cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5205683
title: trwiki-67

description: <strong>trwiki-67 dataset</strong> <strong>trwiki-67</strong> is a language modeling dataset that contain 67 million words of raw wikipedia articles. It can be utilized as a benchmark for different language modeling tasks on character, subword, or word level. This dataset was extracted from a Turkish wikipedia dump on 20 July 2021. <strong>Preprocessing</strong> All lists and tables were removed from the articles, and the initial extraction from .xml dump was done using wikiextractor: Additionally, further preprocessing was applied to get rid of redundant text. Only raw text with the titles of the articles were kept in their cased format (with no upper/lower case transformations). Article titles were included in text using this format `== TITLE ==`. And articles are seperated by empty lines. Raw example: <pre><code class="language-markdown">== NGC 1710 == NGC 1710, Yeni Genel Katalog'da yer alan bir galaksidir. Gökyüzünde Aslan takımyıldızı yönünde bulunur. E-S0 tipi bir merceksi, eliptik galaksidir. Amerikan astronom Francis Leavenworth tarafından 1885 yılında 66,04 cm (26 inç) çaplı mercekli tip bir teleskopla keşfedilmiştir. == Şenol Gürşan == Şenol Gürşan, (d. 17 Ekim 1964, Pınarhisar, Kırklareli) Türk avukat ve siyasetçi. İstanbul Üniversitesi Hukuk Fakültesi'ni bitirmiş ve serbest avukat olarak çalışmıştır. Kırklareli İlim Yayma Cemiyeti Kuruculuğu ve Başkanlığı görevlerinde bulunmuştur. 2009 yılında Adalet ve Kalkınma Partisi Kırklareli il yönetim kurulu üyesi olmuş, TBMM 24. dönem AK Parti Kırklareli milletvekili, Türkiye-Polonya Dostluk Grubu Başkanı ve TBMM KİT Komisyonu Sözcüsü olmuştur. Gelecek Partisi Kurucular Kurulu üyesi olup aynı zamanda partinin genel sekreteridir. İyi düzeyde Almanca bilen Gürşan, evli ve 2 çocuk babasıdır. == Bovenau == Bovenau Almanya'nın kuzeyinde Schleswig-Holstein eyaletinde, Rendsburg-Eckernförde iline bağlı bölge. Rendsburg'un 10 km. doğusunda yer alır. 26,2 km² yüzölçümüne sahiptir. Nüfusu, 17 Temmuz 2006 itibarıyla yaklaşık 1098 olarak tespit edilmiştir. Belediye Başkanlığı Jürgen Liebsch tarafından yürütülmektedir.</code></pre> <strong>Tokenization</strong> We train a sentencepiece tokenizer using tokenizers with 32K vocabulary size. Tokenized example: <pre><code>▁alper ▁narman &lt;EOS&gt; ▁alper ▁narman ▁ , ▁türk ▁şarkı ▁yazarı ▁ . ▁narman ▁ , ▁bugün e ▁kadar ▁hande ▁yener ▁ , ▁simge ▁sağ ın ▁ , ▁ayşe ▁hatun ▁önal ▁ , ▁ e dis ▁ , ▁ emel ▁ müftüoğlu ▁ , ▁hadise ▁ , ▁ i zel ▁ve ▁ışın ▁karaca ▁gibi ▁pek ▁çok ▁türk ▁pop ▁müziği ▁şarkıcısı yla ▁çalıştı ▁ . ▁ 2 ▁ 0 ▁ 0 ▁ 0 ▁ ' ▁ lerde ▁birçok ▁eserini ▁ fettah ▁can ▁ile ▁birlikte ▁yazı p ▁besteler ken ▁ 2 ▁ 0 ▁ 1 ▁ 0 ▁ ' ▁ larda ▁onur r ▁ile ▁birlikte ▁ortak ▁ işlere ▁imza ▁attı &lt;EOS&gt; &lt;EOS&gt; ▁namı k ▁kemal ▁ , ▁ nizi p &lt;EOS&gt; ▁namı k ▁kemal ▁ , ▁gaziantep ▁ilinin ▁ nizi p ▁ilçesine ▁bağlı ▁bir ▁mahalle dir &lt;EOS&gt; &lt;EOS&gt;</code></pre> <strong>Contact</strong> Ali Safaya (alisafaya at gmail dot com).
DOI: 10.34740/kaggle/dsv/2530782
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.15173055
title: The underlying data of transdifferentiation of human peripheral blood CD34+ cells into mature cardiomyocyte-like cells using micro RNA-1 research.

