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

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061894-250717081556266/datasets/export for details.
DOI: 10.3535/0dn-wr2-b68
title: Meesia triquetra (L. ex Jolycl.) Ångstr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/348-2xf-0t6
title: Dianthus giganteus subsp. banaticus (Heuff.) Tutin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/09c-s2p-z9d
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/33y-xcr-xn2
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5fr-0a6-8kz
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4z4-sfx-nd8
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h1n-y9n-x40
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.48366/r1433550
title: Improving Generation Accuracy and Reducing LLM Hallucination Through Retrieval-Augmented Generation (RAG) 

description: Generative LLMs hallucinate and underperform in certain content generation tasks. This has motivated researchers to seek viable means to improve model response quality and reliability. One method currently used to address this challenge is retrieval augmented generation (RAG). RAG is an hybrid method that enhances performance through combination of the strengths of retrieval-based and generation-based models to produce responses that are accurate and contextually relevant to the prompt or query issued by user. In this comparison, works that apply RAG to enhance performance in real-world benchmarks are highlighted. With newer LLMs emerging, and underexplored problems in natural language processing being identified, the need for improved RAG methodology to enhance performance cannot be over emphasized.
DOI: 10.3535/fhs-tg1-38x
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nbd-se2-01m
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3wx-vq6-e1n
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qmp-kc1-zk6
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6bk-d8j-8ga
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4kb-6et-chj
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ser-z5r-yrp
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/787-5dq-ejn
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/765-cb7-wz4
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/txg-dek-e81
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nll-bvf-1pq
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zan-ybe-p28
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q1w-n5e-vmk
title: Dianthus crinitus subsp. crinitus

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yy9-yf5-crx
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/33w-gq5-61d
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ync-1c9-y2j
title: Dianthus crinitus subsp. nuristanicus (Gilli) Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.15587872
title: Geuvadis genotype data

description: Here is the genotype data of the Geuvadis people for l-ctPred training in scPrediXcan framework. The data is from 1000G dataset. (In version 1, the chr1 file was incomplete due to file transfer issues. This problem has been fixed in version 2.)
DOI: 10.5281/zenodo.16538482
title: Geuvadis genotype data

description: Here is the genotype data of the Geuvadis people for l-ctPred training in scPrediXcan framework. The data is from 1000G dataset. (In version 1, the chr1 file was incomplete due to file transfer issues. This problem has been fixed in version 2.)
DOI: 10.3535/hft-eqb-rmr
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xlg-xs6-gwe
title: Dianthus crinitus subsp. nuristanicus (Gilli) Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/net-1v9-a3f
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rzl-6z6-1yr
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svw-k46-hhf
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7ch-l30-kb9
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ng4-zt4-tae
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.kaqqxs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Muscicapa striata)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061896-250717081556266/datasets/export for details.
DOI: 10.3535/dy0-s6l-r59
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rha-ndy-3vy
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.bfwqwk
title: Occurrence Download

description: A dataset containing 39102 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Academy of Natural Sciences of Philadelphia Herpetology Collection"
 ]
}

 The dataset includes 39102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061895-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/293-n4a-s2x
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cb1-v79-l8b
title: Dianthus cruentus Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/98t-5p7-tgv
title: Dianthus crinitus subsp. kermanensis Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nyq-nnf-j25
title: Meesia hexasticha (Funck) Bruch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c0c-q5q-9wy
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z4e-m64-3ck
title: Dianthus crossopetalus (Fenzl ex Boiss.) Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.gz7ubd
title: Occurrence Download

description: A dataset containing 1027394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Muscicapa striata)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1027394 records from 1923 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061856-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m97m2d
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guadeloupe",
 "OccurrenceStatus is Present",
 "TaxonKey is Junonia neildi"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023825-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj544b
title: Occurrence Download

description: A dataset containing 2233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Symphytum officinale"
 ]
}

 The dataset includes 2233 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022903-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18199776
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [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 2025. 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. 2025-01.tar.gz contains all images from January 2025.

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" in the repository https://doi.org/10.5281/zenodo.14598519 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.18199775
title: Cloud camera images from Automatic Weather Station (AWS) at Freiburg – Chemiehochhaus (FRCHEM) from 2025-01-01 to 2025-12-31 [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 2025. 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. 2025-01.tar.gz contains all images from January 2025.

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" in the repository https://doi.org/10.5281/zenodo.14598519 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: 10.6084/m9.figshare.26090581
title: Shapefiles Orosi Valley

description: Shapefiles of the geomorphological map of the Orosi Valley, Costa Rica
DOI: 10.6084/m9.figshare.26090581.v1
title: Shapefiles Orosi Valley

description: Shapefiles of the geomorphological map of the Orosi Valley, Costa Rica
DOI: 10.5281/zenodo.12193889
title: An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines

description: Here we present a benchmarking dataset of fluorescence microscopy images with EGFP-Galectin-3-stained cells together with annotations of their outlines. Images were randomly selected from an RNA interference screen with a modified U2OS osteosarcoma cell line, acquired on a Thermo Fischer CX7 high-content imaging system at 20x magnification. 

The dataset contains 60 images showing over 2000 labelled nuclear objects in total, which is sufficiently large to train well-performing neural networks for instance or semantic segmentation. It is pre-split into training, development and test set, each in a zip file. The dataset should be referred to as Aitslab_bioimaging2.

