cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/em8-me4-w3r
title: Clinopodium nepeta subsp. spruneri (Boiss.) Bartolucci & F.Conti

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v8q-ysd-6vt
title: Aeluropus littoralis (Gouan) Parl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/441-pv4-vbg
title: Galium rivale (Sm.) Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cmd-7j3-pc1
title: Potamogeton nodosus Poir.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ph5-4gg-m34
title: Achillea ptarmica L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/21p-158-rfm
title: Carex michelii Host

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gf8-n8v-fqq
title: Calamagrostis epigejos (L.) Roth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d5b-s40-x2s
title: Potentilla nitida L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fwq-hsw-6dd
title: Carex melanostachya M.Bieb. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9ge-erp-2dh
title: Achnatherum calamagrostis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rgs-bbk-qv6
title: Rumex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ndg-y5r-g09
title: Salsola tragus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yvc-392-pbm
title: Rumex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9l4-0sl-m6f
title: Potentilla reptans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v7m-twm-g7r
title: Pyrus pyraster (L.) Burgsd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f0r-hh3-27h
title: Crepis rubra L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rqn-ag0-ewy
title: Echinops transcaucasicus Iljin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/31x-d3r-y6d
title: Viola palustris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b0w-az2-t7h
title: Portulaca grandiflora Hook.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w4v-n5y-xxp
title: Oxalis corniculata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.yzmnre
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 (Lanius collurio)",
 "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/0062034-250717081556266/datasets/export for details.
DOI: 10.3535/3bk-45v-b49
title: Artemisia pancicii Ronniger ex Danihelka & Marhold

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vwa-94g-e7f
title: Trigonia nivea Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dlt-3lh-ern
title: Potamogeton lucens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lna-tgh-eet
title: Rumex confertus Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3l5-xvm-a1d
title: Jurinea stenocalathia Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7tg-tq7-6pp
title: Chenopodium pallidicaule Aellen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/bzkpdv9j5m
title: The impact of urban low-Carbon incentive policy on enterprise transformation and upgrading: evidence from a quasi-natural experiment in China

description: The raw data required to replicate the research results is already the ‘minimum data set’ for the submitted article.
DOI: 10.3535/ey3-9d6-9br
title: Chenopodium phillipsianum Aellen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w06-401-69k
title: Sida cordifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bqp-q51-79f
title: Gingidia montana (J. R. Forst. & G. Forst.) J. W. Dawson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/brn-mxw-0tj
title: Scilla bifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/bzkpdv9j5m.1
title: The impact of urban low-Carbon incentive policy on enterprise transformation and upgrading: evidence from a quasi-natural experiment in China

description: The raw data required to replicate the research results is already the ‘minimum data set’ for the submitted article.
DOI: 10.3535/qhv-j0a-k9e
title: Gentianella Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/13j-w8d-s5z
title: Juncus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h49-apz-05w
title: Juncus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5yl-nf8-xgt
title: Alcea rosea L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tdn-1j2-vsd
title: Euphrasia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/37y6yz9s5m
title: DMBT1-liver metastasis

description: The liver is a major target organ for breast cancer metastasis, while the regulatory mechanism of liver colonization of breast cancer remains largely unclear. Neutrophils are known to play important roles in metastatic colonization of cancer cells by formation of neutrophil extracellular traps (NETs). Here we show the role and mechanism of a subpopulation of Kupffer cells (KCs), the liver resident macrophages, in mediating tumoral induction of NETs and liver metastasis. NETs are activated more abundantly in liver metastases of breast cancer, as compared to metastases to other organs and primary tumors. Liver-tropic tumor cells induce CD62L-expressing KCs by a secretory protein DMBT1, and CD62L+ KCs activate neutrophils for NETosis via the chemokine CCL8. Inhibition of CCL8 or its receptor on neutrophils, CCR1, impairs NETosis and metastasis. In addition, we identified a KC membrane protein MUC1 that binds to DMBT1 and subsequently activates NFκB signaling of KCs, leading to CCL8 and CD62L expression. KC targeting with MUC1 inhibition effectively suppresses liver metastasis. Furthermore, a DMBT1 neutralizing antibody was developed with promise to inhibit tumor-KC interaction and treat metastatic cancer. In conclusion, our work reveals a KC subset that accounts for the liver tropism of breast cancer cells and NETs, and provides potential strategies in metastasis treatment.
DOI: 10.3535/0ex-24g-xh6
title: Potamogeton cheesemanii A.Benn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m7p-y1c-xjl
title: Delphinium hispanicum Costa

