cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vjdwgb65xb.1
title: NASA SLS-1 and SLS-2 Rat Datasets

description: The decision to reanalyze research from SLS-1 and SLS-2 was made on broader methodological questions on data engineering principles and research gaps about biology in spaceflight. Our methods are intended to facilitate the data organization of older spaceflight studies to perform further studies without the impediment of spaceflight experimentation costs and time. We developed a pipeline that could be applied to other studies of similar nature to use its results to bridge differences between space life science experiments. It’s a form of systematically updating previous reviews and giving more power and purpose to older legacy data. After testing our methods with datasets from the SLS Missions, we successfully wrote code that produces a programmable data frame that creates accurate and logical plots that may be used for spaceflight data reanalysis. 
The beauty of this longform data structure lies in its ability to compare multiple datasets from different experiments and tissues to generate new conclusions. Since all the measurements are stacked in one column, we can use the data frame’s simple nature to select with code which rows encompass our dataset and assign it to a variable to produce a plot. Essentially, we can choose an interesting physiological relationship that is readily available in our data frame and produce a plot to visualize how it may behave beside another dataset on a different tissue that shares the same experimental parameters. Different types of graphs, including box plots, pie charts, x/y line plots, bar graphs and more can be incorporated and automated into the code through py-matplotlib with just an input of the rows that will be used. It is exciting to be able to play around with organized and understandable datasets and visually discover interesting directions the data may take.
DOI: 10.17632/h7mb2vzx54.2
title: Data for: A Functional Near-infrared Spectroscopy Investigation of Item-method Directed Forgetting

description: Behavioural and fNIRS data.
Data 1 shows the memory recognition accuracies for TBR and TBF words, and the false alarm (FA) for new words from 16 participants. Specifically, the participant column shows the serial number of participants; the age column shows the ages of participants; the TBF and TBR columns show the recognition memory performance of TBR and TBF words for each participant; the FA column shows the FA of new words for each participant.
Data 2 shows the oxy-Hb levels time-locked to cue onset (four types of cues: TBF-f, TBF-r, TBR-f, and TBR-r cues) during the 0–4 s time window in 12 channels (Ch53, Ch54, Ch9, Ch32, Ch2, Ch38, Ch20, Ch44, Ch22, Ch46, Ch25, and Ch48). Specifically, the participant column shows the serial number of participants; the TBF-F-Ch53 column shows the oxy-Hb levels triggered by TBF-F cues in Ch53 for each participant; Similarly, the remaining columns in turn show the oxy-Hb levels triggered by TBF-F cues in the Ch54, Ch9, Ch32, Ch2, Ch38, Ch20, Ch44, Ch22, Ch46, Ch25, and Ch48, and the oxy-Hb levels triggered by TBF-r, TBR-f, and TBR-r cues in the Ch53, Ch54, Ch9, Ch32, Ch2, Ch38, Ch20, Ch44, Ch22, Ch46, Ch25, and Ch48 for each participant.
Data 3 shows the oxy-Hb levels time-locked to cue onset (four types of cues: TBF-f, TBF-r, TBR-f, and TBR-r cues) during the 5–9 s time window in 12 channels (Ch53, Ch54, Ch9, Ch32, Ch2, Ch38, Ch20, Ch44, Ch22, Ch46, Ch25, and Ch48). Other columns settings were identical to Data 2.
Data 4 shows the oxy-Hb levels time-locked to cue onset (four types of cues: TBF-f, TBF-r, TBR-f, and TBR-r cues) during the 9–11 s time window in 12 channels (Ch53, Ch54, Ch9, Ch32, Ch2, Ch38, Ch20, Ch44, Ch22, Ch46, Ch25, and Ch48). Other columns settings were identical to Data 2.
DOI: 10.17632/dz256zmwfj.1
title: Pore clogging growth behaviors in column scale experiment_Test5 X-ray Image

description: Column experiment Test 5.
Initial seepage velocity (mm/s): 4.30
DOI: 10.17632/x5zfskmhfm.1
title: Doskonalenie kompetencji badawczych i cyfrowych studentów KN INNOWACJA w reakcji na pandemię COVID w ramach programu “Studenckie koła naukowe tworzą innowacje”, finansowanego przez Ministerstwo Edukacji i Nauki (SKN/SN/496381/2021) - BAZA 2

