cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13123396
title: Forest condition anomaly index values covering Germany for 2016-2024

description: General description:In Lange et. al (2024) we utilised Sentinel-2 tree species-specific reflectance time series for extracting forest condition across Germany from 2016 to 2022. These time series' seasonal evolution - computed separately for seven natural regions - serves as reference when calculating a similarity metric – further called forest condition anomaly index (FCA). The FCA is computed between each single reflectance observation and the respective date within the reference time series, also considering the natural temporal deviations caused by phenology. FCA temporal aggregation allowed generating spatially comprehensive forest condition anomaly maps. FCA patterns in space and time are in line with dominant drivers like fires, storms and insect infestations and in agreement with state-of-the-art forest disturbance products using a threshold of FCA = −0.15 for forest loss. More information can be found in the related publication and in the UFZ Forest condition monitor web-application.

Data description:Data is provided in GeoTiff format (projection EPSG:32632). Forest condition anomaly maps are available in a spatial resolution of 20 m for the years 2016 to 2024 as monthly (May to October) and yearly maps. Values are scaled by 10 000 to reduce the file size. Final FCA values are obtained by dividing the raw values by 10 000 and range from -1 to 1. A negative value generally indicates a poorer forest condition, for example, due to negative changes in chlorophyll or water content or due to crown defoliation. Through validation using forest surveys, data from the Copernicus Emergency Management System and other current maps of forest cover loss, it can be relatively accurate determined that a value below -0.15 indicates a heavily damaged or dead forest stand. Stronger damage (such as significant needle/leaf loss or tree mortality) is generally captured more precise than light damage (such as slight needle/leaf loss). Moderate forest condition values correspondingly show no anomaly and represent the expected normal condition for the respective tree species at the given time within the year. Positive forest condition values indicate a positive deviation from the expected state, which might stem from from positive chlorophyll or water content changes or from denser foliage or needle cover.

 

File descriptions: Data is provided in zip archives containing maps in GeoTiff format (projection EPSG:32632). 4 zip files are provided:



FCA_v0007-0006_Germany_2016-2024_yearly_R20m.zip contains 8 yearly FCA maps 

FCA_v0007-0006_Germany_2016-2019_monthly_R20m.zip  contains 24 monthly maps (May to October for 2016 to 2019)

FCA_v0007-0006_Germany_2020-2023_monthly_R20m.zip contains 24 monthly maps (May to October for 2020 to 2023)

FCA_v0007-0006_Germany_2024_monthly_R20m.zip contains 6 monthly maps (May to October for 2024)


Please note:Forest pixels were selected according to the tree species map from Blickensdörfer et al. (2024).
DOI: 10.15468/dl.j7e6s8
title: Occurrence Download

description: A dataset containing 5419 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Roadkill monitoring during the period 2003-2006 in the Kresna Gorge, SW Bulgaria"
 ]
}

 The dataset includes 5419 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032890-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e5hvz
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Brassica elongata integrifolia"
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032891-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb4sne
title: Occurrence Download

description: A dataset containing 461489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "GadmGid is FRA.10.9.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2015-2025"
 ]
}

 The dataset includes 461489 records from 679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032876-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdaexu
title: Occurrence Download

description: A dataset containing 5405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sylvilagus floridanus"
 ]
}

 The dataset includes 5405 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032895-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31403
title: Data from: Comparison of Shukla and modified Shukla formulas for predicting umbilical venous catheter insertion depth in preterm infants under 32 weeks of gestation
title: Data from: Comparison of Shukla and modified Shukla formulas for predicting umbilical venous catheter insertion depth in preterm infants under 32 weeks of gestation

description: This dataset contains the de-identified individual patient data used to compare the accuracy of the Shukla formula and the modified Shukla formula in predicting the optimal insertion depth of umbilical venous catheters (UVC) in preterm infants with a gestational age of less than 32 weeks. The data includes infant demographics, birth parameters, calculated insertion depths using both formulas, the ideal depth determined by X-ray, and catheterization outcomes. The aim of this data sharing is to facilitate the reproducibility of the study findings and to support further research in neonatal vascular access.
description: This dataset contains the de-identified individual patient data used to compare the accuracy of the Shukla formula and the modified Shukla formula in predicting the optimal insertion depth of umbilical venous catheters (UVC) in preterm infants with a gestational age of less than 32 weeks. The data includes infant demographics, birth parameters, calculated insertion depths using both formulas, the ideal depth determined by X-ray, and catheterization outcomes. The aim of this data sharing is to facilitate the reproducibility of the study findings and to support further research in neonatal vascular access.
DOI: 10.57760/sciencedb.31354
title: Single cell RNA-seq of young and aged whole lungs following IAV infection
title: Single cell RNA-seq of young and aged whole lungs following IAV infection

