cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18154913
title: SRRM1 coordinates an alternative splicing program that promotes expression of oncogenic protein isoforms

description: The alternative splicing of the adapter protein NUMB is dysregulated in multiple cancer types, regulating its functional divergence towards either tumor suppression or oncogenesis in an isoform dependant manner. Here we utilized a NUMB exon 9 (E9) splicing reporter in a genome-wide CRISPR screen to identify splicing regulators SRRM1 and SRSF11 that promote NUMB oncogenic splicing in colorectal, lung and breast cancer cell lines. Furthermore, SRRM1 and SRSF11 share common protein interactors, RNA targets and effects on an oncogenic splicing program which favors the expression of pro-tumorigenic isoforms. In addition to NUMB E9, SRRM1 regulates oncogenic splicing events in genes encoding signaling proteins, transcription factors and actin cytoskeleton regulators, many of which also undergo developmentally regulated splicing, including CD44, MKNK2, ECT2, DIAPH1, KAT5, TCF7L2, FOXM1 and TBX3,. Loss of SRRM1 in colon cancer cells reduces cell proliferation and colony formation capabilities as well as expression of tumour promoters Cyclin D1, Notum, and PRDX2. Our data indicate that SRRM1 regulation of alternative splicing represents a node to target multiple properties of malignant cells, with broad effects on cellular signaling, proliferation, EMT, apoptosis resistance and stemness.
DOI: 10.15156/bio/sh1295524.10fu
title: SH1295524.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18154912
title: SRRM1 coordinates an alternative splicing program that promotes expression of oncogenic protein isoforms

description: The alternative splicing of the adapter protein NUMB is dysregulated in multiple cancer types, regulating its functional divergence towards either tumor suppression or oncogenesis in an isoform dependant manner. Here we utilized a NUMB exon 9 (E9) splicing reporter in a genome-wide CRISPR screen to identify splicing regulators SRRM1 and SRSF11 that promote NUMB oncogenic splicing in colorectal, lung and breast cancer cell lines. Furthermore, SRRM1 and SRSF11 share common protein interactors, RNA targets and effects on an oncogenic splicing program which favors the expression of pro-tumorigenic isoforms. In addition to NUMB E9, SRRM1 regulates oncogenic splicing events in genes encoding signaling proteins, transcription factors and actin cytoskeleton regulators, many of which also undergo developmentally regulated splicing, including CD44, MKNK2, ECT2, DIAPH1, KAT5, TCF7L2, FOXM1 and TBX3,. Loss of SRRM1 in colon cancer cells reduces cell proliferation and colony formation capabilities as well as expression of tumour promoters Cyclin D1, Notum, and PRDX2. Our data indicate that SRRM1 regulation of alternative splicing represents a node to target multiple properties of malignant cells, with broad effects on cellular signaling, proliferation, EMT, apoptosis resistance and stemness.
DOI: 10.15468/dl.p38yc2
title: Occurrence Download

description: A dataset containing 61991 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agapornis roseicollis"
 ]
}

 The dataset includes 61991 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004294-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17037516
title: FLAIR: Room Impulse Response Dataset with Laser-Calibrated Room Geometry

description: The Field LAser-calibrated Impulse Response (FLAIR) dataset contains a total of 270 room impulse responses, along with a millimeter accurate dense 3D point cloud of the room. This dataset provides a basis for investigating inverse spatial audio problems that rely on boundary information, including sound field reconstruction [1] and room impulse response estimation [2]. This dataset was originally published in [1], where detailed descriptions are provided.

 

[1] "Bayesian Sound Field Reconstruction Using Partial Boundary Information", D. Sundström, F. Elvander, and A. Jakobsson,  IEEE Transactions on Audio, Speech and Language Processing, 10.1109/TASLPRO.2025.3619822, 2025[2] "Room impulse response estimation using optimal transport: Simulation-informed inference" D. Sundström, A. Björkman, A. Jakobsson, and F. Elvander, 32nd European Signal Processing Conference , 2024
DOI: 10.5281/zenodo.17037517
title: FLAIR: Room Impulse Response Dataset with Laser-Calibrated Room Geometry

description: The Field LAser-calibrated Impulse Response (FLAIR) dataset contains a total of 270 room impulse responses, along with a millimeter accurate dense 3D point cloud of the room. This dataset provides a basis for investigating inverse spatial audio problems that rely on boundary information, including sound field reconstruction [1] and room impulse response estimation [2]. This dataset was originally published in [1], where detailed descriptions are provided.

