cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/115d5e4ebf7148ec941423ec86fa9f26
title: HadEX3: Global land-surface climate extremes indices v3.0.4 (1901-2018)

description: HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). 

Spatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.

All indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110').

Version 3.0.4 was added due to an error in how the Rx1day and Rx5day data were being handled for one of the West African data sources. More details can be found in the HadEX3 blog under 'Details/Docs' tab.

Additionally, an extension to HadEX3, comprising additional indices recommended by the WMO Expert Team on Sector-specific Climate Indices (ET-SCI), has been produced. These data are available in a separate dataset connected to this record, marked as supplemental to this dataset.
DOI: 10.15468/dl.v3wbpp
title: Occurrence Download

description: A dataset containing 1083 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Farlowella venezuelensis Martín Salazar, 1964, Farlowella vittata Myers, 1942, Farlowella colombiensis Retzer & Page, 1997, Farlowella acus (Kner, 1853))"
 ]
}

 The dataset includes 1083 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024060-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/wdcc/ipcc_eh4_opyc_sres_a2_mm
title: IPCC_ECHAM4OPYC_SRES_A2_MM

description: Project: IPCC Data Distribution Centre : Third Assessment Report data sets - The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO und UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and option for adaption and migration. Projection of future trends for a number of key variables are provided through this section of the DDC (http://ipcc-data.org/sim/gcm_clim/SRES_TAR ). This information contained in either IS92 emission scenarios (IPCC 1992), the Special Report on Emission Scenarios (IPCC 2000, SRES) or published model studies using data from these scenarios. Six alternative IPCC scenarios (IS92a to f) were published in the 1992 Supplementary Report to the IPCC Assessment. These scenarios embodied a wide array of assumption affecting how future greenhouse gas emissions might evolve in the absence of climate policies beyond those already adoped. The SRES scenarios have been constructed to explore future developments in the global enviromental with special reference to the production of greenhouse gases and aerosol precursor emission. A set of four scenario families (A1, A2, B1, B2) have been developed that each of this storylines describes one possible demographic, polito-economic, societal and technological future. Model experiments, also using different forcing scenarios, were calculated at other modeling centres. Emissions Scenarios. 2000 ,Special Report of the Intergovernmental Panel on Climate Change Nebojsa Nakicenovic and Rob Swart (Eds.) Cambridge University Press, UK. pp 570 Summary: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmosphere component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html). This data set is an enlargement of the IPCC data set and provides additionel meteorological parameters. The run produces monthly averaged values of the variabeles. Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment "EH4OPYC_22723GSDIO") which has been run with observed conditions for the time period 1860-1990.
DOI: 10.17909/3aqh-ah32
title: DATA from paper

description: The dataset of KIC 6362386
DOI: 10.21227/24m9-a446
title: Intrusion Detection in CAN bus

description: These datasets are used to detect Intrusions in Controller Area Network (CAN) bus. Intrusions are detected using various Machine Learning and Deep Learning algorithms..
DOI: 10.26050/wdcc/gcos_ehi_1960-2020_ahc
title: GCOS EHI 1960-2020 Atmospheric Heat Content

description: Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Atmosphere_Heat_Content_data.nc” presents an updated estimate of the atmospheric heat content (AHC) from 1960-2020 calculated using observational data and reanalyses. The estimate is given for the AHC relative to 1960. This represents an update to the record described in von Schuckmann et al. (2020) with the ENSO signal removed. The data are used in von Schuckmann et al. (2022).
DOI: 10.26050/wdcc/gcos_ehi_1960-2020_ohc_v2
title: GCOS EHI 1960-2020 Earth Heat Inventory Ocean Heat Content (Version 2)

description: Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).
DOI: 10.5281/zenodo.10904361
title: CEDS v_2024_04_01 Release Emission Data

description: Emissions data files by emission species (SO2, NOx, BC, OC, NH3, NMVOC,  CO, CO2, CH4, N2O), country, and sector produced by the April-01-2024 release of CEDS. 

See the CEDS GitHub site for details including journal paper reference information and any known issues with this data.

The three file bundles are:

CEDS_v_2024_04_01_aggregate.zip (global by sector, global by fuel, country total, country and sector)CEDS_v_2024_04_01_detailed.zip (country, sector, and fuel)CEDS_v_2024_04_01_supplementary_bunkers.zip (Additional detail for aviation and shipping by country)(Metadata for this record is still under construction...)
DOI: 10.5281/zenodo.12702689
title: GIS integration for spatial analysis of urban expansion in Tisaleo canton (Ecuador).

