cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13678999.v2
title: WETFEET: Mangrove growth responses to warming across a latitudinal gradient.csv

description: In the southeastern US, Avicennia germinans (black mangrove) is encroaching poleward due to warming temperatures and a decrease in annual freee events. To understand how warming will continue to impact mangrove encroachment, we deployed open-top passive warming chambers at three sites along the northeast coast of Florida encompassed by the Guana Tolomato Matanzas National Estuarine Research Reserve. Mangrove height and canopy widths were measured in each of the 36 plots (3 sites x 2 treatments x 6 replicates) at the outset of the experiment in May 2018 and then again in November 2018 (6 months) and in May 2019 (1 year). Plant height was measured to the tallest branch. Canopy width was measured at the widest dimension and then again at the dimension perpendicular from the first measurement. <br>In each plot, two PVC rings were placed over existing salt marsh vegetation. In August 2018, we measured the height and number of stems (stem density) of each species present in the biomass rings. All biomass was then cut at the base for allometric measurements in the lab. This process was repeated in August 2019.<br>To assess belowground root biomass, we took 30cm soil cores from each plot using a gauge auger in May 2018 and again in May 2019. Cores were split into two sections; 0-15cm depth, and 15-30cm depth. Each section was washed free from sediment, and remaining root biomass was dried in a 60 degree C oven and weighed.
DOI: 10.5281/zenodo.6759384
title: joemacgregor/GBaTSv2: Greenland Ice Sheet Likely Basal Thermal State version 2 [dataset+code] FINAL

description: Greenland Ice Sheet Likely Basal Thermal State version 2, FINAL dataset+code to be published in The Cryosphere (tc-2022-40)
DOI: 10.5281/zenodo.5714526
title: joemacgregor/GBaTSv2: Greenland Ice Sheet Likely Basal Thermal State version 2 [dataset+code] FINAL

description: Greenland Ice Sheet Likely Basal Thermal State version 2, FINAL dataset+code to be published in The Cryosphere (tc-2022-40)
DOI: 10.34740/kaggle/dsv/3966389
title: My Training Weights
DOI: 10.34740/kaggle/dsv/3966404
title: Printed Digits Dataset
DOI: 10.5066/p9sly4j8
title: Assessment of fecal contamination sources to Alley Creek, Queens County, New York: Results from a sediment resuspension experiment, thermal imagery, and additional sample collection, 2020-2021

description: In cooperation with the New York City Department of Environmental Protection (NYC DEP), the U.S. Geological Survey (USGS) collected water and bed sediment samples along Alley Creek (Queens, New York) to help determine likely sources of fecal bacteria to the creek and Little Neck Bay. Potential terrestrial sources include stormwater, sewage via combined sewer overflow (CSO) and compromised infrastructure, bed-sediment resuspension, and groundwater discharge. Host sources that were targeted using microbial source tracking (MST) techniques included human, canine, waterfowl, and general Bacteroides. Routine water samples were collected and analyzed for the fecal indicator bacteria enterococci and fecal coliform, along with the physicochemical constituent total suspended solids (TSS), at the NYC DEP Newton Creek Microbiological Laboratory (Brooklyn, New York) and for MST markers at the USGS Ohio Water Microbiological Laboratory (OWML; Columbus, Ohio)--these results from routine samples are available at the USGS National Water Information System (NWIS) Web interface (https://waterdata.usgs.gov/nwis/qw). Data in this data release were generated from the two local investigations of NYC DEP sites TI-008 and TI-24 collected to supplement routine monitoring. At TI-008, sediment and water samples were collected along a stormwater conveyance line between Oakland Lake and Alley Creek on September 22, 2020 to conduct a sediment resuspension experiment. In May 2021, a total of 20 surface water and depth-profile samples (taken from a hole in a 7-foot submerged wastewater pipe adjacent to TI-024), along with thermal imagery, were collected adjacent to combined sewer overflow outfall TI-024.
DOI: 10.5281/zenodo.6870193
title: Hamster Vaping Manuscript Supplement

