cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/epaoaq/lbm52e
title: Marzo_1881_Pagina_061.jpg

description: Bulletin of 1881/03/16
DOI: 10.13130/rd_unimi/epaoaq/ubybpg
title: Marzo_1881_Pagina_062.jpg

description: Bulletin of 1881/03/16
DOI: 10.13130/rd_unimi/epaoaq/oc06wu
title: Marzo_1881_Pagina_063.jpg

description: Bulletin of 1881/03/16
DOI: 10.13130/rd_unimi/epaoaq/89zsfa
title: Marzo_1881_Pagina_064.jpg

description: Bulletin of 1881/03/16
DOI: 10.13130/rd_unimi/epaoaq/py2c39
title: Marzo_1881_Pagina_065.jpg

description: Bulletin of 1881/03/17
DOI: 10.13130/rd_unimi/epaoaq/usqvi6
title: Marzo_1881_Pagina_066.jpg

description: Bulletin of 1881/03/17
DOI: 10.13130/rd_unimi/epaoaq/ylgouu
title: Marzo_1881_Pagina_067.jpg

description: Bulletin of 1881/03/17
DOI: 10.13130/rd_unimi/epaoaq/ab1zlq
title: Marzo_1881_Pagina_068.jpg

description: Bulletin of 1881/03/17
DOI: 10.13130/rd_unimi/epaoaq/uzuakf
title: Marzo_1881_Pagina_069.jpg

description: Bulletin of 1881/03/18
DOI: 10.13130/rd_unimi/epaoaq/euzdqp
title: Marzo_1881_Pagina_070.jpg

description: Bulletin of 1881/03/18
DOI: 10.5281/zenodo.17878533
title: EJP SOIL SANCHOSTHIRST Soil Dataset – 15 Paired sites

description: This dataset forms part of the H2020 EJP-SOIL project SANCHOSTHIRST, which investigates soil degradation and the role of cover crops in semi-arid vineyards and olive groves across 15 sites in Spain. Data set represents soil physicochemical and biological properties collected once in autumn 2023 at two depths (10 and 30 cm). Measurements include pH, EC, soil texture, organic carbon, nitrogen, water retention parameters, bulk density, microbial activity (β-glucosidase), and above and below-ground biomass. 

Each record contains site-specific coordinates.

Data are provided as Excel files and follow FAIR data principles under CC BY 4.0, ensuring transparency, long-term access, and reuse.

This practice follows the FAIR data principles and aligns with the EU Open Data Directive (Directive (EU) 2019/1024), supporting transparency, long-term accessibility and the reuse of publicly funded research outputs.

SANCHOSTHIRST (https://projects.au.dk/ejpsoil/soil-research/second-external-call-international-call/sanchosthirst) aims to address soil degradation in semi-arid vineyards and olive groves by assessing how cover crops affect soil health, carbon sequestration and ecosystem services under current and future climate conditions. Through field monitoring, modelling, remote sensing and farmer-focused outreach, the project promotes more sustainable land-management practices in Mediterranean woody crops.
DOI: 10.5281/zenodo.17878534
title: EJP SOIL SANCHOSTHIRST Soil Dataset – 15 Paired sites

description: This dataset forms part of the H2020 EJP-SOIL project SANCHOSTHIRST, which investigates soil degradation and the role of cover crops in semi-arid vineyards and olive groves across 15 sites in Spain. Data set represents soil physicochemical and biological properties collected once in autumn 2023 at two depths (10 and 30 cm). Measurements include pH, EC, soil texture, organic carbon, nitrogen, water retention parameters, bulk density, microbial activity (β-glucosidase), and above and below-ground biomass. 

Each record contains site-specific coordinates.

Data are provided as Excel files and follow FAIR data principles under CC BY 4.0, ensuring transparency, long-term access, and reuse.

This practice follows the FAIR data principles and aligns with the EU Open Data Directive (Directive (EU) 2019/1024), supporting transparency, long-term accessibility and the reuse of publicly funded research outputs.

