cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10776555
title: Coastal Wetland Crab Image Dataset and Image Processing Model Weights

description: This data was collected from the distribution range of mangroves along the coast of China and has been randomly selected and manually corrected to be labeled as a crab image analysis dataset. The weights of deep learning models trained on YOLOv5/v8 and EfficientNet are also uploaded simultaneously. Additionally, it includes the necessary test datasets and some test results. Please cite when using this dataset, and contact the administrator if you need help. The specific directories are as follows:

- R-crab: Contains code needed to test model performance, with the subfolder data containing the test dataset required. It includes (1) crab-man as human-marked references, crab-ref as model detection results. (2) luoyuan-burrow for the detection results of crab burrows in the Luoyuan area case study, and luoyuan-crab for crab detection results, including crab classification, localization, and carapace width information. (3) method-test for testing different methods, i.e., whether to use a two-stage detection model. (4) size-conf-test records the model detection results under different image input sizes and confidence threshold levels. (1), (3), and (4) are completed in Out-of-sample data, while (2) is completed in Luoyuan. fig_attr.csv records the test results of image attributes on detection accuracy. label_results.csv records the comparison results between traits measured manually using ImageJ software and our designed model for detecting crab carapace width. luoyuan_list.csv records the numbering information of Luoyuan sampling plots.- Aiweights: Contains model weights trained based on Object detection data, with cpm-model under v8n-seg-crab.pt for YOLOv8 trained to extract crab carapace width. Sfc-model under adam20.pth is a two-stage detection model trained based on EfficientNet. Trained_weights under burrow-baseline is a crab burrow detection model trained based on our improved YOLOv5 (improvements stored at https://github.com/GuuX29/crab-yolo-add, same below); frame-s6-2560.pt is a plot frame detection model for obtaining standard 50*50cm plot images; s-simam-20.pt and x-simam-20.pt are both for crab detection and classification models, with x having higher accuracy.- Luoyuan: crop stores standardized processed Luoyuan image data, numbered as above, test stores detection results, same as R-crab.- Object detection: Contains cropped 640 pixels crab field sampling images, with images in the images folder and bounding box labels in the labels folder, divided into training and testing at a 9:1 ratio, train.txt and val.txt record the allocation information.- Out-of-sample: Records 100 independent test images not used to train the model, stored in images, crab-man, and crab-ref are the same as in R-crab.- Segmentation: Stores image data used to test model detection of crab carapace width, with results also stored in R-crab.

We hope this data and method will benefit the progress of research in this field. For any suggestions for improvement and help with usage, please contact the administrator. guuxuan1994@gmail.com
DOI: 10.5281/zenodo.10776556
title: Coastal Wetland Crab Image Dataset and Image Processing Model Weights

description: This data was collected from the distribution range of mangroves along the coast of China and has been randomly selected and manually corrected to be labeled as a crab image analysis dataset. The weights of deep learning models trained on YOLOv5/v8 and EfficientNet are also uploaded simultaneously. Additionally, it includes the necessary test datasets and some test results. Please cite when using this dataset, and contact the administrator if you need help. The specific directories are as follows:

- R-crab: Contains code needed to test model performance, with the subfolder data containing the test dataset required. It includes (1) crab-man as human-marked references, crab-ref as model detection results. (2) luoyuan-burrow for the detection results of crab burrows in the Luoyuan area case study, and luoyuan-crab for crab detection results, including crab classification, localization, and carapace width information. (3) method-test for testing different methods, i.e., whether to use a two-stage detection model. (4) size-conf-test records the model detection results under different image input sizes and confidence threshold levels. (1), (3), and (4) are completed in Out-of-sample data, while (2) is completed in Luoyuan. fig_attr.csv records the test results of image attributes on detection accuracy. label_results.csv records the comparison results between traits measured manually using ImageJ software and our designed model for detecting crab carapace width. luoyuan_list.csv records the numbering information of Luoyuan sampling plots.- Aiweights: Contains model weights trained based on Object detection data, with cpm-model under v8n-seg-crab.pt for YOLOv8 trained to extract crab carapace width. Sfc-model under adam20.pth is a two-stage detection model trained based on EfficientNet. Trained_weights under burrow-baseline is a crab burrow detection model trained based on our improved YOLOv5 (improvements stored at https://github.com/GuuX29/crab-yolo-add, same below); frame-s6-2560.pt is a plot frame detection model for obtaining standard 50*50cm plot images; s-simam-20.pt and x-simam-20.pt are both for crab detection and classification models, with x having higher accuracy.- Luoyuan: crop stores standardized processed Luoyuan image data, numbered as above, test stores detection results, same as R-crab.- Object detection: Contains cropped 640 pixels crab field sampling images, with images in the images folder and bounding box labels in the labels folder, divided into training and testing at a 9:1 ratio, train.txt and val.txt record the allocation information.- Out-of-sample: Records 100 independent test images not used to train the model, stored in images, crab-man, and crab-ref are the same as in R-crab.- Segmentation: Stores image data used to test model detection of crab carapace width, with results also stored in R-crab.