description: Manuscript supplemental results
DOI: 10.5281/zenodo.6568280
title: Hamster Vaping Manuscript Supplement

description: Manuscript supplemental results
DOI: 10.5517/ccdc.csd.cc298ztd
title: CCDC 2123804: Experimental Crystal Structure Determination

description: Related Article: Liu Yuan, Jin Liu, Kun Huang, Siyu Wang, Yi Jin, Jun Lin|2022|J.Org.Chem.|87|9171|doi:10.1021/acs.joc.2c00918
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.cc2b6nlt
title: CCDC 2151356: Experimental Crystal Structure Determination

description: Related Article: Karam B. Idrees, Zhao Li, Haomiao Xie, Kent O. Kirlikovali, Masoud Kazem-Rostami, Xingjie Wang, Xijun Wang, Tzu-Yi Tai, Timur Islamoglu, J. Fraser Stoddart, Randall Q. Snurr, Omar K. Farha|2022|J.Am.Chem.Soc.|144|12212|doi:10.1021/jacs.2c03114
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: 10.25505/fiz.icsd.cc2bdsr9
title: CSD 2157251: Experimental Crystal Structure Determination

description: Related Article: Xingjie Wang, Haomiao Xie, Julia G. Knapp, Megan C. Wasson, Yufang Wu, Kaikai Ma, Aaron E.B.S. Stone, Matthew D. Krzyaniak, Yijing Chen, Xuan Zhang, Justin M. Notestein, Michael R. Wasielewski, Omar K. Farha|2022|J.Am.Chem.Soc.|144|12092|doi:10.1021/jacs.2c02625
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2bdszj
title: CSD 2157258: Experimental Crystal Structure Determination

description: Related Article: Xingjie Wang, Haomiao Xie, Julia G. Knapp, Megan C. Wasson, Yufang Wu, Kaikai Ma, Aaron E.B.S. Stone, Matthew D. Krzyaniak, Yijing Chen, Xuan Zhang, Justin M. Notestein, Michael R. Wasielewski, Omar K. Farha|2022|J.Am.Chem.Soc.|144|12092|doi:10.1021/jacs.2c02625
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bmkj2
title: CCDC 2163754: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2022|J.Org.Chem.|87|9282|doi:10.1021/acs.joc.2c01008
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.cc2bmkl4
title: CCDC 2163756: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2022|J.Org.Chem.|87|9282|doi:10.1021/acs.joc.2c01008
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.cc2bmkm5
title: CCDC 2163757: Experimental Crystal Structure Determination

description: Related Article: Subhro Mandal, Animesh Pramanik|2022|J.Org.Chem.|87|9282|doi:10.1021/acs.joc.2c01008
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: 10.5281/zenodo.6862828
title: Global structure of magnetotail reconnection revealed by mining space magnetometer data

description: Data associated with the manuscript titled "Global structure of magnetotail reconnection revealed by mining space magnetometer data". For each of the 26 IDR events, files are included that detail: time intervals identified using the nearest-neighbor search and the resulting subset of magnetometer data and their associated weights, files containing the fit set of coefficients and parameters for the model, and the digital model output data that were used in constructing the figures. The compiled magnetometer database used in this study is available on the SPDF website. This study extended this database with the addition of MMS magnetometer data which has also been included in the Zenodo archive. The SMR and SML indices obtained from the SuperMAG web page are also included in the Zenodo archive.
DOI: 10.5281/zenodo.6870587
title: The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

description: Please see the README file in there
DOI: 10.5281/zenodo.6870586
title: The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

description: Please see the README file in there
DOI: 10.48490/ytkq-ev50
title: AR6 SROCC Data for Figure SPM.3(c): Maximum fisheries catch potential as a result of climate change
DOI: 10.5281/zenodo.6870476
title: Dataset for: Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks

description: The set of molecular dynamics trajectories generated and analyzed in the paper "Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks." <strong>Citations should refer directly to the manuscript. </strong> The preprint version is available at: https://doi.org/10.1101/2022.07.14.500085 The uploaded zip file "trajectory_data.zip" contains trajectories for the (1) apo (2) h3k27ac and (3) h3k9ac systems. In each directory is a subdirectory corresponding to the wild-type, deletion, and insertion mutations. In each of those subdirectories are 10 XTC files, which correspond to the trajectories for the 10 different simulations performed for each system, along with an AMBER-formated PRMTOP file. Solvent molecules were removed from each file, and trajectories were strided such that there is one frame per 500 ps.
description: {"references": ["https://doi.org/10.1101/2022.07.14.500085"]}
DOI: 10.5281/zenodo.6870475
title: Dataset for: Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks

description: The set of molecular dynamics trajectories generated and analyzed in the paper "Conformational and Thermodynamic Differences Underlying Wild-type and Mutant YEATS Domain Specificity for Epigenetic Marks." <strong>Citations should refer directly to the manuscript. </strong> The preprint version is available at: https://doi.org/10.1101/2022.07.14.500085 The uploaded zip file "trajectory_data.zip" contains trajectories for the (1) apo (2) h3k27ac and (3) h3k9ac systems. In each directory is a subdirectory corresponding to the wild-type, deletion, and insertion mutations. In each of those subdirectories are 10 XTC files, which correspond to the trajectories for the 10 different simulations performed for each system, along with an AMBER-formated PRMTOP file. Solvent molecules were removed from each file, and trajectories were strided such that there is one frame per 500 ps.
description: {"references": ["https://doi.org/10.1101/2022.07.14.500085"]}
DOI: 10.5281/zenodo.6468209
title: ReaLSAT, a global dataset of reservoir and lake surface area variations

description: Reservoir and Lake Surface Area Timeseries (ReaLSAT) dataset provides an unprecedented reconstruction of surface area variations of lakes and reservoirs at a global scale using Earth Observation (EO) data and novel machine learning techniques. The dataset provides monthly scale surface area variations (1984 to 2015) of 681,137 water bodies below 50°N and sizes greater than 0.1 square kilometers. The dataset contains the following files: 1) ReaLSAT.zip: A shapefile that contains the reference shape of waterbodies in the dataset. 2) monthly_timeseries.zip: contains one CSV file for each water body. The CSV file provides monthly surface area variation values. The CSV files are stored in a subfolder corresponding to each 10 degree by 10 degree cell. For example, monthly_timeseries_60_-50 folders contain CSV files of lakes that lie between 60 E and 70 E longitude, and 50S and 40 S. 3) monthly_shapes_&lt;bottom_left_lon&gt;_&lt;bottom_left_lat&gt;.zip: contains shapefile for each water body that lie within the 10 degree by 10 degree cell. The shapefile provides monthly shapes together with their time and area attributes. 4) ReaLSAT.html: a readme python notebook that provides information about reading and visualizing the dataset. The notebook also contains the code to download the data to reduce the overhead of downloading each file manually. 5) evaluation_data.zip: contains the random subsets of the dataset used for evaluation. The zip file contains a README file that describes the evaluation data. 6) generate_realsat_timeseries.ipynb: a Google Colab notebook that provides the code to generate timerseries and surface extent maps for any waterbody. 7) large_lakes.zip: The zip file contains timeseries csv as well as monthly shapes of 1120 large lakes. Please refer to the following papers to learn more about the processing pipeline used to create ReaLSAT dataset: [1] Khandelwal, Ankush, Anuj Karpatne, Praveen Ravirathinam, Rahul Ghosh, Zhihao Wei, Hilary A. Dugan, Paul C. Hanson, and Vipin Kumar. "ReaLSAT, a global dataset of reservoir and lake surface area variations." <em>Scientific data</em> 9, no. 1 (2022): 1-12. [2] Khandelwal, Ankush. "ORBIT (Ordering Based Information Transfer): A Physics Guided Machine Learning Framework to Monitor the Dynamics of Water Bodies at a Global Scale." (2019). <strong>Version Updates</strong> Version 1.4: added 1120 large lakes to the dataset and removed partial lakes that overlapped with these large lakes. Version 1.3: fixed visualization related bug in generate_realsat_timeseries.ipynb Version 1.2: added a Google Colab notebook that provides the code to generate timerseries and surface extent maps for any waterbody in ReaLSAT database.
DOI: 10.5066/p98e5nw8
title: Geospatial Datasets for the Geohydrology and Water Quality of the Northern and Central Parts of the Tug Hill Glacial Aquifer, Jefferson and Oswego Counties, North-Central New York