description: Baza zawiera wyniki badań zrealizowanych w ramach projektu Doskonalenie kompetencji badawczych i cyfrowych studentów KN INNOWACJA w reakcji na pandemię COVID w ramach programu “Studenckie koła naukowe tworzą innowacje”, finansowanego przez Ministerstwo Edukacji i Nauki (SKN/SN/496381/2021). Wyniki odnoszą się do narzędzi: EPR-R, CISS, KPD, STAI, KNS
DOI: 10.17632/2rvpstfzrp.1
title: LINF_310029200

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/d2by7636jk.1
title: LINF_310029300

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/j62bxdwhjr.1
title: LINF_310029600

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/5hgjypf4gz.1
title: LINF_310028800

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/92ymrtgvp5.1
title: Multispot EDS data on cm-sized vertebrate coprolites and XRD data on host- and associated lithologies belonging to Miocene (Aquitanian-Burdigalian) Khari Nadi and Chassra formations, Kutch Basin, western India

description: Herein, we provide the Energy Dispersive Spectroscopy - EDS (multispot) data pertaining to cm-sized vertebrate coprolites from the Miocene (Aquitanian-Burdigalian) Khari Nadi and Chassra formations (Kutch Basin, western India) that depict the phosphatic nature of these ichnofossils and also reflect upon the chemical nature of the biotic/abiotic inclusions (e.g., bone matter, fungal hyphae, bacterial microspherulites, pyrite crystals). The analysed coprolites were collected from three localities namely Mata-no-madh South (specimen series COP/MT), Khirsara (specimen series COP/KIRK) and Palasava (specimen series COP/PSV) in the Kutch region, Gujarat State, western India. Report nos. 1217 (Specimen no. COP/MT-1), 1219 (Specimen no. COP/MT-1), 1018 (Specimen no. COP/MT-4), 1111 (Specimen no. COP/MT-4), 1048 (Specimen no. COP/MT-4), 1082 (Specimen no. COP/MT-4) and 1091 (Specimen no. COP/MT-4) are presented herein as Supplementary Data S1. The report nos. 1098 (Specimen no. COP/MT-4), 1019 (Specimen no. COP/MT-4) 1043 (Specimen no. COP/MT-4), 1229 (Specimen no. COP/MT-5), 1033 (Specimen no. COP/KIRK-1), 1037 (Specimen no. COP/KIRK-1), 1181 (Specimen no. COP/PSV-1) and 1113 (Specimen no. COP/PSV-3) are presented herein as Supplementary Data S2. Report nos. 1217 (Specimen no. COP/MT-1), 1048 (Specimen no. COP/MT-4), and 1229 (Specimen no. COP/MT-5) are presented herein as Supplementary Data S3. Report nos. 1037 (Specimen no. COP/KIRK-1), 1181 (Specimen no. COP/PSV-1), and 1113 (Specimen no. COP/PSV-3) are presented herein as Supplementary Data S4. In addition, we provide the mineralogical composition of the host (coprolite-yielding) and associated lithologies from the above-mentioned three localities based on the X-Ray Diffraction (XRD) analyses as Supplementary Data S5 and S6. The coprolite specimens were individually examined (at multiple spots) utilizing a Scanning Electron Microscope (Model: JEOL7610F) with EDAX (Model: Octane Plus with TEAM software version V4.2.1) instrument at the Birbal Sahni Institute of Palaeosciences (BSIP), Lucknow, India. The mineralogical contents of the powdered samples of the host (coprolite-yielding) and associated lithologies were determined utilizing the PANalytical X’PERT3 Powder X-Ray Diffraction (XRD) instrument at BSIP, Lucknow, India.
DOI: 10.17632/8w8m4bzvj3.1
title: Turkey Zona Pellucida Data Blot Links

description: Link to blots for Westerns for ZPB1, ZPB2 and ZPC
DOI: 10.17632/8w8m4bzvj3.2
title: Broiler Breeder and Turkey Zona Pellucida Data Blot Links

