cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10580094
title: Daily 50-m SWE dataset for the Maipo, Aconcagua, Mendoza and Tunuyan river basins (01/04/2018-31/03/2023) based on remote sensing data

description: This dataset is derived by combining multi-source remote sensing observations (e.g., multi-resolution optical images) with in-situ observations. The time-series are provided for the four adjacent basins of Rio Maipo and Aconcagua (Chile) and the upper Rio Mendoza and Tunuyàn (Argentina). The SWE time-series are provided for the last five hydrological seasons, i.e., from 01/04/2018 until 31/03/2023. SCA can be derived as well by simply thresholding pixels with SWE>0. The time-series are provided as monthly NetCDF files with EPSG:32719-WGS 84/UTM, spatial resolution 50 m and daily maps.
DOI: 10.5281/zenodo.10686756
title: Daily Snow Water Equivalent (SWE) time-series for the Venosta Valley at 50 m spatial resolution - 2017 to 2022

description: General Description

The dataset contains daily Snow Water Equivalent (SWE) time-series at 50 m spatial resolution for five hydrological seasons spanning from 1st October 2017 to 30th September 2022. The dataset is based on remote sensing data (Sentinel-2, MODIS) that are merged together to achieve high spatial and temporal detail, as well as in-situ data (temperature and snow depth). The SWE is reconstructed by using a degree-day model.  The dataset can be used in many applications like hydrological modeling, water resource management or hydropower planning. 

Data Details



Time period: 1st October 2017 - 30th September 2022

Type of data: Snow Water Equivalent (SWE) [mm]

How the data was collected or derived: Derived from Sentinel-2, MODIS and in-situ temperature and snow depth data

Statistical methods used: Generalized Additive Model (GAM)

Limitations or exclusions in the data: The dataset does not include glacierized areas

Coordinate reference system: EPSG:3035

Bounding box (Xmin, Ymin, Xmax, Ymax): (4344230.449, 2592049.728, 4405893.303, 2640759.882)

Spatial resolution: 50 m

Image size: 1233 x 974

File format: Cloud Optimized Geotiff (COG) format.


Support

If you discover a bug, artifact, or inconsistency, or if you have a question please contact the authors.

Reference

Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2023). Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments. The Cryosphere, 17(6), 2387-2407. https://doi.org/10.5194/tc-17-2387-2023 

 

Name convention

To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:



generic variable name: swe = snow water equivalent

variable procedure combination: reconstruction

Position in the probability distribution / variable type: c = continuous

Spatial support: 50m

Depth reference: s = surface

Time reference begin time: 20171001 = 2017-10-01

Time reference end time: 20220930 = 2022-09-30

Bounding box: it = Italy (Venosta Valley)

EPSG code: epsg.3035 = EPSG:3035

Version code: v20240212 = 2024-02-12 (creation date)
DOI: 10.5281/zenodo.10686757
title: Daily Snow Water Equivalent (SWE) time-series for the Venosta Valley at 50 m spatial resolution - 2017 to 2022

description: General Description

The dataset contains daily Snow Water Equivalent (SWE) time-series at 50 m spatial resolution for five hydrological seasons spanning from 1st October 2017 to 30th September 2022. The dataset is based on remote sensing data (Sentinel-2, MODIS) that are merged together to achieve high spatial and temporal detail, as well as in-situ data (temperature and snow depth). The SWE is reconstructed by using a degree-day model.  The dataset can be used in many applications like hydrological modeling, water resource management or hydropower planning. 

Data Details



Time period: 1st October 2017 - 30th September 2022

Type of data: Snow Water Equivalent (SWE) [mm]

How the data was collected or derived: Derived from Sentinel-2, MODIS and in-situ temperature and snow depth data

Statistical methods used: Generalized Additive Model (GAM)

Limitations or exclusions in the data: The dataset does not include glacierized areas

Coordinate reference system: EPSG:3035

Bounding box (Xmin, Ymin, Xmax, Ymax): (4344230.449, 2592049.728, 4405893.303, 2640759.882)

Spatial resolution: 50 m

Image size: 1233 x 974

File format: Cloud Optimized Geotiff (COG) format.