description: We report analysis of lung single cell transcriptome in aged and young mice infected with influenza A virus (IAV) for 9 days. It represents Cd4+ T cells population in aged lung were substantially decreased. Moreover mTOR signaling pathway were downregulated in Cd4+ cluster of aged lungs. It implies that reduced Cd4+ T cell population during IAV infection in aged mice linked to disrupted mTOR signaling pathway. In contrast, Gene Ontology (GO) analysis of CD8+ T cells from young and aged mice revealed an upregulation of the p53 pathway in aged CD8+ T cells, suggesting increased DNA damage may further restrict their proliferative potential. Moreover, We report analysis of lung single cell transcriptome in metformintreated aged mice infected with influenza A virus (IAV) for 9 days. Gene set enrichment analysis of Cd4+ and Cd8+ T cells revealed that metformin treatment positively enriched E2F targets, type I interferon (IFN α) response, and oxidative phosphorylation pathways. These findings suggest that metformin improves age associated T cell dysfunction by reducing inhibitory signaling and DNA damage, while enhancing mitochondrial metabolism, E2F and interferon signaling, thereby improving T cell proliferation, function, and viral clearance in aged hosts.
description: We report analysis of lung single cell transcriptome in aged and young mice infected with influenza A virus (IAV) for 9 days. It represents Cd4+ T cells population in aged lung were substantially decreased. Moreover mTOR signaling pathway were downregulated in Cd4+ cluster of aged lungs. It implies that reduced Cd4+ T cell population during IAV infection in aged mice linked to disrupted mTOR signaling pathway. In contrast, Gene Ontology (GO) analysis of CD8+ T cells from young and aged mice revealed an upregulation of the p53 pathway in aged CD8+ T cells, suggesting increased DNA damage may further restrict their proliferative potential. Moreover, We report analysis of lung single cell transcriptome in metformintreated aged mice infected with influenza A virus (IAV) for 9 days. Gene set enrichment analysis of Cd4+ and Cd8+ T cells revealed that metformin treatment positively enriched E2F targets, type I interferon (IFN α) response, and oxidative phosphorylation pathways. These findings suggest that metformin improves age associated T cell dysfunction by reducing inhibitory signaling and DNA damage, while enhancing mitochondrial metabolism, E2F and interferon signaling, thereby improving T cell proliferation, function, and viral clearance in aged hosts.
DOI: 10.57760/sciencedb.31398
title: ESG data in emerging and developing markets
title: ESG data in emerging and developing markets

description: bank and country level data
description: bank and country level data
DOI: 10.57760/sciencedb.31394
title: Rural women participating in online vocational tourism training programs in Vietnam
title: Rural women participating in online vocational tourism training programs in Vietnam

description: The dataset used in this study was collected through a structured questionnaire survey administered to rural women participating in online vocational tourism training programs in southern Vietnam. The survey captured responses across multiple constructs, including digital accessibility, self-efficacy, learning engagement, social support, and digital work outcomes.A total of 390 valid responses were obtained after data screening. Each construct was measured using multiple formative or reflective indicators based on prior validated scales, adapted to the local context through expert consultation and pilot testing. The dataset includes demographic variables (e.g., age, education, occupation, income level, and training participation status), as well as all latent variable indicators used in the PLS-SEM analysis.All responses were anonymised prior to analysis to ensure participant confidentiality and compliance with ethical research standards. The dataset was analysed using SmartPLS 4.0, with a focus on measurement validation, structural path analysis, and moderation effects.
description: The dataset used in this study was collected through a structured questionnaire survey administered to rural women participating in online vocational tourism training programs in southern Vietnam. The survey captured responses across multiple constructs, including digital accessibility, self-efficacy, learning engagement, social support, and digital work outcomes.A total of 390 valid responses were obtained after data screening. Each construct was measured using multiple formative or reflective indicators based on prior validated scales, adapted to the local context through expert consultation and pilot testing. The dataset includes demographic variables (e.g., age, education, occupation, income level, and training participation status), as well as all latent variable indicators used in the PLS-SEM analysis.All responses were anonymised prior to analysis to ensure participant confidentiality and compliance with ethical research standards. The dataset was analysed using SmartPLS 4.0, with a focus on measurement validation, structural path analysis, and moderation effects.
DOI: 10.57760/sciencedb.31321
title: Smart grid citation network position and KSV on performance
title: Smart grid citation network position and KSV on performance