description: This project contains the following underlying data:Data file 1. Raw Ct values for all RT-qPCR resultsData file 2. Cardiac troponin positive cell countsData file 3. Immunocytochemistry and immunofluorescence images.<br>
DOI: 10.6084/m9.figshare.15173055.v1
title: The underlying data of transdifferentiation of human peripheral blood CD34+ cells into mature cardiomyocyte-like cells using micro RNA-1 research.

description: This project contains the following underlying data:Data file 1. Raw Ct values for all RT-qPCR resultsData file 2. Cardiac troponin positive cell countsData file 3. Immunocytochemistry and immunofluorescence images.<br>
DOI: 10.6084/m9.figshare.15173082
title: Supplementary Material for: Regulation of miR-126 and miR-122 Expression and Response of Imatinib Treatment on Its Expression in Chronic Myeloid Leukemia Patients

description: <b><i>Background:</i></b> MicroRNAs (miRNAs) have been observed to exhibit altered expression patterns in chronic myeloid leukemia (CML). Therefore, this study was aimed to evaluate the clinical importance of miR-126 and miR-122 expression in concert to imatinib response in CML patients. <b><i>Methods:</i></b> The present study included 100 CML and 100 healthy subjects. The expression of the 2 miRNAs was performed using TaqMan probe chemistry, and snU6 was used as internal control. <b><i>Results:</i></b> The expression of miR-126 and miR-122 was downregulated in CML patients, with a mean fold change ± SD 0.20 ± 0.33 and 0.22 ± 0.37, respectively. While the expression of both miRNAs was analysed before and after imatinib treatment, it was observed that the expression levels of both were increased after imatinib treatment by 26.25-fold (5.33 against 0.20) and 13.95-fold (3.07 against 0.22) and the increase was statistically significant (<i>p</i> &lt; 0.0001 and <i>p</i> &lt; 0.0001, respectively). The expression of miR-126 was not conclusive when compared in different clinical stages of the CML disease as it showed a decreased expression in patients with accelerated phase compared to chronic phase (mean fold change = 0.03 and 0.27, respectively), but patients with chronic phase and blastic phase had comparable expression (mean fold change = 0.27 and 0.24, respectively). We also observed an increased expression of both miRNAs after imatinib therapy in each clinical phase. <b><i>Conclusion:</i></b> The study concludes that expression of miR-126 and miR-122 increases after imatinib treatment in CML patients and that miR-126 defines the good responders of imatinib therapy.
DOI: 10.34740/kaggle/dsv/2530812
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc27gszh
title: CCDC 2069807: Experimental Crystal Structure Determination

description: Related Article: Joseph A. Zurakowski, Brady J. H. Austen, Marcus W. Drover|2021|Organometallics|40|2450|doi:10.1021/acs.organomet.1c00194
DOI: 10.5281/zenodo.5119957
title: High-resolution BIOCLIM and ENVIREM grids for Europe in consecutive 100-year bins spanning the last 21,000 years