We hope this data and method will benefit the progress of research in this field. For any suggestions for improvement and help with usage, please contact the administrator. guuxuan1994@gmail.com
DOI: 10.5281/zenodo.10864758
title: Data for axial de-scanning microscope paper

description: Fig2_bead_data.zip

Bead data for Fig. 2c-d, regions within 5 μm around the light-sheet waist were cropped. Bead data are without deconvolution.

Fig3_cell_data.zip

Cell data for Fig. 3. Each cell data contain a 4D data stack for each color channel. Cell data are after deconvolution and interpolation as desribed in the paper.
DOI: 10.5281/zenodo.10864759
title: Data for axial de-scanning microscope paper

description: Fig2_bead_data.zip

Bead data for Fig. 2c-d, regions within 5 μm around the light-sheet waist were cropped. Bead data are without deconvolution.

Fig3_cell_data.zip

Cell data for Fig. 3. Each cell data contain a 4D data stack for each color channel. Cell data are after deconvolution and interpolation as desribed in the paper.
DOI: 10.6084/m9.figshare.25466527
title: Raw Data Required, and R codes for review purpose only_BMP family

description: <b>The</b><b> prognostic</b><b> significance and </b><b>immune characteristics</b><b> of </b><b>bone morphogenetic protein</b><b>s (BMPs) family: A pan-cancer </b><b>multi-omics </b><b>analysis</b>
DOI: 10.6084/m9.figshare.25466527.v1
title: Raw Data Required, and R codes for review purpose only_BMP family

description: <b>The</b><b> prognostic</b><b> significance and </b><b>immune characteristics</b><b> of </b><b>bone morphogenetic protein</b><b>s (BMPs) family: A pan-cancer </b><b>multi-omics </b><b>analysis</b>
DOI: 10.23719/1529594
title: Metadata

description: Dataset includes CMAQ predicted results.
DOI: 10.1594/pangaea.195997
title: Physical oceanography from SeaSoar CTDs during DISCOVERY cruise D190

description: University of Liverpool Department of Earth, Ocean and Ecological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.56966
title: PKDB150133
DOI: 10.1594/pangaea.194769
title: Surface oceanographic data during cruise DI190

description: University of Liverpool Department of Earth, Ocean and Ecological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.290757
title: Physical oceanography during DISCOVERY cruise 74DI223 on section AR12

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.314581
title: Continuous thermosalinograph oceanography along cruise track DI223
DOI: 10.1594/pangaea.418189
title: Bathymetry along track line of CHARLES DARWIN cruise 74AB59_1
DOI: 10.1594/pangaea.721004
title: (Table 1) Magnetic hysteresis parameters for samples from ODP Hole 197-1203A

description: The signal/noise ratio (defined as the ratio of the total Ms to the Ms of the AGFM P1-type probe) is larger than five for all data points
DOI: 10.1594/pangaea.415635
title: Continuous meteorological surface measurement during CHARLES DARWIN cruise 74AB59_1
DOI: 10.1594/pangaea.415647
title: Continuous meteorological surface measurement during DISCOVERY cruise 74DI223
DOI: 10.1594/pangaea.701514
title: Water temperature profiles from 42 XBT drops along the track of cruise DI190

