cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10093106
title: УРАН ӨНДІРУШІ ЖШС «ҚАРАТАУ» КӘСІПОРЫНЫНЫҢ УРАНДЫ ӨНДІРУ БАРЫСЫНДА ТАБИҒИ СУЛАРҒА ӘСЕР ЕТУІ

description: Аннотация: Будут получены данные о загрязнении подземных вод и атмосферного воздуха в процессе добычи урана методом подземного выщелачивания уранодобывающего предприятия» Каратау«, расположенного в Созакском районе Туркестанской области, одного из основных рудников национальной компании» Казатомпром", на актуальность экологических проблем. На урановом месторождении при ПСВ могут разливаться растворы, загрязняющие поверхность. Для анализа проб воды определяли гравиметрическим, объемным, электрометрическим, йодометрическим, фотометрическим способом, содержащим салициловую кислоту. В целом гидрогеологические условия месторождения
DOI: 10.5281/zenodo.10093107
title: УРАН ӨНДІРУШІ ЖШС «ҚАРАТАУ» КӘСІПОРЫНЫНЫҢ УРАНДЫ ӨНДІРУ БАРЫСЫНДА ТАБИҒИ СУЛАРҒА ӘСЕР ЕТУІ

description: Аннотация: Будут получены данные о загрязнении подземных вод и атмосферного воздуха в процессе добычи урана методом подземного выщелачивания уранодобывающего предприятия» Каратау«, расположенного в Созакском районе Туркестанской области, одного из основных рудников национальной компании» Казатомпром", на актуальность экологических проблем. На урановом месторождении при ПСВ могут разливаться растворы, загрязняющие поверхность. Для анализа проб воды определяли гравиметрическим, объемным, электрометрическим, йодометрическим, фотометрическим способом, содержащим салициловую кислоту. В целом гидрогеологические условия месторождения
DOI: 10.5281/zenodo.10093114
title: УРАН ӨНДІРУШІ ЖШС «ҚАРАТАУ» КӘСІПОРЫНЫНЫҢ УРАНДЫ ӨНДІРУ БАРЫСЫНДА ТАБИҒИ СУЛАРҒА ӘСЕР ЕТУІ

description: Аннотация: Будут получены данные о загрязнении подземных вод и атмосферного воздуха в процессе добычи урана методом подземного выщелачивания уранодобывающего предприятия» Каратау«, расположенного в Созакском районе Туркестанской области, одного из основных рудников национальной компании» Казатомпром", на актуальность экологических проблем. На урановом месторождении при ПСВ могут разливаться растворы, загрязняющие поверхность. Для анализа проб воды определяли гравиметрическим, объемным, электрометрическим, йодометрическим, фотометрическим способом, содержащим салициловую кислоту. В целом гидрогеологические условия месторождения
DOI: 10.6084/m9.figshare.24539320
title: RNA-seq differential expression of N2A cells treated with DMSO (ctrl) or Glucocerebrosides (40 uM) for 7days.

description: RNA-seq differential expression of N2A cells treated with DMSO (ctrl) or Glucocerebrosides (40 uM) for 7days. GC treatment induced a senescence-like phenotype.
DOI: 10.5281/zenodo.10070521
title: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping

description: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping
El web scraping s'ha convertit en una eina essencial per a l'anàlisi de valors de l'IBEX 35. Proporciona als inversors l'avantatge d'accedir a dades actualitzades i rellevants, la qual cosa és fonamental en un mercat en constant evolució. Aprofitar aquesta tècnica els permet prendre decisions més informades i, en última instància, maximitzar les seves oportunitats d'inversió a l'IBEX 35.
DOI: 10.5281/zenodo.10070520
title: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping

description: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping
El web scraping s'ha convertit en una eina essencial per a l'anàlisi de valors de l'IBEX 35. Proporciona als inversors l'avantatge d'accedir a dades actualitzades i rellevants, la qual cosa és fonamental en un mercat en constant evolució. Aprofitar aquesta tècnica els permet prendre decisions més informades i, en última instància, maximitzar les seves oportunitats d'inversió a l'IBEX 35.
DOI: 10.5281/zenodo.10093117
title: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping

