cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6365667
title: Is switchgrass good for carbon savings? Long-term results in marginal land Running title: Switchgrass SOC storage capacity in marginal land Walter Zegada-Lizarazu 1, Federica Zanetti 1, Nicola Di Virgilio 2, Andrea Monti 1 1Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 44 – 40127, Bologna, Italy; 2CNR, Institute for the BioEcononomy, National Research Council of Italy, Via P Gobetti 101, I-40129 Bologna, Italy

description: Growing switchgrass in marginal land can be a valuable option to mitigate the risk of agricultural land abandonment whilst storing a significant amount of soil C. It was found a significant increase in SOC in a 13-years period. A significant positive correlation was observed between the C derived from switchgrass and SOC gain (the estimated switchgrass derived C was 12.7 Mg C ha<sup>-1</sup>). The increased SOC along the field, however, was patchy, with the highest increments registered in the center of the field, while the lowest ones in the top and bottom of the hill.
DOI: 10.6073/pasta/7f48ff1869e0220db191c851a3fe722f
title: Microclimate at Harvard Forest HDW Tower since 2014

description: The HDW (Hardwood) microclimate and walkup tower at Harvard Forest became operational in April 2014. The site was chosen to represent the mixed hardwood forest around the EMS and NEON towers and to provide a platform for research projects without access to those towers. Microclimate data are archived annually and recent data are available upon request. Measured values include air temperature, relative humidity, PAR, net radiation, albedo, wind speed and direction, soil temperature and soil moisture.
DOI: 10.48557/trgqod
title: Replication Data for "A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging"

description: This repository contains all the data required to replicate results shown in "A deep learning approach for online cell identification and trace extraction in functional two-photon calcium imaging" Abstract In vivo two-photon calcium imaging is a powerful approach in neuroscience. However, processing two-photon calcium imaging data is computationally intensive and time-consuming, making online frame-by-frame analysis challenging. This is especially true for large field-of-view (FOV) imaging. Here, we present CITE-On (Cell Identification and Trace Extraction Online), a convolutional neural network-based algorithm for fast automatic cell identification, segmentation, identity tracking, and trace extraction in two-photon calcium imaging data. CITE-On processes thousands of cells online, including during mesoscopic two-photon imaging, and extracts functional measurements from most neurons in the FOV. Applied to publicly available datasets, the offline version of CITE-On achieves performance similar to that of state-of-the-art methods for offline analysis. Moreover, CITE-On generalizes across calcium indicators, brain regions, and acquisition parameters in anesthetized and awake head-fixed mice. CITE-On represents a powerful tool to speed up image analysis and facilitate closed-loop approaches, for example in combined all-optical imaging and manipulation experiments.
DOI: 10.5281/zenodo.6365659
title: Henicopernis longicauda SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6365658
title: Henicopernis longicauda SPAdes preassembly

description: .
DOI: 10.7795/720.20220314
title: Dataset for the publication "Using a Tip Characterizer to Investigate Microprobe Silicon Tip Geometry Variation in Roughness Measurements"

description: Given their superior dynamics, microprobes represent promising probe candidates for high-speed roughness measurement applications. Their disadvantage, however, lies in the fact that the volume of the microprobe’s silicon tip decreases dramatically during roughness measurement, and the unstable tip geometry leads to an increase in measurement uncertainty. To investigate the factors that influence tip geometry variation during roughness measurement, a rectangular-shaped tip characterizer was employed to characterize the tip geometry, and a method for reconstructing the tip geometry from the measured profile was introduced. Experiments were conducted to explore the ways in which the tip geometry is influenced by tip wear, probing force, and the relative movement of the tip with respect to the sample. The results indicate that tip fracture and not tip wear is the main reason for tip volume loss, and that the lateral dynamic load on the tip during scanning mode is responsible for more tip fracture than are other factors.
description: The results in this paper come from EMPIR 17IND05 MicroProbes, an EU-funded project. MicroProbes has received funding from the EMPIR program co-financed by the EU participating states and from the European Union’s Horizon 2020 research and innovation program.
DOI: 10.6084/m9.figshare.19025930
title: F-00165-2021 SUPPLEMENT Table SI