For most of the images, nuclear staining and annotations have been published previously in the dataset Aitslab_bioimaging1 (https://doi.org/10.5281/zenodo.6657260). The conversion script to produce the png images from the C01 images was published together with this dataset.
DOI: 10.17632/5r496x7w7f.1
title: Culex pipiens mating behavior based on mate size

description: Mosquitoes were reared for large and small sizes and then mated in a full factorial design. Their mate selection and female post-mating responses were recorded across three experiments, each replicated three times.

Experiment 1 Insemination & Wing Length Data
Experiment 2 Mating, Survival, Blood feeding, Insemination, Fecundity & Fertility Data
Experiment 3 Insemination & Wing Length Data
DOI: 10.60600/yu/clawet/ajlaij
title: 0345.wav

description: :unav
DOI: 10.60600/yu/clawet/xarere
title: 0505.wav

description: :unav
DOI: 10.15468/dl.sdvs9x
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.28492 8.99581,-72.44351 10.69497,-71.04661 11.74061,-70.93224 12.39413,-71.7083 12.68822,-73.37478 11.55272,-74.96775 11.29948,-75.64578 10.49891,-75.73563 9.99243,-75.92352 9.56764,-75.56408 8.97947,-75.27817 8.21158,-74.64915 7.77045,-74.64098 7.09242,-74.25704 6.74932,-73.70154 7.35383,-73.62802 7.58257,-73.27675 7.52538,-73.03168 8.26877,-73.28492 8.99581))",
 "OccurrenceStatus is Present",
 "TaxonKey is Anopheles Meigen, 1818"
 ]
}

 The dataset includes 174 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091099-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/5tuqut
title: 0244.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/qyyrtl
title: 0469.wav

description: :unav
DOI: 10.5281/zenodo.11634079
title: Transipedia

description: Nous travaillons sur une méthodologie innovante dont une 1er preuve de concept a été déposée dans BioRxiv et soumise à Genome Biology (Beissière  et al, 2024). Cette méthodologie a pour objectif de mettre mise à disposition des données de séquençage haut-débit à très grande échelle. Elle permet une exploration ou une re-exploration directe par le biologiste de milliers de données disponibles en accès public (200 000 dans SRA) qui ne sont pas facilement réutilisables sans procédure bioinformatique lourde. Ce concept est basé sur une analyse par "k-mer" (courte séquence nucléotidique) associé à un événement biologique (appelée sonde ou probe) qui est le point de départ de la requête. Cette sonde va être recherché et compté dans des milliers de kmers indexés par notre procédure. Le site Web Transipedia rend la solution interactive, rapide, précise et simple. Notre développement et notre procédure sont très bien positionnés dans le domaine de l'indexation des données de séquences et leur re-exploration pour des questions biologiques. A ce jour Transipedia est le seul serveur public qui renvoie en temps réel des tables d'expression pour des requêtes biologiques en interrogeant simultanément plusieurs milliers de données de séquences (équivalent de plusieurs dizaines de To). Transipedia est basé sur l'outil d'indexation Reindeer le 1er logiciel développé et publié dans ce domaine conçu pour explorer des données RNAseq.
DOI: 10.5281/zenodo.12514228
title: Transipedia

description: Nous travaillons sur une méthodologie innovante dont une 1er preuve de concept a été déposée dans BioRxiv et soumise à Genome Biology (Beissière  et al, 2024). Cette méthodologie a pour objectif de mettre mise à disposition des données de séquençage haut-débit à très grande échelle. Elle permet une exploration ou une re-exploration directe par le biologiste de milliers de données disponibles en accès public (200 000 dans SRA) qui ne sont pas facilement réutilisables sans procédure bioinformatique lourde. Ce concept est basé sur une analyse par "k-mer" (courte séquence nucléotidique) associé à un événement biologique (appelée sonde ou probe) qui est le point de départ de la requête. Cette sonde va être recherché et compté dans des milliers de kmers indexés par notre procédure. Le site Web Transipedia rend la solution interactive, rapide, précise et simple. Notre développement et notre procédure sont très bien positionnés dans le domaine de l'indexation des données de séquences et leur re-exploration pour des questions biologiques. A ce jour Transipedia est le seul serveur public qui renvoie en temps réel des tables d'expression pour des requêtes biologiques en interrogeant simultanément plusieurs milliers de données de séquences (équivalent de plusieurs dizaines de To). Transipedia est basé sur l'outil d'indexation Reindeer le 1er logiciel développé et publié dans ce domaine conçu pour explorer des données RNAseq.
DOI: 10.17632/874t6tv3t8.1
title: Tax Revenue Forecasting Using ARIMA and VAR Models and the Implications for Fiscal Policy

description: Data and Data Sources
Variable Measurement Data Source
Tax revenue (TR) Total tax revenue (% GDP) IMF GFS, WBDI, ZIMRA
GDP growth (GDPGROWTH) Proxy for economic development WBDI
Private consumption expenditure (PCE) Private consumption expenditure (% GDP) WBDI
Share of agriculture in GDP (AGRIC) Agriculture sector (% GDP) WBDI
Inflation (INFL) Consumer Price Index (proxy of inflation) UNCTAD
Trade openness (OPP) Exports and imports (% GDP) WBI
Shadow Economy (SECO) Dynamic general equilibrium model-based (DGE) estimates of informal output (% of official GDP) WB Informal Economy Statistics
DOI: 10.60600/yu/clawet/hm7mcs
title: 0282.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/dtufja
title: 0525.wav

description: :unav