cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sj9tmzmtst.1
title: Improving the Thermal Stability of Bacteriophages Through the Novel Use of Ensilication®

description: Ensilication is a sol-gel method whereby silanol groups are electrostatically bound to positively charged amino acid groups on the surface of the target biomolecule. The end result is the formation of a rigid silica shell around the target preventing it from physically unfolding due to temperature increases. This means that the ensilicated protein can be stored and transported without the cold chain. Here we propose the modification and use of our Ensilication method to improve the long-term thermal stability of bacteriophages K and MS2 at room temperature. Analytical techniques and in vitro bacterial culture will verify the ability and efficacy of the Ensilication method. We believe that the results from this study will prevent the need for cold chain of transportation and storage normally required for the use of bacteriophage therapeutics. In addition to this, we aim to visualise the Ensilication process for the first time, using electron microscopy. 
The data shows how bacteriophages were ensilicated and stored for long periods of time at room temperature while retaining their infectivity. Across the study phage K showed a loss of approximately 4 log in concentration. Considering how unstable the phages are at room temperature, both the ensilicated phages showed much greater resilience to extreme temperatures. No additional loss of titre after being heated at 90 ˚C for 30 minutes was observed when compared to loss already known from the Ensilication process.
Although Ensilication results in an immediate loss of 4 log titre of the ensilicated bacteriophage, the survival of the phages at room temperature compared to native lysates proves that ensilicated samples can remain viable for use for extended periods of time without refrigeration.
DOI: 10.17632/s6mycc59v6.1
title: UNE Treatment

description: Background: Ulnar neuropathy at the elbow (UNE) is primarily caused by entrapment in the cubital tunnel (CTE) or by external compression in the retrocondylar groove (RGC). This study examines the utility of surgery in UNE due to entrapment and external compression in a randomized controlled trial. Methods: Consecutive UNE patients referred to a single referral centre were categorized into CTE and RGC groups. Each group was randomly assigned to either surgery or conservative treatment by throwing the dice. After a one-year follow-up, their clinical, electrodiagnostic (EDx), and ultrasonographic (US) outcomes were compared. The primary outcome measure was the percentage of patients with markedly improved symptoms. Examiners were blinded to group assignment. We anticipated better results in surgically treated CTE patients, but expected no differences among the RGC groups. Findings: There were 32 CTE–surgery, 33 CTE–conservative, 33 RGC–surgery, and 32 RGC–conservative UNE patients analysed. The proportion of patients reporting markedly improved symptoms did not differ significantly across the four groups. However, among the CTE surgery patients, the percentage of individuals with decreased clinical severity, improved small finger abduction strength, increased motor nerve conduction velocity, and reduced maximal nerve cross-sectional area significantly improved compared to the CTE conservative group. In the RGC groups, no consistent difference in improvement was found. Interpretation: Although the primary outcome measure did not achieve statistical significance, several positive secondary outcomes in the CTE surgery arm support the preference for surgical intervention over conservative treatment for UNE patients with CTE. In contrast, the findings do not favour surgery for RGC patients.
DOI: 10.17632/w6s2r2rg5y
title: Calibration and validation data to build PINN-Sed: an interconnected Physics-Informed Machine Learning Model for Suspended Sediment Transport in River Network.

description: The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an interconnected Physics-Informed Machine Learning Model for suspended sediment transport in river network (PINN-Sed) can be found here. The data includes the date, flow discharge, and total sediment concentration at each monitoring site.
DOI: 10.17632/w6s2r2rg5y.1
title: Calibration and validation data to build PINN-Sed: an interconnected Physics-Informed Machine Learning Model for Suspended Sediment Transport in River Network.