description: Maximitzant l'Anàlisi de Valors de l'IBEX 35: El Paper Vital del Web Scraping
El web scraping s'ha convertit en una eina essencial per a l'anàlisi de valors de l'IBEX 35. Proporciona als inversors l'avantatge d'accedir a dades actualitzades i rellevants, la qual cosa és fonamental en un mercat en constant evolució. Aprofitar aquesta tècnica els permet prendre decisions més informades i, en última instància, maximitzar les seves oportunitats d'inversió a l'IBEX 35.
DOI: 10.5281/zenodo.10076791
title: MCC_12M_STM

description: MicroCapture C 12M reads
DOI: 10.5281/zenodo.10076792
title: MCC_12M_STM

description: MicroCapture C 12M reads
DOI: 10.58120/upstate.23959239
title: Nature Methods 2023 - ATOM Biosensors

description: This dataset includes raw microscopy images, processed and unprocessed data, and statistical analyses (GraphPad Prism files) for the ATOM biosensor study by Sekhon, Ha, Loh, et al., published in <i>Nature Methods</i> on November 9, 2023. See README files for additional information.DOIhttps://doi.org/10.1038/s41592-023-02065-w
DOI: 10.58120/upstate.23959239.v2
title: Nature Methods 2023 - ATOM Biosensors

description: This dataset includes raw microscopy images, processed and unprocessed data, and statistical analyses (GraphPad Prism files) for the ATOM biosensor study by Sekhon, Ha, Loh, et al., published in <i>Nature Methods</i> on November 9, 2023. See README files for additional information.DOIhttps://doi.org/10.1038/s41592-023-02065-w
DOI: 10.58120/upstate.23959239.v1
title: Nature Methods 2023 - ATOM Biosensors

description: This dataset includes raw microscopy images, processed and unprocessed data, and statistical analyses (GraphPad Prism files) for the ATOM biosensor study by Sekhon, Ha, Loh, et al., published in <i>Nature Methods</i> in 2023. See README files for additional information.
DOI: 10.5517/ccdc.csd.cc2ddvk7
title: CCDC 2216889: Experimental Crystal Structure Determination

description: Related Article: Kyohei Nakano, Iat Wai Leong, Daisuke Hashizume, Kirill Bulgarevich, Kazuo Takimiya, Yusuke Nishiyama, Toshio Yamazaki, Keisuke Tajima|2023|Chemical Science|14|12205|doi:10.1039/D3SC04125E
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.cc2ddvl8
title: CCDC 2216890: Experimental Crystal Structure Determination

description: Related Article: Kyohei Nakano, Iat Wai Leong, Daisuke Hashizume, Kirill Bulgarevich, Kazuo Takimiya, Yusuke Nishiyama, Toshio Yamazaki, Keisuke Tajima|2023|Chemical Science|14|12205|doi:10.1039/D3SC04125E
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.cc2ddvm9
title: CCDC 2216891: Experimental Crystal Structure Determination

description: Related Article: Kyohei Nakano, Iat Wai Leong, Daisuke Hashizume, Kirill Bulgarevich, Kazuo Takimiya, Yusuke Nishiyama, Toshio Yamazaki, Keisuke Tajima|2023|Chemical Science|14|12205|doi:10.1039/D3SC04125E
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.cc2ddvnb
title: CCDC 2216892: Experimental Crystal Structure Determination

description: Related Article: Kyohei Nakano, Iat Wai Leong, Daisuke Hashizume, Kirill Bulgarevich, Kazuo Takimiya, Yusuke Nishiyama, Toshio Yamazaki, Keisuke Tajima|2023|Chemical Science|14|12205|doi:10.1039/D3SC04125E
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.cc2g44sk
title: CCDC 2268108: Experimental Crystal Structure Determination

description: Related Article: Yingyu Li|2023|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: 10.6084/m9.figshare.24539410
title: Four Text Datasets Used For Comparison Between Hedonometer and Azure Sentiment Analysis Tools

