cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.11251
title: A database of maternal’s mental health
title: 孕产妇心理健康数据集

description: Maternal mental health is not only related to women's own well-being, but also has a profound impact on the healthy growth of the fetus, the harmony and stability of the family and the sustainable development of the society. In order to deeply understand the mental health status of pregnant women, this study conducted a questionnaire survey for pregnant women in Shanxi Province from 2019 to 2024, and a total of 5440 valid questionnaires were collected. This dataset can be analyzed by using various data analysis software, and has a wide range of applications in theoretical research and practice on maternal mental health and its influencing factors.
description: Maternal mental health is not only related to women's own well-being, but also has a profound impact on the healthy growth of the fetus, the harmony and stability of the family and the sustainable development of the society. In order to deeply understand the mental health status of pregnant women, this study conducted a questionnaire survey for pregnant women in Shanxi Province from 2019 to 2024, and a total of 5440 valid questionnaires were collected. This dataset can be analyzed by using various data analysis software, and has a wide range of applications in theoretical research and practice on maternal mental health and its influencing factors.
DOI: 10.57760/sciencedb.16313
title: A dataset for multi-frequency terahertz sensing using photoluminescence spectroscopy of Rydberg atom vapor
title: A dataset for multi-frequency terahertz sensing using photoluminescence spectroscopy of Rydberg atom vapor

description: There is a growing interest in the rapid assessment of terahertz (THz) spectroscopy due to its promising application prospects in non-destructive testing, security screening, and communication. In this study, we introduce a swift characterization method for THz spectroscopy utilizing a THz-to-optical conversion system in a warm atomic vapor cell. By subtracting the photoluminescence (PL) spectra of cesium atoms with the THz field from those without the THz field, we obtain differential PL spectra that effectively characterize the 0.548 THz field. The differential PL spectra of Rydberg atoms offer an opportunity to quantify the THz field’s intensity and frequency, potentially paving the way for the development of THz spectroscopy based on warm atomic vapor cells.
description: There is a growing interest in the rapid assessment of terahertz (THz) spectroscopy due to its promising application prospects in non-destructive testing, security screening, and communication. In this study, we introduce a swift characterization method for THz spectroscopy utilizing a THz-to-optical conversion system in a warm atomic vapor cell. By subtracting the photoluminescence (PL) spectra of cesium atoms with the THz field from those without the THz field, we obtain differential PL spectra that effectively characterize the 0.548 THz field. The differential PL spectra of Rydberg atoms offer an opportunity to quantify the THz field’s intensity and frequency, potentially paving the way for the development of THz spectroscopy based on warm atomic vapor cells.
DOI: 10.57760/sciencedb.13171
title: MSWI fly ash data
title: MSWI fly ash data

description: Data of the paper "Optimizing Chloride and Calcium Ion Extraction from MSWI Fly Ash from Zhoushan, China: Effects of Leaching Conditions and Industrial Applications"
description: Data of the paper "Optimizing Chloride and Calcium Ion Extraction from MSWI Fly Ash from Zhoushan, China: Effects of Leaching Conditions and Industrial Applications"
DOI: 10.57760/sciencedb.07403
title: Genome assembly of species Luthela beijing and Atypus karschi
title: Genome assembly of species Luthela beijing and Atypus karschi

description: Draft assembly of Heptathela sinensis (Luthela beijing) and Atypus karschi
description: Draft assembly of Heptathela sinensis (Luthela beijing) and Atypus karschi
DOI: 10.57760/sciencedb.20011
title: Raw bacterial and fungal datasets, bacterial and fungal otu
title: Raw bacterial and fungal datasets, bacterial and fungal otu

