cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc5v58f
title: CCDC 174104: Experimental Crystal Structure Determination

description: Related Article: M.Nieger, A.Fuchs|2001|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21995723
title: Supplementary Material for: Four Patterns of Canine Wei Syndrome Treated with Traditional Chinese Medicine

description: Atrophy and weakness of the limbs is a common condition in animals, especially dogs. It typically presents with flaccidity and weakness of the limbs, especially the hind legs, muscle atrophy, and the inability to walk. In Traditional Chinese Medicine (TCM) and Traditional Chinese Veterinary Medicine (TCVM), this is known as wei syndrome (WS). According to TCM, the etiology of WS can be (1) lung heat and fluid consumption; (2) insufficiency of the liver and kidneys; (3) dampness-heat invasion; (4) damage to the spleen and stomach, which are also the patterns of WS. This report aims to provide an alternative option for the treatment of canine paralysis. Four dogs with different WS patterns were treated with acupuncture, moxibustion, and Chinese herbs based on the guidelines of the TCM literature. Three patients recovered normal functioning. The fourth patient could walk normally after 2 weeks of treatment, but his hind limbs became weak again 3 months later. Weekly acupuncture treatment was resumed until his death 18 months later. TCM application of acupuncture, moxibustion, and Chinese herbs can be an effective treatment for canine WS. It is hoped that this case report will broaden the treatment options of other veterinarians when patients present with this condition.
DOI: 10.5066/f72v2d85
title: Zinc concentrations and isotopic signatures of an aquatic insect (mayfly, Baetis tricaudatus)

description: Insect metamorphosis often results in substantial chemical changes that can fractionate isotopes and alter contaminant concentrations. We exposed larval mayflies (Baetis tricaudatus) to an aqueous zinc gradient (3-340 g Zn/l) and measured the change in zinc tissue concentrations at different stages of metamorphosis. We also measured changes in stable isotopes (&#948;15N and &#948;13C) in unexposed B. tricaudatus. Zinc concentrations in larvae were positively related to aqueous zinc, increasing 9-fold across the exposure gradient. Zinc concentrations in adults were also positively related to aqueous concentrations, but were 7-fold lower than larvae. However, this relationship varied according to adult substage (subimago vs imago) and sex. Tissue concentrations in female imagoes were not related to exposure concentrations, but the converse was true for all other stage by sex combinations. Metamorphosis also altered isotopic ratios, increasing &#948;15N, but not &#948;13C. Thus, the main effects of metamorphosis on insect chemistry were large declines in zinc concentrations coupled with enriched &#948;15N signatures. For zinc, this change is largely consistent across the aqueous exposure gradient. However, the differences among sexes and stages suggest that caution is warranted when using isotopes or metal concentrations measured in one insect stage (e.g., larvae) to assess risk to wildlife that feed on subsequent life stages (e.g., adults).
DOI: 10.5066/p95ioukh
title: Soil and surface water nitrogen and caffeine data from 2019, and 2019-2020 trail counts of hikers in Loch Vale Watershed, Rocky Mountain National Park

description: Daily visitor use in Rocky Mountain National Park has increased substantially since 2014, raising questions about the impact of human waste on water quality in popular areas without latrines. Human urine contributes nitrogen, and the ecological and biogeochemical effects of nitrogen from atmospheric deposition have long been the topic of study in Loch Vale watershed, Rocky Mountain National Park. Nitrogen from atmospheric deposition has been found previously to lead to lake eutrophication and altered algal species assemblages. Our data were collected to evaluate the impacts of visitors to a popular alpine watershed in Rocky Mountain National Park. There are three separate data files: soil sample locations and concentrations of nitrate, ammonium, and caffeine (used as a marker of human waste) for May-September 2019; surface water sample locations and concentrations of nitrate, ammonium, and caffeine (used as a marker of human waste) for May-September 2019; and trail count data for June-September 2019 and 2020. The study was conducted by USGS and Rocky Mountain National Park researchers and yielded results regarding the nitrogen input (which was calculated as 2% of total annual N inputs) and also revealed information on visitor behavior, namely that many visitors do not follow standard Leave No Trace guidelines for locating privy sites 200 feet or more from a water body.
DOI: 10.5067/measures/minds/data301
title: OMI/Aura NO2 Tropospheric, Stratospheric &amp; Total Columns MINDS Daily L3 Global Gridded 0.25 degree x 0.25 degree
DOI: 10.5281/zenodo.54959
title: Supplementary Underlying Data For "Evaluating Parameterization Protocols For Hydration Free Energy Calculations With The Amoeba Polarizable Force Field"

description: This dataset includes additional underlying data for the publication "Evaluating parameterization protocols for hydration free energy calculations with the AMOEBA polarizable force field"