description: Smart grid citation network position using Katz centrulityand KSV on performanceKnowledge variety among cited companies KSVuspto grant patent dataRashad project
description: Smart grid citation network position using Katz centrulityand KSV on performanceKnowledge variety among cited companies KSVuspto grant patent dataRashad project
DOI: 10.57760/sciencedb.30139
title: Integration of ATAC-seq and RNA-seq analysis identifies host genes related with PRRSV infection
title: Integration of ATAC-seq and RNA-seq analysis identifies host genes related with PRRSV infection

description: This integrated multi-omics study reveals that PRRSV infection remodels the host epigenome, driving changes in gene expression through altered chromatin accessibility. We identified key candidate genes (e.g., IL1B, CCL20, CSF3) and enriched immune pathways central to the viral infection mechanism. These findings provide crucial insights into PRRSV pathogenesis and unveil potential targets for novel therapeutic and vaccine strategies.
description: This integrated multi-omics study reveals that PRRSV infection remodels the host epigenome, driving changes in gene expression through altered chromatin accessibility. We identified key candidate genes (e.g., IL1B, CCL20, CSF3) and enriched immune pathways central to the viral infection mechanism. These findings provide crucial insights into PRRSV pathogenesis and unveil potential targets for novel therapeutic and vaccine strategies.
DOI: 10.57760/sciencedb.31276
title: Research on energy-saving algorithm of HVAC multi-agent system consensus based on event-triggered mechanism
title: Research on energy-saving algorithm of HVAC multi-agent system consensus based on event-triggered mechanism

description: 一.数据集产生过程该研究的数据集并非来自实际的物理实验或现场测量，而是通过数值仿真（Numerical Simulations）产生。系统模型与架构：1.研究首先建立了包含 N个智能体的离散时间多智能体系统动态模型 。2.该模型用于描述 HVAC 系统中的发电机组（Generators）和柔性负荷（Flexible Loads），并将发电机组的增量成本（Incremental Cost, IC）和柔性负荷的增量效益（Incremental Benefit, IB）作为一致性变量 。3.发电机组的发电成本函数和柔性负荷的用电效益函数均被建模为二次函数 。基础案例：1.仿真算例采用了IEEE 10-机 19-负荷 39-节点系统 。2.该系统由 10 个发电机和 19 个负荷组成，通信拓扑图被设定为强连通且平衡的有向加权图 。初始条件与参数设定：1.所有发电机组的参数及初始条件均在论文中明确列于表格（Table 1）。2.为验证算法有效性，选择了 G10 作为领导者（Leader）发电机 。3.采样步长设定为 0.001-s 。4.收敛系数均被设定为特定值 。二、数据处理方法和处理步骤（Data Processing Methodology）数据的处理主要围绕分布式经济调度算法的迭代计算和性能分析展开。核心算法：1.采用基于事件触发机制（Event-Triggered Mechanism, ETM）的离散时间一致性算法。数据分析与验证：1.对仿真产生的一致性变量（IC）、总输出功率和负荷减少量的动态收敛曲线进行分析 。2.分析各发电机组的触发时间间隔，以证明 ETM 实现了离散、不等周期的“按需执行” 。3.验证最终收敛的一致性变量 是否与集中式方法计算结果相同，并满足功率平衡约束 。三、使用设备及工具（Equipment and Tools Used）由于是数值仿真研究，主要使用的“工具”是软件和仿真平台MATLAB/Simulink、Python 库。
description: 一.数据集产生过程该研究的数据集并非来自实际的物理实验或现场测量，而是通过数值仿真（Numerical Simulations）产生。系统模型与架构：1.研究首先建立了包含 N个智能体的离散时间多智能体系统动态模型 。2.该模型用于描述 HVAC 系统中的发电机组（Generators）和柔性负荷（Flexible Loads），并将发电机组的增量成本（Incremental Cost, IC）和柔性负荷的增量效益（Incremental Benefit, IB）作为一致性变量 。3.发电机组的发电成本函数和柔性负荷的用电效益函数均被建模为二次函数 。基础案例：1.仿真算例采用了IEEE 10-机 19-负荷 39-节点系统 。2.该系统由 10 个发电机和 19 个负荷组成，通信拓扑图被设定为强连通且平衡的有向加权图 。初始条件与参数设定：1.所有发电机组的参数及初始条件均在论文中明确列于表格（Table 1）。2.为验证算法有效性，选择了 G10 作为领导者（Leader）发电机 。3.采样步长设定为 0.001-s 。4.收敛系数均被设定为特定值 。二、数据处理方法和处理步骤（Data Processing Methodology）数据的处理主要围绕分布式经济调度算法的迭代计算和性能分析展开。核心算法：1.采用基于事件触发机制（Event-Triggered Mechanism, ETM）的离散时间一致性算法。数据分析与验证：1.对仿真产生的一致性变量（IC）、总输出功率和负荷减少量的动态收敛曲线进行分析 。2.分析各发电机组的触发时间间隔，以证明 ETM 实现了离散、不等周期的“按需执行” 。3.验证最终收敛的一致性变量 是否与集中式方法计算结果相同，并满足功率平衡约束 。三、使用设备及工具（Equipment and Tools Used）由于是数值仿真研究，主要使用的“工具”是软件和仿真平台MATLAB/Simulink、Python 库。
DOI: 10.5281/zenodo.17607838
title: Dataset for 3D numerical model of double verging subduction