description: Lexicon-based approaches to sentiment analysis of text are based on each word or lexical entry having a pre-defined<br>weight indicating its sentiment polarity. We compute sentiment for more than 150,000 English language texts drawn from 4 domains using the Hedonometer, a lexicon-based technique and Azure, a contemporary machine-learning based approach. We model differences in sentiment scores between approaches for documents in each domain using a regression and analyse the independent variables (Hedonometer lexical entries) as indicators of each word's importance and contribution to the score differences.1. Finance Data: This dataset contains 5,000 records of different financial news texts from company press reviews and news headlines.2. News Headlines Data: This dataset consists of 50,000 news headlines for the period of 8 months (November 2015 to July 2016) on four different topics: Economy, Microsoft, Obama, and Palestine.3. IMDb Dataset: This dataset consists of 50,000 reviews posted by customers on the online IMDb platform which is an International Movie Database platform.4. Twitter Dataset: This dataset consists of almost 40,000 tweets from users around the globe on every thing.5. Hedonometer Bag of Words: This is the bag of words used to perform sentiment analysis using traditional lexicon approach which consists of 10,223 words with their respective happiness score. The actual file can be downloaded from here: https://hedonometer.org/words/labMT-en-v2/6. Combined p-values results: This is the result file which was generated once we performed sentiment analysis on all the above domains and only identified words that are present in the hedonometer sheet. The sheet consists of the words and their respective happiness score and their p-values on all different domains.7. Data visualisations: This is the visualisation code base in Tableau which was used to generate visualisations.
DOI: 10.18739/a2pc2tb1t
title: Midnight Sun Golf Course Classified LiDAR Point Cloud, Digital Surface Model, Digital Terrain Model, Digital Photos, and Orthophoto Mosaic; Fairbanks, AK; 10 September 2023

description: The Midnight Sun Golf Course in Fairbanks, Alaska is a legacy farm field that is part of the National Science Foundation (NSF) Funded Permafrost Grown project. This 65 hectare (ha) parcel was initially cleared for agriculture purposes but changed land-use practices to a golf course around 25 years ago. The land-use conversion was in part due to ice-rich permafrost thaw following clearing. We are studying the long-term effects of permafrost thaw following initial clearing for cultivation purposes. We are working with the current landowners to provide information regarding ongoing thermokarst development on the property and to conduct studies in reforested portions of the land area to understand land clearing and reforestation on permafrost-affected soils. In this regard, we have acquired very high resolution light detection and ranging (LiDAR) data and digital photography from a DJI M300 drone using a Zenmuse L1. The Zenmuse L1 integrates a Livox Lidar module, a high-accuracy inertial measurement units (IMU), and a camera with a 1-inch CMOS on a 3-axis stabilized gimbal. The drone was configured to fly in real-time kinematic (RTK) mode at an altitude of 60 meters above ground level using the DJI D-RTK 2 base station. Data was acquired using a 50% sidelap and a 70% frontlap. Additional ground control was established with a Leica GS18 global navigation satellite system (GNSS) and all data have been post-processed to World Geodetic System 1984 (WGS84) universal transverse mercator (UTM) Zone 6 North using ellipsoid heights. Data outputs include a two-class classified LiDAR point cloud, digital surface model, digital terrain model, and an orthophoto mosaic. Image acquisition occurred on 10 September 2023. The input images are available for download at http://arcticdata.io/data/10.18739/A2PC2TB1T.
DOI: 10.5281/zenodo.10091813
title: Total fluorine (TF), extractable organofluorine (EOF) and sum of per- and polyfluoroalkyl substances (ΣPFAS) in artificial turfs from Stockholm, Sweden

description: This data is associated with the publication "Widespread Occurrence of Non-Extractable Fluorine in Artificial Turfs from Stockholm, Sweden" (https://pubs.acs.org/doi/full/10.1021/acs.estlett.2c00260) and pertains artificial turfs components sampled in Stockholm, Sweden.
The excel file details concentrations of the sum of per- and polyfluoroalkyl substances (ΣPFAS), extractable organofluorine (EOF) and total fluorine (TF) in nanogram of fluorine per gram of sample (ng F/g) of the three different components of artificial turf (backing, blades and filling).
DOI: 10.5281/zenodo.10091814
title: Total fluorine (TF), extractable organofluorine (EOF) and sum of per- and polyfluoroalkyl substances (ΣPFAS) in artificial turfs from Stockholm, Sweden

