cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mertkm
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Spermophilus citellus"
 ]
}

 The dataset includes 180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002717-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18327482
title: InnWater visitors LinkedIn statistics

description: LinkedIn posts analysis
DOI: 10.5281/zenodo.18327481
title: InnWater visitors LinkedIn statistics

description: LinkedIn posts analysis
DOI: 10.5281/zenodo.18328355
title: Purification and recovery of polyphenols from concentrated citrus wastewater by adsorption/desorption process

description: Dataset related to the publication "Purification and recovery of polyphenols from concentrated citrus wastewater by adsorption/desorption process" published in Applied Water Science, https://doi.org/10.1007/s13201-025-02674-0

 

ABSTRACT

The citrus processing industry generates enormous amounts of wastes: solid residues from orange juice production process and mandarin wastewater from canned mandarin segments processing. These wastes are notably rich in high addedvalue bioactive compounds, such as polyphenols. Previous studies have explored extraction and concentration methods to recover and concentrate polyphenols from citrus waste. However, the high concentration of other compounds such as sugars and pectins in orange and mandarin concentrates, has prompted further studies on polyphenol purification using an adsorption/desorption process. The MN200 non-ionic resin was selected. First, different resin dosages were tested to recover polyphenols from model solutions simulating orange and mandarin wastewater. The best results were obtained with the resin concentration range of 20–30 g·L−1 . The equilibrium data fitted well the Temkin isotherm, while the adsorption kinetics were best described by the pseudo-second-order model. Secondly, polyphenol purification was performed from real mandarin and orange concentrate solutions. Polyphenols, sugars and pectin recoveries were 81.9%, 5.4% and 3.5%, respectively, for mandarin solution; and 64.5%, 3.6% and 2.9%, respectively, for orange solution, at a resin concentration of 20 g·L−1. Hence, the solution obtained after the adsorption step could be used as a pectin concentrate with a great potential in the food industry. On the other hand, the solution obtained after desorption, enriched in polyphenols, could have a potential application in the pharmaceutical and cosmetic industries.

 

ABBREVIATIONS FOR DATASET

Model solution Dataset:

Mandarin_M.S._Adsorp. : Adsorption test with model solution of mandarin wastewater from the processing of canned mandarin segmentsMandarin_M.S._Desorp. : Desorption test with model solution of mandarin wastewater from the processing of canned mandarin segmentsOrange_M.S._Adsorp. : Adsorption test with model solution of orange peel waste extractOrange_M.S._Desorp.: Desorption test with model solution of orange peel waste extract

Real solution Dataset:

Mandarin_W.W._Adsorp. : Adsorption test with mandarin wastewater from the processing of canned mandarin segmentsMandarin_W.W._Desorp. : Desorption test with mandarin wastewater from the processing of canned mandarin segmentsOrange_P.W._Adsorp. : Adsorption test with orange peel waste extractOrange_P.W._Desorp. : Desorption test with orange peel waste extract
DOI: 10.5281/zenodo.18311405
title: When the Codec Hallucinates: User Perceptions of Miscompressed Images - Userstudy Dataset

description: For better reproducibility we provide both the dataset of images used for the study and the detailed responses of the survey.

image_dataset.csv

Provides detailed information for every image used in the study. Refer to Figure 4 in the paper for an overview, each box in the figure reflects one row in this table.

Columns



ID Unique identifier for each image sample, consists of [version|name|group]



version:



J - JPEG-compressed

N - Neural-compressed

M - Miscompressed

U - Uncompressed



name: Five first digits of image name

group: Subject group that saw the image. [1...4], or 0 if all groups saw the image ("anchor image")



ORIGNAME: Full name of the scene (original image)

CROP: Size of the crop in pixels (quadratic)

GROUP: Subject group that saw the image.  [1...4], or 0 if all groups saw the image ("anchor image")

ORDER: Position in the instrument [1...12]

UNCOMP: "1" if the image is uncompressed

JPEG: "1" if the image isas JPEG

JPEGQ: JPEG quality factor for JPEG compressed images

NC: "1" if the image is neurally compressed

NCQ: Compression codec for neurally compressed images

MISCOMP: "1" if the image contains a miscompression


 

survey_responses.csv

For the corresponding questions please refer to Appendix B.2 of the paper. Columns represent questions in chronological order, followed by timings.

