cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s32726
title: Occurrence Download

description: A dataset containing 8680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Chrysococcyx cupreus (Shaw, 1792))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 8680 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004011-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11617256
title: Plasma levels of GFAP and NFL in patients with chronic migraine

description: Dataset associated to the paper "Plasma levels of GFAP and NFL in patients with chronic migraine" These data cannot be made publicly available as including sensitive information, but can be made available upon reasonable request of interested researchers to the Corresponding Author that will forward a data transfer agreement request to the relevant Ethics Committee. Requests can be addressed to Dr. Alberto Doretti (a.doretti@auxologico.it).
DOI: 10.5281/zenodo.11617257
title: Plasma levels of GFAP and NFL in patients with chronic migraine

description: Dataset associated to the paper "Plasma levels of GFAP and NFL in patients with chronic migraine" These data cannot be made publicly available as including sensitive information, but can be made available upon reasonable request of interested researchers to the Corresponding Author that will forward a data transfer agreement request to the relevant Ethics Committee. Requests can be addressed to Dr. Alberto Doretti (a.doretti@auxologico.it).
DOI: 10.25592/uhhfdm.11310
title: X-Ray Fluorescence and Reflectography Data from Munich, Bayerisches Hauptstaatsarchiv (München) Emmeran charters

description: XRF (Elio: 40kV, 80 µA, spot measurements of 120s each) and  reflectography (DinoLite: x50 magnification, vis, NIR and UV light) analysis of inks from 37 Emmeran charters kept at the Bayerisches Hauptstaatsarchiv (München) (9th-12th century CE).


 Emmeran charters_reflectography.zip - complete reflectography dataset
 Emmeran charters_XRF.zip - complete XRF dataset
 Messpunkte Emmeram.docx - list of spots analysed (in German)
 Protocols Emmeran.pptx - Protocol (part 1/2)
 Protocols Emmeran 2.pptx - Protocol (part 2/2)
 Report_Emmeran Charters.docx - detailed report
description: The research for this dataset was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.11172
title: X-Ray Fluorescence and Reflectography Data from Munich, Bayerisches Hauptstaatsarchiv (München) Emmeran charters

description: XRF (Elio: 40kV, 80 µA, spot measurements of 120s each) and  reflectography (DinoLite: x50 magnification, vis, NIR and UV light) analysis of inks from 37 Emmeran charters kept at the Bayerisches Hauptstaatsarchiv (München) (9th-12th century CE).


 Emmeran charters_reflectography.zip - complete reflectography dataset
 Emmeran charters_XRF.zip - complete XRF dataset
 Messpunkte Emmeram.docx - list of spots analysed (in German)
 Protocols Emmeran.pptx - Protocol (part 1/2)
 Protocols Emmeran 2.pptx - Protocol (part 2/2)
 Report_Emmeran Charters.docx - detailed report
description: The research for this dataset was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.11177
title: X-Ray Fluorescence and Reflectography Data from Würzburg, Staatsarchiv Würzburg Domkapitel / Hochstift Würzburg charters

description: XRF (Elio: 40kV, 80 µA, spot measurements of 90s each) and  reflectography (DinoLite: x50 magnification, vis, NIR and UV light) analysis of inks from 45 Domkapitel and Hochstift Würzburg charters kept at the Staatsarchiv Würzburg (9th-12th century CE).


 Messpunkte Würzburg, Gruppen etc.docx - list of spots analysed (in German)
 Protocols_Würzburg_1.pptx - Protocol (part 1/4)
 Protocols_Würzburg_2.pptx - Protocol (part 2/4)
 Protocols_Würzburg_3.pptx - Protocol (part 3/4)
 Protocols_Würzburg_4.pptx - Protocol (part 4/4)
 Report_UrkundenWürzburg.docx - detailed report
 Würzburg charters_reflectography.zip - complete reflectography dataset
 Würzburg charters_XRF.zip - complete XRF dataset
description: The research for this dataset was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.11176
title: X-Ray Fluorescence and Reflectography Data from Würzburg, Staatsarchiv Würzburg Domkapitel / Hochstift Würzburg charters

description: XRF (Elio: 40kV, 80 µA, spot measurements of 90s each) and  reflectography (DinoLite: x50 magnification, vis, NIR and UV light) analysis of inks from 45 Domkapitel and Hochstift Würzburg charters kept at the Staatsarchiv Würzburg (9th-12th century CE).


