cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20069327
title: DATA for ''Dissolved organic matter mediates the effects of warming and inorganic nutrients on a lake planktonic food web'' DOI: 10.1002/LNO.12177

description: Abstract: Lakes are undergoing striking physicochemical changes globally, including co-occurring increases in dissolved organic carbon and nutrient concentrations, water color, and surface temperature. While several experimental studies of lake browning and warming have been conducted over the last decade, knowledge remains limited as to the structural and functional responses of multitrophic plankton communities, especially under environmentally relevant physicochemical conditions. Using reverse osmosis to manipulate naturally-occurring dissolved organic matter (DOM), we performed an enclosure experiment to evaluate the response of a planktonic food web (zooplankton–phytoplankton–bacterioplankton) to individual and combined increases in DOM and temperature, while accounting for changes in inorganic nutrients associated with DOM enrichment. We found that concomitant increases in DOM and temperature or inorganic nutrients elicited substantially greater biotic effects, but infrequently led to interactive effects. Overall, major plankton groups responded differently to manipulated factors, with most effects observed in standing stocks, community composition, and trophic structure, while metabolic (primary production and respiration) rates appeared to be generally less responsive. DOM enrichment had a clear stimulatory effect on phytoplankton, but weakly affected zooplankton. More specifically, DOM enrichment, alone or combined with inorganic nutrient amendments, decreased zooplankton:chlorophyll-<em>a</em> ratios, implying a reduced trophic transfer efficiency and altered trophic structure. Warming generally increased bacterial abundance and cyanobacterial dominance, especially under DOM-enriched conditions. Collectively, these results demonstrate that increasing local DOM, even by only ~2 mgC/L, can enhance plankton responses to rising temperature or inorganic nutrients in the near-surface layer of a clearwater lake, with potential implications for ecosystems facing co-occurring environmental changes.
DOI: 10.6084/m9.figshare.20069327.v2
title: DATA for ''Dissolved organic matter mediates the effects of warming and inorganic nutrients on a lake planktonic food web'' DOI: 10.1002/LNO.12177

description: Abstract: Lakes are undergoing striking physicochemical changes globally, including co-occurring increases in dissolved organic carbon and nutrient concentrations, water color, and surface temperature. While several experimental studies of lake browning and warming have been conducted over the last decade, knowledge remains limited as to the structural and functional responses of multitrophic plankton communities, especially under environmentally relevant physicochemical conditions. Using reverse osmosis to manipulate naturally-occurring dissolved organic matter (DOM), we performed an enclosure experiment to evaluate the response of a planktonic food web (zooplankton–phytoplankton–bacterioplankton) to individual and combined increases in DOM and temperature, while accounting for changes in inorganic nutrients associated with DOM enrichment. We found that concomitant increases in DOM and temperature or inorganic nutrients elicited substantially greater biotic effects, but infrequently led to interactive effects. Overall, major plankton groups responded differently to manipulated factors, with most effects observed in standing stocks, community composition, and trophic structure, while metabolic (primary production and respiration) rates appeared to be generally less responsive. DOM enrichment had a clear stimulatory effect on phytoplankton, but weakly affected zooplankton. More specifically, DOM enrichment, alone or combined with inorganic nutrient amendments, decreased zooplankton:chlorophyll-<em>a</em> ratios, implying a reduced trophic transfer efficiency and altered trophic structure. Warming generally increased bacterial abundance and cyanobacterial dominance, especially under DOM-enriched conditions. Collectively, these results demonstrate that increasing local DOM, even by only ~2 mgC/L, can enhance plankton responses to rising temperature or inorganic nutrients in the near-surface layer of a clearwater lake, with potential implications for ecosystems facing co-occurring environmental changes.
DOI: 10.6084/m9.figshare.20069327.v1
title: DATA for Hébert et al. 2022 L&O ''Dissolved organic matter mediates the effects of warming and inorganic nutrients on a lake planktonic food web''