Columns



DEM- age, sex D1 - D3: demographic questions

[version|name|group|question]: Image comparison



version:



J - JPEG-compressed

N - Neural-compressed

M - Miscompressed

U - Uncompressed



name: Five first digits of image name

group: Subject group that saw the image [1...4], or 0 if all groups saw the image ("anchor image")

question:



dif - S1: difference

mis - S2: misunderstandings [1...6], 1 = "certainly"

mod - S3(1): intentional editing [1...6], 1 = "certainly"

com - S3(2): uncontrolled distortion [1...6], 1 = "certainly"





THE* C1(1 - 8): Theoretical knowledge

PRA* C2(1 - 8): Practical experience

VER* C3(1 - 6): Verification practices

EXP* C4(1 - 2): Experience with image distribution

interviewtime: Time to complete the whole survey [s]

age, group, vis -Time: Demographics Time [s]

[version|name|group|question] -Time: Image comparison time [s]



...

question: 



dif

mis

modcom: mod and com together since on same display





the, pra, ver, exp -Time: Control variable's time [s]
DOI: 10.5281/zenodo.18328354
title: Purification and recovery of polyphenols from concentrated citrus wastewater by adsorption/desorption process

description: Dataset related to the publication "Purification and recovery of polyphenols from concentrated citrus wastewater by adsorption/desorption process" published in Applied Water Science, https://doi.org/10.1007/s13201-025-02674-0

 

ABSTRACT

The citrus processing industry generates enormous amounts of wastes: solid residues from orange juice production process and mandarin wastewater from canned mandarin segments processing. These wastes are notably rich in high addedvalue bioactive compounds, such as polyphenols. Previous studies have explored extraction and concentration methods to recover and concentrate polyphenols from citrus waste. However, the high concentration of other compounds such as sugars and pectins in orange and mandarin concentrates, has prompted further studies on polyphenol purification using an adsorption/desorption process. The MN200 non-ionic resin was selected. First, different resin dosages were tested to recover polyphenols from model solutions simulating orange and mandarin wastewater. The best results were obtained with the resin concentration range of 20–30 g·L−1 . The equilibrium data fitted well the Temkin isotherm, while the adsorption kinetics were best described by the pseudo-second-order model. Secondly, polyphenol purification was performed from real mandarin and orange concentrate solutions. Polyphenols, sugars and pectin recoveries were 81.9%, 5.4% and 3.5%, respectively, for mandarin solution; and 64.5%, 3.6% and 2.9%, respectively, for orange solution, at a resin concentration of 20 g·L−1. Hence, the solution obtained after the adsorption step could be used as a pectin concentrate with a great potential in the food industry. On the other hand, the solution obtained after desorption, enriched in polyphenols, could have a potential application in the pharmaceutical and cosmetic industries.

 

ABBREVIATIONS FOR DATASET

Model solution Dataset:

Mandarin_M.S._Adsorp. : Adsorption test with model solution of mandarin wastewater from the processing of canned mandarin segmentsMandarin_M.S._Desorp. : Desorption test with model solution of mandarin wastewater from the processing of canned mandarin segmentsOrange_M.S._Adsorp. : Adsorption test with model solution of orange peel waste extractOrange_M.S._Desorp.: Desorption test with model solution of orange peel waste extract

Real solution Dataset:

Mandarin_W.W._Adsorp. : Adsorption test with mandarin wastewater from the processing of canned mandarin segmentsMandarin_W.W._Desorp. : Desorption test with mandarin wastewater from the processing of canned mandarin segmentsOrange_P.W._Adsorp. : Adsorption test with orange peel waste extractOrange_P.W._Desorp. : Desorption test with orange peel waste extract
DOI: 10.5281/zenodo.18311404
title: When the Codec Hallucinates: User Perceptions of Miscompressed Images - Userstudy Dataset

description: For better reproducibility we provide both the dataset of images used for the study and the detailed responses of the survey.

image_dataset.csv

Provides detailed information for every image used in the study. Refer to Figure 4 in the paper for an overview, each box in the figure reflects one row in this table.