description: The U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation, the Tug Hill Commission, the Jefferson County Soil and Water Conservation District, the Oswego County Soil and Water Conservation District, and the Tug Hill Land Trust studied the northern and central parts of the Tug Hill glacial aquifer to better understand and explain the dynamics of the aquifer to help communities make sound policy decisions about groundwater use. This dataset includes aquifer boundaries, discharge and water quality sites, geologic sections, records of selected wells, surface water temperature sites, generalized surficial geology, and water level contours for the northern and central parts of the Tug Hill [...]
DOI: 10.5281/zenodo.6870727
title: Algoritem TPE in STD

description: Rezultati algoritmov TPE in STD
DOI: 10.5281/zenodo.6870726
title: Algoritem TPE in STD

description: Rezultati algoritmov TPE in STD
DOI: 10.6084/m9.figshare.20346426
title: Questionário para pesquisa sobre pesca e pescadores.

description: Questionário referente à pesquisa sobre pesca e pescadores artesanais, para obtenção de informações gerais sobre pesca, acidentes de trabalho e doenças ocupacionais.
DOI: 10.5066/p91x5i6l
title: Unit hydrographs of evolving urban watersheds across the United States

description: The dataset contains the land cover, climate (precipitation and air temperature), unit hydrograph and its characteristics (peak and time to peak), and study watershed boundaries. These data were applied to investigate the impacts of changes in land cover and climate on stormflow of evolving six urban watersheds, representing six different hydroclimate of the conterminous United States. Overall, the study found increasing trends in peak and decreasing trends in time to peak of unit hydrographs, suggesting larger and quicker stormflows driven by changes in land cover and climate. The long-term trends in unit hydrograph characteristics could be useful for projecting future stormflows and implementing flood forecasting and mitigation strategies.
DOI: 10.6084/m9.figshare.19213299
title: European LD reference (with blocks)

description: LD reference (correlations between pairs of genetic variants) for 1,054,330 HapMap3 variants based on 362,320 European individuals of the UK biobank.<br>Pairs of variants further than 3 cM apart are assumed to have 0 correlation. <br>And LD blocks have been defined so that correlation is 0 outside of these blocks.<br>
DOI: 10.6084/m9.figshare.19213299.v1
title: European LD reference (with blocks)

description: LD reference (correlations between pairs of genetic variants) for 1,054,330 HapMap3 variants based on 362,320 European individuals of the UK biobank.<br>Pairs of variants further than 3 cM apart are assumed to have 0 correlation. <br>And LD blocks have been defined so that correlation is 0 outside of these blocks.<br>
DOI: 10.5281/zenodo.6870770
title: DS.RFSAT.ENV-SENSORS