 Messpunkte Würzburg, Gruppen etc.docx - list of spots analysed (in German)
 Protocols_Würzburg_1.pptx - Protocol (part 1/4)
 Protocols_Würzburg_2.pptx - Protocol (part 2/4)
 Protocols_Würzburg_3.pptx - Protocol (part 3/4)
 Protocols_Würzburg_4.pptx - Protocol (part 4/4)
 Report_UrkundenWürzburg.docx - detailed report
 Würzburg charters_reflectography.zip - complete reflectography dataset
 Würzburg charters_XRF.zip - complete XRF dataset
description: The research for this dataset was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.15468/dl.dybdzk
title: Occurrence Download

description: A dataset containing 3209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Nettapus auritus (Boddaert, 1783))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 3209 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004013-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ex6f7
title: Occurrence Download

description: A dataset containing 20862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Cisticola ayresii Hartlaub, 1863)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 20862 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004015-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7n97y
title: Occurrence Download

description: A dataset containing 8649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Buphagus africanus Linnaeus, 1766)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 8649 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004017-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmjvn3
title: Occurrence Download

description: A dataset containing 9030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orchis provincialis Balb. ex Lam. & DC."
 ]
}

 The dataset includes 9030 records from 224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004018-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93djf2
title: Occurrence Download

description: A dataset containing 3267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orchis spitzelii Saut. ex W.D.J.Koch"
 ]
}

 The dataset includes 3267 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004019-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.28238696
title: Supplementary information files for "Spatial inequality in prices and wages within a late-developing economy: Serbia, 1863–1910"

description: Supplementary files for article "Spatial inequality in prices and wages within a late-developing economy: Serbia, 1863–1910"Serbia emerged as a small independent nation-state in the economic periphery of nineteenth-century Europe. This article leverages uniquely abundant town-level data to examine spatial inequality in prices and wages within this late-developing economy. I first build a new dataset on prices of traded and household goods, and wages of skilled and unskilled workers for a panel of 42 urban settlements in Serbia in the period from 1863 to 1910. I apply the welfare ratio approach to calculate real wages of day labourers and masons. Second, I find strong spatial convergence in grain prices and costs of living, but divergence in wages, both nominal and real. Lastly, I investigate the determinants of price convergence and wage divergence with panel-data models. The results suggest that falling transport costs decreased price gaps between locations, whereas rising population differences increased inter-urban wage gaps.<br><br>© The Authors, CC BY 4.0
DOI: 10.17028/rd.lboro.28238696.v1
title: Supplementary information files for "Spatial inequality in prices and wages within a late-developing economy: Serbia, 1863–1910"

description: Supplementary files for article "Spatial inequality in prices and wages within a late-developing economy: Serbia, 1863–1910"Serbia emerged as a small independent nation-state in the economic periphery of nineteenth-century Europe. This article leverages uniquely abundant town-level data to examine spatial inequality in prices and wages within this late-developing economy. I first build a new dataset on prices of traded and household goods, and wages of skilled and unskilled workers for a panel of 42 urban settlements in Serbia in the period from 1863 to 1910. I apply the welfare ratio approach to calculate real wages of day labourers and masons. Second, I find strong spatial convergence in grain prices and costs of living, but divergence in wages, both nominal and real. Lastly, I investigate the determinants of price convergence and wage divergence with panel-data models. The results suggest that falling transport costs decreased price gaps between locations, whereas rising population differences increased inter-urban wage gaps.<br><br>© The Authors, CC BY 4.0
DOI: 10.5281/zenodo.14636049
title: NEUTEC: An Accurate Method for the Global Ionospheric TEC Estimation Using Multi-GNSS Observations

description: Global GNSS-TEC data derived from NEUTEC for DOY025 to DOY031 in 2023

The NEUTEC project proposes a method for precisely estimating the global ionospheric TEC using multi-GNSS. This method aims to establish more comprehensive constraints by considering the spatio-temporal relationships between satellites, constellations, stations, and time. It strives to accurately estimate the DCB parameters and compute the ionospheric TEC, addressing the inconsistencies and uncertainties commonly present in existing techniques for ionospheric TEC estimation.The dataset processed by the NEUTEC program consists of four main types: IPP, sTEC, vTEC, and Elv.

1) IPP: This dataset contains the latitude and longitude of the ionospheric pierce points for each satellite, in radians. If a data point is missing, the corresponding value is set to 0.2) sTEC Data: sTEC (Slant Total Electron Content) represents the total electron content in the line-of-sight direction observed by a satellite at a specific pierce point, in units of TECu. If the observation is missing, it is marked as NaN.3) vTEC Data: vTEC (Vertical Electron Content) refers to the total electron content in the vertical direction at each satellite's pierce point, also in units of TECu. If the observation is missing, it is represented as NaN.4) Elevation Angle Data (Elv): This dataset records the elevation angle of each satellite during observation, in radians.

For the calculation of epoch time, it can be generated based on the standardized data length. If the data length is 2880, the sampling interval is 30 seconds. If the data length is 5760, the sampling interval is 15 seconds. If the data length is 86400, the sampling interval is 1 second.

For the calculation of azimuth, it can be calculated based on the coordinates of the observation station and the coordinates of the IPP point.

Reference:He, L., Zhang, Y., Qu, Z., & Wu, L. (2025). An accurate method for the global ionospheric TEC estimation using multi-GNSS observations. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2024.3523396
DOI: 10.5281/zenodo.14636050
title: NEUTEC: An Accurate Method for the Global Ionospheric TEC Estimation Using Multi-GNSS Observations

description: Global GNSS-TEC data derived from NEUTEC for DOY025 to DOY031 in 2023

The NEUTEC project proposes a method for precisely estimating the global ionospheric TEC using multi-GNSS. This method aims to establish more comprehensive constraints by considering the spatio-temporal relationships between satellites, constellations, stations, and time. It strives to accurately estimate the DCB parameters and compute the ionospheric TEC, addressing the inconsistencies and uncertainties commonly present in existing techniques for ionospheric TEC estimation.The dataset processed by the NEUTEC program consists of four main types: IPP, sTEC, vTEC, and Elv.