Contents:

Tukey Honest Significant Difference (HSD) results for solutes 1-47 across all seven parameter sets, as *.txt. These are pairwise comparisons of results between all possible parameter sets. Significant differences are treated as p &lt; 0.05.
DOI: 10.6084/m9.figshare.21440871
title: TableS7-10_PresenceOfMajorChallenges

description: 4 files: 1) Table S7: TableS7_Treibergs_et_al_Ecosphere_Predictors_byReflectionWithChallengeOnly 2) Table S8_Metadata: TableS8_Metadata_Treibergs_et_al_Ecosphere_Predictors_byReflectionWithChallengeOnly 3) Table S9: TableS9_Treibergs_et_al_Ecosphere_PresenceOfChallenge_byReflectionWithChallengeOnly 4) TableS10_Metadata: TableS10_Metadata_Treibergs_et_al_Ecosphere_PresenceOfChallenge_byReflectionWithChallengeOnly <br> Tables S7-S8 include data about student predictors (section, race/ethnicity, gender, outdoor experience) (de-identified using a student ID) <br> Tables S9-S10 include the presence (1) of a particular challenge type within each student's field journal reflection corresponding to a particular lab. (0 indicates the absence of that challenge type). See text and tables S3-S6 for a desription of each challenge type. Journal entries that didn't include a mention of any type of challenge are not included in this dataset.
DOI: 10.5281/zenodo.7895516
title: dataset of paper Bibliometric Analysis of Veterinary Medicine on Embryo of Animals in Textbook in Conceptualizing Disease

description: this is the dataset of meta-data of books and book chapter downloaded from scopus website using subscription service
DOI: 10.5281/zenodo.7895515
title: dataset of paper Bibliometric Analysis of Veterinary Medicine on Embryo of Animals in Textbook in Conceptualizing Disease

description: this is the dataset of meta-data of books and book chapter downloaded from scopus website using subscription service
DOI: 10.5258/soton/d2561
title: Dataset in support of the publication 'Computational model for metformin transfer in the human placenta'

description: The dataset includes the Matlab files and experimental data used to model transfer of the antidiabetic drug metformin across the perfused human placenta.
DOI: 10.17632/gw23dgzn6h.1
title: Sailboat Hull Resistance Dataset and Predictive Model

description: This document contains a dataset and a predictive model.
The dataset is based on three sailboats systematic series with measurement of hull resistance through water: The Delft Series, US Sailing Series and Il Moro di Venezia Series. The data are stored in a Coma Separated Virgula text file (“Sailboat Hull Resistance Dataset V01.csv”) whereas the semicolon has been used as a separator character. The table includes 1018 records corresponding to towing tank tests of the systematic sailboat hull series. Respectively, 702 records are related to the Delft Series, 108 records to the Il Moro di Venezia Series and 208 records to the US Sailing Series. The table possesses 21 fields that are described in detail in the metadata file (“Sailboat Hull Resistance Metadata V01.csv”).
The predictive model uses an Artificial Neural Network configured with 8 inputs to predict the hull resistance target variable “Rt/Delta * 10^3”. The inputs of the model are: The Froude number and the 8 principal components (PCA) of the following fields: Cp; Cm; Cb; Cw; Lwl/Bwl; Bwl/Tc; Lwl/Tc; Lwl/Vol^(1/3); Lcb/Lwl; Lcf/Lwl; Lcb/Lcf; Sc/Vol^(2/3); Aw/Vol^(2/3); Sc/Aw; Sc/Ax; Ax/Aw. The predictive model uses the PMML 4.2.1 data format (http://dmg.org/pmml/pmml-v4-2-1.html). The model is stored in the pmml file: (“ann_4-28_r2_0.998.pmml”). The neural network has 4 hidden layers of 28 neurons.
The details of the step by step procedures to use the predictive model will be available soon in an online paper.
DOI: 10.17632/gw23dgzn6h.2
title: Sailboat Hull Resistance Dataset and Predictive Model