description: We uploaded a total of 4 spreadsheets, two of which contain columns for bacterial and fungal data, with rows including Sample, Barcode, SeqNum, BaseNum, MeanLen, MinLen, and MaxLen.The columns of the other two tables represent the OTU counts of bacteria and fungi, and the data rows include treatments of bacteria and fungi at different layers under different nitrogen additions (B1CK, B2CK, B3CK, B1LN, B2LN, B3LN, B1MN, B2MN, B3MN, B1HN, B2HN, B3HN, F1CK, F2CK, F3CK, F1LN, F2LN, F3LN, F1MN, F2MN, F3MN, F1HN, F2HN, F3HN).我们总共上传了 4 个电子表格，其中两个包含细菌和真菌数据列，行包括 Sample、Barcode、SeqNum、BaseNum、MeanLen、MinLen 和 MaxLen.其他两个表的列代表细菌和真菌的 OTU 计数，数据行包括不同氮添加下不同层细菌和真菌的处理 （B1CK， B2CK、B3CK、B1LN、B2LN、B3LN、B1MN、B2MN、B3MN、B1HN、B2HN、B3HN、F1CK、F2CK、F3CK、F1LN、F2LN、F3LN、F1MN、F2MN、F3MN、F1HN、F2HN、F3HN）。
description: We uploaded a total of 4 spreadsheets, two of which contain columns for bacterial and fungal data, with rows including Sample, Barcode, SeqNum, BaseNum, MeanLen, MinLen, and MaxLen.The columns of the other two tables represent the OTU counts of bacteria and fungi, and the data rows include treatments of bacteria and fungi at different layers under different nitrogen additions (B1CK, B2CK, B3CK, B1LN, B2LN, B3LN, B1MN, B2MN, B3MN, B1HN, B2HN, B3HN, F1CK, F2CK, F3CK, F1LN, F2LN, F3LN, F1MN, F2MN, F3MN, F1HN, F2HN, F3HN).我们总共上传了 4 个电子表格，其中两个包含细菌和真菌数据列，行包括 Sample、Barcode、SeqNum、BaseNum、MeanLen、MinLen 和 MaxLen.其他两个表的列代表细菌和真菌的 OTU 计数，数据行包括不同氮添加下不同层细菌和真菌的处理 （B1CK， B2CK、B3CK、B1LN、B2LN、B3LN、B1MN、B2MN、B3MN、B1HN、B2HN、B3HN、F1CK、F2CK、F3CK、F1LN、F2LN、F3LN、F1MN、F2MN、F3MN、F1HN、F2HN、F3HN）。
DOI: 10.57760/sciencedb.08547
title: GZMH dataset for mitotic nuclei identification of breast cancer pathological images
title: GZMH dataset for mitotic nuclei identification of breast cancer pathological images

