cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30693644
title: Supplementary Material for: Zum Diktat, Language Model: Transkription, Sprecher*Innenzuordnung und Verarbeitung von Therapiegesprächen mit KI

description: Hintergrund: Neueste Entwicklungen Künstlicher Intelligenz (KI), insbesondere die automatische Transkription und Weiterverarbeitung von Sprache durch Large-Language-Models, eröffnen enormes Potenzial für die Psychotherapieforschung und Praxis. Da Sprache das zentrale Medium der Psychotherapie ist, bieten sich KI-gestützte Verfahren zur Transkription, Analyse und Weiterverarbeitung an – insbesondere mit Blick auf die aufwändigen Dokumentationspflichten. Verfügbare Anwendungen sind jedoch oft ungeeignet, weil Datenschutz und Zuverlässigkeit nicht gewährleistet sind. 
Material und Methoden: Wir beschreiben und erproben lokal und vom Netzwerk isolierte (air-gapped) - also datenschutzkonforme - KI-Anwendungen im psychotherapeutischen Kontext. Dazu werden innovative Methoden eingeführt, um die Transkriptionsgenauigkeit und die Zuordnung von Sprecher*innen zu optimieren. Die erforderlichen technischen und methodischen Schritte zur lokalen und automatisierten Aufbereitung, Transkription und die Zuordnung von Sprecher*innen werden dargestellt. Deren Funktion wurde in einer Pilotstudie anhand simulierter Anamnesegespräche von Psychologiestudierenden mit Schauspielpatient*innen erprobt, und die Leistungsfähigkeit wurde mit etablierten Methoden (konventionelle Software bzw. manuelle Transkription) verglichen. Zuletzt wurden eine kurze Zusammenfassung der Gespräche sowie Diagnosevorschläge durch ein lokales Large Language Model erstellt. 
Ergebnisse: Insgesamt erzielten die adaptierten KI-gestützten Transkriptionen eine sehr gute Genauigkeit im Vergleich zu manuellen Transkriptionen und übertrafen größtenteils etablierte Software. Die Zuordnung der Sprecher*innen (Diarization) erfolgte ebenfalls zuverlässig. Die generierten Zusammenfassungen waren kohärent und fachlich relevant und die Diagnosevorschläge nachvollziehbar.
Diskussionen und Schlussfolgerungen: Die explorative Arbeit demonstriert, wie psychotherapeutische Gespräche mit alltagstauglicher, lokaler und datenschutzkonformer Technologie automatisch protokolliert und weiterverarbeitet werden können. Dies kann Routineaufgaben erleichtern und neue Forschungsmöglichkeiten eröffnen.
DOI: 10.6084/m9.figshare.30693644.v1
title: Supplementary Material for: Zum Diktat, Language Model: Transkription, Sprecher*Innenzuordnung und Verarbeitung von Therapiegesprächen mit KI

description: Hintergrund: Neueste Entwicklungen Künstlicher Intelligenz (KI), insbesondere die automatische Transkription und Weiterverarbeitung von Sprache durch Large-Language-Models, eröffnen enormes Potenzial für die Psychotherapieforschung und Praxis. Da Sprache das zentrale Medium der Psychotherapie ist, bieten sich KI-gestützte Verfahren zur Transkription, Analyse und Weiterverarbeitung an – insbesondere mit Blick auf die aufwändigen Dokumentationspflichten. Verfügbare Anwendungen sind jedoch oft ungeeignet, weil Datenschutz und Zuverlässigkeit nicht gewährleistet sind. 
Material und Methoden: Wir beschreiben und erproben lokal und vom Netzwerk isolierte (air-gapped) - also datenschutzkonforme - KI-Anwendungen im psychotherapeutischen Kontext. Dazu werden innovative Methoden eingeführt, um die Transkriptionsgenauigkeit und die Zuordnung von Sprecher*innen zu optimieren. Die erforderlichen technischen und methodischen Schritte zur lokalen und automatisierten Aufbereitung, Transkription und die Zuordnung von Sprecher*innen werden dargestellt. Deren Funktion wurde in einer Pilotstudie anhand simulierter Anamnesegespräche von Psychologiestudierenden mit Schauspielpatient*innen erprobt, und die Leistungsfähigkeit wurde mit etablierten Methoden (konventionelle Software bzw. manuelle Transkription) verglichen. Zuletzt wurden eine kurze Zusammenfassung der Gespräche sowie Diagnosevorschläge durch ein lokales Large Language Model erstellt. 
Ergebnisse: Insgesamt erzielten die adaptierten KI-gestützten Transkriptionen eine sehr gute Genauigkeit im Vergleich zu manuellen Transkriptionen und übertrafen größtenteils etablierte Software. Die Zuordnung der Sprecher*innen (Diarization) erfolgte ebenfalls zuverlässig. Die generierten Zusammenfassungen waren kohärent und fachlich relevant und die Diagnosevorschläge nachvollziehbar.
Diskussionen und Schlussfolgerungen: Die explorative Arbeit demonstriert, wie psychotherapeutische Gespräche mit alltagstauglicher, lokaler und datenschutzkonformer Technologie automatisch protokolliert und weiterverarbeitet werden können. Dies kann Routineaufgaben erleichtern und neue Forschungsmöglichkeiten eröffnen.
DOI: 10.6084/m9.figshare.30693647
title: Supplementary Material for: Investigating the Trans Effects of IS1 Transposases on Intragenomic DNA Movements in Escherichia coli