 

[1] "Bayesian Sound Field Reconstruction Using Partial Boundary Information", D. Sundström, F. Elvander, and A. Jakobsson,  IEEE Transactions on Audio, Speech and Language Processing, 10.1109/TASLPRO.2025.3619822, 2025[2] "Room impulse response estimation using optimal transport: Simulation-informed inference" D. Sundström, A. Björkman, A. Jakobsson, and F. Elvander, 32nd European Signal Processing Conference , 2024
DOI: 10.15468/dl.v4kc2u
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Harpalyce formosa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 191 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012342-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dbs-zcm-zdh
title: Serjania communis var. glabra Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mhk-s93-r2c
title: Serjania deflexa Gardner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3mk-shj-azq
title: Cardiospermum anomalum Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svf-rt6-dx1
title: Cardiospermum anomalum Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zcd-xrx-vrm
title: Serjania ferruginea (Lindl.) Mabb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/c6vwkj6r3f
title: Water and Air Quality Dataset on Eco Enzyme Development Environment

description: The dataset was collected from IoT sensors installed in the eco enzyme experiment tube. The sensors used were a DHT22 sensor to measure temperature and humidity, an MQ7 sensor to monitor carbon monoxide gas, a pH sensor, a turbidity sensor, and a salinity sensor. All sensors were connected to a NodeMCU ESP32 connected to the internet. All sensor readings were sent to a cloud database via the internet. The data transmission interval was every 30 minutes. This dataset contains data readings from June 13, 2025, to July 20, 2025.
DOI: 10.3535/02e-1r2-xwc
title: Serjania ferruginea (Lindl.) Mabb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qfy-n2f-7r0
title: Serjania comata Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wlv-5wx-s14
title: Wahlenbergia perrottetii (A.DC.) Thulin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/c6vwkj6r3f.1
title: Water and Air Quality Dataset on Eco Enzyme Development Environment

description: The dataset was collected from IoT sensors installed in the eco enzyme experiment tube. The sensors used were a DHT22 sensor to measure temperature and humidity, an MQ7 sensor to monitor carbon monoxide gas, a pH sensor, a turbidity sensor, and a salinity sensor. All sensors were connected to a NodeMCU ESP32 connected to the internet. All sensor readings were sent to a cloud database via the internet. The data transmission interval was every 30 minutes. This dataset contains data readings from June 13, 2025, to July 20, 2025.
DOI: 10.3535/h2v-pad-1cz
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mx3-hr4-hkk
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b8h-l72-drs
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ntt-fqp-2rg
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6ym-hy3-3qf
title: Bryonia dioica Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/abc-0qj-se3
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/kwj9599z73
title: LuffaFolio: A Multifaceted Luffa Aegyptiaca Image Dataset

description: This dataset is divided into 3 parts; Each part consists of smooth luffa grading, diseases, and flowers respectively. These images were captured from different village fields of Faridpur, Bangladesh. To construct the dataset, we have considered Luffa Aegyptiaca commonly known as Smooth Luffa (Dhundal/ধুন্দল). This dataset consists of a total of 1,933 JPG images; the dimension of each image is 1728 x 1728 pixels. The total size of the dataset is 1.45 GB. The dataset contains 3 folders: Luffa_Diseases, Flowers, and Luffa_Grade. 
The detail of the dataset:
• Luffa_Diseases: This dataset contains leaves of smooth luffa representing various diseases along with non-affected ones. The categories of this dataset are Alternaria Disease, Angular Spot Disease, Holed Leaves, Mosaic Virus, and Fresh Leaves. A total of 1,228 JPG raw images are presented in this folder.
• Flowers: This dataset contains flowers of smooth luffa. There is only a single category of this dataset. A total of 362 JPG raw images are presented in this folder. These images represent various maturity stages of smooth luffa flowers. 
• Luffa_Grade: This dataset contains fresh and defective smooth luffa. The categories of this dataset are Fresh and Faulty Luffa. A total of 343 JPG raw images are presented in this folder.
--------------------
For Computer Vision Purpose we have uploaded a pre-processed and more CV friendly dataset version "Luffa_Disease_FINAL.zip" which contains TRAIN (5000 images by augmenting) and TEST (500 unique images) without overlapping any dataset among Train and Test. Image size is uniformed (256x256).
DOI: 10.3535/kjb-mmf-avk
title: Astrantia bavarica F. W. Schultz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lae-wkr-3n0
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mev-z75-1es
title: Astrantia carniolica Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/kwj9599z73.5
title: LuffaFolio: A Multifaceted Luffa Aegyptiaca Image Dataset