description: 一、数据集GZMH第一版说明有丝分裂细胞核计数是乳腺癌诊断和组织学分级的三个重要评分指标之一。目前它依赖于病理学家通过显微镜观察病理图像热点区域，从WSI对有丝分裂细胞核进行阅片和计数，非常耗时和费力。基于深度学习的自动检测方法可以有效帮助医生识别和计数乳腺病理图像中的有丝分裂细胞核。然而，目前研究中的公开数据集大多用于比赛，由主办方和数据提供者选择，与临床环境中使用的数据存在较大差异，不利于模型性能和泛化能力的测试和验证。因此，我们发布了来自中国赣州市立医院临床环境的数据集GZMH。数据集具有以下特征：（1）数据集包含1534张RGB通道电子图像，分辨率为2084x2084像素，有丝分裂区域为2355个;（2）病例数据量大，类型丰富，数据特征更接近临床应用场景。（3）数据集提供了像素级语义分割标签和目标检测标签（核分割图像区域的最小外接矩形坐标和质心坐标），方便用于研究。欢迎引用针对GZMH数据集的研究论文：[1]Huadeng Wang, Hao Xu, Bingbing Li*, Xipeng Pan*, Lingqi Zeng, Rushi Lan, Xiaonan Luo. A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch, Biomedical Signal Processing and Control, Volume 87, Part A, 2024,105374. (中科院二区SCI期刊，IF 5.1)[2]Huadeng Wang, Zhipeng Liu, Xipeng Pan, Kang Yu, Rushi Lan, Junlin Guan, Bingbing Li, A novel dataset and a two-stage deep learning method for breast cancer mitosis nuclei identification, Digital Signal Processing, Volume 158, 2025, 104978. (JCR二区、中科院三区SCI期刊，IF 2.9)[3]汪华登, 王雪馨, 黎兵兵*, 刘志鹏, 许浩, 潘细朋, 蓝如师, 罗笑南. GZMH：用于有丝分裂细胞核检测和分割的乳腺癌病理图像数据集[J]. 中国图象图形学报, 2024, 29(3). (CCF B类中文核心期刊)二、更新后的第二版数据集GZMH-V2的说明建议感兴趣的研究人员，尽量选用GZMH-V2数据集（即所上传的GZMH Dataset V2.zip）。由于在临床应用中，对于乳腺癌恶性程度大、分化程度高的情况，乳腺癌组织学分级分数主要依靠腺管形成比例、细胞核的多形性这两个参数就可以基本确定为3级；对于乳腺癌恶性程度小、分化程度低的情况，前两个参数不能充分进行判定，就需要结合核分裂象计数，帮助临床医生识别最终分级是2级还是3级。因此，我们在GZMH数据集的基础上，根据对一张WSI切割成的含有核分裂象数最多的前10张HPF进行计数评分,对测试集进行了划分，并随机筛选，生成test_1or2_score和test_3_score两个测试集。
description: 一、数据集GZMH第一版说明有丝分裂细胞核计数是乳腺癌诊断和组织学分级的三个重要评分指标之一。目前它依赖于病理学家通过显微镜观察病理图像热点区域，从WSI对有丝分裂细胞核进行阅片和计数，非常耗时和费力。基于深度学习的自动检测方法可以有效帮助医生识别和计数乳腺病理图像中的有丝分裂细胞核。然而，目前研究中的公开数据集大多用于比赛，由主办方和数据提供者选择，与临床环境中使用的数据存在较大差异，不利于模型性能和泛化能力的测试和验证。因此，我们发布了来自中国赣州市立医院临床环境的数据集GZMH。数据集具有以下特征：（1）数据集包含1534张RGB通道电子图像，分辨率为2084x2084像素，有丝分裂区域为2355个;（2）病例数据量大，类型丰富，数据特征更接近临床应用场景。（3）数据集提供了像素级语义分割标签和目标检测标签（核分割图像区域的最小外接矩形坐标和质心坐标），方便用于研究。欢迎引用针对GZMH数据集的研究论文：[1]Huadeng Wang, Hao Xu, Bingbing Li*, Xipeng Pan*, Lingqi Zeng, Rushi Lan, Xiaonan Luo. A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch, Biomedical Signal Processing and Control, Volume 87, Part A, 2024,105374. (中科院二区SCI期刊，IF 5.1)[2]Huadeng Wang, Zhipeng Liu, Xipeng Pan, Kang Yu, Rushi Lan, Junlin Guan, Bingbing Li, A novel dataset and a two-stage deep learning method for breast cancer mitosis nuclei identification, Digital Signal Processing, Volume 158, 2025, 104978. (JCR二区、中科院三区SCI期刊，IF 2.9)[3]汪华登, 王雪馨, 黎兵兵*, 刘志鹏, 许浩, 潘细朋, 蓝如师, 罗笑南. GZMH：用于有丝分裂细胞核检测和分割的乳腺癌病理图像数据集[J]. 中国图象图形学报, 2024, 29(3). (CCF B类中文核心期刊)二、更新后的第二版数据集GZMH-V2的说明建议感兴趣的研究人员，尽量选用GZMH-V2数据集（即所上传的GZMH Dataset V2.zip）。由于在临床应用中，对于乳腺癌恶性程度大、分化程度高的情况，乳腺癌组织学分级分数主要依靠腺管形成比例、细胞核的多形性这两个参数就可以基本确定为3级；对于乳腺癌恶性程度小、分化程度低的情况，前两个参数不能充分进行判定，就需要结合核分裂象计数，帮助临床医生识别最终分级是2级还是3级。因此，我们在GZMH数据集的基础上，根据对一张WSI切割成的含有核分裂象数最多的前10张HPF进行计数评分,对测试集进行了划分，并随机筛选，生成test_1or2_score和test_3_score两个测试集。
DOI: 10.57760/sciencedb.20656
title: Incorporation of polylactic acid microplastics into carbon cycle as carbon source to remodel the endogenous metabolism of gut
title: Incorporation of polylactic acid microplastics into carbon cycle as carbon source to remodel the endogenous metabolism of gut

description: The raw data, metadata, animal experiment protocols, and other relevant data.
description: The raw data, metadata, animal experiment protocols, and other relevant data.
DOI: 10.57760/sciencedb.13080
title: Empowering Robotic Systems with Multimodal Sensory Data
title: Empowering Robotic Systems with Multimodal Sensory Data

