cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31370359
title: Experimental data: Alginate vs chitosan composites loaded with halloysite/molecularly imprinted polymer hybrids for tetracycline removal: Comparative studies of adsorption behaviour

description: Data obtained for publication: Alginate vs chitosan composites loaded with halloysite/molecularly imprinted polymer hybrids for tetracycline removal: Comparative studies of adsorption behaviour
DOI: 10.6084/m9.figshare.31370359.v1
title: Experimental data: Alginate vs chitosan composites loaded with halloysite/molecularly imprinted polymer hybrids for tetracycline removal: Comparative studies of adsorption behaviour

description: Data obtained for publication: Alginate vs chitosan composites loaded with halloysite/molecularly imprinted polymer hybrids for tetracycline removal: Comparative studies of adsorption behaviour
DOI: 10.5281/zenodo.18695659
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2018-07-25 to 2018-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2018. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2018-07.tar.gz contains all images from July 2018.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.

Operation of the camera started on 2018-07-25. This product is not available before 2018-07-25.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been funded by the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the University of Freiburg accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors and/or the University of Freiburg are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18678446
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2019-01-01 to 2019-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2019. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2019-01.tar.gz contains all images from January 2019.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18678447
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2019-01-01 to 2019-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2019. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2019-01.tar.gz contains all images from January 2019.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18695658
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2018-07-25 to 2018-12-31 [RAW]

description: Original fish-eye camera images from an upward looking cloud camera at the urban rooftop weather station Freiburg-Chemiehochhaus (FRCHEM, 7.8486ºE, 48.0011ºN, 323.5 m) from the year 2018. Images have been recorded every 10 minutes, day and night, using a CC5MPXFE camera with 2592 × 1984 pixels (Campbell Scientific Inc., Logan UT, USA) installed at roof level with a hemispheric lens view.



Files are sorted in packages per month, so e.g. 2018-07.tar.gz contains all images from July 2018.

Images have been recorded every 10 minutes and are named according to the following scheme: UNIFR_YYYY_MM_DD_HH_II_SS.jpg where Y = year, M = month, d = day of month, h = hour of day (00-24), i = minutes (00-59), and s = seconds (00 - 59). All times are given in UTC. Seconds may slighlty vary depending on internal clock.

The camera has been alinged so the top of the image points to geographic North (N), left is West (W), right is East (E) and bottom is South (S). The image "sky_camera_mask.svg" provides an overlay with cardinal directions indicated. For orientation, the image shows the top of the weather station mast with the red light and anemometer to the W and a lightning protection rod to the ESE.

Images can contain dust, snow and raid droplets on the hemispherical housing. Due to a technical issue, selected images under high sunlight conditions are recorded in black.

Operation of the camera started on 2018-07-25. This product is not available before 2018-07-25.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been funded by the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the University of Freiburg accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors and/or the University of Freiburg are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18701345
title: Multilingual dataset of interviews with survivors and witnesses of the Holocaust (USHMM)

description: This spreadsheet contains links and metadata referring to a selection of 100 interviews from the collections of the United States Holocaust Memorial Museum USHMM (https://collections.ushmm.org). The selection is a multilingual selection with similar number of male and female, witnesses and survivors. The interivews were originally conducted in following languages, 30 in Czech, 23 in Polish, 20 in English,15 in Dutch and 12 in French. The dataset was provided as full interview material (videos and transcripts or summaries) with permission of the USHMM for the Helsinki digital humanities hackathon (https://heldig.fi/dhh25), in May 2025. The data was collected and provided by Dr. Isuri Anuradha and its provision was facilitated by Prof. Martin Wayne. This metadata file was compiled for the Hackathon by Dr. Inés Matres and MSC Yu Wu from the Univeristy of Helsinki.
DOI: 10.5281/zenodo.18701344
title: Multilingual dataset of interviews with survivors and witnesses of the Holocaust (USHMM)

description: This spreadsheet contains links and metadata referring to a selection of 100 interviews from the collections of the United States Holocaust Memorial Museum USHMM (https://collections.ushmm.org). The selection is a multilingual selection with similar number of male and female, witnesses and survivors. The interivews were originally conducted in following languages, 30 in Czech, 23 in Polish, 20 in English,15 in Dutch and 12 in French. The dataset was provided as full interview material (videos and transcripts or summaries) with permission of the USHMM for the Helsinki digital humanities hackathon (https://heldig.fi/dhh25), in May 2025. The data was collected and provided by Dr. Isuri Anuradha and its provision was facilitated by Prof. Martin Wayne. This metadata file was compiled for the Hackathon by Dr. Inés Matres and MSC Yu Wu from the Univeristy of Helsinki.
DOI: 10.5281/zenodo.17978317
title: D1.4_Modeling_the_effect_of_scale_deposition_on_heat_transfer_in_injection_molding_metadata

description: This file contaions simulations models and calculation results.
DOI: 10.5281/zenodo.18701631
title: D1.4_Modeling_the_effect_of_scale_deposition_on_heat_transfer_in_injection_molding_metadata

description: This file contaions simulations models and calculation results.
DOI: 10.15468/dl.pntruk
title: Occurrence Download

description: A dataset containing 1354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-500.0",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Herbario Nacional Colombiano (COL), Caracterización de flora, edafofauna epígea, anfibios y aves del Complejo Páramos Chilí - Barragán, Tolima, University of Amsterdam (NL) - Páramo Vegetation Research, Chingaza - Cruz Verde - Monserrate -Guasca, Colombia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Espeletia"
 ]
}

