cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34730/8e483c04cd3641bc95c5ec7f29a43c15
title: The Cirrus Guide II In-situ Aircraft Data Set

description: The Cirrus Guide II in-situ data set (see Krämer et al., 2016, 2020) contains cloud and trace gas observations in the UTLS (Upper Troposphere / Lower Stratosphere) from research aircraft on a flight by flight basis. The major parameters contained in the data set are: Total water content (TWC = ice for temperatures T &lt; -38C, liquid or ice or a mixture between -38C - 0C, liquid for T &gt; 0C), cloud particle number concentration N_cloud (physical state as for TWC), mean mass radius R_cloud, in-cloud as well as the clear sky relative humidity with respect to ice (RH_ice) and clear sky water vapor volume mixing ratios of H2O and O_3. Further, meteorological variables are included in the data set: Time, Temperature, potential Temperature, Pressure, Altitude, Latitude, Longitude, Latitude, vertical velocity. The complete in situ data set comprises 24 field campaigns described by Krämer et al. (2016) and Krämer et al. (2020).

Note that there is a corrected data base available; please find the description in the respective tar-file (M. Krämer, 2023).

Krämer, M., Rolf, C., Spelten, N., Afchine, A., Fahey, D., Jensen, E., Khaykin, S., Kuhn, T., Lawson, P., Lykov, A., Pan, L. L., Riese, M., Rollins, A., Stroh, F., Thornberry, T., Wolf, V., Woods, S., Spichtinger, P., Quaas, J., and Sourdeval, O.:
A Microphysics Guide to Cirrus – Part II: Climatologies of Clouds and Humidity from Observations, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-40, in press, 2020.

Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., Buchholz, B., Ebert, V., Baumgardner, D., Borrmann, S., Klingebiel, M., and Avallone, L.:
A Microphysics Guide to Cirrus Clouds – Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463–3483, 2016.
DOI: 10.5287/ora-mzkxazv2k
title: Connecting Knossos datasets and researchers using shared spatial methods

description: Descriptions of items relating to the Queen's Megaron, Palace of Knossos, in the Sir Arthur Evans Archive at the Ashmolean Museum. Outputs from Collections Management database in excel and csv format and json transformation using Locolligo.
DOI: 10.15468/dl.m2b4cr
title: Occurrence Download

description: A dataset containing 6861418 records in GBIF matching the query:
SELECT PRINTF('%04d-%02d', "year", "month") AS yearMonth, GBIF_EQDGCCode(4, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000)) AS eqdgcCellCode, familyKey, family, speciesKey, species, COUNT(*) AS occurrences, COUNT(DISTINCT recordedBy) AS distinctObservers, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(familyKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY familyKey)) AS familyCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND countryCode = 'BE' AND hasCoordinate = TRUE AND (coordinateUncertaintyInMeters &lt;= 1000 OR coordinateUncertaintyInMeters IS NULL) AND speciesKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND "month" IS NOT NULL GROUP BY yearMonth, eqdgcCellCode, familyKey, family, speciesKey, species ORDER BY yearMonth DESC, eqdgcCellCode ASC, speciesKey ASC;

 The dataset's 6861418 records were derived from 595 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000209-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cmhxm
title: Occurrence Download

description: A dataset containing 518024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 518024 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000208-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14713165
title: COMMERCIAL BANKS IN THE PROCESS OF EXPANSION OF THE REVENUE BASE PROSPECTS TRANSFORMATION
DOI: 10.5281/zenodo.14713166
title: COMMERCIAL BANKS IN THE PROCESS OF EXPANSION OF THE REVENUE BASE PROSPECTS TRANSFORMATION
DOI: 10.5281/zenodo.13994051
title: Article_List_and_Code_for_Structural_diversity_may_be_a_better_predictor_of_ecosystem_function_than_taxonomic_diversity_a_systematic_review

description: A list of the articles evaluted for a systematic review on how structural diversity relates to ecosystem function. Included is the code used to summarize the findings from the articles and create the figures used in our paper.
DOI: 10.5281/zenodo.14698937
title: UAV-based digital aerial photogrammetry (UAV-DAP) of the Sierra Calderona Natural Park

description: Dataset of photos and photogrammetric point clouds created from Agisoft Metashape software (v1.8). This dataset was obtained to classify the Sierra Calderona Natural Park plant species.
DOI: 10.5281/zenodo.14698938
title: UAV-based digital aerial photogrammetry (UAV-DAP) of the Sierra Calderona Natural Park

description: Dataset of photos and photogrammetric point clouds created from Agisoft Metashape software (v1.8). This dataset was obtained to classify the Sierra Calderona Natural Park plant species.
DOI: 10.5281/zenodo.13994050
title: Article_List_and_Code_for_Structural_diversity_may_be_a_better_predictor_of_ecosystem_function_than_taxonomic_diversity_a_systematic_review