description: 该策略结合了多种类型的传感器，在动态场景中使用 17 种不同的厨房工具从 20 名成年人那里收集各种数据点。
description: 该策略结合了多种类型的传感器，在动态场景中使用 17 种不同的厨房工具从 20 名成年人那里收集各种数据点。
DOI: 10.57760/sciencedb.15792
title: Deep transfer learning assisted detection of methane super-emitters in oil and gas fields using Sentinel-2 observations
title: Deep transfer learning assisted detection of methane super-emitters in oil and gas fields using Sentinel-2 observations

description: In the folder you will find the six methane super-emitters retrieval (ΔR) imagery datasets and the synthetic ΔR datasets described in the article "A Data-Efficient Deep Transfer Learning Framework for Methane Super-Emitter Detection in Oil and Gas Fields Using Sentinel-2 Satellite" Zhao et al. (2025). The dataset files are provided in .png format. The name of each file indicates: -the methane source index (see Table 1): D1 = Dataset#1-the acquisition date All images were retrieved from 20m Sentinel-2 L1C products and the retrieving domain size is 16 km2. It is noted that differences in the methane point source retrieval method workflow and the analyst's labeling rules may lead to variations in the resulting methane plume images. If any omissions or errors are found in the dataset during use, please contact the authors for corrections. Importantly, if this dataset is used for publication, please cite the related article.
description: In the folder you will find the six methane super-emitters retrieval (ΔR) imagery datasets and the synthetic ΔR datasets described in the article "A Data-Efficient Deep Transfer Learning Framework for Methane Super-Emitter Detection in Oil and Gas Fields Using Sentinel-2 Satellite" Zhao et al. (2025). The dataset files are provided in .png format. The name of each file indicates: -the methane source index (see Table 1): D1 = Dataset#1-the acquisition date All images were retrieved from 20m Sentinel-2 L1C products and the retrieving domain size is 16 km2. It is noted that differences in the methane point source retrieval method workflow and the analyst's labeling rules may lead to variations in the resulting methane plume images. If any omissions or errors are found in the dataset during use, please contact the authors for corrections. Importantly, if this dataset is used for publication, please cite the related article.
DOI: 10.57760/sciencedb.21236
title: An Hourly SIF/ET Dataset at 0.05-degree Resolution for the Yangtze River Basin
title: An Hourly SIF/ET Dataset at 0.05-degree Resolution for the Yangtze River Basin

description: We provide a hourly resolution SIF (Solar-Induced Chlorophyll Fluorescence) dataset covering the entire Yangtze River Basin, with a spatial resolution of 0.05 degrees, spanning from September 2014 to September 2023. We also provide a hourly resolution ET (Evapotranspiration) dataset covering the Yangtze River Basin spanning from September 2014 to December 2022.
description: We provide a hourly resolution SIF (Solar-Induced Chlorophyll Fluorescence) dataset covering the entire Yangtze River Basin, with a spatial resolution of 0.05 degrees, spanning from September 2014 to September 2023. We also provide a hourly resolution ET (Evapotranspiration) dataset covering the Yangtze River Basin spanning from September 2014 to December 2022.
DOI: 10.57760/sciencedb.09166
title: Sequence of Octonoba sinensis genome
title: Sequence of Octonoba sinensis genome

description: For GIGA-D-23-00275
description: For GIGA-D-23-00275
DOI: 10.57760/sciencedb.01898
title: UAV-HSI-Crop-Dataset
title: UAV-HSI-Crop-Dataset

description: The study area locates in Shenzhou City, Hebei Province, China, and it consists of two sub-regions, Majiakou Village's plots(MJK_N, MJK_S) and Xijingmeng Valliage's plots(XJM). The hyperspectral data obtained on September 18th, 2019, with an electric hexacopter. The UAV carried the sensor Pika L hyperspectral imager made by Resonon company, which has a spectral range of 385nm to 1024nm with a total of 200 bands. And the flight height was set to be 100 m, resulting in a spatial resolution of 0.1 m per pixel. Spectronon and ENVI software was utilized for the post-processing of the hyperspectral data, including radiometric calibration, geometric correction, image stitching, and atmospheric correction. The images cropped to the 96*96*200 patches, then split into the Training set and Test set with a ratio of 8:2. The patches in the dataset are all numpy data type.
description: The study area locates in Shenzhou City, Hebei Province, China, and it consists of two sub-regions, Majiakou Village's plots(MJK_N, MJK_S) and Xijingmeng Valliage's plots(XJM). The hyperspectral data obtained on September 18th, 2019, with an electric hexacopter. The UAV carried the sensor Pika L hyperspectral imager made by Resonon company, which has a spectral range of 385nm to 1024nm with a total of 200 bands. And the flight height was set to be 100 m, resulting in a spatial resolution of 0.1 m per pixel. Spectronon and ENVI software was utilized for the post-processing of the hyperspectral data, including radiometric calibration, geometric correction, image stitching, and atmospheric correction. The images cropped to the 96*96*200 patches, then split into the Training set and Test set with a ratio of 8:2. The patches in the dataset are all numpy data type.
DOI: 10.57760/sciencedb.j00001.00463
title: Are aluminum and iron resorbed from old leaves?
title: Are aluminum and iron resorbed from old leaves?