description: University of Liverpool Department of Earth, Ocean and Ecological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.721007
title: (Table 2) Nominal paleointensity values from submarine basaltic glass of ODP Hole 197-1203A
DOI: 10.1594/pangaea.842053
title: (Table 1) Ice thickness of new subglacial lakes identified in the ICECAP RES data and of previously known subglacial lakes

description: Subglacial hydrology in East Antarctica is poorly understood, yet may be critical to the manner in which ice flows. Data from a new regional airborne geophysical survey (ICECAP) have transformed our understanding of the topography and glaciology associated with the 287,000 km**2 Aurora Subglacial Basin in East Antarctica. Using these data, in conjunction with numerical ice sheet modeling, we present a suite of analyses that demonstrate the potential of the 1000 km-long basin as a route for subglacial water drainage from the ice sheet interior to the ice sheet margin. We present results from our analysis of basal topography, bed roughness and radar power reflectance and from our modeling of ice sheet flow and basal ice temperatures. Although no clear-cut subglacial lakes are found within the Aurora Basin itself, dozens of lake-like reflectors are observed that, in conjunction with other results reported here, support the hypothesis that the basin acts as a pathway allowing discharge from subglacial lakes near the Dome C ice divide to reach the coast via the Totten Glacier.
description: Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
description: Supplement to: Wright, Andrew P; Young, Duncan A; Roberts, Jason L; Schroeder, Dustin M; Bamber, Jonathan L; Dowdeswell, Julian A; Young, Neal W; Le Brocq, Anne M; Warner, Roland C; Payne, Antony J; Blankenship, Donald D; van Ommen, Tas D; Siegert, Martin J (2012): Evidence of a hydrological connection between the ice divide and ice sheet margin in the Aurora Subglacial Basin, East Antarctica. Journal of Geophysical Research, 117(F1), F01033
DOI: 10.1594/pangaea.823542
title: Physical oceanography during DISCOVERY cruise D190

description: University of Liverpool Department of Earth, Ocean and Ecological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.832601
title: (Table S1) FMR and rock magnetic parameters for upper Paleocene to lower Eocene strata, Site Ancora

description: Previous workers identified a magnetically anomalous clay layer deposited on the northern United States Atlantic Coastal Plain during the Paleocene-Eocene thermal maximum (PETM). The finding inspired the highly controversial hypothesis that a cometary impact triggered the PETM. Here we present ferromagnetic resonance (FMR), isothermal and anhysteretic remanent magnetization, first-order reversal curve, and transmission electron microscopy analyses of late Paleocene and early Eocene sediments in drill core from Ancora, New Jersey. A novel paleogeographic analysis applying a recent paleomagnetic pole from the Faeroe Islands indicates that New Jersey during the initial Eocene had a ~6°-9° lower paleolatitude (~27.3° for Ancora) and a more zonal shoreline trace than in conventional reconstructions. Our investigations of the PETM clay from Ancora reveal abundant magnetite nanoparticles bearing signature traits of crystals produced by magnetotactic bacteria. This result, the first identification of ancient biogenic magnetite using FMR, argues that the anomalous magnetic properties of the PETM sediments are not produced by an impact. They instead reflect environmental changes along the eastern margin of North America during the PETM that led to enhanced production and/or preservation of magnetofossils.
description: DEPTH, sediment/rock [m] is given in mbsf.
description: Supplement to: Kopp, Robert E; Raub, Timothy; Schumann, Dirk; Vali, Hojatollah; Smirnov, Alexei; Kirschvink, Joseph L (2007): Magnetofossil spike during the Paleocene-Eocene thermal maximum: Ferromagnetic resonance, rock magnetic, and electron microscopy evidence from Ancora, New Jersey, United States. Paleoceanography, 22(4), PA4103
DOI: 10.1594/pangaea.829546
title: Physical oceanography measured on water bottle samples during DISCOVERY cruise D190

description: University of Liverpool Department of Earth, Ocean and Ecological Sciences. Authorship was originally "BODC" and was changed by request of the BODC.
DOI: 10.1594/pangaea.832085
title: (Table 1a) Biostratigraphy of Umbria-Marche composite section

description: Stratigraphic information was obtained from Deino et al. (1997), Montanari et al. (1997a, 1997b), Mader et al. (2001), and Hilgen et al. (2005).
DOI: 10.1594/pangaea.836839
title: Hydrochemistry measured on water bottle samples during DISCOVERY cruise D223 on section AR12