SANCHOSTHIRST (https://projects.au.dk/ejpsoil/soil-research/second-external-call-international-call/sanchosthirst) aims to address soil degradation in semi-arid vineyards and olive groves by assessing how cover crops affect soil health, carbon sequestration and ecosystem services under current and future climate conditions. Through field monitoring, modelling, remote sensing and farmer-focused outreach, the project promotes more sustainable land-management practices in Mediterranean woody crops.
DOI: 10.13130/rd_unimi/epaoaq/uz8te0
title: Marzo_1881_Pagina_071.jpg

description: Bulletin of 1881/03/18
DOI: 10.13130/rd_unimi/epaoaq/ay5wqm
title: Marzo_1881_Pagina_072.jpg

description: Bulletin of 1881/03/18
DOI: 10.13130/rd_unimi/epaoaq/6rgn7a
title: Marzo_1881_Pagina_073.jpg

description: Bulletin of 1881/03/19
DOI: 10.13130/rd_unimi/epaoaq/rxkjez
title: Marzo_1881_Pagina_074.jpg

description: Bulletin of 1881/03/19
DOI: 10.13130/rd_unimi/epaoaq/l2kgxc
title: Marzo_1881_Pagina_075.jpg

description: Bulletin of 1881/03/19
DOI: 10.15468/dl.ucs9gw
title: Occurrence Download

description: A dataset containing 17735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-107.020724 37.217746, -107.075054 37.278988, -107.154906 37.278988, -107.100536 37.217746, -107.020724 37.217746))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 17735 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044351-251120083545085/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/epaoaq/1gnolb
title: Marzo_1881_Pagina_076.jpg

description: Bulletin of 1881/03/19
DOI: 10.13130/rd_unimi/epaoaq/cd4mnh
title: Marzo_1881_Pagina_077.jpg

description: Bulletin of 1881/03/20
DOI: 10.13130/rd_unimi/epaoaq/fdiout
title: Marzo_1881_Pagina_078.jpg

description: Bulletin of 1881/03/20
DOI: 10.13130/rd_unimi/epaoaq/w6ucs0
title: Marzo_1881_Pagina_079.jpg

description: Bulletin of 1881/03/20
DOI: 10.13130/rd_unimi/epaoaq/apzae8
title: Marzo_1881_Pagina_080.jpg

description: Bulletin of 1881/03/20
DOI: 10.13130/rd_unimi/epaoaq/97kzy1
title: Marzo_1881_Pagina_081.jpg

description: Bulletin of 1881/03/21
DOI: 10.13130/rd_unimi/epaoaq/fcufuz
title: Marzo_1881_Pagina_082.jpg

description: Bulletin of 1881/03/21
DOI: 10.13130/rd_unimi/epaoaq/ieuqg2
title: Marzo_1881_Pagina_083.jpg

description: Bulletin of 1881/03/21
DOI: 10.13130/rd_unimi/epaoaq/uishjh
title: Marzo_1881_Pagina_084.jpg

description: Bulletin of 1881/03/21
DOI: 10.13130/rd_unimi/epaoaq/ipuoqr
title: Marzo_1881_Pagina_085.jpg

description: Bulletin of 1881/03/22
DOI: 10.13130/rd_unimi/epaoaq/mnz4os
title: Marzo_1881_Pagina_086.jpg

description: Bulletin of 1881/03/22
DOI: 10.13130/rd_unimi/epaoaq/5u6len
title: Marzo_1881_Pagina_087.jpg

description: Bulletin of 1881/03/22
DOI: 10.13130/rd_unimi/epaoaq/axpfye
title: Marzo_1881_Pagina_088.jpg

description: Bulletin of 1881/03/22
DOI: 10.13130/rd_unimi/epaoaq/xyvnqj
title: Marzo_1881_Pagina_089.jpg