description: Leaf resorption is an important mechanism for plant nutrient conservation, but not all elements are resorbed by plants. It is generally believed that aluminum (Al) and iron (Fe) are not resorbed from old leaves due to their toxic effects. However, the fact is that positive Al and Fe resorptions have been found in some specific cases. To date, no one has addressed these specific cases and the mechanisms underlying.Here, a data synthesis was conducted to explore the patterns and controls on leaf resorption efficiency of Al and Fe, based on 34 published studies with 274 data points. We aimed to answer whether and why Al and Fe can be resorbed from old leaves.
description: Leaf resorption is an important mechanism for plant nutrient conservation, but not all elements are resorbed by plants. It is generally believed that aluminum (Al) and iron (Fe) are not resorbed from old leaves due to their toxic effects. However, the fact is that positive Al and Fe resorptions have been found in some specific cases. To date, no one has addressed these specific cases and the mechanisms underlying.Here, a data synthesis was conducted to explore the patterns and controls on leaf resorption efficiency of Al and Fe, based on 34 published studies with 274 data points. We aimed to answer whether and why Al and Fe can be resorbed from old leaves.
DOI: 10.57760/sciencedb.04022
title: Chromosome-level genome of a deep-sea starfish, Zoroaster sp., provides insights into the adaption of Asteroidea to the deep sea
title: Chromosome-level genome of a deep-sea starfish, Zoroaster sp., provides insights into the adaption of Asteroidea to the deep sea

description: We present a chromosome-level genome assembly of Zoroaster sp., the first high-quality genome assembly for the deep-sea Asteroidea. The genome assembly will provide a valuable resource for further studies on evolution and adaption for the echinoderms.
description: We present a chromosome-level genome assembly of Zoroaster sp., the first high-quality genome assembly for the deep-sea Asteroidea. The genome assembly will provide a valuable resource for further studies on evolution and adaption for the echinoderms.
DOI: 10.57760/sciencedb.07211
title: Shared online data of sighthound project
title: 锐目猎犬项目在线共享数据

description: Sighthound project figure data and original data
description: Sighthound project figure data and original data
DOI: 10.57760/sciencedb.o00119.00038
title: A dataset of basic soil properties for long-term monitoring sample plot of Shanghai Yangtze River Delta Research Station during 2016-2021
title: 2016-2021年上海长三角站长期监测样地土壤基本性状数据集

description: Shanghai Yangtze River Delta Ecology & Environmental Change and Control Research Station (Shanghai Station) is one of the four research station for urban ecosystems approved in 2021. Since 2016, Shanghai Station has carried out long-term soil monitoring. This dataset profile collects the basic soil properties of 12 long-term monitoring plots in different soil layers (0-10cm, 10-20cm, 20-40cm) on different urban-rural gradients at Shanghai Station from 2016 to 2021, including pH value, bulk density, organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, total zinc, total copper, total lead, total chromium. In addition, the dataset includes plot information, soil sampling and preservation, analysis method information table. The datase can be provide a data basis for the study of soil carbon sinks, soil nutrient changes, and heavy metal pollution in megacities.
description: Shanghai Yangtze River Delta Ecology & Environmental Change and Control Research Station (Shanghai Station) is one of the four research station for urban ecosystems approved in 2021. Since 2016, Shanghai Station has carried out long-term soil monitoring. This dataset profile collects the basic soil properties of 12 long-term monitoring plots in different soil layers (0-10cm, 10-20cm, 20-40cm) on different urban-rural gradients at Shanghai Station from 2016 to 2021, including pH value, bulk density, organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, available potassium, total zinc, total copper, total lead, total chromium. In addition, the dataset includes plot information, soil sampling and preservation, analysis method information table. The datase can be provide a data basis for the study of soil carbon sinks, soil nutrient changes, and heavy metal pollution in megacities.
DOI: 10.57760/sciencedb.09954
title: NJIAS Himawari-8/9 Cloud Feature Dataset (HCFD)–0.04Deg. Part III: 2020–2021
title: NJIAS Himawari-8/9 Cloud Feature Dataset (HCFD)–0.04Deg. Part III: 2020–2021