description: Link to blots for Westerns for ZPB1, ZPB2 and ZPC
DOI: 10.17632/nhjc8hj4tn.1
title: Doskonalenie kompetencji badawczych i cyfrowych studentów KN INNOWACJA w reakcji na pandemię COVID w ramach programu “Studenckie koła naukowe tworzą innowacje”, finansowanego przez Ministerstwo Edukacji i Nauki (SKN/SN/496381/2021)

description: W projekcie ,,Doskonalenie kompetencji badawczych i cyfrowych studentów KN INNOWACJA w reakcji na pandemię COVID-19 badaniami objęto 200 studentów Wyższej Szkoły Ekonomii i Innowacji w Lublinie na różnych kierunkach. Z analizy przeprowadzonych ankiet wynika, że ponad połowa przebadanych osób studiowała w trybie stacjonarnym na kierunku psychologia. Około jedna czwarta przebadanych chorowała na COVID-19, co było potwierdzone testem. Zagrożenie koronawirusem spowodowało, że co czwarty badany często odczuwał silne emocje i stres. W trakcie lockdownu w 2020/2021 roku ponad trzy czwarte przebadanych studentów WSEI studiowało zdalnie.
DOI: 10.17632/459sdxmwm4.1
title: Dryspells_initialdata

description: Data collected before the start of dry spells begun.
DOI: 10.17632/ywmn9cb8g3.1
title: Dryspells_final_mesurements

description: Data from Qualea grandiflora and Tabebuia aurea seedlings after the dry spell treatments.
DOI: 10.17632/mvd6mntz5p.1
title: Climate_dryspells

description: Data used to determine the irrigation used in the dry spell experiment.
DOI: 10.17632/fbr8k496vw.1
title: Strongyloides stercoralis infection induces gut dysbiosis and decreases short-chain fatty-acid profiles in an endemic area

description: The raw gut bacterial sequencing data obtained from 2 groups of human: 1. Human uninfected with S. stercoralis (Ss-), 2. Human infected with S. stercoralis (Ss+).
DOI: 10.17632/fbr8k496vw.2
title: Strongyloides stercoralis infection induces gut dysbiosis and decreases short-chain fatty-acid profiles in an endemic area

description: The raw gut bacterial sequencing data obtained from 2 groups of human: 1. Human uninfected with S. stercoralis (Ss-), 2. Human infected with S. stercoralis (Ss+).
DOI: 10.17632/xsp4t437nb.1
title: Gene Expression Data

description: The gene expression data from the RNA-sequencing experiment.
DOI: 10.17632/m4d5j6929y.1
title: Ten percent of Indonesian publications 

description: This data article presents an essential bibliometric dataset of ten percent Indonesian publications with the highest citation, 1945-2021. The highest ten percent of citations from publications written by authors from Indonesia are grouped based on the periodization of the president, who ruled from 1945 to 2021. There are seven Periods of government in Indonesia. President Sukarno Era (1945-1965), there were 24 publications out of a total of 239 publications by Indonesian authors. President Suharto Era (1966-1998) had 578 publications out of 5,784. President B.J Habibie Era (1999), there were 65 publications out of 654. President Abdurrahman Wahid Era (2000-2001), there were 144 publications out of a total of 1,449 publications. President Megawati Soekarnoputri Era (2002-2004), there were 263 publications out of a total of 2,635 publications. President Susilo Bambang Yudhoyono Era (2005-2014), there are 3,098 publications out of 30,984 publications. President Joko Widodo Era (2015-2021) has 32,311 publications out of 323,115.
DOI: 10.17632/5drb9c5y9h.1
title: Pancancer Transcriptomic Profiling Identifies Key PANoptosis Markers as Therapeutic Targets

description: Data downloaded from TCGA to perform tumor stratification into PANoptosis clusters based on a PANoptosis gene signature. We design a systematic framework to determine the key innate immune biomarkers for cancers where PANoptosis has a prognostic association with overall survival. More details about the results from the framework are provided in the README.
DOI: 10.17632/5drb9c5y9h.2
title: Pancancer Transcriptomic Profiling Identifies Key PANoptosis Markers as Therapeutic Targets

