cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14884254
title: Dheed : a global database of dry and hot extreme events

description: Method

Hot and dry extreme events are detected using ECMWF climate reanalysis (ERA5) hourly data. Hot conditions are assessed through daily maximum 2m temperature (Tmax). Dry conditions are assessed through daily differences between total precipitation and evapotranspiration averaged over the preceding 30, 90 and 180 days (PEI_30, PEI_90, PEI_180). Conditions at a specific location (spatial grid cell) are considered extreme when Tmax is greater than the 99th percentile and a drought indicator is less than the 1st percentile of their respective distributions over time for that specific spatial grid cell. These Discrete Extreme Occurrences (DEO) are stored in the EventCube. Through a connected component analysis, connected DEOs are assigned unique labels when they are contiguous in space or time. These labels are stored in the labelcube. Summary statistcs for all uniquely labelled extreme events are stored in table EventStats. 

For a graphical overview of the method, see the workflow.

Limitations



Heatwaves and drought conditions are assessed on the empirical cumulative distribution functions of the full time series, that is,



there is no reference period

there is a unique threshold for all days (no seasonality)



Compound hot and dry conditions are assessed from the univariate temporal distribution of temperature and drought indicators. Multivariate distributions are not considered.


Changes in Dheed 3.0



The analysis includes year 2022.

Data from ERA5 preliminary back-extension from 1950 to 1978 was updated to ERA5 final product for those years.

A minumum duration of three consecutive days is set for heatwaves.


Changes in Dheed 4.0



The analysis includes year 2023.

Data from ERA5 has been completely reprocessed. An error in the processing of the ERA5 data introduced a monthly bias in previous versions. These should not be used.
DOI: 10.5281/zenodo.11044871
title: Dheed : a global database of dry and hot extreme events

description: Method

Hot and dry extreme events are detected using ECMWF climate reanalysis (ERA5) hourly data. Hot conditions are assessed through daily maximum 2m temperature (Tmax). Dry conditions are assessed through daily differences between total precipitation and evapotranspiration averaged over the preceding 30, 90 and 180 days (PEI_30, PEI_90, PEI_180). Conditions at a specific location (spatial grid cell) are considered extreme when Tmax is greater than the 99th percentile and a drought indicator is less than the 1st percentile of their respective distributions over time for that specific spatial grid cell. These Discrete Extreme Occurrences (DEO) are stored in the EventCube. Through a connected component analysis, connected DEOs are assigned unique labels when they are contiguous in space or time. These labels are stored in the labelcube. Summary statistcs for all uniquely labelled extreme events are stored in table EventStats. 

For a graphical overview of the method, see the workflow.

Limitations



Heatwaves and drought conditions are assessed on the empirical cumulative distribution functions of the full time series, that is,



there is no reference period

there is a unique threshold for all days (no seasonality)



Compound hot and dry conditions are assessed from the univariate temporal distribution of temperature and drought indicators. Multivariate distributions are not considered.


Changes in Dheed 3.0



The analysis includes year 2022.

Data from ERA5 preliminary back-extension from 1950 to 1978 was updated to ERA5 final product for those years.

A minumum duration of three consecutive days is set for heatwaves.


Changes in Dheed 4.0



The analysis includes year 2023.

Data from ERA5 has been completely reprocessed. An error in the processing of the ERA5 data introduced a monthly bias in previous versions. These should not be used.
DOI: 10.15468/dl.yxrsu3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campsurus lucidus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031988-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17730129
title: Table 4 - 7 Birds species observed during 2013 in Additional Assessment Report - Crucea North Wind Farm 99 MW