Support

If you discover a bug, artifact, or inconsistency, or if you have a question please contact the authors.

Reference

Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2023). Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments. The Cryosphere, 17(6), 2387-2407. https://doi.org/10.5194/tc-17-2387-2023 

 

Name convention

To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:



generic variable name: swe = snow water equivalent

variable procedure combination: reconstruction

Position in the probability distribution / variable type: c = continuous

Spatial support: 50m

Depth reference: s = surface

Time reference begin time: 20171001 = 2017-10-01

Time reference end time: 20220930 = 2022-09-30

Bounding box: it = Italy (Venosta Valley)

EPSG code: epsg.3035 = EPSG:3035

Version code: v20240212 = 2024-02-12 (creation date)
DOI: 10.5281/zenodo.8036793
title: Snow Water Equivalent Dataset for the South Fork of the San Joaquin River (2018/2021) and Senales (2019/2021)

description: The dataset is related to: Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2022). Exploring the Use of Multi-source High-Resolution Satellite Data for Snow Water Equivalent Reconstruction over Mountainous Catchments. <em>The Cryosphere Discussions</em>, 1-42. It contains three hydrological seasons - from 1st of October 2018 to 30th of September 2021 - of snow water equivalent (SWE) for the South Fork of the San Joaquin river in California (USA) and two hydrological seasons - from 1st of October 2019 to 30th of September 2021 - for the Schnals/Senales basin in South Tyrol (Italy). The product is daily and with a spatial resolution of 25 m. SWE values are in mm. Snow cover area (SCA) can be derived from the same by thresholding pixel containing SWE greater than 0 mm. Further information about the reference system is contained in the attributes of the netcdf files. Please, contact the authors for further questions. Information about the methodology and the input data for producing these time series is contained in the related article.
description: {"references": ["Premier, V., Marin, C., Bertoldi, G., Barella, R., Notarnicola, C., & Bruzzone, L. (2022). Exploring the Use of Multi-source High-Resolution Satellite Data for Snow Water Equivalent Reconstruction over Mountainous Catchments.\u00a0The Cryosphere Discussions, 1-42."]}
DOI: 10.17632/t8fnb5vmtr.1
title: Dataset on double mutation in PGIP of Glycine max improves defense to PG of Sclerotinia sclerotiorum

description: The cell wall of the Glycine max altered by the polygalacturonases (PGs) secreted by
the fungus Sclerotinia sclerotiorum, causes disease and quality losses. In soybeans, a
resistance protein called polygalacturonases-inhibiting proteins (PGIPs) binds to the
PG to block fungal infection. The active site residues of PGIP3, VAL170 and GLN242
are mutated naturally by various amino acids in different types of PGIPs. Therefore, the
mutation of VAL170 to GLY is ineffective but the GLN242 amino acid mutation by LYS
significantly alters the structure and is crucial for interacting with the PG protein.
Docking and Molecular Dynamics simulation provide a comprehensive evaluation of
the interactions between gmPGIP and ssPG. By elucidating the structural basis of the
interaction between gmPGIP and ssPG, this investigation lays a foundation for the
development of targeted strategies in-order to enhance soybean resistance against
Sclerotinia sclerotiorum. By leveraging this knowledge, researchers can potentially
engineer soybean varieties with improved resistance to the fungus, thereby reducing
disease incidence and improving crop yields.
DOI: 10.17632/m6j6jzzt36.1
title: Oxygen-dependent histone lysine demethylase 4 restricts hepatitis B virus replication