description: Data downloaded from TCGA to perform tumor stratification into PANoptosis clusters based on a PANoptosis gene signature. We design a systematic framework to determine the key innate immune biomarkers for cancers where PANoptosis has a prognostic association with overall survival. More details about the results from the framework are provided in the README.
DOI: 10.17632/9gszy3sb76.1
title: LINF_310028900

description: ALD1
Leishmania infantum (strain JPCM5)
DOI: 10.34740/kaggle/dsv/4062867
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25824/redu/gemrp5
title: screening_soro_queijo_adicionado_nisina_culturas_lacteas.tab

description: Screening_soro_queijo_adicionado_culturas_lacteas_nisina
DOI: 10.25824/redu/imt8pt
title: Screening soro queijo adicionado culturas lacteas nisina

description: Dados de amostras de soro de queijo de ovelha e soro de queijo de cabra adicionadas de culturas lácteas bioprotetoras, fermentativas e nisina para avaliação do crescimento/morte das culturas inoculadas frente aos diferentes cenários.
DOI: 10.6084/m9.figshare.20481126
title: Textos selecionados RSL

description: Tabela de artigos selecionados
DOI: 10.6084/m9.figshare.20481126.v1
title: Textos selecionados RSL

description: Tabela de artigos selecionados
DOI: 10.25919/a7f8-bx52
title: Parkes pulsar observations with undefined project IDs for 2022APRS_13

description: Parkes pulsar observations with undefined project IDs for 2022APRS. This collection contains observations from project IDs PX071 and PX089.
DOI: 10.6084/m9.figshare.20481129
title: Subdivisions by body weight and performance of Juniors category rowers, considerations about muscle strength, sprint speed & anaerobic and aerobic power: Data Base.

description: Database. Research protocol available at: Open Science Framework Registries (Doi: 10.17605/OSF.IO/X26BJ). <br> Rowing is a sport that uses bodyweight subdivisions (Lightweight and Heavyweight) for the senior and master categories. However, the Juniors category is subdivided into the Junior-B (up to 17 years of age) and Junior-A (18 years of age) categories without considering the bodyweight division. In the Juniors category, athletes are subject to the biological maturation (BM) phenomenon. Athletes with early BM tend to point out higher lean mass and body weight, which in comparison to their peers with late BM can favor the performance of strength and muscle power and consequently the rowing performance. Thus, it is important to consider body weight subdivisions for Juniors rowers.
DOI: 10.6084/m9.figshare.20481129.v1
title: Subdivisions by body weight and performance of Juniors category rowers, considerations about muscle strength, sprint speed & anaerobic and aerobic power: Data Base.

description: Database. Research protocol available at: Open Science Framework Registries (Doi: 10.17605/OSF.IO/X26BJ). <br> Rowing is a sport that uses bodyweight subdivisions (Lightweight and Heavyweight) for the senior and master categories. However, the Juniors category is subdivided into the Junior-B (up to 17 years of age) and Junior-A (18 years of age) categories without considering the bodyweight division. In the Juniors category, athletes are subject to the biological maturation (BM) phenomenon. Athletes with early BM tend to point out higher lean mass and body weight, which in comparison to their peers with late BM can favor the performance of strength and muscle power and consequently the rowing performance. Thus, it is important to consider body weight subdivisions for Juniors rowers.
DOI: 10.6084/m9.figshare.20481168
title: Artigos selecionados RSL comunicacao organizacional em instituições publicas de ensino superior

description: Tabela de artigos
DOI: 10.6084/m9.figshare.20481168.v1
title: Artigos selecionados RSL comunicacao organizacional em instituições publicas de ensino superior

description: Tabela de artigos
DOI: 10.5281/zenodo.6984998
title: QRNG module integrated on a polymer photonic-platform (polyboard)

description: This dataset includes measured random number distribution and generated randomness evaluation results on the Polyboard QRNG module with 4 output paths (1x4) as well as characterization measurements of the Polyboard QRNG module with 16 output paths and integrated SPADs including dark-count rates and detector efficiency evaluation.
DOI: 10.5281/zenodo.6984997
title: QRNG module integrated on a polymer photonic-platform (polyboard)