description: This document contains a dataset and a predictive model.
The dataset is based on three sailboats systematic series with measurement of hull resistance through water: The Delft Series, US Sailing Series and Il Moro di Venezia Series. The data are stored in a Coma Separated Virgula text file (“Sailboat Hull Resistance Dataset V01.csv”) whereas the semicolon has been used as a separator character. The table includes 1018 records corresponding to towing tank tests of the systematic sailboat hull series. Respectively, 702 records are related to the Delft Series, 108 records to the Il Moro di Venezia Series and 208 records to the US Sailing Series. The table possesses 21 fields that are described in detail in the metadata file (“Sailboat Hull Resistance Metadata V01.csv”).
The predictive model uses an Artificial Neural Network configured with 8 inputs to predict the hull resistance target variable “Rt/Delta * 10^3”. The inputs of the model are: The Froude number and the 8 principal components (PCA) of the following fields: Cp; Cm; Cb; Cw; Lwl/Bwl; Bwl/Tc; Lwl/Tc; Lwl/Vol^(1/3); Lcb/Lwl; Lcf/Lwl; Lcb/Lcf; Sc/Vol^(2/3); Aw/Vol^(2/3); Sc/Aw; Sc/Ax; Ax/Aw. The predictive model uses the PMML 4.2.1 data format (http://dmg.org/pmml/pmml-v4-2-1.html). The model is stored in the pmml file: (“ann_4-28_r2_0.998.pmml”). The neural network has 4 hidden layers of 28 neurons.
The details of the step by step procedures to use the predictive model will be available soon in an online paper.
DOI: 10.17632/gw23dgzn6h.3
title: Sailboat Hull Resistance Dataset and Predictive Model

description: This document contains a dataset and a predictive model.
The dataset is based on three sailboats systematic series with measurement of hull resistance through water: The Delft Series, US Sailing Series and Il Moro di Venezia Series. The data are stored in a Coma Separated Virgula text file (“Sailboat Hull Resistance Dataset V01.csv”) whereas the semicolon has been used as a separator character. The table includes 1018 records corresponding to towing tank tests of the systematic sailboat hull series. Respectively, 702 records are related to the Delft Series, 108 records to the Il Moro di Venezia Series and 208 records to the US Sailing Series. The table possesses 21 fields that are described in detail in the metadata file (“Sailboat Hull Resistance Metadata V01.csv”).
The predictive model uses an Artificial Neural Network configured with 8 inputs to predict the hull resistance target variable “Rt/Delta * 10^3”. The inputs of the model are: The Froude number, the Reynolds number and the 8 principal components (PCA) of the following fields: Cp; Cm; Cb; Cw; Lwl/Bwl; Bwl/Tc; Lwl/Tc; Lwl/Vol^(1/3); Lcb/Lwl; Lcf/Lwl; Lcb/Lcf; Sc/Vol^(2/3); Aw/Vol^(2/3); Sc/Aw; Sc/Ax; Ax/Aw. The predictive model uses the PMML 4.2.1 data format (http://dmg.org/pmml/pmml-v4-2-1.html). The model is stored in the pmml file: (“ann_3-16_r2_0.998.pmml”). The neural network has 3 hidden layers of 16 neurons.
The details of the step by step procedures to use the predictive model will be available soon in an online paper.
DOI: 10.20351/29sg20230315
title: STRENGTH Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the STRENGTH Cruise (29SG20230315) on board the Research Vessel Sarmiento de Gamboa in 2023.
DOI: 10.6084/m9.figshare.8168267
title: Data from: Reliability analysis of fish traits reveals discrepancies among databases

