cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh3351084.08fu
title: SH3351084.08FU

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: 10.15156/bio/sh3351085.08fu
title: SH3351085.08FU

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: 10.15156/bio/sh3351086.08fu
title: SH3351086.08FU

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: 10.7910/dvn/grpjhb/iib1jl
title: t19500126577986.txt

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DOI: 10.7910/dvn/grpjhb/c6zmge
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title: t19760817924212.txt

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DOI: 10.7910/dvn/grpjhb/znlkb7
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DOI: 10.7910/dvn/grpjhb/gdpdya
title: t19771205377032.txt

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DOI: 10.7910/dvn/grpjhb/m8fcmv
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DOI: 10.7910/dvn/grpjhb/y4b1qw
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DOI: 10.7910/dvn/grpjhb/mbgrvq
title: t19730103301381.txt

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DOI: 10.7910/dvn/grpjhb/stjwtg
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DOI: 10.7910/dvn/grpjhb/qmge8p
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DOI: 10.7910/dvn/grpjhb/a0bmkc
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DOI: 10.7910/dvn/grpjhb/jhic2i
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DOI: 10.7910/dvn/grpjhb/ipemdr
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DOI: 10.7910/dvn/grpjhb/0tq6qn
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DOI: 10.7910/dvn/grpjhb/oviioq
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DOI: 10.7910/dvn/grpjhb/kjvp2b
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DOI: 10.7910/dvn/grpjhb/awgdc6
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DOI: 10.7910/dvn/grpjhb/615tuu
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DOI: 10.7910/dvn/grpjhb/zhkolz
title: t19710815610050.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/07dspx
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DOI: 10.7910/dvn/grpjhb/z0bw7q
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DOI: 10.7910/dvn/grpjhb/1dflzb
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DOI: 10.7910/dvn/grpjhb/f6qcoc
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DOI: 10.7910/dvn/grpjhb/drlyp3
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description: :unav
DOI: 10.7910/dvn/grpjhb/lgrumo
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DOI: 10.7910/dvn/grpjhb/gbpqh9
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DOI: 10.7910/dvn/grpjhb/tqvj1w
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DOI: 10.7910/dvn/grpjhb/hfyasx
title: t19481223488736.txt

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title: t19730120969938.txt

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DOI: 10.7910/dvn/grpjhb/5nrilw
title: t19660928611133.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/qhjvj0
title: t19700904719314.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/wisn32
title: t19720619498298.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/kowsqj
title: t19710826215128.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/dn7pb9
title: t19750627628484.txt

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DOI: 10.7910/dvn/grpjhb/inx5hq
title: t19710928475117.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/eow8x3
title: t19690807919823.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/armtyw
title: t19711128178029.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/l5csap
title: t19690930615835.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/vmdyzz
title: t19670918791193.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/p3gajz
title: t19590831566312.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/vkw5bv
title: t19490308606687.txt

description: :unav
DOI: 10.14457/cu.the.2011.2209
title: การสำรวจปัจจัยทางด้านสังคมและสิ่งแวดล้อมที่เกื้อหนุนต่อพฤติกรรมการจัดการดูแลตนเองของผู้ป่วยโรคเบาหวานชนิดที่ 2 ในโรงพยาบาลของรัฐ และศูนย์บริการสาธารณสุขในกรุงเทพมหานคร
DOI: 10.7910/dvn/grpjhb/iz7v1r
title: t19630822329688.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/g5p9id
title: t19760303271837.txt

description: :unav
DOI: 10.14457/cu.the.2016.27
title: การควบคุมเหนือพันธุกรรมของยีน Nrf2 โดยอนุพันธ์ออกซิเจนที่ว่องไวต่อการลุกลามของมะเร็งตับ
DOI: 10.7910/dvn/grpjhb/zualqo
title: t19760407658332.txt

description: :unav
DOI: 10.14457/cu.the.2014.1439
title: ความสัมพันธ์ระหว่างความหลากหลายทางพันธุกรรมของยีน CYP3A5 และ POR กับขนาดยาทาโครลิมุสในผู้ป่วยปลูกถ่ายไตคนไทย
DOI: 10.7910/dvn/grpjhb/7d2sis
title: t19480102110677.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/6kewd8
title: t19560908755961.txt

description: :unav
DOI: 10.14457/cu.the.2016.28
title: ความสัมพันธ์ของวิตามินดีกับความหนาแน่นกระดูกและภาวะพังผืดในตับผู้ป่วยโรคท่อน้ำดีตีบตัน
DOI: 10.7910/dvn/grpjhb/br1mxp
title: t19710202900976.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/tjnovn
title: t19780101854084.txt

description: :unav
DOI: 10.14457/cu.the.2017.80
title: ผลของโปรแกรมการสร้างแรงจูงใจร่วมกับการออกกำลังกายต่อความดันโลหิตของกลุ่มเสี่ยงโรคความดันโลหิตสูง
DOI: 10.7910/dvn/grpjhb/kqli5h
title: t19670907755179.txt

description: :unav
DOI: 10.14457/cu.the.2016.29
title: การทำแห้งข้าวเปลือกในปฏิกรณ์เมมเบรนไคโตซาน
DOI: 10.7910/dvn/grpjhb/3ivamr
title: t19691001297756.txt

