cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7007736
title: Diagnosis and Surgical Management of Gid in Nondescript Goat

description: Coenurosis, also known as coenuruses, gid or sturdy, is a parasitic infection that developsin the intermediate hosts of some tapeworm species (Taenia multiceps, T. brauni, or T. glomerata). Coenurus cerebralisis the larval form of Taenia multiceps which is seen in the small intestines of carnivores. It is caused by the coenurus, the larval stage of these tapeworms. Infection occurs as a result of the oral intake of eggs spreading via fecal dumps of those animals by intermediate hosts. The disease occurs mainly in sheep, goat and other ungulates, but it may occur in humans by accidental ingestion of tapeworm eggs. Adult worms of these species develop in the small intestine of the definitive hosts (dogs, foxes and other canids), causing a disease from the group of taeniasis. Total 10 nondescript breed of goat were presented to the clinic of Bihar Veterinary College, Patna, Bihar (India) with the history of anorexia, bleating, ataxia, seizure, head pressing against the wall, circling movements, at times keeping the head upwards and walking in circle. Softening of skull bone at occipital region was seen. It was also diagnosed by the X-ray as radiolucent density above the occipital bone and a mild rarefaction was distinctly visible. Prior to reporting to the present clinic, it was treated with local veterinarian but no improvement was recorded. The case was tentatively diagnosed as of coenurosis and it was decided to remove the cysts surgically from subdural space after trephening the occipital bone. Goat was cast in lateral recumbency and site was prepared aseptically for surgical intervention. The exact site of cyst was the area between two horns. The goat was tranquilized with xylazine @ 0.1mg/kg body weight and anesthesia were obtained by local infiltration of 2% lignocaine hydrochloride solution at the central point of occipital region. A linear skin incision was made on the skin measuring 4-6 cm through fascia and periosteum at left side of occipital region. The bone and meninges were incised by a nick with scalpel blade and enlarged with scissors.
DOI: 10.34740/kaggle/dsv/4090505
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7007627
title: Supporting dataset of Balloon-bore Aerosol-Cloud Interaction Studies (BACIS): Field campaigns to understand and quantiy aerosol effects on clouds

description: The upload comprises raw dataset of supporting instruments from BACIS Campaigns conducted from NARL, Gadanki.
DOI: 10.6084/m9.figshare.20511054
title: Sim_Null_10000reps.tar.gz

description: These data are necessary to replicate results from simulation studies under the null hypothesis.
DOI: 10.6084/m9.figshare.20511054.v1
title: Sim_Null_10000reps.tar.gz

description: These data are necessary to replicate results from simulation studies under the null hypothesis.
DOI: 10.6084/m9.figshare.20511012
title: Improved GASpacePrune3.0.rar

description: 数据集包括一系列数据文件，如程序代码，图形，表格和其他基于matlab开发的数据文件. Mainly divided into two folders, one is the implementation of the improved gravity-assisted space pruning algorithm, and the other is the program for the optimization of the transfer orbit for the exploration of the solar system boundary
DOI: 10.6084/m9.figshare.20511012.v1
title: Improved GASpacePrune3.0.rar

description: 数据集包括一系列数据文件，如程序代码，图形，表格和其他基于matlab开发的数据文件. Mainly divided into two folders, one is the implementation of the improved gravity-assisted space pruning algorithm, and the other is the program for the optimization of the transfer orbit for the exploration of the solar system boundary
DOI: 10.6084/m9.figshare.20511114
title: Annot_Z_CRHs.mat

description: This file is the CRH-related annotation file used in the simulation studies.
DOI: 10.6084/m9.figshare.20511114.v1
title: Annot_Z_CRHs.mat

description: This file is the CRH-related annotation file used in the simulation studies.
DOI: 10.5281/zenodo.7007758
title: auto_data_preparation

description: auto_data_preparation
DOI: 10.5281/zenodo.7007757
title: auto_data_preparation

description: auto_data_preparation
DOI: 10.5281/zenodo.7007830
title: 08NL007 daily streamflow dataset from Water Survey of Canada

description: Sample daily streamflow data used in Confluence article on circular statistics in hydrology.
DOI: 10.5281/zenodo.7007829
title: 08NL007 daily streamflow dataset from Water Survey of Canada

description: Sample daily streamflow data used in Confluence article on circular statistics in hydrology.
DOI: 10.25824/redu/jhinu6
title: Teste_REDU_REstrict.pdf
DOI: 10.25824/redu/orbiyo
title: data_sharing_-_implications_for_policy_and_practice-2ea38cb146d4 (1).pdf
DOI: 10.25824/redu/v1mxzs
title: mRNA transcriptome from zebrafish pentylenetetrazole (PTZ) model