description: This repository contains the input and output files for the two simulations presented in the article. 

 

The output subdirectory contains .vts and .pvd files. You can visualize the results using Paraview by opening the timeseries-cellfields.pvd file.

The 2D Arc-Type is located in suppe_marker_cut_noslip_vy0_1em5_LC_6_swarm_2D. 

The 2D Continent-Type is located in suppe_marker_cut_noslip_vy0_1em5_6_swarm_2D

The 3D Arc-Type is located in suppe_marker_cut_noslip_vy0_1em5_LC_6_swarm

The 2D Continent-Type is located in suppe_marker_cut_noslip_vy0_1em5_6_swarm

 

 

The input subdirectory includes all necessary files to rerun the simulations: 

.opts lists the simulation options used 

suppe_sed_volume contains the initial geometry for 3D simulation

suppe3D_volume defines the boundary condition facets for 3D simulation 

 

suppe_sed_volume_2D_geology contains the initial geometry and the boundary condition facets for 2D simulation

 

densmaps contains the density table

Simulations were run using a version of pTatin3D, available at https://github.com/laetitialp/ptatin-gene/
DOI: 10.5281/zenodo.16632060
title: Dataset for 3D numerical model of double verging subduction

description: This repository contains the input and output files for the two simulations presented in the article. 

 

The output subdirectory contains .vts and .pvd files. You can visualize the results using Paraview by opening the timeseries-cellfields.pvd file.

The 2D Arc-Type is located in suppe_marker_cut_noslip_vy0_1em5_LC_6_swarm_2D. 

The 2D Continent-Type is located in suppe_marker_cut_noslip_vy0_1em5_6_swarm_2D

The 3D Arc-Type is located in suppe_marker_cut_noslip_vy0_1em5_LC_6_swarm

The 2D Continent-Type is located in suppe_marker_cut_noslip_vy0_1em5_6_swarm

 

 

The input subdirectory includes all necessary files to rerun the simulations: 

.opts lists the simulation options used 

suppe_sed_volume contains the initial geometry for 3D simulation

suppe3D_volume defines the boundary condition facets for 3D simulation 

 

suppe_sed_volume_2D_geology contains the initial geometry and the boundary condition facets for 2D simulation

 

densmaps contains the density table

Simulations were run using a version of pTatin3D, available at https://github.com/laetitialp/ptatin-gene/
DOI: 10.15468/dl.mnpp2g
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.14_1, CHN.14.12.1_1, CHN.14.12.6_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Symplocaceae"
 ]
}

