cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30565943.v1
title: Mass spectrometry datasets for the analysis of extracellular vesicles (EVs) and the protein corona of various lipid nanoparticles

description: Mass spectrometry datasets for the analysis of extracellular vesicles (EVs; Dataset 1) and the protein corona (Dataset 2) of various lipid nanoparticles.
DOI: 10.5281/zenodo.18217055
title: ONLAYN TA'LIMDA ALGEBRA FANINI SAMARALI O'QITISH STRATEGIYALARI

description: Mazkur maqolada onlayn ta’lim sharoitida algebra fanini samarali o‘qitish masalalari ilmiy-pedagogik jihatdan tahlil etilgan. Tadqiqot jarayonida masofaviy ta’limning algebra fanini o‘qitishdagi o‘ziga xos xususiyatlari, raqamli texnologiyalardan foydalanish imkoniyatlari hamda interaktiv o‘qitish strategiyalarining ahamiyati yoritilgan. Shuningdek, individual va differensial yondashuv, mustaqil ta’limni tashkil etish, baholash va teskari aloqaning ta’lim samaradorligiga ta’siri asoslab berilgan. Maqolada keltirilgan nazariy va amaliy tavsiyalar onlayn algebra darslarining sifatini oshirish, o‘quvchilarda mantiqiy va tanqidiy fikrlash ko‘nikmalarini rivojlantirishga xizmat qiladi.
DOI: 10.5281/zenodo.18217054
title: ONLAYN TA'LIMDA ALGEBRA FANINI SAMARALI O'QITISH STRATEGIYALARI

description: Mazkur maqolada onlayn ta’lim sharoitida algebra fanini samarali o‘qitish masalalari ilmiy-pedagogik jihatdan tahlil etilgan. Tadqiqot jarayonida masofaviy ta’limning algebra fanini o‘qitishdagi o‘ziga xos xususiyatlari, raqamli texnologiyalardan foydalanish imkoniyatlari hamda interaktiv o‘qitish strategiyalarining ahamiyati yoritilgan. Shuningdek, individual va differensial yondashuv, mustaqil ta’limni tashkil etish, baholash va teskari aloqaning ta’lim samaradorligiga ta’siri asoslab berilgan. Maqolada keltirilgan nazariy va amaliy tavsiyalar onlayn algebra darslarining sifatini oshirish, o‘quvchilarda mantiqiy va tanqidiy fikrlash ko‘nikmalarini rivojlantirishga xizmat qiladi.
DOI: 10.5281/zenodo.17394716
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 1

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the first batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.5281/zenodo.17394715
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 1

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the first batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.57760/sciencedb.ecodb.00291
title: A dataset of carbon and water fluxes of the mangrove wetland ecosystem at Yunxiao Station from 2019 to 2020
title: 2019-2020年云霄红树林湿地生态系统碳水通量观测数据集

description: This dataset includes the flux observation data of Yunxiao mangrove wetland ecosystem from 2019 to 2020. The raw observation data were collected at the Zhangjiangkou mangrove wetland ecosystem positioning research station. We processed the raw data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the data for each year consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY). 
description: This dataset includes the flux observation data of Yunxiao mangrove wetland ecosystem from 2019 to 2020. The raw observation data were collected at the Zhangjiangkou mangrove wetland ecosystem positioning research station. We processed the raw data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the data for each year consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.5281/zenodo.18168876
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 2

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the second batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.5281/zenodo.18168877
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 2

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the second batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.5281/zenodo.18168974
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 3

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the third batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.5281/zenodo.18168975
title: NuCorpus-15M: A Large-Scale DAPI-Stained Cell Nucleus Image Dataset-Part 3

description: Dataset Description

NuCorpus-15M is a large-scale dataset specifically created for nuclear morphology analysis in biomedical research. It consists of 15.52 million high-quality DAPI-stained cell nucleus images, representing a diverse range of human and mouse tissues, both diseased and non-diseased. The dataset spans 15 different organs or tissue types and has been meticulously curated to ensure high consistency and quality for various downstream tasks.