Columns



ID Unique identifier for each image sample, consists of [version|name|group]



version:



J - JPEG-compressed

N - Neural-compressed

M - Miscompressed

U - Uncompressed



name: Five first digits of image name

group: Subject group that saw the image. [1...4], or 0 if all groups saw the image ("anchor image")



ORIGNAME: Full name of the scene (original image)

CROP: Size of the crop in pixels (quadratic)

GROUP: Subject group that saw the image.  [1...4], or 0 if all groups saw the image ("anchor image")

ORDER: Position in the instrument [1...12]

UNCOMP: "1" if the image is uncompressed

JPEG: "1" if the image isas JPEG

JPEGQ: JPEG quality factor for JPEG compressed images

NC: "1" if the image is neurally compressed

NCQ: Compression codec for neurally compressed images

MISCOMP: "1" if the image contains a miscompression


 

survey_responses.csv

For the corresponding questions please refer to Appendix B.2 of the paper. Columns represent questions in chronological order, followed by timings.

Columns



DEM- age, sex D1 - D3: demographic questions

[version|name|group|question]: Image comparison



version:



J - JPEG-compressed

N - Neural-compressed

M - Miscompressed

U - Uncompressed



name: Five first digits of image name

group: Subject group that saw the image [1...4], or 0 if all groups saw the image ("anchor image")

question:



dif - S1: difference

mis - S2: misunderstandings [1...6], 1 = "certainly"

mod - S3(1): intentional editing [1...6], 1 = "certainly"

com - S3(2): uncontrolled distortion [1...6], 1 = "certainly"





THE* C1(1 - 8): Theoretical knowledge

PRA* C2(1 - 8): Practical experience

VER* C3(1 - 6): Verification practices

EXP* C4(1 - 2): Experience with image distribution

interviewtime: Time to complete the whole survey [s]

age, group, vis -Time: Demographics Time [s]

[version|name|group|question] -Time: Image comparison time [s]



...

question: 



dif

mis

modcom: mod and com together since on same display





the, pra, ver, exp -Time: Control variable's time [s]
DOI: 10.15468/dl.rxubxf
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies procera)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1261 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002718-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18328373
title: High-resolution characterisation of diel rhythms in mosquito vectors: advancing vector ecology and control

description: Dataset of the project: High-resolution characterisation of diel rhythms in mosquito vectors: advancing vector ecology and control
DOI: 10.5281/zenodo.18328374
title: High-resolution characterisation of diel rhythms in mosquito vectors: advancing vector ecology and control

description: Dataset of the project: High-resolution characterisation of diel rhythms in mosquito vectors: advancing vector ecology and control
DOI: 10.3929/ethz-b-000676084
title: Student Trajectories within the XLogoMini environment
DOI: 10.5880/digis.e.2025.003
title: Compilation of global Archean and Paleoproterozoic sanukitoid geochemical data

description: Sanukitoids, also referred to as high-Mg diorites, are a distinctive type of igneous rock from the late Archean-early Proterozoic, and are characterised by enrichment in both compatible elements (e.g. Mg, Ni, Cr) and incompatible elements (e.g. Ba, Sr, light rare earth elements). Their geochemistry is typically interpreted as recording petrogenesis of their parental magmas via interaction between mantle peridotite and recycled crust-derived component (e.g. metabasite melts, sediment melts, aqueous fluids), and is often considered to be "transitional" between that of Archean sodic tonalite-trondhjemite-granodiorite (TTG) suites and post-Archean potassic granites. 
 
