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

description: A dataset containing 73325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corvus albicollis Latham, 1790"
 ]
}

 The dataset includes 73325 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134160-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12166388
title: Generative AI in University Communication, 2nd Wave - Survey Data (May 2024)

description: Der Datensatz mit dem Titel "Generative KI in der Hochschulkommunikation, 2. Welle - Umfragedaten (Mai 2024)" erfasst Informationen zur Einführung und Nutzung von generativer künstlicher Intelligenz (KI) im Kontext der Hochschulkommunikation. Die Umfrage, die im Mai 2024 unter 318 deutschen Hochschulen durchgeführt wurde, von denen 82 geantwortet haben, untersucht verschiedene Aspekte, darunter Bekanntheit und Wissen über verschiedene KI-Tools (z.B. ChatGPT), Diskussionen in Gremien, das Vorhandensein von Richtlinien für die Nutzung, das Vorhandensein von Arbeitsgruppen für generative KI, strategische Ziele und Initiativen, Schulungsangebote für generative KI-Tools und die wahrgenommene Bedeutung von generativen KI-Tools in der Hochschulkommunikation. Ziel des Datensatzes ist es, Einblicke in die aktuelle Landschaft und Praxis der Integration generativer KI im universitären Umfeld zu geben. Die Daten der ersten Erhebung sind unter https://doi.org/10.5281/zenodo.10254904 zu finden.

The dataset, titled "Generative AI in University Communication - Survey Data (May 2024)," captures information related to the adoption and utilization of generative artificial intelligence (AI) in the context of university communication. This survey, conducted in June 2024 among 318 German universities of which 82 responded, explores various aspects, including awarenes and knowledge of various AI tools (e.g. ChatGPT), discussions in committees, the existence of guidelines for usage, the presence of working groups for generative AI, strategic goals and initiatives, training offerings for generative AI tools, and the perceived importance of generative AI tools in university communication. The dataset aims to provide insights into the current landscape and practices regarding the integration of generative AI within university settings. Data of the first wave can be found here: https://doi.org/10.5281/zenodo.10254904More information here: https://www.hof.uni-halle.de/projekte/hochki/
DOI: 10.5281/zenodo.12166389
title: Generative AI in University Communication, 2nd Wave - Survey Data (May 2024)

description: Der Datensatz mit dem Titel "Generative KI in der Hochschulkommunikation, 2. Welle - Umfragedaten (Mai 2024)" erfasst Informationen zur Einführung und Nutzung von generativer künstlicher Intelligenz (KI) im Kontext der Hochschulkommunikation. Die Umfrage, die im Mai 2024 unter 318 deutschen Hochschulen durchgeführt wurde, von denen 82 geantwortet haben, untersucht verschiedene Aspekte, darunter Bekanntheit und Wissen über verschiedene KI-Tools (z.B. ChatGPT), Diskussionen in Gremien, das Vorhandensein von Richtlinien für die Nutzung, das Vorhandensein von Arbeitsgruppen für generative KI, strategische Ziele und Initiativen, Schulungsangebote für generative KI-Tools und die wahrgenommene Bedeutung von generativen KI-Tools in der Hochschulkommunikation. Ziel des Datensatzes ist es, Einblicke in die aktuelle Landschaft und Praxis der Integration generativer KI im universitären Umfeld zu geben. Die Daten der ersten Erhebung sind unter https://doi.org/10.5281/zenodo.10254904 zu finden.

The dataset, titled "Generative AI in University Communication - Survey Data (May 2024)," captures information related to the adoption and utilization of generative artificial intelligence (AI) in the context of university communication. This survey, conducted in June 2024 among 318 German universities of which 82 responded, explores various aspects, including awarenes and knowledge of various AI tools (e.g. ChatGPT), discussions in committees, the existence of guidelines for usage, the presence of working groups for generative AI, strategic goals and initiatives, training offerings for generative AI tools, and the perceived importance of generative AI tools in university communication. The dataset aims to provide insights into the current landscape and practices regarding the integration of generative AI within university settings. Data of the first wave can be found here: https://doi.org/10.5281/zenodo.10254904More information here: https://www.hof.uni-halle.de/projekte/hochki/
DOI: 10.15468/dl.5uzpbj
title: Occurrence Download

description: A dataset containing 254312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vaccinium uliginosum L."
 ]
}