description: This dataset is divided into 3 parts; Each part consists of smooth luffa grading, diseases, and flowers respectively. These images were captured from different village fields of Faridpur, Bangladesh. To construct the dataset, we have considered Luffa Aegyptiaca commonly known as Smooth Luffa (Dhundal/ধুন্দল). This dataset consists of a total of 1,933 JPG images; the dimension of each image is 1728 x 1728 pixels. The total size of the dataset is 1.45 GB. The dataset contains 3 folders: Luffa_Diseases, Flowers, and Luffa_Grade. 
The detail of the dataset:
• Luffa_Diseases: This dataset contains leaves of smooth luffa representing various diseases along with non-affected ones. The categories of this dataset are Alternaria Disease, Angular Spot Disease, Holed Leaves, Mosaic Virus, and Fresh Leaves. A total of 1,228 JPG raw images are presented in this folder.
• Flowers: This dataset contains flowers of smooth luffa. There is only a single category of this dataset. A total of 362 JPG raw images are presented in this folder. These images represent various maturity stages of smooth luffa flowers. 
• Luffa_Grade: This dataset contains fresh and defective smooth luffa. The categories of this dataset are Fresh and Faulty Luffa. A total of 343 JPG raw images are presented in this folder.
--------------------
For Computer Vision Purpose we have uploaded a pre-processed and more CV friendly dataset version "Luffa_Disease_FINAL.zip" which contains TRAIN (5000 images by augmenting) and TEST (500 unique images) without overlapping any dataset among Train and Test. Image size is uniformed (256x256).
DOI: 10.3535/agv-cxt-xtd
title: Echinophora trichophylla J. E. Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tfc-khe-vy2
title: Gentiana pumila Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jqq-vnr-fpj
title: Hatiora salicornioides Britton & Rose

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xcz-ccv-yqt
title: Bupleurum affine Sadler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/r6838n5cdg
title: Dataset for “Salt-Induced Instability Control in Bentonite Slurry: Evaluation of Sodium Alginate as a Sustainable Additive for Slurry Shield TBM”

description: This study evaluates sodium alginate (SA), a biodegradable marine biopolymer that has not been previously examined in tunneling applications, as a novel additive to address the instability of high-water content bentonite slurries under saline conditions, a problem commonly encountered in coastal and subsea tunneling projects. Through filter press and rheological tests, SA demonstrated an ability to maintain stable dispersion of bentonite at elevated ionic concentrations, significantly enhancing its water retention capacity compared to conventional polymer additives. Zeta potential analysis supports these findings, confirming that SA adsorption onto bentonite particles prevents salt induced aggregation and maintains colloidal stability. The field compatibility of SA was discussed specifically within the context of practical slurry shield TBM operations.
DOI: 10.3535/bye-rpn-5ag
title: Wahlenbergia brasiliensis Cham.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jxl-yj4-z2g
title: Besleria melancholica (Vell.) C. V. Morton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tp5-gpx-8nb
title: Schlumbergera russeliana (Hook.) Britton & Rose

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xj7-at0-agt
title: Siphocampylus westinianus (Thunb.) Pohl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/r6838n5cdg.1
title: Dataset for “Salt-Induced Instability Control in Bentonite Slurry: Evaluation of Sodium Alginate as a Sustainable Additive for Slurry Shield TBM”

description: This study evaluates sodium alginate (SA), a biodegradable marine biopolymer that has not been previously examined in tunneling applications, as a novel additive to address the instability of high-water content bentonite slurries under saline conditions, a problem commonly encountered in coastal and subsea tunneling projects. Through filter press and rheological tests, SA demonstrated an ability to maintain stable dispersion of bentonite at elevated ionic concentrations, significantly enhancing its water retention capacity compared to conventional polymer additives. Zeta potential analysis supports these findings, confirming that SA adsorption onto bentonite particles prevents salt induced aggregation and maintains colloidal stability. The field compatibility of SA was discussed specifically within the context of practical slurry shield TBM operations.
DOI: 10.3535/eg1-1gp-hmg
title: Schlumbergera truncata (Haw.) Moran