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/63p-2jr-06l
title: Agrostis capillaris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dc2-l1s-dsg
title: Dahlstedtia pentaphylla (Taub.) Burkart

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/37y6yz9s5m.1
title: DMBT1-liver metastasis

description: The liver is a major target organ for breast cancer metastasis, while the regulatory mechanism of liver colonization of breast cancer remains largely unclear. Neutrophils are known to play important roles in metastatic colonization of cancer cells by formation of neutrophil extracellular traps (NETs). Here we show the role and mechanism of a subpopulation of Kupffer cells (KCs), the liver resident macrophages, in mediating tumoral induction of NETs and liver metastasis. NETs are activated more abundantly in liver metastases of breast cancer, as compared to metastases to other organs and primary tumors. Liver-tropic tumor cells induce CD62L-expressing KCs by a secretory protein DMBT1, and CD62L+ KCs activate neutrophils for NETosis via the chemokine CCL8. Inhibition of CCL8 or its receptor on neutrophils, CCR1, impairs NETosis and metastasis. In addition, we identified a KC membrane protein MUC1 that binds to DMBT1 and subsequently activates NFκB signaling of KCs, leading to CCL8 and CD62L expression. KC targeting with MUC1 inhibition effectively suppresses liver metastasis. Furthermore, a DMBT1 neutralizing antibody was developed with promise to inhibit tumor-KC interaction and treat metastatic cancer. In conclusion, our work reveals a KC subset that accounts for the liver tropism of breast cancer cells and NETs, and provides potential strategies in metastasis treatment.
DOI: 10.3535/364-q1j-jd3
title: Echinocoryne stricta (Gardner) H. Rob.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xtk-qsg-rtk
title: Filago arvensis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/prl-vam-1t8
title: Cedrela odorata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y0x-04c-q4z
title: Saussurea schanginiana (Wydler) Fisch. ex Herder

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/jnb2xp9m4r
title: EnglishTense: A large scale English texts dataset categorized into three categories: Past, Present, Future tenses.

description: he EnglishTense dataset is a comprehensive collection of English sentences meticulously categorized based on their tense: Past, Present, and Future. The dataset comprises a total of 13,316 annotated sentences with three distinct tense types: 4,621 in the present tense, 3,851 in the past tense, and 4,844 in the future tense. This dataset is designed to facilitate research and development in natural language processing (NLP) and computational linguistics, particularly for English, a widely spoken language in the world. With applications spanning tense detection, text classification, language modeling, and educational tools, EnglishTense is a valuable resource for the NLP community, facilitating advancements in temporal analysis and robust NLP model development.
DOI: 10.3535/bzj-j3v-bzt
title: Disynaphia spathulata (Hook. & Arn.) R. M. King & H. Rob.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gjx-dcs-agn
title: Jurinea viciosoi Pau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9lv-ec1-ghe
title: Hieracium racemosum Waldst. & Kit. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bmw-yq3-z2m
title: Periploca laevigata Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/jnb2xp9m4r.2
title: EnglishTense: A large scale English texts dataset categorized into three categories: Past, Present, Future tenses.

