emerging financial markets.
DOI: 10.15468/dl.uhf4rb
title: Occurrence Download

description: A dataset containing 5323 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, familyKey, family, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND (continent = 'EUROPE' OR countrycode = 'BE') AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND familyKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL)AND familyKey IN (5666)AND coordinateUncertaintyInMeters &lt;= 10000GROUP BY "year", eeaCellCode, classKey, class, familyKey, family ORDER BY "year" DESC, eeaCellCode ASC, familyKey ASC;

 The dataset's 5323 records were derived from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066218-241126133413365/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.28194320.v2
title: Supplementary Table of <b>A</b><b> </b><b>n</b><b>ovel lncRNA</b><b>, </b><b>OslncBR3</b><b>,</b><b> </b><b>positively r</b><b>egulat</b><b>es</b><b> </b><b>r</b><b>ice </b><b>r</b><b>esistance</b><b>to b</b><b>last</b><b>fungus (</b><b>Magnaporthe grisea</b><b>)</b><b> </b>of <b>A</b><b> </b><b>n</b><b>ovel lncRNA</b><b>, </b><b>OslncBR3</b><b>,</b><b> </b><b>positively r</b><b>egulat</b><b>es</b><b> </b><b>r</b><b>ice </b><b>r</b><b>esistance</b><b>to b</b><b>last</b><b>fungus (</b><b>Magnaporthe grisea</b><b>)</b>

description: Table S1 Statistics of RNA sequencing data.Table S2 All clean reads were mapping to IRGSP-1.0.Table S3 All lncRNAs were identified from 16 samples.Table S4 Prediction of cis-targets of all lncRNAs.Table S5 The expression levels of all transcripts based on TPM.Table S6 Differentially expression analysis of all transcripts.Table S7 Functional analysis of all transcripts.Table S8 Disease resistance-related pathways of lncRNAs-targeted DEmRNAs.Table S8 The expression levels data used for training lasso modelTable S9 The expression levels data used for training lasso modelTable S10 Coefficients of lasso model<br>
DOI: 10.15468/dl.xmt5gs
title: Occurrence Download

description: A dataset containing 473146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Charadrius alexandrinus Linnaeus, 1758"
 ]
}

 The dataset includes 473146 records from 635 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066234-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14335444
title: 2D_Brains_Livers_Pos_and_Neg
DOI: 10.5281/zenodo.14335445
title: 2D_Brains_Livers_Pos_and_Neg
DOI: 10.15468/dl.s245zc
title: Occurrence Download

description: A dataset containing 7261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gelidium pusillum (Stackhouse) Le Jolis"
 ]
}

 The dataset includes 7261 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066249-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/c2a0de41fd314d3f
title: Custom collection of Doppler lidar wind data from Cabauw between 1 and 30 May 2022
DOI: 10.15468/dl.hh7jq4
title: Occurrence Download

description: A dataset listing the 226 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Endemic Insects of Vietnam"
 ]
}

 The dataset's 226 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066236-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5y3bjh
title: Occurrence Download

description: A dataset containing 23662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cladophora rupestris (L.) Kütz."
 ]
}

 The dataset includes 23662 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066250-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyqrdg
title: Occurrence Download

description: A dataset containing 831139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus spinosa L."
 ]
}

 The dataset includes 831139 records from 3446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066242-241126133413365/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/tdflym/xeuhrv
title: Gennaio_1899_Pagina_086.jpg

description: Bulletin of 1899/01/22
DOI: 10.13130/rd_unimi/6g4l2b/l5de9j
title: Gennaio_1904_Pagina_041.jpg

description: Bulletin of 1904/01/11
DOI: 10.13130/rd_unimi/depg5t/quwv7t
title: Gennaio_1898_Pagina_099.jpg

description: Bulletin of 1898/01/25
DOI: 10.13130/rd_unimi/gwa1r1/k9jdez
title: Gennaio_1901_Pagina_064.jpg

description: Bulletin of 1901/01/16
DOI: 10.13130/rd_unimi/7sax9x/vkkkot
title: Gennaio_1902_Pagina_043.jpg

description: Bulletin of 1902/01/11
DOI: 10.13130/rd_unimi/me79ng/2b3mbj
title: Gennaio_1903_Pagina_045.jpg

description: Bulletin of 1903/01/12
DOI: 10.13130/rd_unimi/tdflym/t188sa
title: Gennaio_1899_Pagina_087.jpg

description: Bulletin of 1899/01/22
DOI: 10.13130/rd_unimi/6g4l2b/snfydg
title: Gennaio_1904_Pagina_042.jpg

description: Bulletin of 1904/01/11
DOI: 10.13130/rd_unimi/depg5t/gmb32p
title: Gennaio_1898_Pagina_100.jpg

description: Bulletin of 1898/01/25
DOI: 10.13130/rd_unimi/7sax9x/4y1spa
title: Gennaio_1902_Pagina_044.jpg

description: Bulletin of 1902/01/11
DOI: 10.13130/rd_unimi/gwa1r1/uvdaom
title: Gennaio_1901_Pagina_065.jpg

description: Bulletin of 1901/01/17
DOI: 10.13130/rd_unimi/me79ng/2dvul8
title: Gennaio_1903_Pagina_046.jpg

description: Bulletin of 1903/01/12
DOI: 10.13130/rd_unimi/tdflym/ne7f8f
title: Gennaio_1899_Pagina_088.jpg

description: Bulletin of 1899/01/22
DOI: 10.13130/rd_unimi/6g4l2b/lxcqvn
title: Gennaio_1904_Pagina_043.jpg

description: Bulletin of 1904/01/11
DOI: 10.13130/rd_unimi/depg5t/muawul
title: Gennaio_1898_Pagina_101.jpg