description: A list of the articles evaluted for a systematic review on how structural diversity relates to ecosystem function. Included is the code used to summarize the findings from the articles and create the figures used in our paper.
DOI: 10.5281/zenodo.14713148
title: Article_List_and_Code_for_Structural_diversity_may_be_a_better_predictor_of_ecosystem_function_than_taxonomic_diversity_a_systematic_review

description: A list of the articles evaluted for a systematic review on how structural diversity relates to ecosystem function. Included is the code used to summarize the findings from the articles and create the figures used in our paper.
DOI: 10.6084/m9.figshare.28248413
title: COVID-19_Telemedicine _Questionaries

description: Telemedicine services framework symptomatic questionnaires for COVID-19
DOI: 10.6084/m9.figshare.28248413.v1
title: COVID-19_Telemedicine _Questionaries

description: Telemedicine services framework symptomatic questionnaires for COVID-19
DOI: 10.25574/cdc.338
title: Chandra X-ray Observatory Chandra Data Collection for request #338

description: Chandra Data Collection for request #338
DOI: 10.15468/dl.9amyp7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plecotus kolombatovici Dulic, 1980",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000225-250121130708018/datasets/export for details.
DOI: 10.15468/dl.w5cb6p
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-278.81872 30.11604,-276.58137 33.90905,-282.05046 34.28646,-286.60803 29.54095,-281.719 27.53923,-278.81872 30.11604))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Shorea robusta Gaertn."
 ]
}

 The dataset includes 43 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000227-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmwzyc
title: Occurrence Download

description: A dataset containing 1054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.03322 48.32057,-4.81617 48.31661,-4.84193 48.44042,-5.03932 48.43484,-5.03322 48.32057))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 1054 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000226-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.27175359.v1
title: D-Suite Modelling: Customer Load Profile Allocations

description: This readme outlines the content of the data share from modelling six networks from the project, released as a part of Deliverable 1.1 of the D-Suite Alpha project led by SP Energy Networks.Data sourced from SP Energy Network's HEATUP and EVUP projects have been used to influence the uptake of LCTs in future scenarios for each customer. For more information about the modelling see Appendix B of deliverable "D1.3: Cost-Benefit Analysis" (these can be downloaded from the Smarter Networks Portal). An example notebook “usage_data.pdf” is bundled which shows code for reading the data and the contents.The networks corresponding to these data are available from M. Deakin "Six UK-based Low Voltage Distribution Network Models", DOI link.Note that the "UPRNs" that are listed are unique, randomized four digit IDs which are <i>not </i>true UPRNs.Acknowledgement: This work was funded by the Ofgem Strategic Innovation Fund. D-Suite Alpha is project reference number 10086622 and is led by SP Energy Networks. We acknowledge the support of National Grid ESO and Northern Powergrid respectively under their licenses for their Electric Nation Data and Distribution Future Energy Scenarios. See the Appendix B of deliverable "D1.3: Cost-Benefit Analysis" (download from Smarter Networks Portal link below) for additional data and licenses used.Attribution: This data (profiles and customers), code snippets (notebook) are licensed under a Creative Commons – BY 4.0 licence, they can be referenced as "J. Scott, D. Greenwood, N. Zografou-Barredo, 'D-Suite Modelling: Customer Load Profile Allocations', 2025, DOI: 10.25405/data.ncl.27175359"
DOI: 10.34730/b5d46d5e3646419d98b5da9644a4708e
title: The Cirrus Guide II In-situ Aircraft Data Set

description: The Cirrus Guide II in-situ data set (see Krämer et al., 2016, 2020) contains cloud and trace gas observations in the UTLS (Upper Troposphere / Lower Stratosphere) from research aircraft on a flight by flight basis. The major parameters contained in the data set are: Total water content (TWC = ice for temperatures T &lt; -38C, liquid or ice or a mixture between -38C - 0C, liquid for T &gt; 0C), cloud particle number concentration N_cloud (physical state as for TWC), mean mass radius R_cloud, in-cloud as well as the clear sky relative humidity with respect to ice (RH_ice) and clear sky water vapor volume mixing ratios of H2O and O_3. Further, meteorological variables are included in the data set: Time, Temperature, potential Temperature, Pressure, Altitude, Latitude, Longitude, Latitude, vertical velocity. The complete in situ data set comprises 24 field campaigns described by Krämer et al. (2016) and Krämer et al. (2020).

Note that there is a corrected data base available here; please find the description in the corresponding tar-file (M. Krämer, 2023).