 The dataset includes 254312 records from 776 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087067-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/5jge-tm15
title: Bayesian-based Robust Autonomous Positioning for Autonomous Underwater Vehicles

description: The file “marine_data.mat” is the data from the marine experiment, including data from different navigation and positioning sensors. The file “lake_data.mat” is the data from the lake experiment, including data from different navigation and positioning sensors. The meaning and explanation for each column in the file “lake_data.mat” is shown as below:Acc_x is the x-axis acceleration of the surface vehicle.Acc_y is the y-axis accelerationof the surface vehicle.Acc_z is the z-axis acceleration of the surface vehicle.Gyro_x is the x-axis angular velocity of the surface vehicle.Gyro_y is the y-axis angular velocity of the surface vehicle.Gyro_z is the z-axis angular velocity of the surface vehicle.Longitude_GPS is the longitude of the surface vehicle measured by GPS.Latitude_GPS is the latitude of the surface vehicle measured by GPS.Altitude_GPS is the altitude of the surface vehicle measured by GPS.Vel_N_GPS is the velocity of north direction of the surface vehicle measured by GPS.Vel_E_GPS is the velocity of east direction of the surface vehicle measured by GPS.Vel_D_GPS is the velocity of down direction of the surface vehicle measured by GPS.Latitude_R is the real latitude of the surface vehicle.Longitude_R is the real longitude of the surface vehicle.Altitude_R is the real altitude of the surface vehicle.Pitch_R is the real pitch of the surface vehicle.Roll_R is the real roll of the surface vehicle.Yaw_R is the real yaw of the surface vehicle.Vel_N_R is the real velocity of north direction of the surface vehicle.Vel_E_R is the real velocity of east direction of the surface vehicle.Vel_D_R is the real velocity of down direction of the surface vehicle.The meaning and explanation for each column in the file “marine_data.mat” is shown as below:Acc_x is the x-axis acceleration of the ship.Acc_y is the y-axis accelerationof the ship.Acc_z is the z-axis acceleration of the ship.Gyro_x is the x-axis angular velocity of the ship.Gyro_y is the y-axis angular velocity of the ship.Gyro_z is the z-axis angular velocity of the ship.Longitude_GPS is the longitude of the ship measured by GPS.Latitude_GPS is the latitude of the ship measured by GPS.Altitude_GPS is the altitude of the ship measured by GPS.Vel_N_GPS is the velocity of north direction of the ship measured by GPS.Vel_E_GPS is the velocity of east direction of the ship measured by GPS.Vel_D_GPS is the velocity of down direction of the ship measured by GPS.Latitude_R is the real latitude of the ship.Longitude_R is the real longitude of the ship.Altitude_R is the real altitude of the ship.Pitch_R is the real pitch of the ship.Roll_R is the real roll of the ship.Yaw_R is the real yaw of the ship.Vel_N_R is the real velocity of north direction of the ship.Vel_E_R is the real velocity of east direction of the ship.Vel_D_R is the real velocity of down direction of the ship.
DOI: 10.15468/dl.u72rxr
title: Occurrence Download

description: A dataset containing 1013 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mellivora capensis (Schreber, 1776)"
 ]
}

 The dataset includes 1013 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134080-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e9fmn
title: Occurrence Download

description: A dataset containing 4514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xerus Hemprich & Ehrenberg, 1833"
 ]
}

 The dataset includes 4514 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304152-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7ay7e
title: Occurrence Download

description: A dataset containing 55855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Denmark, Estonia, Latvia, Lithuania, Italy, Greece, Cyprus, Türkiye, Russian Federation, Ukraine, Romania, Bulgaria, Albania, Croatia, Austria, Slovakia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juncus squarrosus L."
 ]
}

 The dataset includes 55855 records from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087065-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywkrgf
title: Occurrence Download

description: A dataset containing 2700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus thunbergii Parl."
 ]
}

 The dataset includes 2700 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087108-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.way5vp
title: Occurrence Download

description: A dataset containing 626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astartea fascicularis (Labill.) A.Cunn. ex DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 626 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087109-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3980871
title: Hidden gems in museum cabinets: new species and new distributional records of Scolytodes (Coleoptera: Scolytinae)