description: Bulletin of 1881/03/23
DOI: 10.13130/rd_unimi/epaoaq/7vvyaj
title: Marzo_1881_Pagina_090.jpg

description: Bulletin of 1881/03/23
DOI: 10.13130/rd_unimi/epaoaq/wqyq64
title: Marzo_1881_Pagina_091.jpg

description: Bulletin of 1881/03/23
DOI: 10.13130/rd_unimi/epaoaq/jhhmvg
title: Marzo_1881_Pagina_092.jpg

description: Bulletin of 1881/03/23
DOI: 10.13130/rd_unimi/epaoaq/mvjpc7
title: Marzo_1881_Pagina_093.jpg

description: Bulletin of 1881/03/24
DOI: 10.13130/rd_unimi/epaoaq/zdord2
title: Marzo_1881_Pagina_094.jpg

description: Bulletin of 1881/03/24
DOI: 10.13130/rd_unimi/epaoaq/zhovnp
title: Marzo_1881_Pagina_095.jpg

description: Bulletin of 1881/03/24
DOI: 10.13130/rd_unimi/epaoaq/56wqhc
title: Marzo_1881_Pagina_096.jpg

description: Bulletin of 1881/03/24
DOI: 10.13130/rd_unimi/epaoaq/beolww
title: Marzo_1881_Pagina_097.jpg

description: Bulletin of 1881/03/25
DOI: 10.13130/rd_unimi/epaoaq/abfju7
title: Marzo_1881_Pagina_098.jpg

description: Bulletin of 1881/03/25
DOI: 10.13130/rd_unimi/epaoaq/ueiutl
title: Marzo_1881_Pagina_099.jpg

description: Bulletin of 1881/03/25
DOI: 10.15468/dl.6pr3te
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.35 2.669176, 103.279661 2.663608, 103.211057 2.647038, 103.145876 2.619877, 103.085727 2.582794, 103.03209 2.536701, 102.986286 2.482736, 102.949443 2.422228, 102.922467 2.356667, 102.906021 2.287669, 102.900508 2.216931, 102.906063 2.146198, 102.922547 2.077208, 102.949553 2.011662, 102.986416 1.951173, 103.032226 1.897229, 103.085857 1.851157, 103.145987 1.814092, 103.211137 1.786946, 103.279704 1.770386, 103.35 1.764821, 103.420296 1.770386, 103.488863 1.786946, 103.554013 1.814092, 103.614143 1.851157, 103.667774 1.897229, 103.713584 1.951173, 103.750447 2.011662, 103.777453 2.077208, 103.793937 2.146198, 103.799492 2.216931, 103.793979 2.287669, 103.777533 2.356667, 103.750557 2.422228, 103.713714 2.482736, 103.66791 2.536701, 103.614273 2.582794, 103.554124 2.619877, 103.488943 2.647038, 103.420339 2.663608, 103.35 2.669176))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044352-251120083545085/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/epaoaq/elnum4
title: Marzo_1881_Pagina_100.jpg

description: Bulletin of 1881/03/25
DOI: 10.13130/rd_unimi/epaoaq/mbtpdq
title: Marzo_1881_Pagina_101.jpg

description: Bulletin of 1881/03/26
DOI: 10.13130/rd_unimi/epaoaq/eayzz3
title: Marzo_1881_Pagina_102.jpg

description: Bulletin of 1881/03/26
DOI: 10.13130/rd_unimi/epaoaq/wizpi7
title: Marzo_1881_Pagina_103.jpg

description: Bulletin of 1881/03/26
DOI: 10.13130/rd_unimi/epaoaq/yl7d7z
title: Marzo_1881_Pagina_104.jpg

description: Bulletin of 1881/03/26
DOI: 10.13130/rd_unimi/epaoaq/uhu19j
title: Marzo_1881_Pagina_105.jpg

description: Bulletin of 1881/03/27
DOI: 10.13130/rd_unimi/epaoaq/axwyle
title: Marzo_1881_Pagina_106.jpg