description: Introduction: The transposase protein, InsAB′, is the key cytoplastic determinant that catalyzes IS1 movement within a single DNA molecule or between two DNA molecules. Regulation of InsAB′ synthesis, its structural characteristics, and its potent cis effect on IS1 transposition have been subjects of thorough investigation. However, limited efforts have been devoted to measuring the levels of IS1 transcripts and transposases made by native IS1 elements and examining their trans-acting function, particularly concerning their role in transposing otherwise immobile IS1 elements and other target DNA segments within the bacterial genome. Methods: All constructs were made on the E. coli chromosome using the lambda-Red system. IS1 transposition frequencies were determined using Bgl+ mutation assays, colony PCR and DNA sequencing. IS1 transcripts and transposases were quantitated using lacZ transcriptional and translational reporters. Results: We first confirm that a native IS1 element, IS1E, can transpose at a dramatically elevated rate in the absence of both transcriptional and post-transcriptional regulations. Using lacZ reporters targeting the transposase gene insAB′, we reveal that the InsA repressor moderately reduces insAB′ transcription by as much as 16.8 fold. However, the combined action of InsA and ribosomal frameshifting leads to a much stronger reduction in InsAB′ production, by up to 735 fold. We show that only a small percentage (roughly 1.6%) of IS1 transcripts are successfully translated into InsAB′, highlighting the primary role of post-transcriptional regulation over transcriptional repression in governing IS1 transposition. We also demonstrate, for the first time, that high levels of InsAB′ exhibit a strong trans effect, being capable of efficiently transposing not only normally non-mobile IS1 elements but also a larger miniIS1 cassette within the genome, with greater amounts of InsAB′ leading to higher frequencies of transposition. Conclusions: By dissecting and quantitating the roles of transcriptional and translational controls in transposase production, our study reveals that post-transcriptional regulation via ribosomal frameshifting is the central mechanism governing IS1 intragenomic transposition. Our findings demonstrate that IS1 transposases function in trans, mediating the movement of DNA segments specifically bordered by its IRL and IRR sequences. These findings advance our comprehension of how IS elements mobilize within bacterial genomes.
DOI: 10.6084/m9.figshare.30693647.v1
title: Supplementary Material for: Investigating the Trans Effects of IS1 Transposases on Intragenomic DNA Movements in Escherichia coli

description: Introduction: The transposase protein, InsAB′, is the key cytoplastic determinant that catalyzes IS1 movement within a single DNA molecule or between two DNA molecules. Regulation of InsAB′ synthesis, its structural characteristics, and its potent cis effect on IS1 transposition have been subjects of thorough investigation. However, limited efforts have been devoted to measuring the levels of IS1 transcripts and transposases made by native IS1 elements and examining their trans-acting function, particularly concerning their role in transposing otherwise immobile IS1 elements and other target DNA segments within the bacterial genome. Methods: All constructs were made on the E. coli chromosome using the lambda-Red system. IS1 transposition frequencies were determined using Bgl+ mutation assays, colony PCR and DNA sequencing. IS1 transcripts and transposases were quantitated using lacZ transcriptional and translational reporters. Results: We first confirm that a native IS1 element, IS1E, can transpose at a dramatically elevated rate in the absence of both transcriptional and post-transcriptional regulations. Using lacZ reporters targeting the transposase gene insAB′, we reveal that the InsA repressor moderately reduces insAB′ transcription by as much as 16.8 fold. However, the combined action of InsA and ribosomal frameshifting leads to a much stronger reduction in InsAB′ production, by up to 735 fold. We show that only a small percentage (roughly 1.6%) of IS1 transcripts are successfully translated into InsAB′, highlighting the primary role of post-transcriptional regulation over transcriptional repression in governing IS1 transposition. We also demonstrate, for the first time, that high levels of InsAB′ exhibit a strong trans effect, being capable of efficiently transposing not only normally non-mobile IS1 elements but also a larger miniIS1 cassette within the genome, with greater amounts of InsAB′ leading to higher frequencies of transposition. Conclusions: By dissecting and quantitating the roles of transcriptional and translational controls in transposase production, our study reveals that post-transcriptional regulation via ribosomal frameshifting is the central mechanism governing IS1 intragenomic transposition. Our findings demonstrate that IS1 transposases function in trans, mediating the movement of DNA segments specifically bordered by its IRL and IRR sequences. These findings advance our comprehension of how IS elements mobilize within bacterial genomes.
DOI: 10.5281/zenodo.17698737
title: African Short Stories Online