description: Twenty-one new species of Scolytodes Ferrari are described from Central and South America: Scolytodes cavus Jordal, sp. nov., Scolytodes excavatus Jordal, sp. nov., Scolytodes speculofrons Jordal, sp. nov., Scolytodes potens Jordal, sp. nov., Scolytodes minimus Jordal, sp. nov., Scolytodes setosicauda Jordal, sp. nov., Scolytodes monticola Jordal, sp. nov., Scolytodes aureifrons Jordal, sp. nov., Scolytodes piliscapus Jordal, sp. nov., Scolytodes curvicostatus Jordal, sp. nov., Scolytodes vellus Jordal, sp. nov., Scolytodes granulatus Jordal, sp. nov., Scolytodes bipilosus Jordal, sp. nov., Scolytodes asperatus Jordal, sp. nov., Scolytodes flavifrons Jordal, sp. nov., Scolytodes capillus Jordal, sp. nov., Scolytodes rufus Jordal, sp. nov., Scolytodes johnsoni Jordal, sp. nov., Scolytodes longipilus Jordal, sp. nov., Scolytodes prolatus Jordal, sp. nov., and Scolytodes bicarinatus Jordal, sp. nov. Females of two species were associated with males and described for the first time: Scolytodes pelicipennis (Schedl, 1952) from Mexico, and Scolytodes venustulus Wood, 1967 from Costa Rica. New synonymies were inferred in four species: Scolytodes bolivianus Eggers, 1928 (=Scolytodes aequipunctatus Eggers, 1943 syn. nov.); Scolytodes major Eggers, 1928 (=Scolytodes argentinensis Eggers, 1943 syn. nov.; =Scolytodes boliviensis Eggers, 1928; =Scolytodes similis Eggers, 1928 syn. nov.); Scolytodes ingae (Blackman, 1943), stat. nov. (=Scolytodes trigonus Jordal, 2013 syn. nov.); Scolytodes canalis Wood, 1974 (=Scolytodes amabilis Wood, 1975 syn. nov.). New country records are reported for 13 species: S. alni Wood, 1969 (Panama), S. bolivianus (Brazil), S. canalis Wood, 1974 (Guatemala), S. chapuisi Wood, 1977 (Peru, Brazil), S. costabilis Wood (Costa Rica), S. elongatus Schedl, 1935 (Panama), S. immanis Wood, 1969 (Panama), S. ingae (Blackman, 1943) (Panama), S. irazuensis Wood, 1969 (Panama), S. major (Honduras, Brazil), S. pelicipennis (Schedl, 1952) (Mexico), S. triangulus Jordal, 1998 (Panama), S. unipunctatus (Blandford, 1897) (Panama, Venezuela), S. venustulus Wood, 1967 (Costa Rica).
DOI: 10.15468/yrnobl
title: Sistemática y biogeografía del género Xenosaurus (Squamata: xenosauridae)

description: Actualmente se reconocen cinco especies en el género Xenosaurus: X. plas, X, newmanorum, X. rectocollaris y X. grandis. Asimismo, se reconocen cinco subespecies en esta última especie: X. grandis grandis, X. grandis sanmartinensis, X. grandis agrenon, X. grandis arboreus y X. granis rackhami. Todas estas formas ocurren en México, aunque la localidad tipo de X. grandis reackhami se encuentran en Guatemala. La última revisión taxonómica del género Xenosaurus fue realizada hace 3 años por King y Thompson. Ahora se ha hecho evidente que varias de las subespecies de X. grandis merecen status de especie más que de subespecie. Asimismo, se han identificado recientemente varias poblaciones en México que representan especies no descritas en este género. Por último, no existe ninguna filogenia propuesta para el mismo. En este proyecto se realiza una revisión taxonómica y un análisis filogenético del género Xenosaurus. Para ello, se han colectado ejemplares y tejidos de la mayoría de las formas descritas (así como varias por describir) durante los últimos años. Se está realizando un análisis de caracteres de la morfología externa y se ha realizado ya un análisis de caracteres moleculares (electroforesis de aloenzimas). Asimismo, se está realizando la secuenciación del gen ND4 para incrementar el número de caracteres empleados en el análisis. De esta manera, se espera producir la descripción de varias especies nuevas de Xenosaurus (tentativamente cinco), una revisión taxonómica del género que reevalúe el status de las subespecies de X. grandis, una propuesta de filogenia del género basada en varios tipos de caracteres y una base de datos de todos los registros de Xenosaurus tanto en colecciones nacionales como en el extranjero (incluyendo ejemplares recolectados en este proyecto).Reino: 1Filo: 1Clase: 1Orden: 1Familia: 1Género: 1Especie: 9Infraespecie: 5
DOI: 10.6084/m9.figshare.26082976
title: datasets