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.832086
title: (Table 1b) Biostratigraphy of western Monferrato area

description: Stratigraphic information was obtained from Mühlstrasser (2002).
DOI: 10.1594/pangaea.832087
title: (Table 1c) Stratigraphy of Veneto-Friuli Molasse Basin

description: Stratigraphic information was obtained from Massari et al. (1986). AGE [ka BP] gives the Sr age.
DOI: 10.1594/pangaea.832088
title: (Table 1d) Biostratigraphy of Slovenia samples

description: Stratigraphic information was obtained from Jelen and Rifelj (2002).
DOI: 10.1594/pangaea.832092
title: (Table 2) Stable carbon and oxygen isotope composition of foraminifera from the Umbria-Marche composite section
DOI: 10.1594/pangaea.832093
title: (Table 3) Sr and Nd isotopic composition of sediments and fossils from Miocene Mediterranean samples
DOI: 10.1594/pangaea.840334
title: Physical oceanography during POLARSTERN cruise ANT-XXVIII/3
DOI: 10.1594/pangaea.874087
title: A global dataset of photosynthesis-irradiance parameters for marine phytoplankton

description: The MAPPS global database of photosynthesis-irradiance (P-E) parameters consists of over 5000 P-E experiments that provides information on the spatio-temporal variability in the two P-E parameters (the assimilation number, and the initial slope) that are fundamental inputs for models of marine primary production that use chlorophyll as the state variable. The experiments were carried out by an international group of research scientists to examine the basin-scale variability in the photophysiological response of marine phytoplankton over a range of oceanic regimes (from the oligotrophic gyres to productive shelf systems) and covers several decades. These data can be used to improve the assignment of P-E parameters in the estimation of marine primary production using satellite data.
description: Supplement to: Bouman, Heather A; Platt, Trevor; Doblin, Martina A; Figueiras, Francisco G; Gudmundsson, Kristinn; Gudfinnsson, Hafsteinn G; Huang, Bangqin; Hickman, Anna; Hiscock, Michael R; Jackson, Thomas; Lutz, Vivian A; Melin, Frederic; Rey, Francisco; Pepin, Pierre; Segura, Valeria; Tilstone, Gavin; van Dongen-Vogels, Virginie; Sathyendranath, Shubha (2018): Photosynthesis-irradiance parameters of marine phytoplankton: synthesis of a global data set. Earth System Science Data, 10, 251-266
DOI: 10.1594/pangaea.876119
title: Daily streamflow of Rofenache (Vent) 1967-2014
DOI: 10.1594/pangaea.855830
title: Barite accumulation rates throughout Pliocene-Pleistocene in Eastern Equatorial Pacific at ODP Site 138-849

description: Export production is an important component of the carbon cycle, modulating the climate system by transferring CO2 from the atmosphere to the deep ocean via the biological pump. Here we use barite accumulation rates to reconstruct export production in the eastern equatorial Pacific over the past 4.3 Ma. We find that export production fluctuated considerably on multiple time scales. Export production was on average higher (51 g C/m**2/yr) during the Pliocene than the Pleistocene (40 g C/m**2/yr), decreasing between 3 and 1 Ma (from more than 60 to 20 g C/m**2/yr) followed by an increase over the last million years. These trends likely reflect basin-scale changes in nutrient inventory and ocean circulation. Our record reveals decoupling between export production and temperatures on these long (million years) time scale. On orbital time scales, export production was generally higher during cold periods (glacial maxima) between 4.3 and 1.1 Ma. This could be due to stronger wind stress and higher upwelling rates during glacial periods. A shift in the timing of maximum export production to deglaciations is seen in the last ~1.1 million years. Results from this study suggest that, in the eastern equatorial Pacific, mechanisms that affect nutrient supply and/or ecosystem structure and in turn carbon export on orbital time scales differ from those operating on longer time scales and that processes linking export production and climate-modulated oceanic conditions changed about 1.1 million years ago. These observations should be accounted for in climate models to ensure better predictions of future climate change.
description: Supplement to: Ma, Zhongwu; Ravelo, Ana Christina; Liu, Zhonghui; Zhou, Liping; Paytan, Adina (2015): Export production fluctuations in the eastern Equatorial Pacific during the Pliocene-Pleistocene: Reconstruction using barite accumulation rates. Paleoceanography
DOI: 10.1594/pangaea.863977
title: Processed 2 minutes-averaged continuous VM-ADCP (vessel-mounted Acoustic Doppler Current Profiler) profiles during POLARSTERN cruise ANT-XXVIII/3