description: The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an interconnected Physics-Informed Machine Learning Model for suspended sediment transport in river network (PINN-Sed) can be found here. The data includes the date, flow discharge, and total sediment concentration at each monitoring site.
DOI: 10.17632/37c6kc6yv6.1
title: Educating university teachers about sustainability: the impact of a massive open online course

description: Data of a study that seeks to evaluate the efficacy of a massive online open course (MOOC) in promoting the development of sustainability and Education for Sustainable Development (ESD) competences among university teachers. The information emerges from a pre-post survey (with open questions in the post part) and a follow-up survey.
DOI: 10.17632/37c6kc6yv6.2
title: Educating university teachers about sustainability: the impact of a massive open online course

description: Data of a study that seeks to evaluate the efficacy of a massive online open course (MOOC) in promoting the development of sustainability and Education for Sustainable Development (ESD) competences among university teachers. The information emerges from a pre-post survey (with open questions in the post part) and a follow-up survey.
DOI: 10.17632/9pjp2sn6d3.1
title: داده های مدلسازی عددی

description: داده ست مدلسازی عددی (زهکش لوله ای و پنجه ای)
DOI: 10.5281/zenodo.15353335
title: anser_erythropus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15353336
title: anser_erythropus_zanfona_1.fasta.gz
DOI: 10.17632/58bxvs3z86
title: داده های مدلسازی عددی

description: (داده‌ست های مدلسازی عددی(زهکش پنجه ای و لوله ای
DOI: 10.17632/58bxvs3z86.1
title: داده های مدلسازی عددی

description: (داده‌ست های مدلسازی عددی(زهکش پنجه ای و لوله ای
DOI: 10.15468/dl.dag6va
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthophora erythrothorax Michener, 1936"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018659-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15353351
title: anser_indicus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15353352
title: anser_indicus_zanfona_1.fasta.gz
DOI: 10.15468/dl.grjj8v
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is Filogeografía y recursos genéticos de las vainillas de México",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 90 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018660-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9e8fp
title: Occurrence Download

description: A dataset containing 3197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phrynosoma orbiculare (Linnaeus, 1758)"
 ]
}

 The dataset includes 3197 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018662-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khjtqe
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Amsterdam (NL) - Páramo Vegetation Research, Paramo \"El Almorzadero\", Colombia"
 ]
}

 The dataset includes 314 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018663-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/qg5ti1
title: Protomics OGDR Wt and MitoPPX dSH-SY5Y cells

description: Proteomics data from Wt and MitoPPX cells under control and OGDR conditions.
DOI: 10.15468/dl.pvdwdz
title: Occurrence Download

description: A dataset containing 4298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Glossina Wiedemann, 1830"
 ]
}

 The dataset includes 4298 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018664-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15353361
title: anser_rossii_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15353362
title: anser_rossii_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15353347
title: Proxy soil temperature and moisture regimes (climate regimes) in southwestern U.S. drylands: 1980-1999 and 2000-2019

description: Spatially explicit and climate sensitive information on the responses of ecosystems to global change processes is required for strategic planning and prioritization of conservation and restoration. Indicators of ecological resilience and invasion resistance (R&R) are used increasingly to understand the influence of climate regimes on ecosystem responses to global change processes and determine effective management strategies. We developed proxy soil temperature and moisture regimes, or climate regimes, for southwestern U.S. drylands that accounted for precipitation seasonality and climate change at a scale of 1 kilometer (km). The climate variables that we used, mean annual temperature, precipitation, and monsoon index, allowed us to construct climate sensitive and ecologically meaningful climate regimes that mirrored the soil temperature and moisture regimes in the U.S. National Cooperative Soil Survey data and Ecological Site Descriptions that are widely used by managers in the western U.S. The climate regimes reflected the dominant ecological types and plant functional groups and allowed us to develop meaningful indicators of R&R. Particularly important was identification of a monsoon index value (0.30) to delineate areas with an ustic (summer moist) precipitation regime as indicated by the frequency of C4 vs. C3 grass species. This data publication provides climate regimes raster data (GeoTIFF format) that include four temperature regimes (cryic, frigid, mesic, and hypermesic), both ustic and xeric/aridic moisture regimes, and multiple moisture subclasses based on average precipitation zones (PZ). These climate regimes were used to develop two spatial data layers of the climate regimes for two consecutive time periods: 1980-1999, and 2000-2019.
DOI: 10.5281/zenodo.15353348
title: Proxy soil temperature and moisture regimes (climate regimes) in southwestern U.S. drylands: 1980-1999 and 2000-2019