 The dataset includes 1861 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032896-251025141854904/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/nbiypy/mn9g28
title: Giugno_1917_Pagina_124.jpg

description: Bulletin of 1917/06/21
DOI: 10.13130/rd_unimi/nbiypy/oydald
title: Giugno_1917_Pagina_125.jpg

description: Bulletin of 1917/06/21
DOI: 10.13130/rd_unimi/nbiypy/staprg
title: Giugno_1917_Pagina_126.jpg

description: Bulletin of 1917/06/21
DOI: 10.13130/rd_unimi/nbiypy/in2cks
title: Giugno_1917_Pagina_127.jpg

description: Bulletin of 1917/06/22
DOI: 10.13130/rd_unimi/nbiypy/zxvmbf
title: Giugno_1917_Pagina_128.jpg

description: Bulletin of 1917/06/22
DOI: 10.13130/rd_unimi/nbiypy/jfmx6f
title: Giugno_1917_Pagina_129.jpg

description: Bulletin of 1917/06/22
DOI: 10.13130/rd_unimi/nbiypy/vd0m1l
title: Giugno_1917_Pagina_130.jpg

description: Bulletin of 1917/06/22
DOI: 10.13130/rd_unimi/nbiypy/o1r8a1
title: Giugno_1917_Pagina_131.jpg

description: Bulletin of 1917/06/22
DOI: 10.15468/dl.52grvy
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-79.92673 -3.16551,-80.19652 -3.46757,-80.13601 -3.74941,-79.53844 -3.74689,-79.5107 -3.33921,-79.92673 -3.16551))",
 "HasGeospatialIssue is false",
 "TaxonKey is Burseraceae"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009990-251120083545085/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/nbiypy/w7f7yi
title: Giugno_1917_Pagina_132.jpg

description: Bulletin of 1917/06/22
DOI: 10.13130/rd_unimi/nbiypy/jlds2k
title: Giugno_1917_Pagina_133.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/qwqpvi
title: Giugno_1917_Pagina_135.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/yvkvgm
title: Giugno_1917_Pagina_134.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/hq5gpl
title: Giugno_1917_Pagina_136.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/zjtjjr
title: Giugno_1917_Pagina_137.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/10pavd
title: Giugno_1917_Pagina_138.jpg

description: Bulletin of 1917/06/23
DOI: 10.13130/rd_unimi/nbiypy/hswuce
title: Giugno_1917_Pagina_139.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/tyvcyr
title: Giugno_1917_Pagina_140.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/95vhlj
title: Giugno_1917_Pagina_142.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/uttfto
title: Giugno_1917_Pagina_141.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/y4ft02
title: Giugno_1917_Pagina_143.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/c7ucqa
title: Giugno_1917_Pagina_144.jpg

description: Bulletin of 1917/06/24
DOI: 10.13130/rd_unimi/nbiypy/bg6dvf
title: Giugno_1917_Pagina_145.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/gmdlpa
title: Giugno_1917_Pagina_146.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/izihn0
title: Giugno_1917_Pagina_147.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/zwdpru
title: Giugno_1917_Pagina_148.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/1juyve
title: Giugno_1917_Pagina_150.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/xyytmy
title: Giugno_1917_Pagina_149.jpg

description: Bulletin of 1917/06/25
DOI: 10.13130/rd_unimi/nbiypy/w0ic99
title: Giugno_1917_Pagina_151.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/44adup
title: Giugno_1917_Pagina_152.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/th5kmc
title: Giugno_1917_Pagina_153.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/aylbvk
title: Giugno_1917_Pagina_154.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/zhnzgi
title: Giugno_1917_Pagina_155.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/lggmj0
title: Giugno_1917_Pagina_157.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/ptu786
title: Giugno_1917_Pagina_156.jpg

description: Bulletin of 1917/06/26
DOI: 10.13130/rd_unimi/nbiypy/e5cy7e
title: Giugno_1917_Pagina_158.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/oos7ch
title: Giugno_1917_Pagina_159.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/vpcogl
title: Giugno_1917_Pagina_160.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/kftnlz
title: Giugno_1917_Pagina_161.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/1meudg
title: Giugno_1917_Pagina_162.jpg

description: Bulletin of 1917/06/27
DOI: 10.13130/rd_unimi/nbiypy/ah5t3p
title: Giugno_1917_Pagina_163.jpg

description: Bulletin of 1917/06/28
DOI: 10.13130/rd_unimi/nbiypy/bi1pil
title: Giugno_1917_Pagina_164.jpg

description: Bulletin of 1917/06/28
DOI: 10.13130/rd_unimi/nbiypy/ga8pld
title: Giugno_1917_Pagina_165.jpg

description: Bulletin of 1917/06/28
DOI: 10.13130/rd_unimi/nbiypy/umqrc5
title: Giugno_1917_Pagina_166.jpg

description: Bulletin of 1917/06/28