description: Cano‐Barbacil, C., Radinger, J., & García‐Berthou, E. (2020). Reliability analysis of fish traits reveals discrepancies among databases. <em>Freshwater Biology</em>, <em>65</em>(5), 863-877. <strong>https://doi.org/10.1111/fwb.13469</strong> <br> Fish trait data from 19 different data sources of 99 freshwater Iberian fish (native and alien) and consensus database.
DOI: 10.6084/m9.figshare.8168267.v1
title: Data of: Reliability analysis of fish traits reveals discrepancies among databases

description: Fish trait data from 19 different data sources of 99 freshwater Iberian fish and consensus database.
DOI: 10.6084/m9.figshare.22716826.v1
title: GSE60427

description: GSE60427
DOI: 10.5519/qd.erq06glf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5536367 records)
DOI: 10.5519/qd.9fizuqqk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.22759007
title: Sparganium stoloniferum SNP dataset

description: Sparganium stoloniferum SNP dataset
DOI: 10.6084/m9.figshare.22759007.v1
title: <em> Sparganium stoloniferum</em> SNP dataset

description: Sparganium stoloniferum SNP dataset
DOI: 10.21227/43rb-b854
title: phantom-colon-data-6-dof-camera-pose-estimation

description: The phantom was disassembled and the full length was about 1.5m. However, due to our lack of experience in operating colonoscopy, only three sections with a total length of about 1m were used for the convenience of the experiment, as shown in the following figure.
DOI: 10.6084/m9.figshare.21299763
title: Soil phosphorus transformations under long-term salinization

description: Soil phosphorus transformations under long-term salinization
DOI: 10.6084/m9.figshare.21299763.v1
title: Soil phosphorus transformations under long-term salinization

description: Soil phosphorus transformations under long-term salinization
DOI: 10.6084/m9.figshare.22758686
title: Trials

description: Filename convention is CELLNUMBER-HipTA/TA-PATTERN.dat<br> .dat files contain 400 ms pretrigger and 600 ms posttrigger neuronal activity.<br> Each line is a trial.<br> Resolution is 1 ms.<br> Delimiter is ",".<br> Example to load with python:<br> <br> import numpy as <strong>np</strong><br> trials = <strong>np</strong>.loadtxt(filename, delimiter=",")<br> <br>
DOI: 10.17036/researchdata.aston.ac.uk.00000596
title: What surprises the Mona Lisa? The relative importance of the eyes and eyebrows for detecting surprise in briefly presented face stimuli
DOI: 10.6084/m9.figshare.22758695.v1
title: Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019)

description: This dataset contains the data used to map the figures in the article " Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019) ".
DOI: 10.6084/m9.figshare.22758695.v2
title: Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019)

description: This dataset contains the data used to map the figures in the article " Rapid oscillation of sediment transport between the Bohai Sea and the Yellow Sea induced by Typhoon Lekima (2019) ".
DOI: 10.25625/nytrsv
title: Workshop 2 test

description: workshop 2
DOI: 10.25625/nytrsv/rcwnkk
title: Screenshot 2023-04-26 at 14.41.25.png

description: :unav
DOI: 10.6084/m9.figshare.22759073
title: Raw sequence and Non-B-DNA occurrence datasets