1) IPP: This dataset contains the latitude and longitude of the ionospheric pierce points for each satellite, in radians. If a data point is missing, the corresponding value is set to 0.2) sTEC Data: sTEC (Slant Total Electron Content) represents the total electron content in the line-of-sight direction observed by a satellite at a specific pierce point, in units of TECu. If the observation is missing, it is marked as NaN.3) vTEC Data: vTEC (Vertical Electron Content) refers to the total electron content in the vertical direction at each satellite's pierce point, also in units of TECu. If the observation is missing, it is represented as NaN.4) Elevation Angle Data (Elv): This dataset records the elevation angle of each satellite during observation, in radians.

For the calculation of epoch time, it can be generated based on the standardized data length. If the data length is 2880, the sampling interval is 30 seconds. If the data length is 5760, the sampling interval is 15 seconds. If the data length is 86400, the sampling interval is 1 second.

For the calculation of azimuth, it can be calculated based on the coordinates of the observation station and the coordinates of the IPP point.

Reference:He, L., Zhang, Y., Qu, Z., & Wu, L. (2025). An accurate method for the global ionospheric TEC estimation using multi-GNSS observations. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2024.3523396
DOI: 10.5281/zenodo.14689870
title: NEUTEC: An Accurate Method for the Global Ionospheric TEC Estimation Using Multi-GNSS Observations

description: Global GNSS-TEC data derived from NEUTEC for DOY025 to DOY031 in 2023

The NEUTEC project proposes a method for precisely estimating the global ionospheric TEC using multi-GNSS. This method aims to establish more comprehensive constraints by considering the spatio-temporal relationships between satellites, constellations, stations, and time. It strives to accurately estimate the DCB parameters and compute the ionospheric TEC, addressing the inconsistencies and uncertainties commonly present in existing techniques for ionospheric TEC estimation.The dataset processed by the NEUTEC program consists of four main types: IPP, sTEC, vTEC, and Elv.

1) IPP: This dataset contains the latitude and longitude of the ionospheric pierce points for each satellite, in radians. If a data point is missing, the corresponding value is set to 0.2) sTEC Data: sTEC (Slant Total Electron Content) represents the total electron content in the line-of-sight direction observed by a satellite at a specific pierce point, in units of TECu. If the observation is missing, it is marked as NaN.3) vTEC Data: vTEC (Vertical Electron Content) refers to the total electron content in the vertical direction at each satellite's pierce point, also in units of TECu. If the observation is missing, it is represented as NaN.4) Elevation Angle Data (Elv): This dataset records the elevation angle of each satellite during observation, in radians.

For the calculation of epoch time, it can be generated based on the standardized data length. If the data length is 2880, the sampling interval is 30 seconds. If the data length is 5760, the sampling interval is 15 seconds. If the data length is 86400, the sampling interval is 1 second.

For the calculation of azimuth, it can be calculated based on the coordinates of the observation station and the coordinates of the IPP point.

Reference:He, L., Zhang, Y., Qu, Z., & Wu, L. (2025). An accurate method for the global ionospheric TEC estimation using multi-GNSS observations. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2024.3523396
DOI: 10.15468/dl.6mxqp3
title: Occurrence Download

description: A dataset containing 83183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Dendrocygna viduata (Linnaeus, 1766))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 83183 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004020-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20387/bonares-4a02-xc96
title: Growth and plant response raw data from 6 apple genotypes cultivated on Apple Replant Disease affected soils from 6 different locations in Germany

description: Young M.26, Malus spectabilis, Malus sargentii, EMR.2, G.202 and G.935 apple plants were grown for 8 weeks in Apple Replant Disease affected soils from 6 different locations in Germany, either untreated or gamma-irradiated, in the greenhouse. The data set comprises shoot lengths at d0 and after 8 weeks as well as shoot fresh weight and root fresh weight after 8 weeks.
The related scripts can be found in GitHub:  https://github.com/krishauschi/ORDIAmur_ms2/tree/main

Related datasets are listed in the metadata element 'Related Identifier'.
Dataset version 1.0
DOI: 10.15468/dl.rx8fk4
title: Occurrence Download

description: A dataset containing 819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Pentholaea arnotti (Tristram, 1869))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 819 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004022-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jgrme
title: Occurrence Download

description: A dataset containing 31606 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Palhinhaea cernua (L.) Vasc. & Franco"
 ]
}

 The dataset includes 31606 records from 624 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004023-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63f4ja
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Lesotho, Eswatini)",
 "TaxonKey is one of (Catriscus brevirostris (Sundevall, 1850))",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "OccurrenceStatus is Present",
 "DistanceFromCentroidInMeters is greater than or equal to 2000"
 ]
}

 The dataset includes 451 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004024-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eyuk3d
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremurus chinensis O.Fedtsch."
 ]
}

 The dataset includes 154 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004025-250117142028555/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.