description: Table 4-7 Birds species observed during 2013 spring surveys
No.SpeciesScientific nameTotal number1Corn BuntingMiliaria calandra672SkylarkAlauda arvensis773Calandra LarkMelanocorypha calandra2124Red Legged BuzzardFalco vespertinus15Yellow wagtailMotacilla flava636Tawny pipitAnthus campestris327BuzzardButeo buteo218Common StarlingSturnus vulgaris339QuailCoturnix coturnix1110White wagtailMotacilla alba511RookCorvus frugilegus5912Tree sparrowPasser montanus1013StonechatSaxicola torquatus514GoldfinchCarduelis carduelis715RobinErithacus rubecula116MagpiePica pica417Common kestrelFalco tinnunculus3218WheatearOenanthe oenanthe5919Pallid HarrierCircus macrourus520Barn swallowHirundo rustica7021HoopooUpupa epops2422Grey partridgePerdix perdix423Long Legged BuzzardButeo rufinus824Short-toed LarkCalandrella brachydactyla3825Ortolan BuntingEmberiza hortulana126WhinchatSaxicola rubetra127RollerCoracias garrulus2328Lesser Grey ShrikeLanius minor729Marsh HarrierCircus aeruginosus730Red-backed ShrikeLanius collurio331Bee-eaterMerops apiaster1732Hooded CrowCorvus cornix333Booted EagleAquila pennata234Black KiteMilvus migrans135HobbyFalco subbuteo236PheasantPhasianus colchicus137Song ThrushTurdus philomelos338ChaffinchFringilla coelebs439White StorkCiconia ciconia340JackdawCorvus monedula241Caspian GullLarus cachinnans142House MartinDelichon urbicum1Total930
description: Published as part of Temesvary, Peter, Heinz, Dr. Walter & Gundert, Martin, 2013, Additional Assessment Report - Crucea North Wind Farm 99 MW in null, Constanta County, Romania :European Bank for Reconstruction and Development (EBRD) on page 28, DOI: 10.5281/zenodo.17263512
DOI: 10.5281/zenodo.17730128
title: Table 4 - 7 Birds species observed during 2013 in Additional Assessment Report - Crucea North Wind Farm 99 MW

description: Table 4-7 Birds species observed during 2013 spring surveys
No.SpeciesScientific nameTotal number1Corn BuntingMiliaria calandra672SkylarkAlauda arvensis773Calandra LarkMelanocorypha calandra2124Red Legged BuzzardFalco vespertinus15Yellow wagtailMotacilla flava636Tawny pipitAnthus campestris327BuzzardButeo buteo218Common StarlingSturnus vulgaris339QuailCoturnix coturnix1110White wagtailMotacilla alba511RookCorvus frugilegus5912Tree sparrowPasser montanus1013StonechatSaxicola torquatus514GoldfinchCarduelis carduelis715RobinErithacus rubecula116MagpiePica pica417Common kestrelFalco tinnunculus3218WheatearOenanthe oenanthe5919Pallid HarrierCircus macrourus520Barn swallowHirundo rustica7021HoopooUpupa epops2422Grey partridgePerdix perdix423Long Legged BuzzardButeo rufinus824Short-toed LarkCalandrella brachydactyla3825Ortolan BuntingEmberiza hortulana126WhinchatSaxicola rubetra127RollerCoracias garrulus2328Lesser Grey ShrikeLanius minor729Marsh HarrierCircus aeruginosus730Red-backed ShrikeLanius collurio331Bee-eaterMerops apiaster1732Hooded CrowCorvus cornix333Booted EagleAquila pennata234Black KiteMilvus migrans135HobbyFalco subbuteo236PheasantPhasianus colchicus137Song ThrushTurdus philomelos338ChaffinchFringilla coelebs439White StorkCiconia ciconia340JackdawCorvus monedula241Caspian GullLarus cachinnans142House MartinDelichon urbicum1Total930
description: Published as part of Temesvary, Peter, Heinz, Dr. Walter & Gundert, Martin, 2013, Additional Assessment Report - Crucea North Wind Farm 99 MW in null, Constanta County, Romania :European Bank for Reconstruction and Development (EBRD) on page 28, DOI: 10.5281/zenodo.17263512
DOI: 10.5281/zenodo.17730130
title: Table 4 - 8 Birds species observed during 2013 in Additional Assessment Report - Crucea North Wind Farm 99 MW