description: This dataset is an index of African short stories published across a wide range of online platforms—including literary journals and blogs, small magazines, newspapers, and news outlets. The data has been collected by Gilbert Braspenning from 2015 onwards. The database will be updated biannually.
DOI: 10.5281/zenodo.17698736
title: African Short Stories Online

description: This dataset is an index of African short stories published across a wide range of online platforms—including literary journals and blogs, small magazines, newspapers, and news outlets. The data has been collected by Gilbert Braspenning from 2015 onwards. The database will be updated biannually.
DOI: 10.15468/dl.mdkx87
title: Occurrence Download

description: A dataset containing 866402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Agriades glandon, Agrodiaetus damon, Albulina orbitulus, Anthocharis euphenoides, Boloria napaea, Boloria pales, Boloria titania, Carcharodus lavatherae, Charaxes jasius, Coenonympha corinna, Colias phicomone, Elkalyce alcetas, Erebia alberganus, Erebia epiphron, Erebia melampus, Erebia meolans, Fabriciana niobe, Heteropterus morpheus, Hipparchia fagi, Lampides boeticus, Leptotes pirithous, Lysandra hispana, Melanargia occitanica, Melitaea phoebe, Parnassius apollo, Parnassius mnemosyne, Polyommatus eros, Pyrgus armoricanus, Pyrgus malvoides, Thymelicus acteon)"
 ]
}

 The dataset includes 866402 records from 3134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005393-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5qpr5
title: Occurrence Download

description: A dataset containing 2221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo (Linnaeus, 1758)",
 "Year 1000-2025"
 ]
}

 The dataset includes 2221 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013796-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv5t3z
title: Occurrence Download

description: A dataset containing 217111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryobates scalaris (Wagler, 1829)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 217111 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013790-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phgga7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera maackii",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049466-250811113504898/datasets/export for details.
DOI: 10.34810/data2091
title: Replication data for: New palaeoecological insights for the early human occupation in Europe: amphibians and reptiles from the Early Pleistocene of Pirro Nord 13 (Apricena, southern Italy)

description: The data set contains two ahapefiles with their associated data: one corresponding to the 5 km² area created around the current location of Pirro Nord 13 site (Pirro Nord quarry, Apricena, southern Italy), and the other corresponding to the Occupied Distribution Areas (ODA) of the amphibians and reptiles species present in the Early Pliocene site of Pirro Nord 13. The ODAs were calculated by excluding the areas exceeding maximum altitudinal limit for all species in the assemblage (i.e., 1200 m). Both shapefiles are projected in the WGS 84 geographic coordinate reference system. The climatic and palaeoclimatic parameters presented in the associated publication were derived from these files.
description: QGIS, 3.34.0
description: Past, 4.17
DOI: 10.15468/dl.aytt83
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera maackii",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049467-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15473121
title: Agapet (Christian Arabic HTR Model) Training Datasets

description: These files consist of images and gold-standard, expert-corrected segmentation and transcription of Christian Arabic manuscripts in PAGE .XML format. These images were used for the training and testing of the Agapet HTR models for Christian Arabic hands, available in formats compatible with Transkribus and eScriptorium/Kraken. The specific contents of the dataset are as follows:



Full segmentation and transcription of SA-418, a 13th-century manuscript, totalling 342 pages.

Full segmentation and transcription of Sinai Arabic 423, a 17th-century manuscript, totalling 478 pages across 239 images

11 segmented and transcribed pages of BnF Arabe 76, a 14th-century manuscript, used for further testing of the eScriptorium models


These datasets are released to allow independent training, testing, and development of models for computational recognition and analysis of Christian Arabic hands.
DOI: 10.5281/zenodo.15473122
title: Agapet (Christian Arabic HTR Model) Training Datasets

description: These files consist of images and gold-standard, expert-corrected segmentation and transcription of Christian Arabic manuscripts in PAGE .XML format. These images were used for the training and testing of the Agapet HTR models for Christian Arabic hands, available in formats compatible with Transkribus and eScriptorium/Kraken. The specific contents of the dataset are as follows:



Full segmentation and transcription of SA-418, a 13th-century manuscript, totalling 342 pages.