 The dataset includes 1354 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029840-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh6kv3
title: Occurrence Download

description: A dataset containing 7609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamandua mexicana"
 ]
}

 The dataset includes 7609 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029838-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57892/100-338
title: Search in Diagrams Experiment Material
DOI: 10.15468/dl.yqvjzy
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperocimex sonorensis"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029839-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7805/ebdc-bep-2025
title: EBDC Business Expectations Panel (2025)

description: Das EBDC Business Expectations Panel, BEP, welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: Das EBDC Business Expectations Panel, BEP, besteht aus den wichtigsten Variablen des ifo Konjunkturtests und den entsprechenden Bilanzdaten aus den Unternehmensdatenbanken Amadeus (Bureau van Dijk) und Hoppenstedt (Hoppenstedt Firmeninformationen GmbH). Der ifo Konjunkturtest wird monatlich vom ifo Institut erhoben. Er setzt sich aus den EInzelerhebungen für die Sektoren Bau, Dienstleister, Handel und Verarbeitendes Gewerbe zusammen. Kern des Fragenprogramms sind qualitative Urteile zu aktuellen ökonomischen Parametern der Unternehmen wie z.B. der allgemeinen Situation, dem Umsatz, der Nachfrage, Kreditrestriktionen oder den Beschäftigten sowie Fragen zu den Entwicklungen in den kommenden Monaten, u.a. den Geschäfts-, Beschäftigten- oder Preiserwartungen. Die Bilanzdaten der Unternehmensdatenbanken wurden mit Hilfe der Programms Matching-Software MTB (Merge Toolbox), welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: The EBDC Business Expectations Panel, BEP, consists of the main variables of the ifo Business Survey and the corresponding balance sheet data from firm databases Amadeus (Bureau vanDijk) and Hoppenstedt(Hoppenstedt Information GmbH).The ifo Business Survey has been conducted by the ifo Institute on a monthly basis. The core of the questionnaire consists of qualitative assessments on the current economic parameters of companies such as, for example, the general situation, turnover, demand, credit constraints  and staff numbers, as well as questions on trends in the forthcoming months in areas like business, employment and price expectations. The financial variables were merged by using the matching software MTB (Merge Toolbox) developed at the Center for Quantitative Methods and Survey Research of the University of Konstanz.
description: Self-administered questionnaire
DOI: 10.5281/zenodo.18658291
title: Dataset for "Identification of random material properties as stochastic inversion problem"

description: Dataset containing input parameters, simulated responses, and processed data used in the numerical study presented in the publication:E. Kočková, A. Kučerová, Identification of Random Material Properties as Stochastic Inversion Problem.The data support the identification of stochastic material parameters using hierachical Bayesian inference (HB) and procedure based on transformation of variables (ToV).
DOI: 10.5281/zenodo.18658292
title: Dataset for "Identification of random material properties as stochastic inversion problem"

description: Dataset containing input parameters, simulated responses, and processed data used in the numerical study presented in the publication:E. Kočková, A. Kučerová, Identification of Random Material Properties as Stochastic Inversion Problem.The data support the identification of stochastic material parameters using hierachical Bayesian inference (HB) and procedure based on transformation of variables (ToV).
DOI: 10.15468/dl.2s8eud
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nepeta dirmencii Yild. & Dinç"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046839-230530130749713/datasets/export for details.
DOI: 10.15468/dl.ttwnn8
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nepeta coerulescens Maxim."
 ]
}

 The dataset includes 218 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046813-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vecaqv
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiagra hebetior (Hartert, 1924))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 151 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294175-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayg6a6
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codonanthopsis caribaea (Urb.) Chautems & Mat.Perret"
 ]
}

 The dataset includes 67 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003457-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuqdg2
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ginkgo biloba L.",
 "Year is greater than or equal to 2017",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1100 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290012-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyjq6v
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nepeta concolor Boiss. & Heldr. ex Benth."
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046816-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqf9x9
title: Occurrence Download

description: A dataset containing 2551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melipotes fumigatus A.B.Meyer, 1886)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2551 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294165-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqkana
title: Occurrence Download

description: A dataset containing 5238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ginkgo biloba L.",
 "Year is greater than or equal to 2016",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5238 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290013-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gha8uz
title: Occurrence Download

description: A dataset containing 5748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "Geometry POLYGON((-14.03414 36.24911,-23.46711 17.1368,-19.16702 1.42795,5.45539 -1.29416,12.08885 -34.61856,27.34323 -38.38816,39.73794 -23.14771,45.67501 -27.89702,57.873 -18.56938,58.37589 8.55255,55.48485 14.49988,39.99228 20.65929,37.35131 28.30104,37.1762 32.52153,30.28527 33.92303,18.29378 34.25968,14.51293 37.45376,7.09312 38.9859,-5.2952 38.30692,-14.03414 36.24911))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Viperidae"
 ]
}

 The dataset includes 5748 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003459-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dxmu3
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnomyza viridis (E.L.Layard, 1875))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 138 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294169-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.