description: Bulletin of 1898/01/26
DOI: 10.13130/rd_unimi/gwa1r1/wuw4pa
title: Gennaio_1901_Pagina_066.jpg

description: Bulletin of 1901/01/17
DOI: 10.13130/rd_unimi/7sax9x/voz14v
title: Gennaio_1902_Pagina_045.jpg

description: Bulletin of 1902/01/12
DOI: 10.13130/rd_unimi/me79ng/8afdk2
title: Gennaio_1903_Pagina_047.jpg

description: Bulletin of 1903/01/12
DOI: 10.13130/rd_unimi/tdflym/m2lydj
title: Gennaio_1899_Pagina_089.jpg

description: Bulletin of 1899/01/23
DOI: 10.13130/rd_unimi/6g4l2b/5e0mlw
title: Gennaio_1904_Pagina_044.jpg

description: Bulletin of 1904/01/11
DOI: 10.13130/rd_unimi/gwa1r1/hh8mjm
title: Gennaio_1901_Pagina_067.jpg

description: Bulletin of 1901/01/17
DOI: 10.13130/rd_unimi/7sax9x/wfmvvg
title: Gennaio_1902_Pagina_046.jpg

description: Bulletin of 1902/01/12
DOI: 10.13130/rd_unimi/depg5t/sepffn
title: Gennaio_1898_Pagina_102.jpg

description: Bulletin of 1898/01/26
DOI: 10.13130/rd_unimi/me79ng/dwnrsx
title: Gennaio_1903_Pagina_048.jpg

description: Bulletin of 1903/01/12
DOI: 10.13130/rd_unimi/6g4l2b/959irr
title: Gennaio_1904_Pagina_045.jpg

description: Bulletin of 1904/01/12
DOI: 10.13130/rd_unimi/tdflym/ik4b1j
title: Gennaio_1899_Pagina_090.jpg

description: Bulletin of 1899/01/23
DOI: 10.13130/rd_unimi/7sax9x/hwdhcd
title: Gennaio_1902_Pagina_047.jpg

description: Bulletin of 1902/01/12
DOI: 10.13130/rd_unimi/depg5t/cs4apy
title: Gennaio_1898_Pagina_103.jpg

description: Bulletin of 1898/01/26
DOI: 10.13130/rd_unimi/gwa1r1/pybwl3
title: Gennaio_1901_Pagina_068.jpg

description: Bulletin of 1901/01/17
DOI: 10.13130/rd_unimi/me79ng/zhfvsx
title: Gennaio_1903_Pagina_049.jpg

description: Bulletin of 1903/01/13
DOI: 10.17026/ar/qljurf
title: PAN-00167155 - Renaissance ring met canellured box bezel

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00167155&lt;/p&gt;
description: Modified: 2025-05-06T15:37:31+02:00
DOI: 10.13130/rd_unimi/6g4l2b/bfwfts
title: Gennaio_1904_Pagina_046.jpg

description: Bulletin of 1904/01/12
DOI: 10.13130/rd_unimi/tdflym/x1m98y
title: Gennaio_1899_Pagina_091.jpg

description: Bulletin of 1899/01/23
DOI: 10.13130/rd_unimi/7sax9x/5rtpro
title: Gennaio_1902_Pagina_048.jpg

description: Bulletin of 1902/01/12
DOI: 10.13130/rd_unimi/depg5t/yvz1qm
title: Gennaio_1898_Pagina_104.jpg

description: Bulletin of 1898/01/26
DOI: 10.13130/rd_unimi/gwa1r1/2aowq8
title: Gennaio_1901_Pagina_069.jpg

description: Bulletin of 1901/01/18
DOI: 10.13130/rd_unimi/me79ng/1zxf0m
title: Gennaio_1903_Pagina_050.jpg

description: Bulletin of 1903/01/13
DOI: 10.13130/rd_unimi/6g4l2b/dzkqdk
title: Gennaio_1904_Pagina_047.jpg

description: Bulletin of 1904/01/12
DOI: 10.13130/rd_unimi/tdflym/4r1g0c
title: Gennaio_1899_Pagina_092.jpg

description: Bulletin of 1899/01/23
DOI: 10.13130/rd_unimi/7sax9x/xzyrqh
title: Gennaio_1902_Pagina_049.jpg

description: Bulletin of 1902/01/13
DOI: 10.13130/rd_unimi/depg5t/vmvd2w
title: Gennaio_1898_Pagina_105.jpg

description: Bulletin of 1898/01/27
DOI: 10.13130/rd_unimi/me79ng/knp1db
title: Gennaio_1903_Pagina_051.jpg

description: Bulletin of 1903/01/13
DOI: 10.13130/rd_unimi/6g4l2b/fldtbt
title: Gennaio_1904_Pagina_048.jpg

description: Bulletin of 1904/01/12
DOI: 10.13130/rd_unimi/gwa1r1/46qren
title: Gennaio_1901_Pagina_070.jpg

description: Bulletin of 1901/01/18
DOI: 10.13130/rd_unimi/tdflym/eaqatq
title: Gennaio_1899_Pagina_093.jpg

description: Bulletin of 1899/01/24
DOI: 10.13130/rd_unimi/depg5t/42gwia
title: Gennaio_1898_Pagina_106.jpg

description: Bulletin of 1898/01/27
DOI: 10.13130/rd_unimi/me79ng/bdkhzq
title: Gennaio_1903_Pagina_052.jpg

description: Bulletin of 1903/01/13
DOI: 10.13130/rd_unimi/6g4l2b/tim6vy
title: Gennaio_1904_Pagina_049.jpg

description: Bulletin of 1904/01/13
DOI: 10.13130/rd_unimi/7sax9x/cwielu
title: Gennaio_1902_Pagina_050.jpg

description: Bulletin of 1902/01/13