description: The NJIAS HCFD–0.04Deg provides a comprehensive description of cloud features over the west North Pacific regions spanning 10°N–50°N and 90°E–170°W. It includes 26 variables, such as cloud mask, type, top height, optical thickness, and particle effective radius, as well as snow and dust masks, which were generated from the visible and infrared measurements of the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9, based on a series of cloud retrieval algorithms developed by Dr. Zhuge. As the third part of NJIAS HCFD–0.04Deg, this dataset covers the period from January 2020 to December 2021, with a temporal resolution of 30 min and a spatial resolution of 0.04°. The data are now distributed under CC BY 4.0 license.
description: The NJIAS HCFD–0.04Deg provides a comprehensive description of cloud features over the west North Pacific regions spanning 10°N–50°N and 90°E–170°W. It includes 26 variables, such as cloud mask, type, top height, optical thickness, and particle effective radius, as well as snow and dust masks, which were generated from the visible and infrared measurements of the Advanced Himawari Imager onboard the Japanese geostationary satellites Himawari-8/9, based on a series of cloud retrieval algorithms developed by Dr. Zhuge. As the third part of NJIAS HCFD–0.04Deg, this dataset covers the period from January 2020 to December 2021, with a temporal resolution of 30 min and a spatial resolution of 0.04°. The data are now distributed under CC BY 4.0 license.
DOI: 10.57760/sciencedb.psych.00110
title: Data from: Inter-Word Spaces Across Writing Systems
title: Data from: Inter-Word Spaces Across Writing Systems

description: This dataset includes word lists and character lists of different writing systems collected from online resources, files for data analysis, codes for visualization and results. For more information, please see README.txt in attached files.
description: This dataset includes word lists and character lists of different writing systems collected from online resources, files for data analysis, codes for visualization and results. For more information, please see README.txt in attached files.
DOI: 10.57760/sciencedb.02938
title: A dataset of 1km Grid Road network density in China(2019）
title: 2019年中国1km格网路网密度数据集

description: Road network density is the basic index of evaluating regional road development scale and road network development degree, as a comprehensive characterization index, road network density measurement and monitoring of regional evaluation is an important index of regional traffic and economic development, and provide reference for urban road management and control measures, is of great significance to urban planning and municipal management. This paper uses the vector data of railway land, highway land, urban and village road land and rail transit in the third National Land survey, extracts the road center line, uses the km network production software, and obtains the China 1km network density data set in 2019. This data set can be used for the study of territorial spatial planning, planning and implementation evaluation, calculation of regional transportation development status factors, and accessibility calculation.
description: Road network density is the basic index of evaluating regional road development scale and road network development degree, as a comprehensive characterization index, road network density measurement and monitoring of regional evaluation is an important index of regional traffic and economic development, and provide reference for urban road management and control measures, is of great significance to urban planning and municipal management. This paper uses the vector data of railway land, highway land, urban and village road land and rail transit in the third National Land survey, extracts the road center line, uses the km network production software, and obtains the China 1km network density data set in 2019. This data set can be used for the study of territorial spatial planning, planning and implementation evaluation, calculation of regional transportation development status factors, and accessibility calculation.
DOI: 10.57703/ce-76fkw
title: P36 - CrN Rough Sample - Universidad Nacional del Sur

description: Equipment: Carl Zeiss Smartproof 5. 
The measurements were performed using a 20x objective (C Epiplan Apochromat 20X / NA 0.7 DIC 422652-9900) in a single field of view. 
Lateral dimensions: 553.12 x 553.12 um. 
Light wavelength: 405 nm. 
Acquisition software: ZEISS Efficient Navigation (ZEN). 
Measurement software: ConfoMap ST 7.4.8076.