description: Here, I provide a dataset of gridded climatic variables at a spatial resolution of 30 arc-seconds for 210 consecutive 100-year bins spanning the period from 21,000 to 0 BP. The dataset includes 19 bioclimatic and 16 ENVIREM variables (described by Title & Bemmels, 2018) commonly used in species distribution modelling. It covers the European continent and adjacent regions within the following boundaries: 32.5°W–70°E and 32.5°N–82.5°N. For each 100-year bin, bioclimatic and ENVIREM variables were calculated based on the downscaled and debiased monthly temperature and precipitation simulations of the Community Climate System Model version 3 (CCSM3; Collins et al., 2006) as provided by the PaleoView software (Fordham et al., 2017). The downscaling procedure was based on the delta-change method (Ramirez Villejas & Jarvis, 2010). As a baseline climatic data, I used monthly temperature and precipitation grids from the CHELSA database for 1940–1989 (Karger et al., 2017). A detailed description of the dataset, including the downscaling method applied, can be found in the Technical specification attached to this dataset.
description: {"references": ["Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C. S., Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., Kiehl, J. T., Large, W. G., McKenna, D. S., Santer, B. D., & Smith, R. D. (2006). The Community Climate System Model Version 3 (CCSM3). Journal of Climate, 19(11), 2122\u20132143. https://doi.org/10.1175/JCLI3761.1", "Fordham, D. A., Saltr\u00e9, F., Haythorne, S., Wigley, T. M. L., Otto\u2010Bliesner, B. L., Chan, K. C., & Brook, B. W. (2017). PaleoView: A tool for generating continuous climate projections spanning the last 21 000 years at regional and global scales. Ecography, 40(11), 1348\u20131358. https://doi.org/10.1111/ecog.03031", "Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122", "Ramirez Villejas, J., & Jarvis, A. (2010). Downscaling global circulation model outputs: The delta method. Decision and Policy Analysis Working Paper No. 1. International Center for Tropical Agriculture (CIAT). Cali. CO.", "Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41(2), 291\u2013307. https://doi.org/10.1111/ecog.02880"]}
DOI: 10.34881/1.00008
title: Íslenska kosningarannsóknin 2009
title: The Icelandic National Elections Study 2009

description: Íslenska kosningarannsóknin er viðamikil rannsókn þar sem lagðar eru fyrir spurningar um kosninga- og stjórnmálahegðun íslenskra kjósenda. Meðal rannsóknarefna eru til dæmis kosningahegðun, afstaða kjósenda til stjórnmálaflokka, afstaða til lýðræðis, hvað kjósendur telja vera mikilvægustu verkefnin á vettvangi stjórnmála, þátttöku þeirra í prófkjörum og margvísleg önnur málefni á vettvangi stjórnmála. Íslenska kosningarannsóknin er hluti af Nordic Electoral Democracy (NED) sem er norrænt samstarf um lýðræði og kosningar; Comparative Studies of Electoral Systems (CSES) og True European Voter (TEV) sem eru hvoru tveggja alþjóðalegt samstarf um kosningarannsóknir.
DOI: 10.5281/zenodo.5205750
title: Post-War Pathways of Foreign Fighters from the Croatian War (1991--1995) Dataset

description: This dataset is a part of project 798392 - MPP funded by Marie-Sklodowska Curie Actions Individual Fellowship, a scholarly grant awarded by the European Commission to Dr Milos Popovic as the principal investigator(PI). In total, the dataset includes information on 25 individuals who fought in the Croatian war (1991–1995)as foreign volunteers based on in-person interviews conducted between August 2020 and August 2021 in Croatia and online. It is by no means the universe of cases or a representative sample. The overarching aim of this research is to collect war memories for scientific and archival purposes. All the interviews were set up and carried out by Tomislav Šulj a historian at the Croatian Homeland War Memorial Documentation Centre (https://centardomovinskograta.hr/). The interviewer adhered to a code of conduct approved by Leiden University and the European Commission. First, any participation in the interview was completely voluntary and the participants had the right to refuse participation or any question at any stage or withdraw at any time without any consequence whatsoever while preserving their anonymity. Second, potential interviewees were given a detailed study guidebook beforehand, including the description, aim and anonymity/confidentiality clauses. Third, the interviewees were asked to sign their consent to the use of interview data for scientific purposes, including the production of this dataset. Interviewees were also informed that their anonymity would be broken only under extraordinary circumstances when there is a serious risk of harm or danger to either the interviewer, interviewee or another individual (e.g. physical, emotional or sexual abuse, concerns for child protection, rape, self-harm, suicidal intent or criminal activity) or if a crime was committed. All the conversations were audio-recorded upon the interviewee’s explicit consent. Every signed consent form was scanned and placed together with Dr Popovic’s original audio recording of the interview. There are two copies of the interview notes and audio recordings. One copy is stored in an encrypted folder on Dr Popovic’s personal and office computer at the Institute of Security and Global Affairs in the Hague until after Dr Popovic’s project has ended on September 1, 2021. The second copy is stored and archived at the CroatianHomeland War Memorial Documentation Centre and, following the authorization of the interview transcript, used for research on the Croatian Homeland War. Under the provisions of the General Data Protection Regulation (EU) 2016/679 (GDPR), every interviewee is entitled to access the information they have provided at any time.
DOI: 10.5281/zenodo.5205749
title: Post-War Pathways of Foreign Fighters from the Croatian War (1991--1995) Dataset