description: This data is associated with the publication "Widespread Occurrence of Non-Extractable Fluorine in Artificial Turfs from Stockholm, Sweden" (https://pubs.acs.org/doi/full/10.1021/acs.estlett.2c00260) and pertains artificial turfs components sampled in Stockholm, Sweden.
The excel file details concentrations of the sum of per- and polyfluoroalkyl substances (ΣPFAS), extractable organofluorine (EOF) and total fluorine (TF) in nanogram of fluorine per gram of sample (ng F/g) of the three different components of artificial turf (backing, blades and filling).
DOI: 10.5281/zenodo.10093736
title: torymus_tubicola_decontaminated_FSCR.fasta.gz

description: torymus_tubicola_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10093741
title: tubulanus_punctatus_decontaminated_FSCR.fasta.gz

description: tubulanus_punctatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10093740
title: tubulanus_punctatus_decontaminated_FSCR.fasta.gz

description: tubulanus_punctatus_decontaminated_FSCR.fasta.gz
DOI: 10.6073/pasta/640a4b6c11d4551f0c761ec86d025191
title: Interagency Ecological Program: USFWS Delta Boat Electrofishing Survey, 2018-2023

description: The United States Fish and Wildlife Service's (USFWS) Delta Boat Electrofishing Survey was designed to estimate spatial and temporal trends in abundance, occupancy, capture probabilities, and related environmental drivers of fish assemblages across nearshore littoral habitats within the Sacramento-San Joaquin River Delta. The USFWS Lodi Field Office in collaboration with the United States Geological Survey developed the survey in 2018 to expand fish monitoring and inferences in nearshore habitats not monitored by long-term USFWS beach seine surveys within the San Francisco Estuary. The survey uses a robust statistical framework, including a stratified random sampling design and segmented transects that act as spatial replicates for occupancy modeling. For more information on the Lodi U.S. Fish and Wildlife Office: https://www.fws.gov/lodi/
DOI: 10.6084/m9.figshare.24539458
title: Raw data of Articles that were produced from PubMed search using the included search string within the Journals listed in the Google metrics.

description: Stigmatizing language or non-person-centered language (PCL) has been shown to impact patients negatively, especially in the case of obesity. This has led many associations, such as the American Medical Association (AMA) and the International Committee of Medical Journal Editors (ICMJE) to enact guidelines prohibiting the use of stigmatizing language in medical research. In 2018, the AMA adopted PCL guidelines, including a specific obesity amendment that all researchers should adhere to. Our primary objective was to determine if PCL guidelines specific to obesity have been properly obeyed in the most interacted with sports medicine journals. We searched within PubMed for obesity-related articles between 2019 and 2022 published in the top ten most interacted sports medicine journals based on Google Metrics data. A predetermined list of stigmatizing and non-PCL terms/language was searched within each article.
DOI: 10.5281/zenodo.10093737
title: torymus_tubicola_decontaminated_FSCR.fasta.gz

description: torymus_tubicola_decontaminated_FSCR.fasta.gz
DOI: 10.6084/m9.figshare.24539413
title: The data for "Comparing behaviours induced by natural memory retrieval and optogenetic reactivation of an engram ensemble in mice"

description: we compared two defensive behaviors (freezing and the syllable structure of ultrasonic vocalizations, USVs) induced by training cues (natural memory retrieval) and optogenetic engram ensemble reactivation (artificial memory retrieval) in a threat conditioning paradigm in the same mice. During natural memory recall, we observed a strong positive correlation between freezing levels and USV syllable characteristics (characterized by an unsupervised algorithm, MUPET, Mouse Ultrasonic Profile ExTraction). Furthermore, strikingly similar behavioural profiles were observed in the same mice when engram ensemble neurons were optogenetically reactivated. Although our analysis focused on two behavioral measures of threat memory (freezing and USV characteristics), these results underscore the similarities between threat memory recall triggered naturally and through optogenetic engram reactivation.
DOI: 10.7278/s50d-evm5-vh17
title: Dataset for: The Impact of Design Factors on User Behavior in a Virtual Hospital Room to Explore Fall Prevention Strategies
DOI: 10.5281/zenodo.10093848
title: tubulanus_ruber_decontaminated_FSCR.fasta.gz

description: tubulanus_ruber_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.10093849
title: tubulanus_ruber_decontaminated_FSCR.fasta.gz