description: Abstract: Lakes are undergoing striking physicochemical changes globally, including co-occurring increases in dissolved organic carbon and nutrient concentrations, water color, and surface temperature. While several experimental studies of lake browning and warming have been conducted over the last decade, knowledge remains limited as to the structural and functional responses of multitrophic plankton communities, especially under environmentally relevant physicochemical conditions. Using reverse osmosis to manipulate naturally-occurring dissolved organic matter (DOM), we performed an enclosure experiment to evaluate the response of a planktonic food web (zooplankton–phytoplankton–bacterioplankton) to individual and combined increases in DOM and temperature, while accounting for changes in inorganic nutrients associated with DOM enrichment. We found that concomitant increases in DOM and temperature or inorganic nutrients elicited substantially greater biotic effects, but infrequently led to interactive effects. Overall, major plankton groups responded differently to manipulated factors, with most effects observed in standing stocks, community composition, and trophic structure, while metabolic (primary production and respiration) rates appeared to be generally less responsive. DOM enrichment had a clear stimulatory effect on phytoplankton, but weakly affected zooplankton. More specifically, DOM enrichment, alone or combined with inorganic nutrient amendments, decreased zooplankton:chlorophyll-<em>a</em> ratios, implying a reduced trophic transfer efficiency and altered trophic structure. Warming generally increased bacterial abundance and cyanobacterial dominance, especially under DOM-enriched conditions. Collectively, these results demonstrate that increasing local DOM, even by only ~2 mgC/L, can enhance plankton responses to rising temperature or inorganic nutrients in the near-surface layer of a clearwater lake, with potential implications for ecosystems facing co-occurring environmental changes.
DOI: 10.5517/ccdc.csd.cc2869c5
title: CCDC 2091426: Experimental Crystal Structure Determination

description: Related Article: Weijia Lu, Yanqiu Zhang, Yawei Li, Shengtao Ye, Jun Luo, Lingyi Kong, Wenjun Xu|2022|Chin.Chem.Lett.|33|4121|doi:10.1016/j.cclet.2021.11.011
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/ds/2042573
title: 📊Glove twitter 27B=25d+50d+100d+200d_42B=300d NLP
DOI: 10.5281/zenodo.6653675
title: Tiny-ImageNet-R

description: Tiny-ImageNet-R, is a down-sampled subset of ImageNet-R(enditions) imagenet-r. It contains roughly 12,000 samples categorized in 64 classes (a subset of Tiny-ImageNet classes), spread across multiple visual domains such as art, cartoons, sculptures, origami, graffiti, and embroidery.
DOI: 10.5281/zenodo.6653674
title: Tiny-ImageNet-R

description: Tiny-ImageNet-R, is a down-sampled subset of ImageNet-R(enditions) imagenet-r. It contains roughly 12,000 samples categorized in 64 classes (a subset of Tiny-ImageNet classes), spread across multiple visual domains such as art, cartoons, sculptures, origami, graffiti, and embroidery.
DOI: 10.6084/m9.figshare.20078996
title: RosseTTAFold prediction.zip

description: Seed sequences and RoseTTAFold structural predictions.
DOI: 10.6084/m9.figshare.20078996.v2
title: RosseTTAFold prediction.zip

description: Seed sequences and RoseTTAFold structural predictions.
DOI: 10.6084/m9.figshare.20078996.v1
title: RosseTTAFold prediction.zip

description: Seed sequences and RoseTTAFold structural predictions.
DOI: 10.6084/m9.figshare.20043374.v5
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based ASD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents.
DOI: 10.6073/pasta/1cd6aa64ba33b68771a5a7dd210def36
title: Frog population plots (El Verde and Bisley)

description: Population records were compiled for the tropical frog, Eleutherodactylus coqui, by conducting four-night censuses of four 20 X 20 m long-term study plots in the Luquillo Experimental Forest of Puerto Rico between 1987 and 2017.
DOI: 10.6084/m9.figshare.20079053.v1
title: SI.pdf

description: Figure S1-S29 <br> [ <strong>Sequence similarity network and protein structure prediction provide evolutionary insights into the microbial ferrous iron oxidation pathways</strong>]
DOI: 10.5281/zenodo.6650115
title: PorTis