description: This dataset includes measured random number distribution and generated randomness evaluation results on the Polyboard QRNG module with 4 output paths (1x4) as well as characterization measurements of the Polyboard QRNG module with 16 output paths and integrated SPADs including dark-count rates and detector efficiency evaluation.
DOI: 10.6084/m9.figshare.16750633
title: Phenotypic space and performance of Juniperus thurifera across woodland-expanding areas

description: Leaf and plant-size traits of 180 juveniles of Juniperus thurifera across a woodalnd expasion gradient. Growth rate, resilience to drought and environmental variables are also included. Related paper: Benavides, R., Acuña-Míguez, B., Valladares, F. <strong>Early differentiation of the phenotypic space and performance of </strong><em><strong>Juniperus thurifera</strong></em><strong> across woodland-expanding areas</strong> Ecosystems (in press)<br>
DOI: 10.5517/cc11njrz
title: CCDC 973051: Experimental Crystal Structure Determination

description: Related Article: Bianca David, Uwe Monkowius, Jörg Rust, C Lehmann, Lukas Hyzak, Fabian Mohr|2014|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/4062952
title: CIC-Bell-DNS-EXF2021
DOI: 10.5517/ccdc.csd.cc20qsr9
title: CCDC 1868951: Experimental Crystal Structure Determination

description: Related Article: Mathilde Rigoulet, Stéphane Massou, E. Daiann Sosa Carrizo, Sonia Mallet-Ladeira, Abderrahmane Amgoune, Karinne Miqueu, Didier Bourissou|2019|Proc.Nat.Acad.Sci.USA|116|46|doi:10.1073/pnas.1817194116
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20qstc
title: CCDC 1868953: Experimental Crystal Structure Determination

description: Related Article: Mathilde Rigoulet, Stéphane Massou, E. Daiann Sosa Carrizo, Sonia Mallet-Ladeira, Abderrahmane Amgoune, Karinne Miqueu, Didier Bourissou|2019|Proc.Nat.Acad.Sci.USA|116|46|doi:10.1073/pnas.1817194116
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20rnm2
title: CCDC 1869784: Experimental Crystal Structure Determination

description: Related Article: Weipeng li|2018|CSD Communication|||
description: Related Article: Weipeng Li,  Dandan Yuan,  Guoqiang Wang,  Yue Zhao,  Jin Xie,  Shuhua Li,  Chengjian Zhu|2019|J.Am.Chem.Soc.|141|3187|doi:10.1021/jacs.8b12929
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dg42
title: CCDC 1888803: Experimental Crystal Structure Determination

description: Related Article: Anuj Kumar, Dan Yuan, Han Vinh Huynh|2019|Inorg.Chem.|58|7545|doi:10.1021/acs.inorgchem.9b00786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dg75
title: CCDC 1888806: Experimental Crystal Structure Determination

description: Related Article: Anuj Kumar, Dan Yuan, Han Vinh Huynh|2019|Inorg.Chem.|58|7545|doi:10.1021/acs.inorgchem.9b00786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dg97
title: CCDC 1888808: Experimental Crystal Structure Determination

description: Related Article: Anuj Kumar, Dan Yuan, Han Vinh Huynh|2019|Inorg.Chem.|58|7545|doi:10.1021/acs.inorgchem.9b00786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dgb8
title: CCDC 1888809: Experimental Crystal Structure Determination

description: Related Article: Anuj Kumar, Dan Yuan, Han Vinh Huynh|2019|Inorg.Chem.|58|7545|doi:10.1021/acs.inorgchem.9b00786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21dgc9
title: CCDC 1888810: Experimental Crystal Structure Determination

description: Related Article: Anuj Kumar, Dan Yuan, Han Vinh Huynh|2019|Inorg.Chem.|58|7545|doi:10.1021/acs.inorgchem.9b00786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21k6b5
title: CCDC 1893366: Experimental Crystal Structure Determination

description: Related Article: Yue Tang, Idir Benaissa, Mathieu Huynh, Laure Vendier, Noël Lugan, Stéphanie Bastin, Philippe Belmont, Vincent César, Véronique Michelet|2019|Angew.Chem.,Int.Ed.|58|7977|doi:10.1002/anie.201901090
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.