description: Messenger RNA transcriptome data from wild-type zebrafish (Danio rerio) larvae after chemical-induced seizure using pentylenetetrazole (PTZ).. Three different conditions were investigated: (i) status epilepticus, SE (3h of PTZ-induced seizure); (ii) acute seizure, AC (20 minutes of PTZ-induced seizure); and (ii) a SE control group (no PTZ exposure). The study was carried out by high-throughput sequencing, using the TruSeq Stranded mRNA LT Sample Prep Kit (Illumina, San Diego, CA, USA) followed by sequencing by Illumina Hi-Seq 2500 (Illumina, San Diego, CA, USA).
DOI: 10.6084/m9.figshare.20512623
title: chironex_yamaguchii_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20512623.v1
title: chironex_yamaguchii_zanfona_1.fasta.gz

description: .......
DOI: 10.6069/jhj6-3f52
title: Whole blood peptide assay stability by MRM-MS

description: Here, we investigate how delays in plasma processing affect peptide-centric “bottom-up” proteomics, using multiple reaction monitoring mass spectrometry (MRM-MS).  We used validated Tier 2-level assays for proteotypic peptide surrogates of 270 human proteins to analyze plasma generated from whole blood that has been kept at room temperature from 0-40 hours before plasma generation.  Moreover, we evaluated whether different plasma thawing conditions had an impact on the MRM-based plasma protein measurements.
DOI: 10.6069/y3pc-xa49
title: Targeted MS based multi-omic analysis of blood plasma from COVID-19 patients to predict survival

description: Molecular signatures to discriminate patients based on risk of severe disease and mortality from COVID-19 infection are urgently required by the global medical community. Although non-targeted methods are useful for comprehensive ‘omic coverage, targeted MS-based approaches generally provide higher precision, and improved inter-laboratory reproducibility, allowing for more realistic materialization of true biomarkers via validation studies in independent cohorts. 
We found a relatively small subset of molecular features that can be used to predict the chances of survival of hospitalized COVID-19 patients within the first day of admission, using a robust LC-MRM setup which is already available in many clinical laboratories.
DOI: 10.13026/k0v0-6j70
title: Chest X-ray segmentation images based on MIMIC-CXR

description: As more and more artificial intelligence (AI) or deep learning technologies
have been applied to medical image applications such as radiological finding
identification in chest X-rays (CXRs), the interpretability of the prediction
model is crucial for building trust in AI. In pulmonary pathology detection,
the CXR images with proper anatomical segmentations could aid in interpreting
the models. However, the accuracy of the auto-segmentation algorithms was not
high enough to create such a benchmark. In this project, we provided
segmentation results of 1,141 frontal-view CXRs randomly selected from the
MIMIC-CXR database. These CXRs were first processed into a pair of segmented
images with the lung lobes and the rest parts by deep learning-based
algorithms. We then manually filtered out the incorrect segmentation results.
The segmented images maybe helpful for model interpretability.
DOI: 10.34740/kaggle/dsv/4090494
title: CottonWeedDet3
DOI: 10.5281/zenodo.7007845
title: auto_dataset_for_object_detection

description: auto_dataset_for_object_detection
DOI: 10.5281/zenodo.7007844
title: auto_dataset_for_object_detection

description: auto_dataset_for_object_detection
DOI: 10.25745/kr0x-ef95
title: Primary Water Level Time Series - Alligator Point

description: Alligator Point primary water level measurements (PWL). Raw data as received at CBI in CSV format. Time stamp following ISO 8601. PWL in meters referenced to station datum. Time series span: 1994-01-01 11:00 GMT through 2000-10-22 02:54 GMT.
DOI: 10.34740/kaggle/ds/2419296
title: Coconut Diseases and Pest Infestations
DOI: 10.18434/mds2-2703
title: Data for manuscript entitled "Time Programmable Frequency Comb: Generation and Application to Quantum-Limited Dual-Comb Ranging"
DOI: 10.6084/m9.figshare.20513871
title: Blue whale behavioral ecology

description: This collection contains data used in a study of the movement ecology of blue whales in the eastern North Pacific, off central California, USA. The study was published in Ecology Letters in 2022 and is entitled, “Oceanic giants dance to atmospheric rhythms: Ephemeral wind-driven resource tracking by blue whales.” As of this writing, the article does not yet have a DOI. Data include: <br> 1) Acoustic vector sensor (AVS) tracking of blue whale calls Annual periods of blue whale acoustic presence were analyzed across two years to examine the directional distribution of call origin around the MARS cabled observatory. Quality controlled data include the time, bearing, and call index of all manually validated seconds for which the blue whale B-call index exceeded a value of 1.25. These data appear in Figures 4 and 5 of the paper. The files are AVS_2019-2020.RData and AVS_2020-2021.RData. <br> 2) Modeled received levels at the MARS cabled observatory The geographic domain over which received signal is sufficient to reliably estimate the direction of blue whale B-call origin from the MARS cabled observatory was approximated by modeling of acoustic transmission loss. These data appear in Figure 2C of the paper. Model results represent received level (underwater dB) at the MARS cabled observatory, assuming appropriately specified intensity, depth, and frequency of the sound source and oceanographic physical conditions during the time of year when blue whale calling is most active. The file is ModeledReceivedLevel.RData. <br> 3) Animal-borne tag data Data from a biologging tag deployed on a blue whale were used to validate an acoustic vector sensor on the MARS cabled observatory. These data appear in Figure 3 of the paper and include information about whale behaviors (diving, calling, lunge feeding) and surface position from GPS. In addition to identified behavioral events, underlying hydrophone and accelerometer data used to identify behaviors during the period of matchup with AVS data are included. The file is Tag_bw191101-70.RData. <br> 4) Forage species aggregation data The area scattering (sa) within patches in the upper 200 m above the MARS cabled observatory, presented in Figure 5E of the paper, are in the file MARS_sa.RData.
DOI: 10.6084/m9.figshare.20513871.v1
title: Blue whale behavioral ecology