description: he EnglishTense dataset is a comprehensive collection of English sentences meticulously categorized based on their tense: Past, Present, and Future. The dataset comprises a total of 13,316 annotated sentences with three distinct tense types: 4,621 in the present tense, 3,851 in the past tense, and 4,844 in the future tense. This dataset is designed to facilitate research and development in natural language processing (NLP) and computational linguistics, particularly for English, a widely spoken language in the world. With applications spanning tense detection, text classification, language modeling, and educational tools, EnglishTense is a valuable resource for the NLP community, facilitating advancements in temporal analysis and robust NLP model development.
DOI: 10.3535/tgp-96h-25x
title: Potamogeton gramineus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/653-23q-yhg
title: Jurinea sharifiana Rech. fil. & Esfand.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pcb-2kf-91e
title: Lafoensia pacari A. St.-Hil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kz3-wac-wea
title: Torilis arvensis (Huds.) Link

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nh7-j00-mfz
title: Euphrasia salisburgensis Funck ex Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dk5-8f1-h03
title: Diplotaxis tenuifolia (L.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e79-snb-95b
title: Xylosma venosa N. E. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7jf-81l-jdq
title: Wissadula subpeltata (Kuntze) R. E. Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/99h-yv1-xz7
title: Smyrnium perfoliatum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/jxn2dvwwht
title: Dataset and trained weights for detecting signatures of seafloor hydrothermal activity at Higashi-Aogashima Knoll Caldera

description: This repository supplements the paper titled "AI-Based Acoustic Observation Applied to Exploration of Seafloor Hydrothermal Activities" submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
It contains a dataset and trained model weights for detecting hydrothermal emission signatures from Multi-beam Echo Sounder (MBES) images.

* The formatted description can be found in the 00_ReadMe.md, by using markdown viewer.

## (1) 01_Dataset.zip

This zip file contains MBES images (heatmaps) and the annotations for signatures of seafloor hydrothermal activity. MBES data were obtained by two research cruises as follows. File names of images indicate the time in JST (Japan Standard Time) when images were captured.

### Data Collection

MBES data were collected from the following surveys conducted during two research cruises.

#### [KM-22-11C]
- Survey on the known (Central Cone) site at 70-100 kHz.
- Grid survey within whole area of the caldera at 70-100 kHz.

#### [KM23-01]
- Survey on the known (Central Cone) site at 70-100, 50 or 40 kHz.

### Capturing

During KM22-11C, MBES images were captured using a software Bandicam (Bandicam Company). During KM23-01, images were captured by slightly modifying YOLO-v7 (https://github.com/WongKinYiu/yolov7)'s detection code. After capturing, unique images were selected by comparing difference with previously captured images.

### Annotation

Annotations of hydrothermal activity signatures were provided by one of the authors (K.M.), using a python program labelImg (https://github.com/HumanSignal/labelImg).

### Subset splitting

The images and annotation were randomly split into two subsets, 90% for subset "train" and 10% for subset "val".

### Augmentation

By random cropping, images and annotations from KM22-11C cruise were augmented 5 times, while those from KM23-01 cruise were augmented 10 times. Note that data augmentation was performed after splitting into subsets, which means that two subsets do not share original MBES images.

### Final number of images, label files and objects

Train: 2575 images, 2085 label files, 2110 objects annotated.
Val: 305 images, 270 label files, 270 objects annotated.

## (2) 02_Detection_model.zip
This zip file contains the following files.

### init.pt
The initial weights for training, which had been pre-trained on larger dataset for MBES detection (Mimura et al., 2022). The architecture YOLO-v7 (https://github.com/WongKinYiu/yolov7) was used in this work.

### best.pt
The best weights trained on the dataset ("01_Dataset.zip").

### hyp.yaml, opt.yaml
The detailed training parameter files formatted to yolo-v7.

## Reference
Mimura, K. and Nakamura, K. (2022), “Datasets for hydrothermal plume detection”, Mendeley Data, V1, http://doi.org/10.17632/dg2595f68b.1.
DOI: 10.3535/7cy-nz7-rls
title: Erysimum cheiranthoides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ss6-2q8-7ss
title: Carex songorica Kar. & Kir.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5dy-ftr-465
title: Gentianella Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g8r-y0e-wq6
title: Sida L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/jxn2dvwwht.1
title: Dataset and trained weights for detecting signatures of seafloor hydrothermal activity at Higashi-Aogashima Knoll Caldera

description: This repository supplements the paper titled "AI-Based Acoustic Observation Applied to Exploration of Seafloor Hydrothermal Activities" submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
It contains a dataset and trained model weights for detecting hydrothermal emission signatures from Multi-beam Echo Sounder (MBES) images.