description: Bulletin of 1881/03/27
DOI: 10.13130/rd_unimi/epaoaq/bwjgcs
title: Marzo_1881_Pagina_107.jpg

description: Bulletin of 1881/03/27
DOI: 10.13130/rd_unimi/epaoaq/8lxpvp
title: Marzo_1881_Pagina_108.jpg

description: Bulletin of 1881/03/27
DOI: 10.13130/rd_unimi/epaoaq/eevy2l
title: Marzo_1881_Pagina_109.jpg

description: Bulletin of 1881/03/28
DOI: 10.13130/rd_unimi/epaoaq/rk0gfp
title: Marzo_1881_Pagina_110.jpg

description: Bulletin of 1881/03/28
DOI: 10.13130/rd_unimi/epaoaq/te3cz6
title: Marzo_1881_Pagina_111.jpg

description: Bulletin of 1881/03/28
DOI: 10.13130/rd_unimi/epaoaq/qo28zd
title: Marzo_1881_Pagina_112.jpg

description: Bulletin of 1881/03/28
DOI: 10.5281/zenodo.17793672
title: FII BCI Corpus P300

description: The FII BCI Corpus comprises a selection of BCI databases : P300 and Motor Imagery (MI), annotated and curated for research purposes in a collaborative project carried out at University Federico II of Naples and University Grenoble Alpes of Grenoble.

 

Besides using this page and Zenodo API, the corpus can be easily installed using Eegle's download GUI — see Eegle.Database.downloadDB.

The disk space requirements for the data here below is 14.2 GB.

 

Along with EEG data and class labels, the corpus provides comprehensive metadata that allow to select the data for the study at hand and extract relevant information. This makes it particularly easy to carry out machine learning research on BCI data — see for example Tutorial ML 2.

 

The data curation included:





discarding EEG recordings



flagged by the database authors as problematic

holding corrupted data (e.g., NaN values during the trials)

yielding numerical problems with standard data manipulations procedures

offering close-to-chance performance in standard 2-class prediction tasks,



conversion of data into µV with Float32 precision,

class re-labeling using a standardized scheme,

downsampling (if applicable) to ≤ 256 samples per second preventing aliasing,

removal of non-EEG channels, such as EOG, EMG, reference, or ground electrodes,

concatenation of runs from the same session with identical experimental condition,

cleaning of NaN and zero values at the beginning and ending of the recordings

conversion of the cleaned data from CSV to the NY format, easily accessible in any programming language.



For the details on the discarding procedures for each file see the @discarded.md file for MI and P300.

 

For all details on the construction of the corpus, see the FII BCI Corpus Overview.
DOI: 10.13130/rd_unimi/epaoaq/jnofdj
title: Marzo_1881_Pagina_113.jpg

description: Bulletin of 1881/03/29
DOI: 10.13130/rd_unimi/epaoaq/pcn2ux
title: Marzo_1881_Pagina_114.jpg

description: Bulletin of 1881/03/29
DOI: 10.13130/rd_unimi/epaoaq/c5zma5
title: Marzo_1881_Pagina_115.jpg

description: Bulletin of 1881/03/29
DOI: 10.13130/rd_unimi/epaoaq/ujfsml
title: Marzo_1881_Pagina_116.jpg

description: Bulletin of 1881/03/29
DOI: 10.13130/rd_unimi/epaoaq/gskcri
title: Marzo_1881_Pagina_117.jpg

description: Bulletin of 1881/03/30
DOI: 10.15468/dl.d2gu3y
title: Occurrence Download