description: Supp Table SI for AJP Renal Physiology F-00165-2021:Kidney Stone Formation in a Novel Murine Model of Polycystic Kidney Disease
DOI: 10.6084/m9.figshare.19025930.v1
title: F-00165-2021 SUPPLEMENT Table SI

description: Supp Table SI for AJP Renal Physiology F-00165-2021:Kidney Stone Formation in a Novel Murine Model of Polycystic Kidney Disease
DOI: 10.6084/m9.figshare.19026599
title: F-00165-2021 SUPPLEMENT Table SII

description: Supp Table SII for AJP Renal Physiology F-00165-2021:Kidney Stone Formation in a Novel Murine Model of Polycystic Kidney Disease
DOI: 10.6084/m9.figshare.19026599.v1
title: F-00165-2021 SUPPLEMENT Table SII

description: Supp Table SII for AJP Renal Physiology F-00165-2021:Kidney Stone Formation in a Novel Murine Model of Polycystic Kidney Disease
DOI: 10.5281/zenodo.6365723
title: Bolinopsis infundibulum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6365722
title: Bolinopsis infundibulum SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19367933.v2
title: Visual Near-Duplicates Detection in the Context of Social Media (Dataset)

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details:https://github.com/sTechLab/Visual-Near-Duplicates-Detection-in-the-Context-of-Social-Media<br><br>See the associated paper on arXiv:https://arxiv.org/abs/2203.07167<br>
DOI: 10.5281/zenodo.6365707
title: data set related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment

description: This record contains raw data related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment
DOI: 10.5281/zenodo.6365706
title: data set related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment

description: This record contains raw data related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment
DOI: 10.25505/fiz.icsd.cc2684m8
title: CSD 2033619: Experimental Crystal Structure Determination

description: Related Article: R.D.Bannister|2022|ICSD Communication|||
DOI: 10.25505/fiz.icsd.cc2684n9
title: CSD 2033620: Experimental Crystal Structure Determination

description: Related Article: R.D.Bannister|2022|ICSD Communication|||
DOI: 10.25505/fiz.icsd.cc2684pb
title: CSD 2033621: Experimental Crystal Structure Determination

description: Related Article: R.D.Bannister|2022|ICSD Communication|||
DOI: 10.5281/zenodo.5079748
title: SciGRID_gas IGGIELGNC-3

description: The IGGIELGNC dataset is an outcome of the SciGRID_gas project
DOI: 10.5281/zenodo.4922529
title: SciGRID_gas IGGIELGNC-3

description: The IGGIELGNC dataset is an outcome of the SciGRID_gas project
DOI: 10.6084/m9.figshare.19376123
title: Supporting data for "Ocean Mixed Layer Depth from Dissipation"

description: These data are supporting data for the JGR article "Ocean Mixed Layer Depth from Dissipation" by Valentina Giunta and Brian Ward.
DOI: 10.6084/m9.figshare.19376123.v1
title: Supporting data for "Ocean Mixed Layer Depth from Dissipation"

description: These data are supporting data for the JGR article "Ocean Mixed Layer Depth from Dissipation" by Valentina Giunta and Brian Ward.
DOI: 10.6084/m9.figshare.16567023
title: ecoregion-shapefiles

description: These data are the individual shapefiles for each of the five grassland ecoregions determined by the North Central Climate Adaptation Science Center (NC CASC) management working group. A method and further description of these data will be updated in the near future.<br>This is a part of the greater NC CASC 2021 Grassland Synthesis collection. This collection contains the geospatial data analyzed and visualizations produced for the North Central Climate Adaptation Science Center Grasslands Synthesis Report 2021. Citation details and link to this publication coming soon.<br>Symbology (fill and outline colors)<br>Central Mixed Grass <br>HEX: #FF934F, RGB: 255, 147, 79<br><br>Northern Mixed GrassHEX: #E1DAAE, RGB: 225, 218, 174<br>ShortgrassHEX: #058ED9, RGB: 5, 142, 217<br>TallgrassHEX: #2D3142, RGB: 45, 49, 66<br>
DOI: 10.6084/m9.figshare.16567023.v1
title: ecoregion-shapefiles