This dataset presents a global compilation of all Archean-Paleoproterozoic rocks that have been described as "sanukitoid" in published literature, and consists of over 3600 individual samples. Whole rock major and trace element concentrations, radiogenic isotope compositions and stable isotope compositions are compiled in the dataset alongside reported magmatic ages of the samples. The dataset is provided both as an Excel workbook divided by craton (file: 2025-003_Spencer-et-al_Sanukitoid-Compilation.xlsx) and as a single CSV file (file: 2025-003_Spencer-et-al_Sanukitoid-Compilation.csv). 
 
Sanukitoid magmatism has been described on almost every Archean craton globally. Most reported sanukitoid magmatism occurred during the late Mesoarchean-Neoarchean (2.95 - 2.5 Ga), with another peak in sanukitoid magmatism in the mid-Paleoproterozoic (2.2 - 2.0 Ga). Older sanukitoid occurrences dating back to the Paleoarchean (&gt;3.2 Ga) are also described in the literature.
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ Helmholtz Centre for Geosciences. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data that fall within the scope of the GEOROC database. Compilations of previously published data are also made available on the GEOROC website (https://georoc.eu) as Expert Datasets.
DOI: 10.15468/sgk2mz
title: Historical biogeographic assessment of rocky intertidal species along the northern Iberian Peninsula by Fischer-Piette

description: The dataset consists of records of macrospecies occurrences (presence/absence) and ecological notes derived from a historical paper by Édouard Fischer-Piette. This information was extracted from a prose-structured scientific article written in French and resulted in 3417 entries.
DOI: 10.15468/dl.mqfe36
title: Occurrence Download

description: A dataset containing 11137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Culiseta annulata"
 ]
}

 The dataset includes 11137 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002721-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5herg4
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Amphibia [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL.30.27_2)"
 ]
 }
 ]
}

 The dataset includes 81 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002722-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18297456
title: Dimensionless Fan quantity kind definitions

description: This Turtle (.ttl) ontology extends the QUDT (Quantities, Units, Dimensions, and Types) vocabulary with specialized QuantityKinds for fan performance analysis, addressing gaps in the core ontology. Fan engineering requires dimensionless quantities like the fan pressure coefficient or fan flow coefficient, which lack dedicated IRIs in standard QUDT distributions.
DOI: 10.5281/zenodo.18297457
title: Dimensionless Fan quantity kind definitions

description: This Turtle (.ttl) ontology extends the QUDT (Quantities, Units, Dimensions, and Types) vocabulary with specialized QuantityKinds for fan performance analysis, addressing gaps in the core ontology. Fan engineering requires dimensionless quantities like the fan pressure coefficient or fan flow coefficient, which lack dedicated IRIs in standard QUDT distributions.
DOI: 10.5880/digis.2025.009
title: Titanium stable isotope compositions of Neoarchean tonalite-trondhjemite-granodiorite (TTG) suites from the Eastern Goldfields Superterrane, Yilgarn Craton

description: We report the titanium (Ti) stable isotope compositions (δ49Ti) of Neoarchean (ca. 2700-2650 Ma) tonalite-trondhjemite-granodiorite (TTG) suites from the Eastern Goldfields Superterrane, Yilgarn Craton. Samples were selected to cover the full range of trace element compositions exhibited by TTGs, and are primarily from the Kalgoorlie-Kambalda region of the Kalgoorlie Terrane. Ti stable isotope compositions were measured using multicollector inductively coupled plasma mass spectrometry (MC-ICP-MS) at the Cardiff Earth Laboratory for Trace Element and Isotope Chemistry (CELTIC), Cardiff University. The Ti isotope compositions of these samples (file: 2025-009_Spencer-et-al_Ti-Isotope-Data.xlsx) are presented alongside a compilation of their major and trace element concentrations (file: 2025-009_Spencer-et-al_Compiled-Isotope-Major-Trace-Element-Data.xlsx) taken from the Western Australian Geochemistry Database (WACHEM). Most TTG samples have δ49Ti values between 0.2 to 0.6‰ that increase with SiO2 content, while two highly evolved TTGs have δ49Ti &gt; 1‰. At SiO2 ≈ 70 wt% the different TTG geochemical groups display distinct Ti isotope compositions.
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data in standardised form (EarthChem Team, 2022, https://doi.org/10.26022/IEDA/112263) that fall within the scope of the GEOROC database (https://georoc.eu). All submissions of new data will be considered for inclusion in the GEOROC database. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ Helmholtz Centre for Geosciences.
DOI: 10.57780/bio-ba993b8
title: Biomass Level 1C