description: Table 4-8 Birds species observed during 2013 breeding birds surveys
No.SpeciesScientific nameTotal number1Corn BuntingMiliaria calandra182SkylarkAlauda arvensis683Calandra LarkMelanocorypha calandra904Yellow wagtailMotacilla flava325Tawny pipitAnthus campestris246BuzzardButeo buteo17Common StarlingSturnus vulgaris3668QuailCoturnix coturnix169RookCorvus frugilegus610Tree sparrowPasser montanus4111GoldfinchCarduelis carduelis312MagpiePica pica1613Common kestrelFalco tinnunculus2514WheatearOenanthe oenanthe5815Barn swallowHirundo rustica5416HoopooUpupa epops417Grey partridgePerdix perdix618Long Legged BuzzardButeo rufinus619Short-toed LarkCalandrella brachydactyla420RollerCoracias garrulus1921Lesser Grey ShrikeLanius minor1022Bee-eaterMerops apiaster4323Hooded CrowCorvus cornix1424Booted EagleAquila pennata125Black KiteMilvus migrans126White StorkCiconia ciconia127Crested LarkGalerida cristata2Total929
description: Published as part of Temesvary, Peter, Heinz, Dr. Walter & Gundert, Martin, 2013, Additional Assessment Report - Crucea North Wind Farm 99 MW in null, Constanta County, Romania :European Bank for Reconstruction and Development (EBRD) on page 30, DOI: 10.5281/zenodo.17263512
DOI: 10.5281/zenodo.17730131
title: Table 4 - 8 Birds species observed during 2013 in Additional Assessment Report - Crucea North Wind Farm 99 MW

description: Table 4-8 Birds species observed during 2013 breeding birds surveys
No.SpeciesScientific nameTotal number1Corn BuntingMiliaria calandra182SkylarkAlauda arvensis683Calandra LarkMelanocorypha calandra904Yellow wagtailMotacilla flava325Tawny pipitAnthus campestris246BuzzardButeo buteo17Common StarlingSturnus vulgaris3668QuailCoturnix coturnix169RookCorvus frugilegus610Tree sparrowPasser montanus4111GoldfinchCarduelis carduelis312MagpiePica pica1613Common kestrelFalco tinnunculus2514WheatearOenanthe oenanthe5815Barn swallowHirundo rustica5416HoopooUpupa epops417Grey partridgePerdix perdix618Long Legged BuzzardButeo rufinus619Short-toed LarkCalandrella brachydactyla420RollerCoracias garrulus1921Lesser Grey ShrikeLanius minor1022Bee-eaterMerops apiaster4323Hooded CrowCorvus cornix1424Booted EagleAquila pennata125Black KiteMilvus migrans126White StorkCiconia ciconia127Crested LarkGalerida cristata2Total929
description: Published as part of Temesvary, Peter, Heinz, Dr. Walter & Gundert, Martin, 2013, Additional Assessment Report - Crucea North Wind Farm 99 MW in null, Constanta County, Romania :European Bank for Reconstruction and Development (EBRD) on page 30, DOI: 10.5281/zenodo.17263512
DOI: 10.25824/redu/goae9d
title: Boron-doped mesoporous carbon applied to remove parabens from water: kinetic, isotherm and mechanism study based on DFT

description: raw data of DE JESUS CHULLUNCUY JULCARIMA, LUCERO ; CAMPAROTTO, NATÁLIA GABRIELE ; FULANETI, GABRIEL HENRIQUE SILVA ; OLIVEIRA, RAFAEL L. ; DE LA CRUZ, ALEX HUAMAN ; PREDIGER, PATRÍCIA . Boron-doped mesoporous carbon applied to remove parabens from water: kinetic, isotherm and mechanism study based on DFT. JOURNAL OF MOLECULAR LIQUIDS, v. 437, p. 128506, 2025.
DOI: 10.18710/fidzxg/dhg74e
title: Ripening_Chemistry.csv

description: Long-format dataset containing biochemical measurements of hard-type goat cheese during ripening, including free amino acids, organic acids, carbohydrates, pH and total solids. Samples originate from four seasons (A–D), four farms (G1–G4), two milk storage times prior to cheesemaking (Y1 and Y3), and multiple ripening times (0, 3, 6, 12 and 18 months).
DOI: 10.18710/fidzxg/oxf2eq
title: Ripening_GCMS.csv