Dataset Details



Total Images: 15.52 million

Species: Human (78.9%) and Mouse (21.1%)

Tissues Covered: Breast, colon, brain, tonsil, and more.

Data Source: Images are derived from 56 standardized high-resolution tissue sections provided by 10x Genomics' Xenium platform.

Sub-image size: 112x112 pixels, each centered around a cell nucleus.

File format: HDF5 for both images and metadata, facilitating efficient large-scale data handling.

Preprocessing: All images in NuCorpus-15M have been pre-processed for grayscale conversion and Normalization.

Data Distribution: The dataset is divided into 20 parts, and this is the third batch.


Dataset Structure

Each entry in the dataset consists of a DAPI-stained image and its corresponding metadata, stored in HDF5 format to facilitate efficient access. The images have been pre-processed to normalize fluorescence intensity and remove suboptimal images.
DOI: 10.5281/zenodo.18217064
title: KADRLAR BOSHQARUVIDA STRATEGIK LIDERLIKNING SAMARADORLIKKA TA'SIRI

description: Mazkur ilmiy maqolada kadrlar boshqaruvi tizimida strategik liderlikning tashkilot samaradorligiga ta’siri tahlil qilinadi. Zamonaviy iqtisodiyot sharoitida tashkilotlarning barqaror rivojlanishi ko‘p jihatdan inson resurslarini samarali boshqarish va liderlik salohiyatiga bog‘liq. Strategik liderlik kadrlar boshqaruvida uzoq muddatli maqsadlarni belgilash, inson kapitalini rivojlantirish, xodimlar motivatsiyasini oshirish hamda tashkiliy madaniyatni mustahkamlashda muhim omil hisoblanadi. Maqolada strategik liderlik tushunchasi, uning asosiy xususiyatlari va HR menejment bilan o‘zaro bog‘liqligi nazariy jihatdan yoritilgan. Shuningdek, liderlik uslublarining xodimlar samaradorligi, mehnat unumdorligi va tashkiliy natijalarga ta’siri ilmiy manbalar asosida tahlil qilingan. Tadqiqot davomida strategik liderlikning kadrlar boshqaruvi jarayonlariga integratsiyalashuvi tashkilotlarda innovatsion muhitni shakllantirish, xodimlar sadoqatini kuchaytirish va raqobatbardoshlikni oshirishga xizmat qilishi asoslab beriladi. Maqolada tahliliy va taqqoslash usullaridan foydalanilgan bo‘lib, strategik liderlikni samarali qo‘llash orqali kadrlar boshqaruvi tizimining natijadorligini oshirish mumkinligi xulosa qilinadi. Tadqiqot natijalari tashkilot rahbarlari, HR mutaxassislari hamda kadrlar boshqaruvi sohasida ilmiy izlanish olib borayotgan tadqiqotchilar uchun amaliy va nazariy ahamiyatga ega.
DOI: 10.5281/zenodo.18217063
title: KADRLAR BOSHQARUVIDA STRATEGIK LIDERLIKNING SAMARADORLIKKA TA'SIRI