description: Mammalian cells have evolved strategies to regulate gene expression when oxygen is limited. Hypoxia inducible factors (HIF) are the major transcriptional regulators of host gene expression. We previously reported that HIFs bind and activate hepatitis B virus (HBV) DNA transcription under low oxygen conditions; however, the global cellular response to low oxygen is mediated by a family of oxygenases that work in concert with HIFs. Recent studies have identified a role for chromatin modifiers in sensing cellular oxygen and orchestrating transcriptional responses, but their role in the HBV life cycle is as yet undefined. We demonstrated that histone lysine demethylase 4 (KDM4) can restrict HBV, and pharmacological or oxygen-mediated inhibition of the demethylase increases viral RNAs derived from both episomal and integrated copies of the viral genome. Sequencing studies demonstrated that KDM4 is a major regulator of the hepatic transcriptome, which defines hepatocellular permissivity to HBV infection. We propose a model where HBV exploits cellular oxygen sensors to replicate and persist in the liver. Understanding oxygen-dependent pathways that regulate HBV infection will facilitate the development of physiologically relevant cell-based models that support efficient HBV replication.
DOI: 10.17632/3fpsxfr7cw.1
title: HUMAN RIGHTS AND SUSTAINABLE RECOVERY FROM THE COVID – 19 PANDEMIC

description: The shielding and advancement of human rights, and dreaming for a sustainable social and economic recuperation from the pandemic-19, are entwined and interconnected; functional chance of human rights and reasonable recuperation can't be compared. Shielding human existence in the pandemic can just occur by legitimate ventilation of human rights and subsidized health coverage system. Well-being points will surely advance human rights in the pandemic. This proposed study aims to explore the association between human rights and a substantial and bankable recuperation from the pandemic, which will persevere through and keep going long. Utilizing an assortment of subjective and quantitative overview strategy examination, and documentary research methodology, this exploration paper broke down the proof of human rights alongside the health care rights, and their certainty for a substantial and reasonable recuperation from the pandemic-19, from 2019-2021. The closeness of more noteworthy human rights practice and better, quicker recuperation from the pandemic-19 was discovered to be logical and genuine wonders. The paper tracked down that the higher the size of human rights infringement, the more noteworthy the counter-vote-based vibe for a genuine and epic recuperation from the pandemic-19; and various sorts of basic liberties infringement that has happened during the pandemic. The investigation unquestionably responds to the inquiry in regards to the relationship of defended and supported basic human rights and quicker and epic recuperation from the pandemic 19. Further examinations are needed to set up a logical connection between supported sustained human rights and supported recuperation and foster precaution measures.
DOI: 10.21227/6b3b-w575
title: An all-optical fiber sensor based on Tapered No-Core Fiber coated with PDMS and Ti3C2Tx MXene

description: The performance, repeatability, and stability of the sensor were measured,Sensors are applied to gesture recognition and human-computer interaction. By utilizing wavelength division multiplexing technology, multiple sensors measure finger movements and improve recognition accuracy through backpropagation neural network algorithms. Five commonly used gestures were recognized and the sensor posture was determined based on light intensity. This type of structural sensor has advantages such as direct design, cost-effectiveness, and consistent performance, making it highly suitable for potential applications in various fields, including environmental monitoring, wearable devices, and human-computer interaction.We hope that this sensor can be better applied in various scenarios and can be used in artificial intelligence.
DOI: 10.17632/jpskntrrjp.1
title: A Descriptive Socio-Legal Assessment on Gender and Human Rights