description: This dataset is a part of project 798392 - MPP funded by Marie-Sklodowska Curie Actions Individual Fellowship, a scholarly grant awarded by the European Commission to Dr Milos Popovic as the principal investigator(PI). In total, the dataset includes information on 25 individuals who fought in the Croatian war (1991–1995)as foreign volunteers based on in-person interviews conducted between August 2020 and August 2021 in Croatia and online. It is by no means the universe of cases or a representative sample. The overarching aim of this research is to collect war memories for scientific and archival purposes. All the interviews were set up and carried out by Tomislav Šulj a historian at the Croatian Homeland War Memorial Documentation Centre (https://centardomovinskograta.hr/). The interviewer adhered to a code of conduct approved by Leiden University and the European Commission. First, any participation in the interview was completely voluntary and the participants had the right to refuse participation or any question at any stage or withdraw at any time without any consequence whatsoever while preserving their anonymity. Second, potential interviewees were given a detailed study guidebook beforehand, including the description, aim and anonymity/confidentiality clauses. Third, the interviewees were asked to sign their consent to the use of interview data for scientific purposes, including the production of this dataset. Interviewees were also informed that their anonymity would be broken only under extraordinary circumstances when there is a serious risk of harm or danger to either the interviewer, interviewee or another individual (e.g. physical, emotional or sexual abuse, concerns for child protection, rape, self-harm, suicidal intent or criminal activity) or if a crime was committed. All the conversations were audio-recorded upon the interviewee’s explicit consent. Every signed consent form was scanned and placed together with Dr Popovic’s original audio recording of the interview. There are two copies of the interview notes and audio recordings. One copy is stored in an encrypted folder on Dr Popovic’s personal and office computer at the Institute of Security and Global Affairs in the Hague until after Dr Popovic’s project has ended on September 1, 2021. The second copy is stored and archived at the CroatianHomeland War Memorial Documentation Centre and, following the authorization of the interview transcript, used for research on the Croatian Homeland War. Under the provisions of the General Data Protection Regulation (EU) 2016/679 (GDPR), every interviewee is entitled to access the information they have provided at any time.
DOI: 10.34881/1.00009
title: Íslenska kosningarannsóknin 2013
title: The Icelandic National Elections Study 2013

description: Íslenska kosningarannsóknin er viðamikil rannsókn þar sem lagðar eru fyrir spurningar um kosninga- og stjórnmálahegðun íslenskra kjósenda. Meðal rannsóknarefna eru til dæmis kosningahegðun, afstaða kjósenda til stjórnmálaflokka, afstaða til lýðræðis, hvað kjósendur telja vera mikilvægustu verkefnin á vettvangi stjórnmála, þátttöku þeirra í prófkjörum og margvísleg önnur málefni á vettvangi stjórnmála. Íslenska kosningarannsóknin er hluti af Nordic Electoral Democracy (NED) sem er norrænt samstarf um lýðræði og kosningar; Comparative Studies of Electoral Systems (CSES) og True European Voter (TEV) sem eru hvoru tveggja alþjóðalegt samstarf um kosningarannsóknir.
DOI: 10.5281/zenodo.5205756
title: Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: Strengths and challenges