description: <strong>1.Sequence Data Collection: </strong> We have extracted genomic regions [-500 to +500] relative to the translation start sites for 1180 cellular organisms from various public repositories. Archaea and bacteria datasets were retrieved from the NCBI database. Fungal datasets corresponding to Aspergillus, Candida, and Saccharomyces species were extracted from the Aspergillus Genome Database, the Candida Genome Database, and the Saccharomyces Genome databases<strong>.</strong> The UCSC genome browser was used to retrieve fly, mammalian, vertebrate, and worm species. Plant datasets were downloaded from the plant genome database. 1180 unique species belonging to three domains of life have been classified into 28 taxonomic groups loosely based on NCBI taxonomy. <strong>2. Datasets for Non-B DNA motifs:</strong> We computed six putative non-B DNA forming sequences using regular expression models (APR, DR, GQ, IR, MR, and Z) developed by <em>Cer et al</em>. non-B DNA Motif Search Tool (nBMST) in extracted genomic regions. TSV files derived from sequences of each genome were reported in the dataset. 1. Curved DNA motif (A-Phased Repeat, APR) constitutes 3 or more A-tracts (3–5 As) with 10 nucleotides (nt) pacing in the center of each tract. 2.Slipped DNA motifs were defined as 10–50nt direct repeats (DRs) with no intervening nucleotides. 3.G-quadruplexes (GQs) are screened as 4 or more runs of G-tracts (3–5 G’s) separated by 1–7nt spacers. 4.Cruciform DNA is defined as 10–100nt inverted repeats (IRs) with a small spacer size (0–3nt). 5.The triplex DNA motif constitutes10–100nt sized mirror repeats (MRs) with 0–8nt spacers. The sequence composition must be 90% or more purine or pyrimidine nucleotides. 6. The Z-DNA motif is predicted from G-Y runs where G is followed by Y (C or T) for at least 10nt with a strand having alternating Gs. 7. Short tandem repeats (STRs) were also included in the analysis for comparison with other motifs.
DOI: 10.6084/m9.figshare.22759073.v1
title: Raw sequence and Non-B-DNA occurrence datasets

description: <strong>1.Sequence Data Collection: </strong> We have extracted genomic regions [-500 to +500] relative to the translation start sites for 1180 cellular organisms from various public repositories. Archaea and bacteria datasets were retrieved from the NCBI database. Fungal datasets corresponding to Aspergillus, Candida, and Saccharomyces species were extracted from the Aspergillus Genome Database, the Candida Genome Database, and the Saccharomyces Genome databases<strong>.</strong> The UCSC genome browser was used to retrieve fly, mammalian, vertebrate, and worm species. Plant datasets were downloaded from the plant genome database. 1180 unique species belonging to three domains of life have been classified into 28 taxonomic groups loosely based on NCBI taxonomy. <strong>2. Datasets for Non-B DNA motifs:</strong> We computed six putative non-B DNA forming sequences using regular expression models (APR, DR, GQ, IR, MR, and Z) developed by <em>Cer et al</em>. non-B DNA Motif Search Tool (nBMST) in extracted genomic regions. TSV files derived from sequences of each genome were reported in the dataset. 1. Curved DNA motif (A-Phased Repeat, APR) constitutes 3 or more A-tracts (3–5 As) with 10 nucleotides (nt) pacing in the center of each tract. 2.Slipped DNA motifs were defined as 10–50nt direct repeats (DRs) with no intervening nucleotides. 3.G-quadruplexes (GQs) are screened as 4 or more runs of G-tracts (3–5 G’s) separated by 1–7nt spacers. 4.Cruciform DNA is defined as 10–100nt inverted repeats (IRs) with a small spacer size (0–3nt). 5.The triplex DNA motif constitutes10–100nt sized mirror repeats (MRs) with 0–8nt spacers. The sequence composition must be 90% or more purine or pyrimidine nucleotides. 6. The Z-DNA motif is predicted from G-Y runs where G is followed by Y (C or T) for at least 10nt with a strand having alternating Gs. 7. Short tandem repeats (STRs) were also included in the analysis for comparison with other motifs.
DOI: 10.5281/zenodo.7215721
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7215720
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7220211
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7277896
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7315506
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7322809
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7895633
title: Split datasets - bees collected, plots and traits

description: Split dataset based on joined 55. plotfile: information about plots, plant diversity per season beefile: information about bees collected from the field traits: life and nutrition traits per bee species
DOI: 10.5281/zenodo.7895589
title: RoB and ROBINS-I_Early versus late tracheostomy in critically-ill COVID-19 patients

description: Risk of bias details of the included studies.
DOI: 10.5281/zenodo.7895588
title: RoB and ROBINS-I_Early versus late tracheostomy in critically-ill COVID-19 patients

description: Risk of bias details of the included studies.
DOI: 10.5281/zenodo.7891476
title: MISATO-mini

description: The mini dataset for MISATO for testing purposes.
DOI: 10.5281/zenodo.7891477
title: MISATO-mini

description: The mini dataset for MISATO for testing purposes.
DOI: 10.5281/zenodo.7895636
title: MISATO-mini

description: The mini dataset for MISATO for testing purposes.