* The formatted description can be found in the 00_ReadMe.md, by using markdown viewer.

## (1) 01_Dataset.zip

This zip file contains MBES images (heatmaps) and the annotations for signatures of seafloor hydrothermal activity. MBES data were obtained by two research cruises as follows. File names of images indicate the time in JST (Japan Standard Time) when images were captured.

### Data Collection

MBES data were collected from the following surveys conducted during two research cruises.

#### [KM-22-11C]
- Survey on the known (Central Cone) site at 70-100 kHz.
- Grid survey within whole area of the caldera at 70-100 kHz.

#### [KM23-01]
- Survey on the known (Central Cone) site at 70-100, 50 or 40 kHz.

### Capturing

During KM22-11C, MBES images were captured using a software Bandicam (Bandicam Company). During KM23-01, images were captured by slightly modifying YOLO-v7 (https://github.com/WongKinYiu/yolov7)'s detection code. After capturing, unique images were selected by comparing difference with previously captured images.

### Annotation

Annotations of hydrothermal activity signatures were provided by one of the authors (K.M.), using a python program labelImg (https://github.com/HumanSignal/labelImg).

### Subset splitting

The images and annotation were randomly split into two subsets, 90% for subset "train" and 10% for subset "val".

### Augmentation

By random cropping, images and annotations from KM22-11C cruise were augmented 5 times, while those from KM23-01 cruise were augmented 10 times. Note that data augmentation was performed after splitting into subsets, which means that two subsets do not share original MBES images.

### Final number of images, label files and objects

Train: 2575 images, 2085 label files, 2110 objects annotated.
Val: 305 images, 270 label files, 270 objects annotated.

## (2) 02_Detection_model.zip
This zip file contains the following files.

### init.pt
The initial weights for training, which had been pre-trained on larger dataset for MBES detection (Mimura et al., 2022). The architecture YOLO-v7 (https://github.com/WongKinYiu/yolov7) was used in this work.

### best.pt
The best weights trained on the dataset ("01_Dataset.zip").

### hyp.yaml, opt.yaml
The detailed training parameter files formatted to yolo-v7.

## Reference
Mimura, K. and Nakamura, K. (2022), “Datasets for hydrothermal plume detection”, Mendeley Data, V1, http://doi.org/10.17632/dg2595f68b.1.
DOI: 10.3535/27q-991-ywk
title: Chenopodium probstii Aellen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v47-csr-d95
title: Thrincia saxatilis (Lam.) Holub & Moravec

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hp9-fcb-nlm
title: Euphrasia hirtella Jord. ex Reut.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p8x-axc-c2c
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ejw-hpt-956
title: Gomphrena matogrossensis Suess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ke8-pmq-awn
title: Tachigali vulgaris L.F.Gomes da Silva & H.C.Lima

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3xs-l3j-qhq
title: Myrcia myrtillifolia DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b3y-jwf-39s
title: Sclerochloa dura (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.jykdn7
title: Occurrence Download

description: A dataset containing 132067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myophonus caeruleus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 132067 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062006-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/n5x-tx5-3dh
title: Milium vernale M.Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sks-2p8-sgx
title: Bernardia Houst. ex Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.nyp84d
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062038-250717081556266/datasets/export for details.
DOI: 10.3535/2f9-exh-38e
title: Isopyrum thalictroides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bff-zce-j9c
title: Chenopodium probstii Aellen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5mp-hak-yn8
title: Moussonia rupicola (Standl. & L. O. Williams) Wiehler

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9z4-hwj-byy
title: Elymus L.

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