description: The water body detection and mapping algorithm named 'glakemap' that I designed was aimed at specifically mapping glacial lakes across alpine regions where their detection and mapping are challenged by many factors such as shadows, cloud cover, turbidity, and ice surface. The algorithm uses Copernicus Sentinel-1 and -2 satellites data and machine learning model (random forest) in an integrated manner to automatically classify glacial lakes from other surface features. In specific, the algorithm takes Sentinel-1 and -2 satellites data as the main inputs. It calculates radar backscatter and Normalised Difference Water Indices (NDWIs) using these datasets, respectively. The radar backscatter and NDWIs products (images) are segmented using a set of rules producing many polygons including lake polygons. Lake polygons are then automatically separated/retained using the random forest model which is trained using features relevant to lakes. The dataset is also available at https://www.mountcryo.org/
DOI: 10.5281/zenodo.5205755
title: Mapping of glacial lakes using Sentinel-1 and Sentinel-2 data and a random forest classifier: Strengths and challenges

description: The water body detection and mapping algorithm named 'glakemap' that I designed was aimed at specifically mapping glacial lakes across alpine regions where their detection and mapping are challenged by many factors such as shadows, cloud cover, turbidity, and ice surface. The algorithm uses Copernicus Sentinel-1 and -2 satellites data and machine learning model (random forest) in an integrated manner to automatically classify glacial lakes from other surface features. In specific, the algorithm takes Sentinel-1 and -2 satellites data as the main inputs. It calculates radar backscatter and Normalised Difference Water Indices (NDWIs) using these datasets, respectively. The radar backscatter and NDWIs products (images) are segmented using a set of rules producing many polygons including lake polygons. Lake polygons are then automatically separated/retained using the random forest model which is trained using features relevant to lakes. The dataset is also available at https://www.mountcryo.org/
DOI: 10.15468/fjr9uh
title: Three new species of Cosmetidae C. L. Koch, 1839 from South America (Opiliones Cosmetidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pinzón, Conchita, Damron, Brittany, Pinto-Da-Rocha, Ricardo (2021): Three new species of Cosmetidae C. L. Koch, 1839 from South America (Opiliones Cosmetidae). Zootaxa 4984 (1): 203-217, DOI: https://doi.org/10.11646/zootaxa.4984.1.16
DOI: 10.34881/1.00010
title: Íslenska kosningarannsóknin 2016
title: The Icelandic National Elections Study 2016

description: Íslenska kosningarannsóknin er viðamikil rannsókn þar sem lagðar eru fyrir spurningar um kosninga- og stjórnmálahegðun íslenskra kjósenda. Meðal rannsóknarefna eru til dæmis kosningahegðun, afstaða kjósenda til stjórnmálaflokka, afstaða til lýðræðis, hvað kjósendur telja vera mikilvægustu verkefnin á vettvangi stjórnmála, þátttöku þeirra í prófkjörum og margvísleg önnur málefni á vettvangi stjórnmála. Íslenska kosningarannsóknin er hluti af Nordic Electoral Democracy (NED) sem er norrænt samstarf um lýðræði og kosningar; Comparative Studies of Electoral Systems (CSES) og True European Voter (TEV) sem eru hvoru tveggja alþjóðalegt samstarf um kosningarannsóknir.
DOI: 10.5281/zenodo.4479681
title: The genome of a nonphotosynthetic diatom provides insights into the metabolic shift to heterotrophy and constraints on the loss of photosynthesis