Krämer, M., Rolf, C., Spelten, N., Afchine, A., Fahey, D., Jensen, E., Khaykin, S., Kuhn, T., Lawson, P., Lykov, A., Pan, L. L., Riese, M., Rollins, A., Stroh, F., Thornberry, T., Wolf, V., Woods, S., Spichtinger, P., Quaas, J., and Sourdeval, O.:
A Microphysics Guide to Cirrus – Part II: Climatologies of Clouds and Humidity from Observations, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-40, in press, 2020.

Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., Buchholz, B., Ebert, V., Baumgardner, D., Borrmann, S., Klingebiel, M., and Avallone, L.:
A Microphysics Guide to Cirrus Clouds – Part 1: Cirrus types, Atmos. Chem. Phys., 16, 3463–3483, 2016.
DOI: 10.25405/data.ncl.27175359
title: D-Suite Modelling: Customer Load Profile Allocations

description: This readme outlines the content of the data share from modelling six networks from the project, released as a part of Deliverable 1.1 of the D-Suite Alpha project led by SP Energy Networks.Data sourced from SP Energy Network's HEATUP and EVUP projects have been used to influence the uptake of LCTs in future scenarios for each customer. For more information about the modelling see Appendix B of deliverable "D1.3: Cost-Benefit Analysis" (these can be downloaded from the Smarter Networks Portal). An example notebook “usage_data.pdf” is bundled which shows code for reading the data and the contents.The networks corresponding to these data are available from M. Deakin "Six UK-based Low Voltage Distribution Network Models", DOI link.Note that the "UPRNs" that are listed are unique, randomized four digit IDs which are <i>not </i>true UPRNs.Acknowledgement: This work was funded by the Ofgem Strategic Innovation Fund. D-Suite Alpha is project reference number 10086622 and is led by SP Energy Networks. We acknowledge the support of National Grid ESO and Northern Powergrid respectively under their licenses for their Electric Nation Data and Distribution Future Energy Scenarios. See the Appendix B of deliverable "D1.3: Cost-Benefit Analysis" (download from Smarter Networks Portal link below) for additional data and licenses used.Attribution: This data (profiles and customers), code snippets (notebook) are licensed under a Creative Commons – BY 4.0 licence, they can be referenced as "J. Scott, D. Greenwood, N. Zografou-Barredo, 'D-Suite Modelling: Customer Load Profile Allocations', 2025, DOI: 10.25405/data.ncl.27175359"
DOI: 10.15468/dl.emdf9r
title: Occurrence Download

description: A dataset containing 23120 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Alaska Seaweed Database"
 ]
}

 The dataset includes 23120 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000223-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1hk5xws
title: Hydrogeologic framework database and model, Mountain Home area, southern Idaho

description: Groundwater in the arid Mountain Home area is vital to agricultural, municipal, industrial and other water users who are concerned about declining groundwater levels. The U.S. Geological Survey, in cooperation with the Idaho Department of Water Resources, developed a hydrogeologic framework to provide a conceptual understanding of groundwater resources in the Mountain Home area, which is published in the companion report, SIR 2024-5132 (Hydrogeologic framework of the Mountain Home area, southern Idaho by L.M. Zinsser and S.D. Ducar). This data release contains data generated for this report, including data supporting the three-dimensional hydrogeologic framework model and the water-table contour and groundwater-level change maps.
DOI: 10.15468/dl.w4zt5t
title: Occurrence Download

description: A dataset containing 6039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (United States of America, Canada)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Trillium L."
 ]
}

 The dataset includes 6039 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrn59y
title: Occurrence Download

description: A dataset containing 478711 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Insect, Arachnid and Myriapod Collection"
 ]
}

 The dataset includes 478711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000214-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvh853
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eptesicus anatolicus Felten, 1971",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000229-250121130708018/datasets/export for details.
DOI: 10.5281/zenodo.14713155
title: Recovery After Thoracic Spinal Cord Injury: Walking Rehabilitation in Humans and Stem Cell Therapy with Rehabilitation in Non-Human Primates

description: The therapeutic effects of single interventions for spinal cord injury are limited by significant inter-individual variability. We evaluated one year of locomotor rehabilitation in 15 patients with complete thoracic SCI, observing moderate improvements in AIS grades, L2 motor scores, WISCI, and SCIM, but no notable changes in Ashworth or sensory scores. To explore a feasible combination therapy, we developed a monkey contusion SCI model, which induced hind limb paralysis and electrophysiological deficits. Subacute transplantation of human adipose tissue-derived mesenchymal stem cells (ADMSCs) combined with body-supported walking training significantly improved functional recovery, as evidenced by gait analysis, von Frey tests, and electrophysiology. ADMSC transplantation reduced inflammatory markers, lesion cavity volume, neuronal loss, and axon demyelination, while enhancing corticospinal axon preservation and spinal motor network connectivity. Rehabilitation and ADMSC transplantation synergistically improved gait parameters, including knee stability, suggesting this combined approach may be a promising therapeutic strategy for SCI patients.
DOI: 10.5281/zenodo.14713156
title: Recovery After Thoracic Spinal Cord Injury: Walking Rehabilitation in Humans and Stem Cell Therapy with Rehabilitation in Non-Human Primates