description: Political or economic interests have led to an empirical zonal delimitation, and the deficient use of Geographic Information Systems does not allow the specific characterisation of the territories. This article aims to determine the spatial analysis of the urban expansion areas of the canton of Tisaleo by integrating Geographic Information Systems, using a quantitative research method. The main components analysed are: the situational diagnosis of the canton through the characterisation of its biophysical component, its human settlements and the public system of facilities and social services that support it. Based on this information, an interrelation of the data collected is carried out to complement a spatial analysis with GIS software. The results show that in the canton of Tisaleo there are areas suitable for urban growth, but their limits are overdimensioned, i.e. they include areas that do not have the aptitude to be urbanised, as well as rural areas that have the characteristics to be considered urban.
DOI: 10.5281/zenodo.8348064
title: Preparatory Process in Advance of Runaway Fault Rupture through Fluid Injection observed in Laboratory Experiments using a Large Specimen of Sub-meter scale

description: Fault slip is initiated by locally applied fluid pressure, and it can expand unstably over a wide area causing elastic waves having magnitudes that induce felt or destructive earthquakes. Thus, it is important to examine the unstable expansion of initial slips. However, it is hard to reproduce the process by general setup of laboratory experiment such as triaxial loading tests on cylindrical specimens with inclined faults. In this study, we prepared a cubic specimen of sub-meter scale, which was separated into two triangular prisms by a model fault. The specimen was subjected to bi-axial compressions with different magnitudes. A 2D array of strain gauges was embedded beneath the fault plane to measure the changes in shear strain with the fault slip driven by fluid injection. Based on the experimental results, we discussed the features of fault slips that lead to injection-induced earthquake. The dataset obtained by the experiments were presented in the current data repository.
DOI: 10.6084/m9.figshare.27274791
title: Supplementary Material for: Hypoxia reduces mouse urine output via HIF1α–mediated up–regulation of renal AQP1

description: Introduction:
Patients with acute mountain sickness (AMS) due to hypoxia at high altitudes often exhibit abnormal water metabolism. Hypoxia-inducible factors (HIFs) are major regulators of adaptive responses to hypoxia. As transcription factors, HIFs are involved in the regulation of erythropoiesis, iron metabolism, angiogenesis, energy metabolism, and cell survival by promoting the transcriptional expression of hundreds of target genes. Roxadustat, a novel drug for the treatment of anemia associated with chronic kidney disease, acts by inhibiting the degradation of HIFs to increase their protein levels. However, the clinical use of roxadustat is frequently associated with peripheral edema, suggesting the involvement of HIFs in regulating the body's water balance possibly by modulating water reabsorption in the kidney. 
Methods:
we first evaluated the effect of hypoxia (8% O2) on mouse urine output. We then performed in vitro experiments using hypoxia (1% O2) and roxadustat on mouse primary proximal tubular cells (mPTCs). The qPCR, western blot, and immunofluorescence were used to assess AQP1 mRNA and protein expression levels. Luciferase, CHIP, and EMSA were used to investigate the transcriptional regulation of AQP1 by HIF1α.
Results:
We found that mice exposed to hypoxia (8% O2) had significantly reduced urine volume compared to mice exposed to normoxia (21% O2). Hypoxia significantly elevated AQP1 expression at both mRNA and protein levels. In vitro experiments using mouse primary cultured proximal tubular cells (mPTCs) revealed that both hypoxia and roxadustat increased AQP1 expression. Mechanistically, overexpression of HIF1α, but not HIF2α, markedly increased AQP1 protein expression. Furthermore, the up-regulation of AQP1 by hypoxia and roxadustat can be blocked by the HIF1α inhibitor PX-478 in mPTCs. Finally, we found that the AQP1 gene promoter contains a putative hypoxia response element (HRE) and confirmed that AQP1 is a target gene of HIF1α using Luciferase reporter, CHIP, and EMSA assays. 
Conclusion:
This study demonstrates that hypoxia can reduce the urine volume of mice via upregulating AQP1 expression by HIF1α in the proximal tubular epithelial cells. Our findings also suggest a potential mechanism involved in water metabolism disorders in patients with AMS and in patients with chronic kidney disease (CKD) receiving roxadustat treatment.
DOI: 10.6084/m9.figshare.956083
title: Gaussian Job Archive for C8H13Cl

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.7303/syn25826362
title: Ashlar benchmark image data: human normal colon
DOI: 10.21335/nmdc-1838527821
title: Mooring data from the Barents Sea Opening – Atlantic Water inflow

description: Temperature and current time series data from the Barents Sea Opening for the period August 1997 to April 2017. The mooring array were deployed by Institute of Marine Research to monitor the inflow of Atlantic Water to the Barents Sea. The number of moorings deployed and functioning varied over the period, but the general setup was five moorings deployed between 71o30’N and 73o30’N, and along ~20oE, with a mutual distance of about 55 km (BSO1 at 71o30N, BSO2 at 72o00N, BSO3 at 72 o 30’N, BSO4 at 73oN and BSO5 at 73o30’N, see e.g.Ingvaldsen et al., 2004). From August 1999 to March 2002 two additional moorings were included in the mooring array to increase the horizontal resolution to about 25 km (BSO2B at 72o15N and BSO3B at 72o45N). The instrumentation on the moorings was mostly Aanderaa RCM7 and RCM9, and in the later years also Aanderaa Sea Guards. Data were recorded every 20 min. The number of instruments attached to each mooring, varied over the period. From 2005, BSO1 were equipped with a bottom mounted RDI workhorse 75 kHz when deployed. The data files contain raw data without any removal of spikes or filtering. Some files also contain salinity measurements, but no calibration has been conducted and no attempt has been made to correct the trend apparent in some of the salinity measurements. Ingvaldsen, R. B., L. Asplin, and H. Loeng (2004), Velocity field of the western entrance to the Barents Sea, J. Geophys. Res., 109, C03021, doi:10.1029/2003JC001811.
DOI: 10.26050/wdcc/gcos_ehi_1960-2020_iwhc
title: GCOS EHI 1960-2020 Inland Water Heat Content