description: PorTis is a wholly new nanopore signal dataset consisting of over two million nanopore signal events generated from the analysis of bulk, unlabeled protein mixtures that were extracted from different classes of human tissue (heart, aorta, and adrenal).
DOI: 10.17632/s96r5f4j6r.1
title: Winter Fog Data Product for South Asia derived using satellite data

description: We are making available to the community a high resolution winter fog data record for South Asia derived using MODIS satellite observations. This data record results from our peer-reviewed publication in Remote Sensing of Environment, titled "Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020" (see citation at the bottom).

The fog dataset consists of two folders namely "Fog detection dataset 2020-21" and "Fog Droplet Size". The folder "Fog detection dataset 2020-21" contains daily data for night-time fog detection maps for the period 1 December 2020 - 31 January 2021 at ~1 km X 1 km spatial resolution over South Asia bounded by 70°E - 95°E, 20°N - 33°N. This dataset is derived from Aqua/MODIS infrared emissivity dataset. For the complete description of the dataset and detection algorithms, refer to our article "Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020", published in the journal "Remote Sensing of Environment". 

The dataset is in the geotiff format. Each entry in the data is 0, 1, or 100; where '0' indicates the absence of fog, '1' indicates the presence of fog and the '100' represents the unavailability of the data from MODIS. 

We also simulated the Cloud Effective Radius (CER) which is a representation of the night-time fog/low-stratus droplet size in micrometers. In case of no fog the value of CER is NaN and is represented by '-999'. The annual average (December-January) CER is included in the folder "Fog droplet size". 

Please cite our paper when using the fog dataset-
M. K. Singh and R. Gautam, Developing a long-term high-resolution winter fog climatology over south Asia using satellite observations from 2002 to 2020, Remote Sensing of Environment, 2022 (in press).
DOI: 10.6084/m9.figshare.20079053.v2
title: SI.pdf

description: Figure S1-S29 <br> [ <strong>Sequence similarity network and protein structure prediction provide evolutionary insights into the microbial ferrous iron oxidation pathways</strong>]
DOI: 10.5522/04/19845523
title: Atomistic Modeling of the Electrical Conductivity of Single-Walled Carbon Nanotube Junctions

description: A compressed directory containing the data and analysis scripts used generate the main figures in our publication. <br> As described in our publication, the DFTB+NEGF approach is employed to calculate the electrical conductivity of carbon nanotube junction structures. The generated junction structures themselves, along with the template structures used to generate them are available in this archive.
DOI: 10.5281/zenodo.6653774
title: CM1 files for JGR-Atmospheres Paper Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment

description: Initial conditions to run the CM1 model simulations used in the JGR-Atmospheres Paper <em>Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment</em>. The namelist.input file contains the initial conditions used to run the simulations, and the input sounding files (input_sounding_st_plume, input_sounding_st_noplume, input_sounding_dt_plume, input_sounding_dt_noplume) are the initial soundings used to run the CM1 model for each of the four different stratospheric environments.
DOI: 10.5281/zenodo.6653773
title: CM1 files for JGR-Atmospheres Paper Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment

description: Initial conditions to run the CM1 model simulations used in the JGR-Atmospheres Paper <em>Sensitivities of Cross-Tropopause Transport in Midlatitude Overshooting Convection to the Lower Stratosphere Environment</em>. The namelist.input file contains the initial conditions used to run the simulations, and the input sounding files (input_sounding_st_plume, input_sounding_st_noplume, input_sounding_dt_plume, input_sounding_dt_noplume) are the initial soundings used to run the CM1 model for each of the four different stratospheric environments.
DOI: 10.6084/m9.figshare.20043374.v6
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based ASD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents.
DOI: 10.6084/m9.figshare.20043374.v7
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based ASD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents.
DOI: 10.5066/p9krsnu7
title: Spatial Coverage for Estimated Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA (version 1.1, June 2022)