description: The therapeutic effects of single interventions for spinal cord injury are limited by significant inter-individual variability. We evaluated one year of locomotor rehabilitation in 15 patients with complete thoracic SCI, observing moderate improvements in AIS grades, L2 motor scores, WISCI, and SCIM, but no notable changes in Ashworth or sensory scores. To explore a feasible combination therapy, we developed a monkey contusion SCI model, which induced hind limb paralysis and electrophysiological deficits. Subacute transplantation of human adipose tissue-derived mesenchymal stem cells (ADMSCs) combined with body-supported walking training significantly improved functional recovery, as evidenced by gait analysis, von Frey tests, and electrophysiology. ADMSC transplantation reduced inflammatory markers, lesion cavity volume, neuronal loss, and axon demyelination, while enhancing corticospinal axon preservation and spinal motor network connectivity. Rehabilitation and ADMSC transplantation synergistically improved gait parameters, including knee stability, suggesting this combined approach may be a promising therapeutic strategy for SCI patients.
DOI: 10.15468/dl.8ap2pv
title: Occurrence Download

description: A dataset listing the 4009 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-64.62858 60.51462,-63.65433 55.4183,-63.11841 52.61485,-63.65568 52.30489,-63.63502 51.72629,-58.75826 51.6643,-58.71693 51.10636,-55.69995 52.16024,-55.7254 53.55816,-57.57234 54.71478,-59.32096 55.28645,-56.56351 56.26164,-57.57234 58.51468,-61.51835 57.50693,-64.62858 60.51462))",
 "Geometry POLYGON((-63.11841 52.61485,-64.62858 60.51462,-64.71778 58.6004,-64.88453 55.02216,-65.44581 55.04767,-66.03259 55.35382,-66.64489 55.5069,-67.61436 54.40986,-67.18065 52.87911,-65.93054 51.98618,-63.73647 51.65452,-63.68545 52.49643,-63.11841 52.61485))"
 ]
 },
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset's 4009 records were derived from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000218-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14713183
title: METHODOLOGICAL FOUNDATIONS FOR DESIGNING INDIVIDUAL LEARNING TRAJECTORIES FOR BACHELOR'S STUDENTS
DOI: 10.5281/zenodo.14713184
title: METHODOLOGICAL FOUNDATIONS FOR DESIGNING INDIVIDUAL LEARNING TRAJECTORIES FOR BACHELOR'S STUDENTS
DOI: 10.15468/dl.pnhugn
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela lutreola (Linnaeus, 1761)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000231-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13951755
title: The association of mycorrhizal fungi with mature tree growth is stronger in high nitrogen soils for an EMF tree and in low nitrogen for two AMF trees

description: Soil and microbial data for the manuscript: 

The association of mycorrhizal fungi with mature tree growth is stronger in high nitrogen soils for an EMF tree and in low nitrogen for two AMF trees
DOI: 10.5281/zenodo.13951756
title: The association of mycorrhizal fungi with mature tree growth is stronger in high nitrogen soils for an EMF tree and in low nitrogen for two AMF trees

description: Soil and microbial data for the manuscript: 

The association of mycorrhizal fungi with mature tree growth is stronger in high nitrogen soils for an EMF tree and in low nitrogen for two AMF trees
DOI: 10.15468/dl.3z996r
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.55125 -18.17149,-68.58769 -18.17149,-68.58769 -14.73369,-75.55125 -14.73369,-75.55125 -18.17149))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tringa melanoleuca (J.F.Gmelin, 1789)",
 "Year 2021-2025"
 ]
}

 The dataset includes 633 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000232-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14634454
title: Data EGU journals

description: This data are the data concerning EGU journals as included in the figures 4, 6, 7, 8, 9, 10, 14, A1 and A2 in the article "Opinion: Interactive open access publishing for transparent scientific quality assurance and community-driven discourse" by Ervens, Carslaw, Koop, and Pöschl.
DOI: 10.5281/zenodo.14634455
title: Data EGU journals

description: This data are the data concerning EGU journals as included in the figures 4, 6, 7, 8, 9, 10, 14, A2 and A3 in the article "Opinion: Interactive open access publishing for transparent scientific quality assurance and community-driven discourse" by Ervens, Carslaw, Koop, and Pöschl.