description: Biomass Level 1C
DOI: 10.15468/dl.yh39w4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.895 1.669182, 98.824708 1.663614, 98.756147 1.647047, 98.691007 1.619888, 98.630893 1.582809, 98.577286 1.536721, 98.531504 1.48276, 98.494676 1.422255, 98.467707 1.356697, 98.451261 1.287699, 98.445742 1.216962, 98.451284 1.146227, 98.46775100000001 1.077235, 98.494736 1.011685, 98.531575 0.951191, 98.577361 0.897241, 98.630965 0.851164, 98.691068 0.814095, 98.756191 0.786945, 98.824731 0.770383, 98.895 0.764817, 98.96526900000001 0.770383, 99.03380900000001 0.786945, 99.098932 0.814095, 99.159035 0.851164, 99.212639 0.897241, 99.258425 0.951191, 99.295264 1.011685, 99.322249 1.077235, 99.33871600000001 1.146227, 99.344258 1.216962, 99.338739 1.287699, 99.322293 1.356697, 99.29532399999999 1.422255, 99.25849599999999 1.48276, 99.21271400000001 1.536721, 99.15910700000001 1.582809, 99.09899299999999 1.619888, 99.03385299999999 1.647047, 98.96529200000001 1.663614, 98.895 1.669182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002723-260120142942310/datasets/export for details.
DOI: 10.5880/digis.e.2025.004
title: Compilation of global Archean high-Sr tonalite-trondhjemite-granodiorite (TTG) geochemical data

description: Tonalite-trondhjemite-granodiorite (TTG) suites are the main constituent of Archean (4-2.5 Ga) continental crust. High-Sr TTGs are a subgroup of "high-pressure" TTGs characterised by very high Sr concentrations (&gt;500 ppm, but often &gt;700 ppm) and Sr/Y (&gt;100), in addition to K2O/N2O&lt;0.5, Yb&lt;0.4 ppm and La/Yb&gt;60 at SiO2≈70 wt%. High-Sr TTGs may have formed via fractional crystallisation of metasomatised mantle-derived sanukitoid magmas, in contrast to the dominant petrogenetic model for "high-pressure" TTGs involving metabasite partial melting at pressures &gt;2 GPa. This dataset presents a compilation of global high-Sr TTG occurrences identified from published literature, and contains their compiled major and trace element and Nd isotope compositions.
description: The DIGIS geochemical data repository is a research data repository in the Earth Sciences domain with a specific focus on geochemical data. It is hosted at GFZ Data Services through a collaboration between the Digital Geochemical Data Infrastructure (DIGIS) for GEOROC 2.0 (https://digis.geo.uni-goettingen.de) and the GFZ Helmholtz Centre for Geosciences. The repository archives, publishes and makes accessible user-contributed, peer-reviewed research data that fall within the scope of the GEOROC database. Compilations of previously published data are also made available on the GEOROC website (https://georoc.eu) as Expert Datasets.
DOI: 10.15468/dl.twp6uy
title: Occurrence Download

description: A dataset containing 295528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.42585 23.26458,84.80579 23.26458,84.80579 72.79062,-17.42585 72.79062,-17.42585 23.26458))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fraxinus excelsior",
 "Year 2017-2026"
 ]
}

 The dataset includes 295528 records from 1765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002687-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.