description: Mazkur ilmiy maqolada kadrlar boshqaruvi tizimida strategik liderlikning tashkilot samaradorligiga ta’siri tahlil qilinadi. Zamonaviy iqtisodiyot sharoitida tashkilotlarning barqaror rivojlanishi ko‘p jihatdan inson resurslarini samarali boshqarish va liderlik salohiyatiga bog‘liq. Strategik liderlik kadrlar boshqaruvida uzoq muddatli maqsadlarni belgilash, inson kapitalini rivojlantirish, xodimlar motivatsiyasini oshirish hamda tashkiliy madaniyatni mustahkamlashda muhim omil hisoblanadi. Maqolada strategik liderlik tushunchasi, uning asosiy xususiyatlari va HR menejment bilan o‘zaro bog‘liqligi nazariy jihatdan yoritilgan. Shuningdek, liderlik uslublarining xodimlar samaradorligi, mehnat unumdorligi va tashkiliy natijalarga ta’siri ilmiy manbalar asosida tahlil qilingan. Tadqiqot davomida strategik liderlikning kadrlar boshqaruvi jarayonlariga integratsiyalashuvi tashkilotlarda innovatsion muhitni shakllantirish, xodimlar sadoqatini kuchaytirish va raqobatbardoshlikni oshirishga xizmat qilishi asoslab beriladi. Maqolada tahliliy va taqqoslash usullaridan foydalanilgan bo‘lib, strategik liderlikni samarali qo‘llash orqali kadrlar boshqaruvi tizimining natijadorligini oshirish mumkinligi xulosa qilinadi. Tadqiqot natijalari tashkilot rahbarlari, HR mutaxassislari hamda kadrlar boshqaruvi sohasida ilmiy izlanish olib borayotgan tadqiqotchilar uchun amaliy va nazariy ahamiyatga ega.
DOI: 10.15468/dl.sx3skt
title: Occurrence Download

description: A dataset containing 29568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium acaule Aiton"
 ]
}

 The dataset includes 29568 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265273-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvjb83
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cydia ermolenkoi (Danilevsky, 1968)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224821-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4curw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nurudea ibofushi Matsumura, 1917",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224829-220831081235567/datasets/export for details.
DOI: 10.15468/dl.qfyd9e
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ostryopsis davidiana Decne.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 157 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265262-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5d2ghb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nippononeta masatakana Ono & Saito, 2001",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224831-220831081235567/datasets/export for details.
DOI: 10.15468/dl.eykpj9
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxytropis ochrocephala Bunge",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265274-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3fbe6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnaphosa potanini Simon, 1895",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224834-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yubutm
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ottelia acuminata (Gagnep.) Dandy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 84 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265264-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a4jmw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zygina yamashiroensis Matsumura, 1916",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224838-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kgaen
title: Occurrence Download

description: A dataset containing 743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ara militaris (Linnaeus, 1766)",
 "Year 2015-2023"
 ]
}

 The dataset includes 743 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260307-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vnsky
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ozana chinensis Leech, 1900",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224840-220831081235567/datasets/export for details.
DOI: 10.15468/dl.ycxu7z
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxytropis yunnanensis Franch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 94 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265277-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzae3x
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thrips palmi Karny, 1925"
 ]
}

 The dataset includes 1246 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260296-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26050/wdcc/cd4_wfns_hind_e5_36m
title: Hindcast scenario for the North Sea using COSMO6.0-clm driven with ERA5. Calculated potential power with 3.6 MW turbines

description: Project: coastDat-4 - CoastDat-4 (https://www.coastdat.de/about_us/) comprises a compilation of consistent hindcasts obtained from numerical models. The dataset's atmospheric part is simulated using the COSMO in CLimate Mode version 6 (http://www.clm-community.eu) with different boundary conditions. The objective is to provide a consistent meteo-marine data set.
This new data set should be understood as an upgrade of the coastDat-3 data.
Summary: Potential generated power under the assumption of no wind farm interaction (wake effects neglected) using power formulation from the wind farm parametrization from Fitch et al., 2012 (referenced by Elizalde, 2023). Turbines rated capacity of 3.6 MW. Hindcast simulation for the North Sea using COSMO6.0-CLM version driven with ERA5 reanalysis data. The covered period is from 2012 to 2018 with hourly frequency output. The model uses a rotated grid with 356 x 396 grid points and a grid spacing of 0.02 degrees, the rotated North pole is located at 180 W, 30 N.
We gratefully acknowledge financial support through the H2Mare PtX-Wind project with funds provided by the Federal Ministry of Education and Research (BMBF) under Grant No. 03HY302J.