description: This data set was obtained during the R. V. POLARSTERN cruise ANT-XXVIII/3. Current velocities were measured nearly continuously when outside territorial waters along the ship's track with a vessel-mounted TRD Instruments' 153.6-kHz Ocean Surveyor ADCP. The transducers were located 11 m below the water line and were protected against ice floes by an acoustically transparent plastic window. The current measurements were made using a pulse of 2s and vertical bin length of 4 m. The ship's velocity was calculated from position fixes obtained by the Global Positioning System (GPS). Heading, roll and pitch data from the ship's gyro platforms and the navigation data were used to convert the ADCP velocities into earth coordinates. Accuracy of the ADCP velocities mainly depends on the quality of the position fixes and the ship's heading data. Further errors stem from a misalignment of the transducer with the ship's centerline. The ADCP data were processed using the Ocean Surveyor Sputum Interpreter (OSSI) software developed by GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. The averaging interval was set to 120 seconds. The reference layer was set to bins 5 to 16 avoiding near surface effects and biases near bin 1. Sampling interval setting: 2s; Number of bins: 80; Bin length: 4m; Pulse length: 4m; Blank beyond transmit length: 4m. Data processing setting: Top reference bin: 5; Bottom reference bin: 16; Average: 120s; Misalignment amplitude: 1.0276 +/- 0.1611, phase: 0.8100 +/- 0.7190.The precision for single ping and 4m cell size reported by TRDI is 0.30m/s. Resulting from the single ping precision and the number of pings (most of the time 36) during 120seconds the velocity accuracy is nearly 0.05m/s. (Velocity accuracy = single ping precision divided by square root of the number of pings).
DOI: 10.1594/pangaea.876489
title: Air temperature time series from weather station Vent, 2012
DOI: 10.1594/pangaea.876490
title: Air temperature time series from weather station Vent, 2013
DOI: 10.1594/pangaea.876491
title: Air temperature time series from weather station Vent, 2014
DOI: 10.1594/pangaea.876492
title: Air temperature time series from weather station Vent, 2015
DOI: 10.1594/pangaea.876493
title: Air temperature time series from weather station Vent, 2016
DOI: 10.1594/pangaea.876502
title: Daily summary of air temperature measurements at weather station Vent, 2012
DOI: 10.1594/pangaea.876503
title: Daily summary of air temperature measurements at weather station Vent, 2013
DOI: 10.1594/pangaea.876504
title: Daily summary of air temperature measurements at weather station Vent, 2014
DOI: 10.1594/pangaea.876505
title: Daily summary of air temperature measurements at weather station Vent, 2015
DOI: 10.1594/pangaea.876506
title: Daily summary of air temperature measurements at weather station Vent, 2016
DOI: 10.1594/pangaea.876522
title: Monthly precipitation at gauge station Guslar, 1964-10 to 1981-09

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876523
title: Monthly precipitation at gauge station Hintereis_Station, 1952-01-01 to 2016-12-31

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876524
title: Monthly precipitation at gauge station Hintereisalm, 1965-01 to 1987-09

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876525
title: Monthly precipitation at gauge station Hochjochhospiz, 1952-01 to 2016-12

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876526
title: Monthly precipitation at gauge station Latschbloder, 1965-01 to 2016-12

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876527
title: Monthly precipitation at gauge station Proviantdepot, 1952-01 to 2016-12

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876528
title: Monthly precipitation at gauge station Rofenberg, 1952-01 to 2016-12

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).
DOI: 10.1594/pangaea.876529
title: Monthly precipitation at gauge station Saikogel, 1963-01 to 1980-12

description: The rain gauge is owned by the Hydrological Office of Tirol, but operated by the Institute of Atmospheric and Cryospheric Sciences (ACINN, University of Innsbruck).