description: Human rights violations of women and abuse against women are structured and underlying in India, introduced in socioeconomic guidelines and laws that structure the family, neighborhood, climate, and state plans. Along these lines, it is an expanding worry in India and across the globe as the rising occurrence of infringements of women's human rights is on high. The purpose of this study is to investigate and examine the knowledge and mindfulness of human rights among women and its connection and association with the overall advancement of women in their day-today existence. Using a descriptive research method, both qualitative and quantitative data were gathered on women's mindfulness and knowledge of various human rights available to them. The proximity of intense and thorough knowledge of women's human rights was found to play the greatest role in the comprehensive socioeconomic development of women. This study definitively answers the question regarding the correlation between proximity to women's human rights mindfulness and fertile platform and ambiance for their fuller growth and development as human beings. Further investigations are expected to set up causal relations and foster a more full-bodied conceivable climate and social construction for the security and acknowledgment of women's human rights.
DOI: 10.34740/kaggle/dsv/7678258
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.17632/mvvj7djj69.1
title: Original data set for "Flexible Scaffold-based Cheminformatics Approach for Polypharmacological Drug Design"

description: This is an original data set for the paper titled "Flexible Scaffold-based Cheminformatics Approach for Polypharmacological Drug Design". This data set provides the source data about the in vitro pharmacological characterizations of the compounds, in vivo animal test results, and the docking calculations and measurements illustrated in those figures of the paper. This is one excel file.
DOI: 10.17632/mps96zhgwf.1
title: raw data

description: raw data for “ATG5-mediated keratinocyte ferroptosis promotes M1 polarization of macrophages to aggravate UVB-induced skin inflammation ”
DOI: 10.17632/7wx7fdzvtx.1
title: Horizontal slices and latitude sections of the 3-D lithospheric model of the North China Craton inverted with magnetotelluric array data

description: To map the resistivity structure and discuss the destruction of the North China Craton, we inverted 870 stations of magnetotelluric (MT) array data in a period range of 0.01~10,000 s using ModEM. These data were collected from 2010 to 2012 by China University of Geosciences Beijing. MTU-5A and Lemi-417 instruments were used to collect broadband and long-period data, respectively. Broadband and long-period Data were processed using SSMT2000 and Varentsov’s code, respectively, giving the broadband data a period range of 0.003 ~ 5,000 s and the long-period data a period range of 10 ~ 10,000 s. The folder “./ Coordinates” contains two files: “All stations.txt”, coordinates of all inverted MT stations in Longitude/Latitude format; “LMT.txt”, coordinates of all inverted long-period MT stations. The folder “./ Latitude Sections” contains resistivity sections cut from the 3-D resistivity model along latitudes in X(km)/Y(km)/Log10(rho) format. The folder “./ Horizontal Slices” contains horizontal resistivity slices cut from the 3-D resistivity model at some depths in Longitude/Latitude/Log10(rho) format.
DOI: 10.17632/jmf7ckmtzb.1
title: Search Strategy of A Systematic Review and Meta-Analysis

description: This systematic evaluation adheres to the guidelines established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA statement). We conducted a comprehensive literature search across Chinese and English databases, including PubMed, Embase, the Cochrane Library, Web of Science core databases, Ovid Medline, CNKI, and Wanfang, exclusively selecting studies published between January 1, 2020, and January 10, 2024.
DOI: 10.5281/zenodo.10691875
title: Datasets used in "Hypernetworks Build Implicit Neural Representations of Sounds"
title: Datasets used in "Hypernetworks Build Implicit Neural Representations of Sounds"

description: Open-source datasets available in torchaudio datasets (https://pytorch.org/audio/stable/datasets) used in the paper "Hypernetworks Build Implicit Neural Representations of Sounds"
DOI: 10.5281/zenodo.10691876
title: Datasets used in "Hypernetworks Build Implicit Neural Representations of Sounds"
title: Datasets used in "Hypernetworks Build Implicit Neural Representations of Sounds"

description: Open-source datasets available in torchaudio datasets (https://pytorch.org/audio/stable/datasets) used in the paper "Hypernetworks Build Implicit Neural Representations of Sounds"
DOI: 10.17632/kzwzddfhwk.1
title: 3-D lithospheric resistivity model of the Northern Margin of the Central North China Craton inverted with magnetotelluric array data