description: Long-format dataset containing volatile compounds measured by ATD-GC-MS in hard-type goat cheese. Data include sample identifiers, season, farm, milk storage time prior to cheesemaking, and ripening time, together with compound signal values (area). The dataset is based on cleaned GC-MS data used for statistical analysis in the associated publication.
DOI: 10.18710/fidzxg/w5jczf
title: Ripening_QDA.csv

description: Long-format dataset containing quantitative descriptive sensory analysis (QDA) data of hard-type goat cheese after 12 months of ripening. The data include sensory attributes related to odour, flavour, taste and texture, evaluated by a trained professional panel (Nofima). All samples originate from cheeses produced in different seasons (A–D) and farms (G1–G4) using milk stored for three days prior to cheesemaking (Y3).
DOI: 10.18710/fidzxg/jbhibu
title: 00_Readme.txt
DOI: 10.18710/fidzxg
title: Replication Data for: The effect of season, somatic cell count and bulk milk storage time on the sensory and chemical characteristics of an aged hard goat milk cheese

description: This dataset contains chemical, physicochemical, and sensory data generated in a study investigating chemical and sensory changes during ripening of a hard-type goat milk cheese. The dataset includes measurements of free amino acids, organic acids, volatile compounds, basic composition (pH, dry matter, fat, protein), and quantitative descriptive sensory analysis (QDA).

Samples were collected from cheeses produced across different production seasons and farms and analysed at multiple ripening times durring 2021-2022. All cheeses were manufactured under standardised cheesemaking conditions.

Each data file contains sample identifiers (SampleID), production season, farm, milk storage time prior to cheesemaking, ripening time, variable name, numerical value, unit, and analytical method.
DOI: 10.34770/meyr-sp82
title: Data for Plasma-Assisted Atomic Layer Etching of Single-Crystal Diamond

description: Applications of near-surface nitrogen-vacancy (NV) centers in diamond are
 often limited by surface defects created during processing, including
 plasma processes such as etching and surface termination. Understanding
 and controlling plasma-induced surface damage is important for preserving
 the optical and spin properties of diamond NV centers. This dataset
 includes results of classical molecular dynamics simulations of a novel
 form of plasma-aided atomic layer etching of diamond thin films. In this
 proposed scheme, the initial surface modification step consists of argon
 ion bombardment to create an amorphous carbon layer at the surface of the
 diamond film. A second ALE step impacts the amorphous carbon layer with O
 between about 1 and 5 eV. Simulations included in this dataset show that
 this energy range will remove the amorphous carbon but will not etch the
 underlying diamond. In addition to the ALE simulations, further
 simulations showing the removal of isolated (100) diamond terraces by
 oxygen bombardment are included. The proposed ALE approach reverses the
 conventional ALE sequence in which the surface modification step is
 usually chemical modification (oxidation in this case), followed by a
 removal step using argon ion impacts. This plasma ALE procedure is
 predicted to create a diamond surface that is atomically flat and defect
 free, as is shown by the simulations contained in this dataset.
DOI: 10.15468/dl.qh8zuy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campsurus latipennis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031990-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5r3qd9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix mielichoferi"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6yg6vktrc2
title: SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture

description: This dataset contains 8987 images of brinjal (eggplant) leaves collected under real-time agricultural field conditions in Sri Lanka. Images were captured with a smartphone camera under natural light, without controlled backgrounds, to reflect realistic field environments across diverse agroclimatic zones. The dataset includes eight classes: Bacterial Blight, Bacterial Leaf Spot, Bacterial Wilt, Cercospora Leaf Spot, Little Leaf, Mosaic Virus, Powdery Mildew and Healthy leaves. All images are stored in JPG format at a consistent resolution and were manually labelled and cross-validated by agricultural pathology experts based on visible disease symptoms. The dataset is created to support research and development in machine learning, deep learning, and computer vision, particularly for brinjal leaf disease detection and precision agriculture applications under real-world conditions. 