description: These data are the individual shapefiles for each of the five grassland ecoregions determined by the North Central Climate Adaptation Science Center (NC CASC) management working group. A method and further description of these data will be updated in the near future.<br>Symbology (fill and outline colors)<br>Central Mixed Grass <br>HEX: #FF934F, RGB: 255, 147, 79<br><br>Northern Mixed GrassHEX: #E1DAAE, RGB: 225, 218, 174<br>ShortgrassHEX: #058ED9, RGB: 5, 142, 217<br>TallgrassHEX: #2D3142, RGB: 45, 49, 66<br>
DOI: 10.5281/zenodo.6365747
title: COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece

description: <strong>COASTAL Project: Marine Data Set</strong> In the framework of COASTAL Project (https://h2020-coastal.eu/), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study. <strong>Data set description</strong> In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include: Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water Metals, carbon, nitrogen, mineralogy in sediment Metals, carbon, nitrogen, mineralogy in sediment cores Particulate matter Hydrocarbons (PAHs, PCBs) in water Hydrocarbons (PAHs) in sediment Zooplankton biomass Zoobenthos taxonomic abundance
DOI: 10.5281/zenodo.6365746
title: COASTAL EU Project: oceanographic data from the marine sector of SW Messinia, Greece

description: <strong>COASTAL Project: Marine Data Set</strong> In the framework of COASTAL Project (https://h2020-coastal.eu/), EU-H2020 Grant Number 773782, the Institute of Oceanography/HCMR coordinates the Multi-Actor Lab for the SW Messinia case study. <strong>Data set description</strong> In this area (SW Messinia) five research cruises in three periods were conducted. Data presented here include: Nutrients, chlorophyll, dissolved oxygen, carbon, nitrogen, phosphorus in water Metals, carbon, nitrogen, mineralogy in sediment Metals, carbon, nitrogen, mineralogy in sediment cores Particulate matter Hydrocarbons (PAHs, PCBs) in water Hydrocarbons (PAHs) in sediment Zooplankton biomass Zoobenthos taxonomic abundance
DOI: 10.5281/zenodo.4569734
title: Sources for a reproducible IT blog corpus

description: The dataset entail homepages for several hundred IT-blogs and websites which have been hand-picked with the intention to represent discourses dedicated to questions at the intersection of technology and society from Germany and the United States. The corresponding text collection can be reproduced with a method to duplicate the data by updating its contents and downloading it to the user’s local machine: see https://zenodo.org/record/4552529 and https://github.com/adbar/trafilatura. Online searches on the text corpus are also available: https://www.dwds.de/d/korpora/it_blogs Paper "A Reproducible IT-Blog Corpus": doi.org/10.5334/johd.35
DOI: 10.5281/zenodo.4569733
title: Sources for a reproducible IT blog corpus

description: The dataset entail homepages for several hundred IT-blogs and websites which have been hand-picked with the intention to represent discourses dedicated to questions at the intersection of technology and society from Germany and the United States. The corresponding text collection can be reproduced with a method to duplicate the data by updating its contents and downloading it to the user’s local machine: see https://zenodo.org/record/4552529 and https://github.com/adbar/trafilatura. Online searches on the text corpus are also available: https://www.dwds.de/d/korpora/it_blogs Paper "A Reproducible IT-Blog Corpus": doi.org/10.5334/johd.35
DOI: 10.6073/pasta/f881ff2cf8d9bd5dc5cef91b5684f870
title: Meteorological data collected on Toolik Lake during the ice free season for 2014-2020, Arctic LTER, Toolik Research Station, Alaska

description: File describing the meteorological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind speed and direction, and radiation. Note: There are no discharge data for 2013 because of equipment malfunction.
DOI: 10.5281/zenodo.5765798
title: Summary Report of the GenX and PowerGenome runs for generating Price Series (for ARPA-E FLECCS Project)

description: The present work describes the different sensitivity scenarios and simulated conditions under which we conduct the capacity expansion planning studies using GenX, a highly reconfigurable Mixed-Integer Linear Programming (MILP) based capacity-expansion planning model. In this set of simulations, we consider
DOI: 10.5281/zenodo.5765797
title: Summary Report of the GenX and PowerGenome runs for generating Price Series (for ARPA-E FLECCS Project)