description: tubulanus_ruber_decontaminated_FSCR.fasta.gz
DOI: 10.22002/aregx-6xy30
title: Data For: "Oxidation State of Uranium in Zircon and Other Accessory Phases"

description: This data set includes: 1) Larch project file containing average U M4-edge XANES spectra of individual mineral samples, 2) Larch project file containing average U L3-edge spectra of zircon samples used for EXAFS analysis, 3) a spreadsheet containing the data determined from fitting of the spectra in (1) and (2).
DOI: 10.5281/zenodo.8335447
title: Source Data for Manuscript: "Inferring Chemical Disequilibrium Biosignatures for Proterozoic Earth-like Exoplanets"

description: This dataset accompanies the manuscript entitled "Inferring Chemical Disequilibrium Biosignatures for Proterozoic Earth-like Exoplanets", which was accepted for publication in the Nature Astronomy Journal. Enclosed are all the source files associated with the figures in the main text and Supplementary Information along with the full, 10 chain, MCMC output files for each retrieval described in the publication.
DOI: 10.25345/c5rv0db3v
title: MassIVE MSV000093347 - Fecal metabolites identify liver transplant recipients at risk for peri-operative infection
title: Targeted metabolomics performed by GC-MS (for SCFAs by PFBBr derivatization) and LC-MS (for bile acids) on fecal samples from liver transplant patients.
DOI: 10.6073/pasta/6a506c7e46d737304468e960ddbc1303
title: MCR LTER: Coral Reef: Temperature and Salinity subset of moorings FOR01, FOR04 and FOR05 from 2005-2014

description: This dataset is derived as a subset from three separate much larger more complex datasets: knb-lter-mcr.30, knb-lter-mcr.31, and knb-lter-mcr.32. Sampling began in 2005 and continues (as of 2019) for those time series. This dataset knb-lter-mcr.1040 was an experimental workflow that ended with 2014 data. Moored instrumentation measures water temperature and salinity year-round on the forereef of Moorea, French Polynesia at sites FOR01, FOR04 and FOR05 on the forereef of the north, east, and west shores, respectively. Data are interpolated onto a 20 minute grid. The two moored CTD packages are located approximately 5 and 14 meters above the bottom, and there are up to 5 additional temperature thermistors spaced vertically along the mooring line. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.34740/kaggle/dsv/6929615
title: Synthetic Cancer Prediction Dataset for Research
DOI: 10.25345/c5n58cx19
title: MassIVE MSV000093348 - Multiomics characterization of a less invasive microfluidic-based cell sorting technique
title: Fluorescence-activated cell sorting (FACS) is a specialized technique to isolate cell subpopulations with a high level of recovery and accuracy. However, the cell sorting procedure can impact the viability and metabolic state of cells. Here, we performed a comparative study and evaluated the impact of traditional high-pressure charged droplet-based and a microfluidic chip-based sorting approach on the metabolic and phosphoproteomic profile of different cell types. While microfluidic chip-based sorted cells more closely resembled the unsorted control group for most cell types tested, the droplet-based sorted cells showed significant metabolic and phosphoproteomic alterations. In particular, greater changes in redox and energy status were present in cells sorted with the droplet-based cell sorter along with higher transcriptional and spliceosomal regulation and mechanical stress signaling. These results indicate microfluidic chip-based sorting is less disruptive compared to droplet-based sorting.
DOI: 10.5281/zenodo.7600050
title: PAN23 Trigger Detection

description: This is the dataset for the shared task on Trigger Detection at PAN@CLEF2023. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code. <strong>Task:</strong> In trigger detection, we want to assign trigger warning labels to documents that contain potentially discomforting or distressing (triggering) content. We model trigger detection as a multi-label document classification challenge: assign each document all appropriate trigger warnings, but not more. All warnings are chosen from the author's perspective, i.e. the work's author decided which kind of trigger the document contains. <strong>Dataset: </strong>This dataset contains annotated works of fanfiction, extracted from archiveofourown.org (AO3). Each work is between 50 and 6,000 words long and has between 1 and many trigger warnings assigned. Our training dataset contains 307,102 examples, with 17,104 in validation and 17,040 in the test split. The label set contains 32 different trigger warnings. All labels are based on the freeform content warnings added to a fanwork by its author.