description: Data associated with: Onyshchenko et al. 2021. The genome of a nonphotosynthetic diatom provides insights into the metabolic shift to heterotrophy and constraints on the loss of photosynthesis. New Phytologist. Contents include: <em>Nitzschia</em> Nitz4 genome sequence and annotation OrthoFinder inputs and outputs CAFE inputs and outputs Transcriptome assemblies Variant calling results Use the command `tar -zxvf nitzschia.tgz` to unpack the archive.
DOI: 10.5281/zenodo.4479680
title: The genome of a nonphotosynthetic diatom provides insights into the metabolic shift to heterotrophy and constraints on the loss of photosynthesis

description: Data associated with: Onyshchenko et al. 2021. The genome of a nonphotosynthetic diatom provides insights into the metabolic shift to heterotrophy and constraints on the loss of photosynthesis. New Phytologist. Contents include: <em>Nitzschia</em> Nitz4 genome sequence and annotation OrthoFinder inputs and outputs CAFE inputs and outputs Transcriptome assemblies Variant calling results Use the command `tar -zxvf nitzschia.tgz` to unpack the archive.
DOI: 10.15468/35atgb
title: First record of Travunioidea (Arachnida: Opiliones: Laniatores) from China, with the description of a new monotypic genus from a cave

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Chao, Derkarabetian, Shahan (2021): First record of Travunioidea (Arachnida: Opiliones: Laniatores) from China, with the description of a new monotypic genus from a cave. Zootaxa 4984 (1): 87-97, DOI: https://doi.org/10.11646/zootaxa.4984.1.8
DOI: 10.6084/m9.figshare.15142431
title: Phenotype files for narrow-sense heritability estimation

description: Phenotype files for individuals from the Spring experiment (50pen1.csv) and from the Summer experiment (50pen2.csv).Animal = animal IDFamily = VIMS familyReplicate = replicate basketTank = tank numberSireID and Dam ID = father and mother IDLength = height (mm)DayDead = day of death in the experiment, NA = survived<br>Survival = 1 = dead, 0 = alive
DOI: 10.6084/m9.figshare.15142431.v1
title: Phenotype files for narrow-sense heritability estimation

description: Phenotype files for individuals from the Spring experiment (50pen1.csv) and from the Summer experiment (50pen2.csv).Animal = animal IDFamily = VIMS familyReplicate = replicate basketTank = tank numberSireID and Dam ID = father and mother IDLength = height (mm)DayDead = day of death in the experiment, NA = survived<br>Survival = 1 = dead, 0 = alive
DOI: 10.6084/m9.figshare.15142464
title: Phenotype file for genetic correlation

description: Combined phenotype data for both exposure experiments. All Animal IDs are present in the AllPedigree.csv pedigree file.Animal = animal IDFamily = VIMS familyReplicate = replicate basket Tank = tank numberSireID and DamID = father and mother IDLength = individual height (mm)Day dead = day of death in the experiment, NA = aliveSurvival = 1 - dead, 0 - alive
DOI: 10.6084/m9.figshare.15142545
title: Code for Simulation

description: R Markdown file containing annotated code for the heritability simulation.
DOI: 10.6084/m9.figshare.15143799
title: Narrow-sense heritability and genetic correlation code

description: Code for running the ecological animal model in ASRemlR and MCMCglmm for a binary trait (survival).
DOI: 10.6084/m9.figshare.15143799.v1
title: Narrow-sense heritability and genetic correlation code

description: Code for running the ecological animal model in ASRemlR and MCMCglmm for a binary trait (survival).
DOI: 10.5281/zenodo.5205837
title: ObstacleTrack-images

description: validation labels, validation + test images, and sources for the Obstacle track of segmentmeifyoucan.com
description: Robin Chan and Svenja Uhlemeyer acknowledge funding by the German Federal Ministry for Economic Affairs and Energy, within the projects "KI Absicherung", grant no. 19A19005R, and "KI Delta Learning", grant no. 19A19013Q, respectively. We thank the consortiums for the successful cooperation. We would also like to thank the "BUW-KI" team who substantially contributed to collecting and labeling of data.