description: The present work describes the different sensitivity scenarios and simulated conditions under which we conduct the capacity expansion planning studies using GenX, a highly reconfigurable Mixed-Integer Linear Programming (MILP) based capacity-expansion planning model. In this set of simulations, we consider
DOI: 10.25345/c5348gk3q
title: MassIVE MSV000089077 - Sex similarities and differences in the reverse and anti-remodeling effect of pressure unloading therapy in a rat model of aortic banding and debanding
title: Supporting raw files and supplements for the publication entitled "Sex similarities and differences in the reverse and anti-remodeling effect of pressure unloading therapy in a rat model of aortic banding and debanding".
DOI: 10.18739/a2jq0sw5z
title: Timelapse photos of Johns Hopkins Inlet iceberg habitat, Glacier Bay National Park, Alaska, 2019

description: Data are available at: https://arcticdata.io/data/10.18739/A2JQ0SW5Z/ Tidewater glacier fjords are highly dynamic environments that are affected by several glaciological and oceanographic processes: (i) subglacial discharge creates upwelling plumes that drive estuarine circulation and promote submarine melting of glaciers and icebergs, (ii) iceberg calving, which is affected by submarine melting, is a stochastic energy source that mixes near-glacier waters and produces waves that crash on shore and cause icebergs to capsize, and (iii) motion of icebergs and fjord waters are affected by winds, tides, and subglacial discharge. Numerous species reside in tidewater glacier fjords, including harbor seals, which seasonally aggregate in fjords and use ice habitat for critical life functions including pupping, molting, and foraging. Seals that haul-out on icebergs during the pupping and molting seasons take longer and deeper dives for feeding than those that use terrestrial haul-outs, but may acquire higher quality food. Additionally, icebergs do not flood during high tide, which increases the amount of time that seals can remain hauled-out and that pups can spend nursing, thus increasing energetic intake. Many basic questions remain unanswered, and the energy costs of coping with a constantly evolving landscape are unknown. This project addresses these deficiencies by investigating the temporal and spatial variability of seal habitat in Johns Hopkins Inlet, Glacier Bay, by synthesizing aerial surveys with high-rate time-lapse photogrammetry. This dataset consists of high-rate (1 photo per minute) time-lapse photos of Johns Hopkins Inlet that were acquired in summer 2019, at the coordinates of the camera locations.
DOI: 10.5517/ccdc.csd.cc292ctl
title: CCDC 2117449: Experimental Crystal Structure Determination

description: Related Article: Liang Tu, Limei Gao, Qiang Wang, Zhixing Cao, Rong Huang, Yongsheng Zheng, Jikai Liu|2022|J.Org.Chem.|87|3389|doi:10.1021/acs.joc.1c02998
DOI: 10.5517/ccdc.csd.cc292csk
title: CCDC 2117448: Experimental Crystal Structure Determination

description: Related Article: Liang Tu, Limei Gao, Qiang Wang, Zhixing Cao, Rong Huang, Yongsheng Zheng, Jikai Liu|2022|J.Org.Chem.|87|3389|doi:10.1021/acs.joc.1c02998
DOI: 10.18739/a2w08wh8m
title: Timelapse photos of Johns Hopkins Inlet iceberg habitat, Glacier Bay National Park, Alaska, 2021

description: Data are available at: https://arcticdata.io/data/10.18739/A2W08WH8M Tidewater glacier fjords are highly dynamic environments that are affected by several glaciological and oceanographic processes: (i) subglacial discharge creates upwelling plumes that drive estuarine circulation and promote submarine melting of glaciers and icebergs, (ii) iceberg calving, which is affected by submarine melting, is a stochastic energy source that mixes near-glacier waters and produces waves that crash on shore and cause icebergs to capsize, and (iii) motion of icebergs and fjord waters are affected by winds, tides, and subglacial discharge. Numerous species reside in tidewater glacier fjords, including harbor seals, which seasonally aggregate in fjords and use ice habitat for critical life functions including pupping, molting, and foraging. Seals that haul-out on icebergs during the pupping and molting seasons take longer and deeper dives for feeding than those that use terrestrial haul-outs, but may acquire higher quality food. Additionally, icebergs do not flood during high tide, which increases the amount of time that seals can remain hauled-out and that pups can spend nursing, thus increasing energetic intake. Many basic questions remain unanswered, and the energy costs of coping with a constantly evolving landscape are unknown. This project addresses these deficiencies by investigating the temporal and spatial variability of seal habitat in Johns Hopkins Inlet, Glacier Bay, by synthesizing aerial surveys with high-rate time-lapse photogrammetry. This dataset consists of high-rate (1 photo per minute) time-lapse photos of Johns Hopkins Inlet that were acquired in summer 2021, at the coordinates of the camera locations.
DOI: 10.6084/m9.figshare.19376342
title: data for bibiometric analysis