description: To study the deep origin of the Cenozoic volcanoes and basalts in the Northern Margin of the Central North China Craton, magnetotelluric (MT) array data were inverted using ModEM code. The attached file in the “./Coordinates” directory is the coordinates of 81 MT stations and EDI files used in this research. The files in the “./model-ModEM-iters143” directory are the output files of ModEM after 143 iterations, which can be plotted with many public codes, including Dong’s that can be downloaded via the link “https://github.com/dong-hao/EM3DVP”.
DOI: 10.17632/5ft4dd4v5n.1
title: Frugal innovation

description: This data was used to carry out research on an assessment of the adoption of frugal innovation for construction projects in Lagos state, Nigeria
DOI: 10.6084/m9.figshare.25265749.v1
title: <b>Wood-inspired metamaterial catalyst for robust and high-throughput water purification</b>

description: The dataset includes the manufacturing deviation, compressive modulus, yield strength, fluid flow rate, pressure drop, permeability, normalized degradation kinetics constant experimental results and partial calculation results of 3D-printed SS/Co-based metamaterial catalysts, as well as X-ray photoelectron spectroscopy and electron paramagnetic resonance characterization results of the catalysts.
DOI: 10.5517/ccdc.csd.cc29zwx3
title: CCDC 2144856: Experimental Crystal Structure Determination

description: Related Article: Zhang Peicheng, Li Yan, Yan Haiwei, Deng Haidong, Yang Yannan, Jiang Jian, Shuang Yuanxiang, Zhang Xu, Zhao Linghao|2022|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g86pn
title: CCDC 2272011: Experimental Crystal Structure Determination

description: Related Article: Zhaojiang Shi, Shicheng Dong, Ting Liu, Wei-Zhen Wang, Nan Li, Yaofeng Yuan, Jun Zhu, Ke-Yin Ye|2024|Chemical Science|15|2827|doi:10.1039/D3SC05229J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g86qp
title: CCDC 2272012: Experimental Crystal Structure Determination

description: Related Article: Zhaojiang Shi, Shicheng Dong, Ting Liu, Wei-Zhen Wang, Nan Li, Yaofeng Yuan, Jun Zhu, Ke-Yin Ye|2024|Chemical Science|15|2827|doi:10.1039/D3SC05229J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gj135
title: CCDC 2279526: Experimental Crystal Structure Determination

description: Related Article: Matthias Schnitzlein, Kazutaka Shoyama, Frank Würthner|2024|Chemical Science|15|2984|doi:10.1039/D3SC05171D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gj146
title: CCDC 2279527: Experimental Crystal Structure Determination

description: Related Article: Matthias Schnitzlein, Kazutaka Shoyama, Frank Würthner|2024|Chemical Science|15|2984|doi:10.1039/D3SC05171D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.25257223
title: <b>Lipids in the root tips were largely altered by loss-function of three RLKs in </b><b><i>Arabidopsis thaliana</i></b>

description: Root tips can sense moisture gradients and grow into environments with higher water potential. This process is called root hydrotropism. Here, we report three closely related receptor-like kinases (RLKs) that play critical roles in root hydrotropism: <i>A</i><i>LTERED</i><i> R</i><i>OOT </i><i>H</i><i>YDROTROPIC RESPONSE 1 </i>(<i>ARH1</i>), <i>FEI1</i>, and <i>FEI2</i>. Overexpression of these <i>RLKs</i> strongly reduced root hydrotropism, but corresponding loss-of-function mutants exhibited an increased hydrotropic response in their roots. All these RLKs showed polar localization at the plasma membrane regions in the root tips. The biosynthesis of the cell wall, cutin, and wax (CCW) was significantly impaired in the root tips of <i>arh1-2 fei1-C fei2-C</i>. A series of known CCW mutants also exhibited increased root hydrotropism and reduced osmotic tolerance, similar to the characteristics of the triple mutant. Our results demonstrated that the integrity of the cell wall, cutin, and previously unreported root cap wax mediate the trade-off between root hydrotropism and osmotic tolerance.