Full segmentation and transcription of Sinai Arabic 423, a 17th-century manuscript, totalling 478 pages across 239 images

11 segmented and transcribed pages of BnF Arabe 76, a 14th-century manuscript, used for further testing of the eScriptorium models


These datasets are released to allow independent training, testing, and development of models for computational recognition and analysis of Christian Arabic hands.
DOI: 10.15468/dl.m9jg6z
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homocodon"
 ]
}

 The dataset includes 100 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006521-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvj5nw
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.918678 24.427527, 89.841555 24.42195, 89.76635 24.405358, 89.694934 24.378163, 89.629079 24.341041, 89.570415 24.294915, 89.52038899999999 24.24093, 89.480231 24.180422, 89.45092 24.114891, 89.43316299999999 24.045956, 89.427379 23.975319, 89.43369199999999 23.904719, 89.451926 23.835893, 89.481616 23.770533, 89.522018 23.710242, 89.57212699999999 23.656495, 89.630707 23.610608, 89.696319 23.573702, 89.76735600000001 23.546678, 89.842084 23.530196, 89.918678 23.524657, 89.995272 23.530196, 90.06999999999999 23.546678, 90.141037 23.573702, 90.206649 23.610608, 90.26522900000001 23.656495, 90.315338 23.710242, 90.35574 23.770533, 90.38543 23.835893, 90.40366400000001 23.904719, 90.409977 23.975319, 90.40419300000001 24.045956, 90.386436 24.114891, 90.357125 24.180422, 90.31696700000001 24.24093, 90.266941 24.294915, 90.208277 24.341041, 90.142422 24.378163, 90.071006 24.405358, 89.995801 24.42195, 89.918678 24.427527))"},{"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 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006522-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v3azn3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((90.074071 24.928287, 89.996639 24.92271, 89.921134 24.906117, 89.849433 24.878922, 89.783317 24.841801, 89.724423 24.795675, 89.67420199999999 24.74169, 89.63388999999999 24.681184, 89.604468 24.615655, 89.586647 24.546724, 89.58084700000001 24.47609, 89.58719000000001 24.405495, 89.605502 24.336676, 89.635313 24.271322, 89.675875 24.211037, 89.72618199999999 24.157297, 89.78498999999999 24.111415, 89.850857 24.074515, 89.922168 24.047495, 89.99718300000001 24.031014, 90.074071 24.025476, 90.150959 24.031014, 90.22597399999999 24.047495, 90.297285 24.074515, 90.363152 24.111415, 90.42196 24.157297, 90.472267 24.211037, 90.512829 24.271322, 90.54264000000001 24.336676, 90.560952 24.405495, 90.567295 24.47609, 90.56149499999999 24.546724, 90.543674 24.615655, 90.514252 24.681184, 90.47394 24.74169, 90.42371900000001 24.795675, 90.364825 24.841801, 90.298709 24.878922, 90.227008 24.906117, 90.15150300000001 24.92271, 90.074071 24.928287))"},{"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/0006523-260120142942310/datasets/export for details.
DOI: 10.57745/pxcknd
title: Full_HEMT_Modelisation_Process.zip

description: :unav
DOI: 10.57745/rwalex
title: Full_HEMT_Characterization_and_Modelisation_Process.zip

description: :unav
DOI: 10.57745/213jk6
title: Full_HEMT_Characterization_and_Modeling_Process.zip

description: :unav
DOI: 10.57745/iz6ly2
title: Characterization flowchart and data for Compact Models of GaN-on-Si HEMTs Driven by Wide-Range Current

description: In order to create compact models for circuit simulations in LTspice, a characterization protocol was established, as shown in the Characterization_flowchart. This procedure was applied to two different transistors, named TLN2 and GS65030. This folder is divided into three parts: 01) A flowchart for the procedure of HEMT transistor characterization using a B1505A curve tracer. 02) A dataset containing static (I–V) and dynamic (C–V) measurements for both HEMT transistors TLN2 and GS65030 03) A set of scripts designed to: - Process measurement data (Id–Vgs, Id–Vds, Id–Vsd) - Fit mathematical models to the different I–V functions - Process measurement data (Crss–Vds, Coss–Vds, Ciss–Vds) - Fit mathematical models to the different C–V functions - Generate a “.lib” file that allows the component to be reused in LTspice A file named "README_HEMT_Modeling.txt" is available for further details on the various functions. All datasets and scripts are fully reusable and are provided to support transparency, reproducibility, and further research. They accompany a journal paper that is currently under preparation.
DOI: 10.15468/dl.sftb7x
title: Occurrence Download

description: A dataset containing 6198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Incarvillea"
 ]
}

 The dataset includes 6198 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006525-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xfh4j
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Illicium floridanum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 964 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006527-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.