description: :unav
DOI: 10.14457/cu.the.2018.16
title: รูปแบบการบริหารจัดการนิสิตนักศึกษาข้ามเพศในสถาบันอุดมศึกษาไทย
DOI: 10.7910/dvn/grpjhb/xaccr7
title: t19530625431129.txt

description: :unav
DOI: 10.7910/dvn/grpjhb/h4aoyy
title: t19741123645967.txt

description: :unav
DOI: 10.14457/cu.res.2002.34
title: การศึกษาการแสดงออกของยีน scavenger receptor, LOX-1, ใน endothelial cell ที่ได้รับเชื้อ Herpers Simplex Virus type I
DOI: 10.7910/dvn/grpjhb/pzvell
title: t19750313908553.txt

description: :unav
DOI: 10.14457/cu.res.2003.53
title: การศึกษาความหลากหลายทางพันธุกรรมของไวรัสพีอาร์อาร์เอสในสุกร ในประเทศไทย
DOI: 10.14457/cu.res.2003.54
title: b การศึกษาผลึกศาสตร์โดยใช้รังสีเอกซ์ของการจำได้เชิงโมเลกุลของ C60 กับสารอะโรมาติกไฮโดรคาร์บอน
DOI: 10.5281/zenodo.3267183
title: Automotive CAN bus data: An Example Dataset from the AEGIS Big Data Project

description: Here you find an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected during trips conducted by three drivers driving the same vehicle in Austria. The dataset contains 20Hz sampled CAN bus data from a passenger vehicle, e.g. WheelSpeed FL (speed of the front left wheel), SteerAngle (steering wheel angle), Role, Pitch, and accelerometer values per direction. GPS data from the vehicle (see signals 'Latitude_Vehicle' and 'Longitude_Vehicle' in h5 group 'Math') and GPS data from the IMU device (see signals 'Latitude_IMU', 'Longitude_IMU' and 'Time_IMU' in h5 group 'Math') are included. However, as it had to be exported with single-precision, we lost some precision for those GPS values. For data analysis we use R and R Studio (https://www.rstudio.com/) and the library h5. e.g. check file with R code: library(h5) f &lt;- h5file("file path/20181113_Driver1_Trip1.hdf") summary(f["CAN/Yawrate1"][,]) summary(f["Math/Latitude_IMU"][,]) h5close(f)
DOI: 10.7910/dvn/grpjhb/s6yc4l
title: metadata.tab

description: Metadata of the dataset
DOI: 10.7910/dvn/grpjhb/hutfrn
title: t19750403551737.txt

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DOI: 10.7910/dvn/grpjhb/hrp3hz
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description: Metadata of the dataset
DOI: 10.21227/cjb5-n039
title: Dataset of Indian and Thai Banknotes

description: Recognition and classification of currency is one of the important task. It is a very crucial task for visually impaired people. It helps them while doing day to day financial transactions with shopkeepers while traveling, exchanging money at banks, hospitals, etc. The main objectives to create this dataset were: 1) Create a dataset of old and new Indian currency. 2) Create a dataset of Thai Currency. 3) Dataset consists of high-quality images.We have used mobile phones rear camera to take the images of Indian and Thai banknotes. The processed image dataset consists of 2900 images (1900 images of Indian banknotes and 1000 images of Thai banknotes). The processed dataset consists of 10 classes namely 10 New, 10 Old, 20, 50 New, 50 Old, 100 New, 100 Old, 200, 500, 2000 of Indian banknotes and 5 classes namely 20, 50, 100, 500, and 2000 for Thai banknotes. The images were taken at the different backgrounds and in different lighting conditions, in the cluttered background, and also the images of folded banknotes are taken. This dataset is very useful for researchers who are working in currency detection and recognition.
DOI: 10.21227/yx83-7a67
title: Dataset of Indian and Thai Banknotes

description: Recognition and classification of currency is one of the important task. It is a very crucial task for visually impaired people. It helps them while doing day to day financial transactions with shopkeepers while traveling, exchanging money at banks, hospitals, etc. The main objectives to create this dataset were: 1) Create a dataset of old and new Indian currency. 2) Create a dataset of Thai Currency. 3) Dataset consists of high-quality images.We have used mobile phones rear camera to take the images of Indian and Thai banknotes. The processed image dataset consists of 2900 images (1900 images of Indian banknotes and 1000 images of Thai banknotes). The processed dataset consists of 10 classes namely 10 New, 10 Old, 20, 50 New, 50 Old, 100 New, 100 Old, 200, 500, 2000 of Indian banknotes and 5 classes namely 20, 50, 100, 500, and 2000 for Thai banknotes. The images were taken at the different backgrounds and in different lighting conditions, in the cluttered background, and also the images of folded banknotes are taken. This dataset is very useful for researchers who are working in currency detection and recognition.
DOI: 10.5281/zenodo.3840977
title: SPEC CPU 2017 Benchmark Suite Results for the HPE ProLiant DL385 Gen10 server

description: Benchmark results for the SPEC CPU 2017 benchmark suite with the full power and temperature data. Data is collected on a state-of-the-art HPE ProLiant DL385 Gen10 server. Results contain two full runs of the SPEC CPU 2017 benchmark suite. One result set of all four benchmark suites with compiler optimizations matching official results and a second set with moderate, real-world, compiler settings.