description: This dataset contains environmental data collected by <em>RFSAT Limited</em> and uploaded to the <strong>Threats and Hazard Information System (THIS) </strong>server hosted by the <em>Istituto Nazionale di Geofisica e Vulcanologia (INGV)</em> in the frame of the ARCH project. The sources of such data included: Over 50 air quality parameters (including forecasts) from Copernicus Atmosphere Monitoring Service (CAMS), obtained via an FTP service of the European Centre for Medium-Range Weather Forecasts (ECMWF) Air quality parameters from the <em>World Air Quality Index</em> project (https://aqicn.org and https://waqi.info/) Сurrent weather and forecasts from OpenWeatherMap Climate and air quality (incl. PM1/2.5/10, eCO2, TVOC, light, noise etc.) from Smart Citizen project Climate data (incl. temperature, humidity, pressure, wind, rainfall etc.) from Netatmo Weathermap Historical weather and air quality data from (weatherbit.io) Custom RFSAT MVP sensors built in collaboration with Analog Devices Custom RFSAT sensors built in collaboration with Turta.io The dataset contains data stored for backup purposes on RFSAT server. Those files are in CSV format, where the header line provides an explanation of the fields. Since amount of available data worldwide might have overloaded the capabilities of the THIS server repository, acquisition has been limited to areas of interest for each of the pilot cities, specifically: Rome [41.975615, 12.377350, 41.795675, 12.632782] Valencia [39.7187, 0.1573, 39.0918, -0.8075] Camerino [43.062168, 12.928046, 43.195119, 13.181235] Bratislava [48.181925, 17.120197, 48.139325, 16.970385] Dublin [53.424156, -6.464456, 53.253756, -6.105984] Athens [38.050994, 23.624697, 37.857165, 23.826571] Maribor [46.574865, 15.586470, 46.511919, 15.709023] <strong>NOTE that:</strong> ONLY files for data sources that contain info within pre-defined geographical areas requested by end users are provided (refer to definition of those areas above) Data from core ARCH cities has started nearly two years ago , while Maribor has been added to the list only in June 2022 after the Dialog Conference in Thessaloniki. Data from Netatmo Weathermap covers more than six past years, having included also historical data <strong>The data acquisition still continues and hence subsequent updates can be expected in the future.</strong>
DOI: 10.5281/zenodo.6870769
title: DS.RFSAT.ENV-SENSORS

description: This dataset contains environmental data collected by <em>RFSAT Limited</em> and uploaded to the <strong>Threats and Hazard Information System (THIS) </strong>server hosted by the <em>Istituto Nazionale di Geofisica e Vulcanologia (INGV)</em> in the frame of the ARCH project. The sources of such data included: Over 50 air quality parameters (including forecasts) from Copernicus Atmosphere Monitoring Service (CAMS), obtained via an FTP service of the European Centre for Medium-Range Weather Forecasts (ECMWF) Air quality parameters from the <em>World Air Quality Index</em> project (https://aqicn.org and https://waqi.info/) Сurrent weather and forecasts from OpenWeatherMap Climate and air quality (incl. PM1/2.5/10, eCO2, TVOC, light, noise etc.) from Smart Citizen project Climate data (incl. temperature, humidity, pressure, wind, rainfall etc.) from Netatmo Weathermap Historical weather and air quality data from (weatherbit.io) Custom RFSAT MVP sensors built in collaboration with Analog Devices Custom RFSAT sensors built in collaboration with Turta.io The dataset contains data stored for backup purposes on RFSAT server. Those files are in CSV format, where the header line provides an explanation of the fields. Since amount of available data worldwide might have overloaded the capabilities of the THIS server repository, acquisition has been limited to areas of interest for each of the pilot cities, specifically: Rome [41.975615, 12.377350, 41.795675, 12.632782] Valencia [39.7187, 0.1573, 39.0918, -0.8075] Camerino [43.062168, 12.928046, 43.195119, 13.181235] Bratislava [48.181925, 17.120197, 48.139325, 16.970385] Dublin [53.424156, -6.464456, 53.253756, -6.105984] Athens [38.050994, 23.624697, 37.857165, 23.826571] Maribor [46.574865, 15.586470, 46.511919, 15.709023] <strong>NOTE that:</strong> ONLY files for data sources that contain info within pre-defined geographical areas requested by end users are provided (refer to definition of those areas above) Data from core ARCH cities has started nearly two years ago , while Maribor has been added to the list only in June 2022 after the Dialog Conference in Thessaloniki. Data from Netatmo Weathermap covers more than six past years, having included also historical data <strong>The data acquisition still continues and hence subsequent updates can be expected in the future.</strong>
DOI: 10.18434/mds2-2682
title: Josephson arbitrary waveform synthesizer for ac voltage calibration, CPEM 2022
DOI: 10.6084/m9.figshare.20346474
title: A04_R1

description: DATA
DOI: 10.6084/m9.figshare.20346474.v1
title: A04_R1

description: DATA