description: The mammalian nervous system controls complex functions through highly specialized and interacting structures. Single-cell sequencing can provide information on cell-type-specific chromatin structure and regulatory elements, revealing chromatin differences between different cell types and their potential roles in brain function. Here, we employed single-cells ATAC-seq to generate a chromatin accessibility dataset from 16 adult rat brain regions, obtained 174,593 high-quality nuclei. We identified cell subtypes of two cell types (neuronal and non-neuronal) with highly specific distributions and characterized gene regulatory elements associated with cell type-specific regions. To further investigate the gene regulatory network of spinal cord regeneration process, we integrated our scATAC-seq data with published single- nucleus RNA-seq data of spinal cord, identified more detailed regeneration related elements to drawGRNs centered on the transcription factor Jun in OPC. Simultaneously, we also performed similar integration analysis in midbrain. Our findings provide a solid foundation for comprehensively dissecting the molecular architecture of the mammalian nervous system.
DOI: 10.6084/m9.figshare.26064127.v1
title: Supplementary Material for: Post excision soft x-ray radiotherapy for keloids: experience in a tertiary referral center

description: Introduction: Keloid is an abnormal proliferation of scar tissue that grows beyond the original margins of the injury. Even after complete resection, recurrences are common and pose a poorly understood challenge in dermatology. There is lack of large prospective clinical trials, thus treatment recommendations are based on retrospective analyses and small cohort studies. Superficial radiotherapy is recommended in recurrent keloids; however, the successful treatment rates vary greatly. The aim of this study is to evaluate the keloid recurrence rate after post excision soft x-ray radiotherapy and the associated factors.
Methods: We reviewed retrospective data of all patients, treated with adjuvant post excision soft x-ray radiotherapy with 12 grays in 6 sessions at the tertiary referral center, Department of Dermatology, University Hospital Zurich, Switzerland, between 2005 and 2018. We analyzed individual keloids as separate cases. Successful treatment was defined as no sign of recurrence within 2 years.
Results: Of the 200 identified patients, 90 met the inclusion criteria and were included in the final analysis. In 90 patients, 104 cases of treated keloids were analyzed. Keloids were mainly located on the trunk (49%) and were mostly caused by previous surgery (52.2%). 50% of the keloids did not relapse within 2 years after therapy. A significant factor leading to recurrence was the presence of previous therapy, with prior topical therapies, such as steroid injections or 5FU, leading to most relapses. 69.2% of keloid cases who relapsed were pretreated. Soft x-ray radiotherapy was well tolerated, with post treatment hyperpigmentation noted in 34% of patients, particularly in patients with non-Caucasian origin (61.3%).
Conclusion: Treatment of refractory keloids is difficult. Post excision radiotherapy is an established adjuvant treatment option, nevertheless, recurrence rates are high, especially in pretreated keloids. Prospective studies determining the exact dosage and fraction of post-excisional radiotherapy are needed to determine the optimal radiation parameters.
DOI: 10.15468/dl.dn27xg
title: Occurrence Download

description: A dataset containing 330984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, South America, North America, Oceania, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Peramelemorphia, Notoryctemorphia, Caenolestidae, Didelphimorphia)"
 ]
}

 The dataset includes 330984 records from 644 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087079-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pfumy
title: Occurrence Download

description: A dataset containing 4898067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Year 2000-2020",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4898067 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048053-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqtc0x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002212-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdxojm
title: Occurrence Download

description: A dataset containing 981873727 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 981873727 records from 19530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006796-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yguatu
title: Occurrence Download

description: A dataset containing 6509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 6509 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037210-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112048035
title: Cuneiform Tablet 1913.14.0225, Spurlock 1913.14.0225

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0225; CDLI P420607 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (10YR 8/2) Medium Gray (N 5.25/ 22.1% R) ❧ [Physical Object Note:] 3.1 x 3.1 x 1.9 cm (22g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.ffrhu8
title: Occurrence Download

description: A dataset containing 7641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia baldschuanica (Regel) Holub",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7641 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037500-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8cs8y
title: Occurrence Download

description: A dataset containing 51004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((115.833 -31.972,115.869 -31.972,115.869 -31.936,115.833 -31.936,115.833 -31.972))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51004 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000460-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112047996
title: Cuneiform Tablet 1913.14.0225, Spurlock 1913.14.0225

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0225; CDLI P420607 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish Gray (10YR 8/2) Medium Gray (N 5.25/ 22.1% R) ❧ [Physical Object Note:] 3.1 x 3.1 x 1.9 cm (22g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.mvq2zd
title: Occurrence Download

description: A dataset containing 7352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Oenanthe finschii (Heuglin, 1869)"
 ]
}

 The dataset includes 7352 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151147-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.