Users of this dataset are required to cite the following publications.
George, R., Nishankar, S., Thuseethan, S., Pakeerathan, K., Ragel, R.G., Pavindran, V., 2026. SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture. Scientific Data.
DOI: 10.17632/6yg6vktrc2.1
title: SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture

description: This dataset contains 8987 images of brinjal (eggplant) leaves collected under real-time agricultural field conditions in Sri Lanka. Images were captured with a smartphone camera under natural light, without controlled backgrounds, to reflect realistic field environments across diverse agroclimatic zones. The dataset includes eight classes: Bacterial Blight, Bacterial Leaf Spot, Bacterial Wilt, Cercospora Leaf Spot, Little Leaf, Mosaic Virus, Powdery Mildew and Healthy leaves. All images are stored in JPG format at a consistent resolution and were manually labelled and cross-validated by agricultural pathology experts based on visible disease symptoms. The dataset is created to support research and development in machine learning, deep learning, and computer vision, particularly for brinjal leaf disease detection and precision agriculture applications under real-world conditions. 

Users of this dataset are required to cite the following publications.
George, R., Nishankar, S., Thuseethan, S., Pakeerathan, K., Ragel, R.G., Pavindran, V., 2026. SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture. Scientific Data.
DOI: 10.15468/dl.ykmxk8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bos mutus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031992-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/sodau7
title: The effect of interaction between Lewis and Brönsted acid sites on the tandem transformation of furfural into butyl levulinate. Continuous-flow reactions in monolithic microreactor - raw data

description: Data collected for the publication entitled: “The effect of interaction between Lewis and Brönsted acid sites on the tandem transformation of furfural into butyl levulinate. Continuous-flow reactions in monolithic microreactor”.All samples are in *csv format.Files:ASAPData obtained from nitrogen absorption and desorption measurements.TGData from thermogravimetric measurements GC ResultsSignals from GC chromatograph. Results from catalytic experiments
DOI: 10.17632/x6w742gkgs
title: paper data

description: soil properties in different altitudes and soil depths
DOI: 10.17632/x6w742gkgs.1
title: paper data

description: soil properties in different altitudes and soil depths
DOI: 10.17632/wzd6j2pd4v
title: Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction

description: This dataset contains the complete Supporting Information for the study 
“Thermodynamic and Economic Assessment of a Liquid Nitrogen Precooling Dual-Pressure Claude Cycle for Hydrogen Liquefaction.”

The files include all raw numerical tables, simulation outputs, and economic assumptions used in the thermodynamic decomposition, cycle-level performance evaluation, and techno-economic analysis (TEA). The dataset is organized as follows:

1. Thermodynamic performance decomposition 
 • Table S1(a): Enthalpy-load distribution, refrigeration-duty allocation, and key performance indicators (SEC, power, turbine recovery). 
 • Table S1(b): Full HYSYS stream summary (temperature, pressure, flow rates, and heat duties for all process streams).

2. Process-flow documentation 
 • Figure S1: Detailed process flow diagram of the LN2-precooled dual-pressure Claude cycle for large-scale hydrogen liquefaction.

3. Techno-economic assumptions 
 • Table S2: Cost categories and baseline TEA assumptions (capital depreciation, power consumption, maintenance, labor, and miscellaneous operating costs). 
 • Table S3: Financial and operational parameters, including capital cost, plant lifetime, production scale, electricity/LN2 prices, discount rate, and depreciation method.

4. Parametric and sensitivity analyses 
 • Table S4: Influence of LN2 mass-flow rate on refrigeration-load distribution, cold-box pressure drops, and temperature-profile uniformity. 
 • Table S5: Effect of pressure-level distribution on cycle performance at fixed LN2 precooling conditions.

5. Uncertainty quantification (Monte Carlo simulations) 
 • Table S6: Regional liquid hydrogen production cost under uncertainties in electricity prices, LN2 prices, SEC variation, foreign-exchange rate, and transport/tax factors (China, United States, European Union; N=100,000). 
 • Table S7: Parametric LH2 cost sensitivity under region-specific electricity and LN2 price scenarios.