description: Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Inland_Water_Heat_Content_data.nc” presents an updated estimate of the global heat storage within natural lakes and artificial reservoirs for the period 1960-2020. Several improvements have been implemented in comparison with Vanderkelen et al. (2020): new approach to estimate lake volume, new lake models considered, and an extension of the analysis period. The data are used in von Schuckmann et al. (2022).
DOI: 10.35090/gatech/70342
title: Meridional Overturning Circulation Observed by the Overturning in the Subpolar North Atlantic Program (OSNAP) Array from August 2014 to June 2020
DOI: 10.24381/cds.239d815c
title: Aerosol properties gridded data from 1995 to present derived from satellite observations
DOI: 10.25318/1110024101-eng
title:  Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars

description: Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.
DOI: 10.5066/p13terwp
title: Dataset Supporting the Manuscript: Debris avalanches in the northern California Coast Range triggered by plate boundary earthquakes

description: This dataset contains the raw data supporting the Bulletin of the Seismological Society of America article 'Debris avalanches in the northern California Coast Range triggered by plate boundary earthquakes.' It includes radiocarbon dating results from sampled tree rings for dendrochronology, landslide volume tables, and tree and scarp displacement measurements of Mule slide.
DOI: 10.5281/zenodo.10117609
title: Multi-modal phantom experiments, mimicking flow through the mitral heart valve

description: In this repository all experimental data obtained from a phantom study on the left heart, including a deformable mitral valve, is reported. Using invasive catheter pressure measurements, magnetic resonance imaging and ultrasound imaging, several parameters relevant to diagnosing heart valve disease were measured on the phantom. The data is reported in MS excel files (xlsx format) and the geometry of the phantom is reported in STL and STEP file format, together with an exploded view, indicating how the parts are put together.
DOI: 10.5281/zenodo.11108195
title: Global Dataset of Cyber Incidents V.1.2

description: The dataset contains data on 2889 cyber incidents between 01.01.2000 and 02.05.2024 using 60 variables, including the start date, names and categories of receivers along with names and categories of initiators. The database was compiled as part of the European Repository of Cyber Incidents (EuRepoC) project.

EuRepoC gathers, codes, and analyses publicly available information from over 200 sources and 600 Twitter accounts daily to report on dynamic trends in the global, and particularly the European, cyber threat environment.For more information on the scope and data collection methodology see: https://eurepoc.eu/methodologyCodebook available hereInformation about each file:

Global Database (csv or xlsx):This file includes all variables coded for each incident, organised such that one row corresponds to one incident - our main unit of investigation. Where multiple codes are present for a single variable for a single incident, these are separated with semi-colons within the same cell.

Receiver Dataset (csv):In this file, the data of affected entities and individuals (receivers) is restructured to facilitate analysis. Each cell contains only a single code, with the data "unpacked" across multiple rows. Thus, a single incident can span several rows, identifiable through the unique identifier assigned to each incident (incident_id). 

Attribution Dataset (csv):This file follows a similar approach to the receiver dataset. The attribution data is "unpacked" over several rows, allowing each cell to contain only one code. Here too, a single incident may occupy several rows, with the unique identifier enabling easy tracking of each incident (incident_id). In addition, some attributions may also have multiple possible codes for one variable, these are also "unpacked" over several rows, with the attribution_id enabling to track each attribution.eurepoc_global_database_1.2 (json):This file contains the whole database in JSON format.
DOI: 10.5281/zenodo.13981062
title: scRNA-seq of KPC mice

description: This is processed and zipped data from GSE129455. Users can use the "readRDS(file = filename)" function in the R programming language to access it.
DOI: 10.5281/zenodo.13992108
title: Publication data: Bayesian optimization for state engineering of quantum gases
DOI: 10.5281/zenodo.2525682
title: Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

description: Coarse fragments % (volumetric) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Based on machine learning predictions from global compilation of soil profiles and samples. Processing steps are described in detail <strong>here</strong>. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, coarsefrag.vfraction = variable: coarse fragments volumetric fraction, usda.3b1 = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,
description: {"references": ["Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."]}
DOI: 10.6084/m9.figshare.22689667
title: Geocoded database of health facilities with verified capacity for caesarean section in urban Nigeria

description: A geocoded list of facilities from both public and non-public sectors capable of providing comprehensive emergency obstetric care (EmOC) for 15 selected urban conurbations in Nigeria ( Aba, Abuja, Benin City, Ibadan, Ilorin, Jos, Kaduna, Kano, Lagos, Maiduguri, Onitsha, Owerri, Port Harcourt, Uyo, and Warri ). We proxied and defined the availability of comprehensive EmOC services as any health facility that can offer caesarean section (CS) services