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/74l-1pl-5h8
title: Siphocampylus westinianus (Thunb.) Pohl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yhw-26v-kw5
title: Bryonia dioica Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8fg-p6v-fmt
title: Bryonia dioica Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dxt-jb6-s0g
title: Rhipsalis teres (Vell.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lzs-vkc-egd
title: Echinophora trichophylla J. E. Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/syd-xqh-qnj
title: Rhipsalis mesembryanthemoides Haw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/12b-8yw-ge1
title: Rhipsalis teres (Vell.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w1g-gb9-0rs
title: Echinophora trichophylla J. E. Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7cc-08v-d1e
title: Rhipsalis teres (Vell.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mv8-wbt-dj6
title: Rhipsalis teres (Vell.) Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6pw-l69-5y8
title: Lepismium warmingianum (K. Schum.) Barthlott

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/thd-nr9-har
title: Urvillea laevis Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bnb-b97-hrg
title: Allophylus racemosus (L.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k1c-8f5-cpp
title: Urvillea ulmacea Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gqd-c19-h3z
title: Urvillea ulmacea Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ybv-9lw-6md
title: Allophylus puberulus (Cambess.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f3n-f0g-bbd
title: Andropogon hirtus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ess-erh-v6n
title: Cupania cinerea Poepp. & Endl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h6x-y2r-njh
title: Cardiospermum halicacabum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jcj-cqf-g59
title: Urvillea triphylla (Vell.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m2j-qtj-h7v
title: Besleria umbrosa Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nml-cxs-sqn
title: Siphocampylus westinianus (Thunb.) Pohl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9zb-9dc-qrk
title: Urvillea ulmacea Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kvz-630-vnx
title: Siphocampylus warmingii Kanitz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n6s-pet-7m6
title: Cardiospermum anomalum Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y5q-j97-21x
title: Allophylus puberulus (Cambess.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rff-s1q-lyz
title: Callitriche deflexa A. Braun

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/29d-yfc-mzm
title: Allophylus heterophyllus (Cambess.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ppp-930-t25
title: Siphocampylus macropodus (Thunb.) G.Don

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nmv-4rg-qcj
title: Adenostyles alliariae (Gouan) A. Kern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yw0-d3m-jwy
title: Andropogon hirtus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1vn-xmc-dr0
title: Allophylus puberulus (Cambess.) Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/47gnfttgdx
title: Quantum-Enhanced Cognitive AIoT for Real-Time Adaptive Decision-Making in Smart Infrastructure and Development for Industrial Deployment

description: The convergence of artificial intelligence (AI) with the Internet of Things (IoT) has transformed modern infrastructures into intelligent ecosystems capable of automated data collection and processing. The evolution toward Cognitive AIoT (CAIoT) introduces cognitive capabilities—memory, learning, reasoning, and contextual awareness—embedded within IoT edge devices, enabling autonomous decision-making.
DOI: 10.3535/3zg-scw-3hk
title: Serjania caracasana (Jacq.) Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xqg-a71-tk5
title: Serjania caracasana (Jacq.) Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/47gnfttgdx.1
title: Quantum-Enhanced Cognitive AIoT for Real-Time Adaptive Decision-Making in Smart Infrastructure and Development for Industrial Deployment

description: The convergence of artificial intelligence (AI) with the Internet of Things (IoT) has transformed modern infrastructures into intelligent ecosystems capable of automated data collection and processing. The evolution toward Cognitive AIoT (CAIoT) introduces cognitive capabilities—memory, learning, reasoning, and contextual awareness—embedded within IoT edge devices, enabling autonomous decision-making.
DOI: 10.3535/jm3-q92-2qv
title: Urvillea stipitata Radlk.

description: Digital Specimen for the physical specimen hosted at University of Graz.