description: This collection contains data used in a study of the movement ecology of blue whales in the eastern North Pacific, off central California, USA. The study was published in Ecology Letters in 2022 and is entitled, “Oceanic giants dance to atmospheric rhythms: Ephemeral wind-driven resource tracking by blue whales.” As of this writing, the article does not yet have a DOI. Data include: <br> 1) Acoustic vector sensor (AVS) tracking of blue whale calls Annual periods of blue whale acoustic presence were analyzed across two years to examine the directional distribution of call origin around the MARS cabled observatory. Quality controlled data include the time, bearing, and call index of all manually validated seconds for which the blue whale B-call index exceeded a value of 1.25. These data appear in Figures 4 and 5 of the paper. The files are AVS_2019-2020.RData and AVS_2020-2021.RData. <br> 2) Modeled received levels at the MARS cabled observatory The geographic domain over which received signal is sufficient to reliably estimate the direction of blue whale B-call origin from the MARS cabled observatory was approximated by modeling of acoustic transmission loss. These data appear in Figure 2C of the paper. Model results represent received level (underwater dB) at the MARS cabled observatory, assuming appropriately specified intensity, depth, and frequency of the sound source and oceanographic physical conditions during the time of year when blue whale calling is most active. The file is ModeledReceivedLevel.RData. <br> 3) Animal-borne tag data Data from a biologging tag deployed on a blue whale were used to validate an acoustic vector sensor on the MARS cabled observatory. These data appear in Figure 3 of the paper and include information about whale behaviors (diving, calling, lunge feeding) and surface position from GPS. In addition to identified behavioral events, underlying hydrophone and accelerometer data used to identify behaviors during the period of matchup with AVS data are included. The file is Tag_bw191101-70.RData. <br> 4) Forage species aggregation data The area scattering (sa) within patches in the upper 200 m above the MARS cabled observatory, presented in Figure 5E of the paper, are in the file MARS_sa.RData.
DOI: 10.6084/m9.figshare.20513874
title: Nordgren et al.csv

description: This data is from the Sörmland Health Programme.
DOI: 10.6084/m9.figshare.20513874.v1
title: Nordgren et al.csv

description: This data is from the Sörmland Health Programme.
DOI: 10.6084/m9.figshare.20513868
title: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: a cross-sectional study from Nepal

description: This includes data analyzed in spss, questionnaire, consent form.
DOI: 10.6084/m9.figshare.20513868.v1
title: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: a cross-sectional study from Nepal

description: This includes data analyzed in spss, questionnaire, consent form.
DOI: 10.6084/m9.figshare.20513946
title: calvadosia_cruxmelitensis_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20513946.v1
title: calvadosia_cruxmelitensis_zanfona_1.fasta.gz

description: .......
DOI: 10.7303/syn34637740.2
title: Broad transcriptomic dysregulation occurs across the cerebral cortex in ASD
DOI: 10.5281/zenodo.6541953
title: Diazotroph Elemental Use Efficiency Model Output

description: Dataset containing model output from the PISCES QUOTA model for three experiments performed to explore the impact of global change on the niche and physiology of two explicit marine diazotrophs. The model included diazotroph specific thermal performance curves for growth and elemental use efficiencies (both iron and phosphorus). The experiments were run using the IPCC high emissions RCP8.5 scenario. The explicit diazotroph model for PISCES QUOTA can be found here: https://github.com/lewiswrightson/PISCES-QUOTA-P6Z
description: Other funding sources: U.S. National Science Foundation grants OCE 1851222 and OCE 2149837
DOI: 10.34740/kaggle/dsv/4090823
title: Final classifications models results
DOI: 10.5281/zenodo.7007933
title: Dataset - Experimental analysis of the dynamic inflow effect due to coherent gusts

description: Here the processed experimental data of the accepted paper given below is documented and made available: Berger, F., Neuhaus, L., Onnen, D., Hölling, M., Schepers, G., and Kühn, M.: Experimental analysis of the dynamic inflow effect due to coherent gusts, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2022-2, accepted, 2022.
DOI: 10.15156/bio/sh1367674.08fu
title: SH1367674.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1367675.08fu
title: SH1367675.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1574322.08fu
title: SH1574322.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1574323.08fu
title: SH1574323.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1367676.08fu
title: SH1367676.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1367677.08fu
title: SH1367677.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1574324.08fu
title: SH1574324.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.