description: bibliometric data
DOI: 10.6084/m9.figshare.19376342.v1
title: data for bibiometric analysis

description: bibliometric data
DOI: 10.13026/vagp-v123
title: EntityBERT: BERT-based Models Pretrained on MIMIC-III with or without Entity-centric Masking Strategy for the Clinical Domain

description: Transformer-based neural language models have led to breakthroughs for a
variety of natural language processing (NLP) tasks. However, most models are
pretrained on general domain data. We propose a methodology to produce a model
focused on the clinical domain: continued pretraining of a model with a broad
representation of biomedical terminology (PubMedBERT) on a clinical corpus
(MIMIC-III) along with a novel entity-centric masking strategy to infuse
domain knowledge in the learning process.

We curated the MIMIC-III corpus by annotating events (including
diseases/disorders, signs/symptoms, medications, anatomical sites, and
procedures) and time expressions (e.g. "yesterday", "this weekend",
"02/31/2028"(an example date)) with special markers. Marked events and time
expressions are randomly chosen together with other words in a certain ratio
to be masked for training the entity-centric mask language model. Therefore,
the models are infused with clinical entity information and good for entity-
related clinical NLP tasks.
DOI: 10.13026/e7kt-q579
title: EntityBERT: BERT-based Models Pretrained on MIMIC-III with or without Entity-centric Masking Strategy for the Clinical Domain

description: Transformer-based neural language models have led to breakthroughs for a
variety of natural language processing (NLP) tasks. However, most models are
pretrained on general domain data. We propose a methodology to produce a model
focused on the clinical domain: continued pretraining of a model with a broad
representation of biomedical terminology (PubMedBERT) on a clinical corpus
(MIMIC-III) along with a novel entity-centric masking strategy to infuse
domain knowledge in the learning process.

We curated the MIMIC-III corpus by annotating events (including
diseases/disorders, signs/symptoms, medications, anatomical sites, and
procedures) and time expressions (e.g. "yesterday", "this weekend",
"02/31/2028"(an example date)) with special markers. Marked events and time
expressions are randomly chosen together with other words in a certain ratio
to be masked for training the entity-centric mask language model. Therefore,
the models are infused with clinical entity information and good for entity-
related clinical NLP tasks.
DOI: 10.25345/c5zc7rx8q
title: MassIVE MSV000089078 - GL(-)-LC-21M032 CACAO lipidomica
title: ANALISIS de cacao mediante LC-QTOF-MS, DE LIPIDOMICA DE CACAO
DOI: 10.5281/zenodo.6366011
title: Beroe abyssicola SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6366010
title: Beroe abyssicola SPAdes preassembly

description: .
DOI: 10.6073/pasta/239479d36efc4dee4723f30c727ead62
title: Florida Bay Braun Blanquet, Everglades National Park (FCE LTER), South Florida, USA, October 2000 - ongoing

description: Braun Blanquet surveys determining frequency, abundance, and density for seagrass and macroalgae made during visits to TS/Ph 7a, 8-11. Our long term research program focuses on the following central objective: Regional processes mediated by water flow control population and ecosystem level dynamics at any location within the coastal Everglades landscape. This phenomenon is best exemplified in the dynamics of an estuarine oligohaline zone where fresh water draining phosphorus-limited Everglades marshes mixes with water from the more nitrogen-limited coastal ocean. Graphic representation of data can be located at http://serc.fiu.edu/seagrass/!CDreport/DataHome.htm
DOI: 10.5281/zenodo.6365890
title: An annotated corpus of clinical trial publications supporting schema-based relational information extraction

description: Repository of an annotated corpus of clinical trial abstracts supporting schema-based relational information extraction and the code for the inter-annotation agreement calculation and the baseline information extraction method.
DOI: 10.5281/zenodo.6365889
title: An annotated corpus of clinical trial publications supporting schema-based relational information extraction

description: Repository of an annotated corpus of clinical trial abstracts supporting schema-based relational information extraction and the code for the inter-annotation agreement calculation and the baseline information extraction method.