description: A dataset containing 118442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-73.99736939080165 40.72439392117599, -74.00050830205568 40.72545234107879, -74.003858395278 40.726024431339624, -74.00729084532412 40.72608818977702, -74.01067365342853 40.725641164241054, -74.01387673380441 40.72470054714508, -74.01677692592516 40.72330251271858, -74.01926273786302 40.72150082276295, -74.0212386368235 40.71936475511367, -74.02262872108548 40.71697643525562, -74.02337963213728 40.71442767456116, -74.02346259581924 40.71181643752812, -74.02287451546665 40.70924307446515, -74.02163807696947 40.70680646479351, -74.01980086383413 40.7046002192208, -74.01743351825324 40.70270908642042, -74.01462702041991 40.7012057016843, -74.01148919154333 40.700147801659114, -74.00814055505178 40.69957601127895, -74.00470971431565 40.69951228707118, -74.00132842309755 40.69995907597454, -73.99812653625213 40.70089922160085, -73.99522703260173 40.70229662149762, -73.9927412992608 40.70409761046491, -73.99076485705818 40.706233017386275, -73.9893736904187 40.70862081736672, -73.98862132263625 40.711169278180556, -73.9885367496445 40.71378048098395, -73.98912331311087 40.71635408067954, -73.99035855807765 40.718791161820775, -73.99219508274251 40.72099804192319, -73.9945623497263 40.72288987571194, -73.99736939080165 40.72439392117599))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 118442 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044287-251120083545085/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/epaoaq/nywxzn
title: Marzo_1881_Pagina_118.jpg

description: Bulletin of 1881/03/30
DOI: 10.13130/rd_unimi/epaoaq/uahseq
title: Marzo_1881_Pagina_119.jpg

description: Bulletin of 1881/03/30
DOI: 10.13130/rd_unimi/epaoaq/iu7k0d
title: Marzo_1881_Pagina_120.jpg

description: Bulletin of 1881/03/30
DOI: 10.13130/rd_unimi/epaoaq/pnrxub
title: Marzo_1881_Pagina_121.jpg

description: Bulletin of 1881/03/31
DOI: 10.13130/rd_unimi/epaoaq/eslt9i
title: Marzo_1881_Pagina_122.jpg

description: Bulletin of 1881/03/31
DOI: 10.13130/rd_unimi/epaoaq/j8ia8q
title: Marzo_1881_Pagina_123.jpg

description: Bulletin of 1881/03/31
DOI: 10.13130/rd_unimi/epaoaq/dpzvyw
title: Marzo_1881_Pagina_124.jpg

description: Bulletin of 1881/03/31
DOI: 10.13130/rd_unimi/epaoaq/fdjadn
title: Novembre_1881_Pagina_001.jpg

description: Bulletin of 1881/11/01
DOI: 10.13130/rd_unimi/epaoaq/htwvuj
title: Novembre_1881_Pagina_002.jpg

description: Bulletin of 1881/11/01
DOI: 10.13130/rd_unimi/epaoaq/afpivv
title: Novembre_1881_Pagina_003.jpg

description: Bulletin of 1881/11/01
DOI: 10.13130/rd_unimi/epaoaq/5zxn3g
title: Novembre_1881_Pagina_004.jpg

description: Bulletin of 1881/11/01
DOI: 10.5281/zenodo.17878394
title: Dataset for "Entropy-Based Analysis of Green and Dirty Cryptocurrencies During Geopolitical Crises"

description: This dataset supports the article “Green vs Dirty Cryptocurrencies Under Geopolitical Risk: An Entropy-Based Analysis Using MI, ApEn, and RLNNEE.”It contains daily price and return series for eight major cryptocurrencies classified into green (XRP, MATIC, XLM, ADA) and dirty (BTC, ETH, BCH, ETC) categories based on their consensus mechanisms and environmental footprint.

The dataset covers the period from April 28, 2019, to October 5, 2023, which includes two major crisis phases:





the COVID-19 pandemic,




the Russia–Ukraine war, beginning on 24 February 2022.



These events allow a detailed examination of market behavior under stress conditions.

The data have been cleaned, aligned, and winsorised at the 1% and 99% levels to reduce the impact of extreme outliers. The dataset is suitable for advanced empirical analyses in market efficiency, information theory, sustainable finance, and systemic risk.