description: The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46 degrees 21'55" N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the percent of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R squared) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile. The spatial coverage can be accessed multiple ways. It is provided here as a downloadable shapefile ("Maine_Mean_August_Baseflow_Map.zip"). The service definition file ("Maine_Mean_August_Baseflow_Map.sd") can be downloaded and extracted and contains an ArcGIS desktop document loaded with the spatial coverage layer that has configured symbology and pop-up information used for the web map service. It is also published as an ArcGIS online Web Map Service (WMS) layer that can be accessed directly by clicking the link under Related External Resources below. In addition, it is hosted as a state map layer on the StreamStats web application for Maine and can be accessed by going to https://streamstats.usgs.gov/ss/. First release: April 2022 Revised: June 2022 (ver. 1.1)
DOI: 10.6084/m9.figshare.20081324
title: Comprehensive Database of 2020 Yellowstone riparian study.xlsx

description: This is the data base for the study: <strong>Large ungulate influences on composition and diversity of riparian plant communities in Yellowstone National Park</strong> by J Boone Kauffman et al. 2022 (In Review)
DOI: 10.5281/zenodo.6653772
title: End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

description: We propose the end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidences and predicting a truthfulness label (i.e., support, refute and not enough information), and to generate a rationalization statement to explain the reasoning and ruling process. To support this research, we construct MOCHEG, a large-scale dataset consisting of 21,184 claims where each claim is annotated with a truthfulness label and ruling statement, with 43,148 text evidences and 15,373 image evidences.
description: The complete dataset can be accessed from http://nlplab1.cs.vt.edu/~menglong/project/multimodal/fact_checking/MOCHEG/dataset/. The paper is in https://arxiv.org/abs/2205.12487. The version on the zenodo website does not contain the images.
DOI: 10.7284/141550
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise PS2009 using a Hawaii UHDAS instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141551
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PS2009 using a SeaBird SBE-911+ instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141556
title: Fluorometer data collected during research cruise PS2009 using a Turner 10-AU instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141553
title: GNSS (Global Navigation Satellite System) data collected during research cruise PS2009 using a Trimble ABX-Two instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141557
title: GNSS (Global Navigation Satellite System) data collected during research cruise PS2009 using a Trimble SPS351 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141559
title: GNSS (Global Navigation Satellite System) data collected during research cruise PS2009 using a Trimble BX982 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141552
title: Gyrocompass data collected during research cruise PS2009 using a Sperry MK-37 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141554
title: Meteorological Station data collected during research cruise PS2009 using a RMYoung 92000 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141562
title: Speedlog data collected during research cruise PS2009 using a Furuno DS-50 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141560
title: Transmissometer data collected during research cruise PS2009 using a WETLabs C-Star instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/141558
title: TSG (Thermosalinograph) data collected during research cruise PS2009 using a SeaBird SBE-21 instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.20081354
title: helloworld.txt

description: This is just a test.
DOI: 10.6084/m9.figshare.20081354.v2
title: helloworld.txt

description: This is just a test.
DOI: 10.6084/m9.figshare.20081354.v1
title: helloworld.txt

description: This is just a test.
DOI: 10.6084/m9.figshare.20081378
title: Untitled Item

description: This is just a test.
DOI: 10.6084/m9.figshare.20081378.v2
title: Untitled Item

description: This is just a test.
DOI: 10.6084/m9.figshare.20081378.v1
title: Untitled Item

description: This is just a test.
DOI: 10.6084/m9.figshare.14879796
title: Matrices for monocots and Ericaceae phylogeny

description: DNA and AA matrices for mitochondrial phylogenomics of monocots and Ericaceae.
DOI: 10.6084/m9.figshare.14879796.v2
title: Matrices for monocots and Ericaceae phylogeny

description: DNA and AA matrices for mitochondrial phylogenomics of monocots and Ericaceae.
DOI: 10.6084/m9.figshare.14879796.v1
title: Matrices for Ericaceae phylogeny

description: DNA and AA matrices for mitochondrial phylogenomics of Ericaceae.