The study applies three entropy-based methodologies:





Mutual Information (MI),




Approximate Entropy (ApEn),




RLNNEE – Rolling Local Nearest Neighbour Entropy Estimator, a recently developed non-parametric estimator capturing local complexity and information sharing.



This dataset enables replication of all empirical results in the article and can also be used for further research on adaptive efficiency, green finance, and cryptocurrency market dynamics.
DOI: 10.13130/rd_unimi/epaoaq/lnbtxb
title: Novembre_1881_Pagina_005.jpg

description: Bulletin of 1881/11/02
DOI: 10.5281/zenodo.17878393
title: Dataset for "Entropy-Based Analysis of Green and Dirty Cryptocurrencies During Geopolitical Crises"

description: This dataset supports the article “Green vs Dirty Cryptocurrencies Under Geopolitical Risk: An Entropy-Based Analysis Using MI, ApEn, and RLNNEE.”It contains daily price and return series for eight major cryptocurrencies classified into green (XRP, MATIC, XLM, ADA) and dirty (BTC, ETH, BCH, ETC) categories based on their consensus mechanisms and environmental footprint.

The dataset covers the period from April 28, 2019, to October 5, 2023, which includes two major crisis phases:





the COVID-19 pandemic,




the Russia–Ukraine war, beginning on 24 February 2022.



These events allow a detailed examination of market behavior under stress conditions.

The data have been cleaned, aligned, and winsorised at the 1% and 99% levels to reduce the impact of extreme outliers. The dataset is suitable for advanced empirical analyses in market efficiency, information theory, sustainable finance, and systemic risk.

The study applies three entropy-based methodologies:





Mutual Information (MI),




Approximate Entropy (ApEn),




RLNNEE – Rolling Local Nearest Neighbour Entropy Estimator, a recently developed non-parametric estimator capturing local complexity and information sharing.



This dataset enables replication of all empirical results in the article and can also be used for further research on adaptive efficiency, green finance, and cryptocurrency market dynamics.
DOI: 10.13130/rd_unimi/epaoaq/9loqxr
title: Novembre_1881_Pagina_006.jpg

description: Bulletin of 1881/11/02
DOI: 10.13130/rd_unimi/epaoaq/bjspp6
title: Novembre_1881_Pagina_007.jpg

description: Bulletin of 1881/11/02
DOI: 10.13130/rd_unimi/epaoaq/hxpyba
title: Novembre_1881_Pagina_008.jpg

description: Bulletin of 1881/11/02
DOI: 10.13130/rd_unimi/epaoaq/d4ytq6
title: Novembre_1881_Pagina_009.jpg

description: Bulletin of 1881/11/03
DOI: 10.13130/rd_unimi/epaoaq/xaxoox
title: Novembre_1881_Pagina_010.jpg

description: Bulletin of 1881/11/03
DOI: 10.13130/rd_unimi/epaoaq/ssjuat
title: Novembre_1881_Pagina_011.jpg

description: Bulletin of 1881/11/03
DOI: 10.15468/dl.gqmbbp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bonellia thomensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044355-251120083545085/datasets/export for details.
DOI: 10.13130/rd_unimi/epaoaq/uelhbo
title: Novembre_1881_Pagina_012.jpg

description: Bulletin of 1881/11/03
DOI: 10.13130/rd_unimi/epaoaq/yemaoq
title: Novembre_1881_Pagina_013.jpg

description: Bulletin of 1881/11/04
DOI: 10.13130/rd_unimi/epaoaq/dkkygc
title: Novembre_1881_Pagina_014.jpg

description: Bulletin of 1881/11/04
DOI: 10.13130/rd_unimi/epaoaq/xbi7dd
title: Novembre_1881_Pagina_015.jpg

description: Bulletin of 1881/11/04
DOI: 10.13130/rd_unimi/epaoaq/vliybl
title: Novembre_1881_Pagina_016.jpg

description: Bulletin of 1881/11/04
DOI: 10.13130/rd_unimi/epaoaq/tpxwls
title: Novembre_1881_Pagina_017.jpg

description: Bulletin of 1881/11/05
DOI: 10.13130/rd_unimi/epaoaq/ziudvo
title: Novembre_1881_Pagina_018.jpg

description: Bulletin of 1881/11/05
DOI: 10.13130/rd_unimi/epaoaq/1lxw2y
title: Novembre_1881_Pagina_019.jpg

description: Bulletin of 1881/11/05
DOI: 10.13130/rd_unimi/epaoaq/hfzitr
title: Novembre_1881_Pagina_020.jpg

description: Bulletin of 1881/11/05
DOI: 10.13130/rd_unimi/epaoaq/ykssjy
title: Novembre_1881_Pagina_021.jpg

description: Bulletin of 1881/11/06
DOI: 10.13130/rd_unimi/epaoaq/h7spqv
title: Novembre_1881_Pagina_022.jpg

description: Bulletin of 1881/11/06
DOI: 10.13130/rd_unimi/epaoaq/g6gs1c
title: Novembre_1881_Pagina_024.jpg

description: Bulletin of 1881/11/06
DOI: 10.13130/rd_unimi/epaoaq/rnl99g
title: Novembre_1881_Pagina_023.jpg

description: Bulletin of 1881/11/06
DOI: 10.13130/rd_unimi/epaoaq/fytf9y
title: Novembre_1881_Pagina_025.jpg

description: Bulletin of 1881/11/07
DOI: 10.13130/rd_unimi/epaoaq/bicdow
title: Novembre_1881_Pagina_026.jpg

description: Bulletin of 1881/11/07
DOI: 10.13130/rd_unimi/epaoaq/0e1slk
title: Novembre_1881_Pagina_027.jpg

description: Bulletin of 1881/11/07
DOI: 10.13130/rd_unimi/epaoaq/ldngyc
title: Novembre_1881_Pagina_028.jpg

description: Bulletin of 1881/11/07
DOI: 10.13130/rd_unimi/epaoaq/ddanmx
title: Novembre_1881_Pagina_029.jpg

description: Bulletin of 1881/11/08
DOI: 10.13130/rd_unimi/epaoaq/uzuxvd
title: Novembre_1881_Pagina_030.jpg

description: Bulletin of 1881/11/08
DOI: 10.13130/rd_unimi/epaoaq/2oejiq
title: Novembre_1881_Pagina_031.jpg

description: Bulletin of 1881/11/08
DOI: 10.13130/rd_unimi/epaoaq/cheny8
title: Novembre_1881_Pagina_032.jpg

description: Bulletin of 1881/11/08
DOI: 10.15468/dl.ctrg3y
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bos sauveli",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044354-251120083545085/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/epaoaq/txx30e
title: Novembre_1881_Pagina_033.jpg

description: Bulletin of 1881/11/09
DOI: 10.13130/rd_unimi/epaoaq/oqeeak
title: Novembre_1881_Pagina_034.jpg

description: Bulletin of 1881/11/09
DOI: 10.13130/rd_unimi/epaoaq/ugogyr
title: Novembre_1881_Pagina_035.jpg

description: Bulletin of 1881/11/09
DOI: 10.13130/rd_unimi/epaoaq/1ncn7j
title: Novembre_1881_Pagina_036.jpg

description: Bulletin of 1881/11/09
DOI: 10.13130/rd_unimi/epaoaq/riyfgw
title: Novembre_1881_Pagina_037.jpg

description: Bulletin of 1881/11/10
DOI: 10.13130/rd_unimi/epaoaq/qwryn6
title: Novembre_1881_Pagina_038.jpg

description: Bulletin of 1881/11/10
DOI: 10.13130/rd_unimi/epaoaq/a5ilzr
title: Novembre_1881_Pagina_039.jpg

description: Bulletin of 1881/11/10