description: Spatially explicit and climate sensitive information on the responses of ecosystems to global change processes is required for strategic planning and prioritization of conservation and restoration. Indicators of ecological resilience and invasion resistance (R&R) are used increasingly to understand the influence of climate regimes on ecosystem responses to global change processes and determine effective management strategies. We developed proxy soil temperature and moisture regimes, or climate regimes, for southwestern U.S. drylands that accounted for precipitation seasonality and climate change at a scale of 1 kilometer (km). The climate variables that we used, mean annual temperature, precipitation, and monsoon index, allowed us to construct climate sensitive and ecologically meaningful climate regimes that mirrored the soil temperature and moisture regimes in the U.S. National Cooperative Soil Survey data and Ecological Site Descriptions that are widely used by managers in the western U.S. The climate regimes reflected the dominant ecological types and plant functional groups and allowed us to develop meaningful indicators of R&R. Particularly important was identification of a monsoon index value (0.30) to delineate areas with an ustic (summer moist) precipitation regime as indicated by the frequency of C4 vs. C3 grass species. This data publication provides climate regimes raster data (GeoTIFF format) that include four temperature regimes (cryic, frigid, mesic, and hypermesic), both ustic and xeric/aridic moisture regimes, and multiple moisture subclasses based on average precipitation zones (PZ). These climate regimes were used to develop two spatial data layers of the climate regimes for two consecutive time periods: 1980-1999, and 2000-2019.
DOI: 10.15468/dl.5r72dw
title: Occurrence Download

description: A dataset containing 5664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eudyptes chrysocome (J.R.Forster, 1781)"
 ]
}

 The dataset includes 5664 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018665-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/25044329
title: Data from: Rapid and cost-effective screening of genetic markers associated with pyrethroid resistance in <i>Musca domestica</i> using RNAse H2 PCR (rhPCR)

description: Pyrethroid resistance, particularly knockdown resistance (<i>kdr</i>), is widespread in insect<i> </i>pest populations, but rarely has <i>kdr</i> been associated with field-level pest control failure. The prevailing understanding is that <i>kdr </i>contributes to a resistant phenotype, but this knowledge has remained largely an academic pursuit and has not translated to tools and strategies needed by agricultural producers to make rapid decisions for effective resistance management. As a first step in providing these operational tools, we developed robust assays using the high specificity of rhPCR to reduce <i>kdr</i> assessment time by approximately 80% and costs ~75% from the traditional Sanger based method used for <i>Musca domestica</i>. An important consideration for the use of an operational tool is the ability to get an accurate result on the first attempt, so we used Nanopore sequencing to confirm genotypes in a subset of samples and found the first pass genotyping accuracy of rhPCR method to be 75.0%, versus 41.2% with the traditional Sanger method. To demonstrate the broad applicability and comparability of screening for <i>kdr</i> SNPs using rhPCR, we conducted the largest assessment of <i>kdr</i> genotypes of <i>M. domestica</i> in United States dairy operations and found similar <i>kdr</i> patterns to other recent studies using traditional methods.
DOI: 10.15482/usda.adc/25044329.v1
title: Data from: Rapid and cost-effective screening of genetic markers associated with pyrethroid resistance in <i>Musca domestica</i> using RNAse H2 PCR (rhPCR)

description: Pyrethroid resistance, particularly knockdown resistance (<i>kdr</i>), is widespread in insect<i> </i>pest populations, but rarely has <i>kdr</i> been associated with field-level pest control failure. The prevailing understanding is that <i>kdr </i>contributes to a resistant phenotype, but this knowledge has remained largely an academic pursuit and has not translated to tools and strategies needed by agricultural producers to make rapid decisions for effective resistance management. As a first step in providing these operational tools, we developed robust assays using the high specificity of rhPCR to reduce <i>kdr</i> assessment time by approximately 80% and costs ~75% from the traditional Sanger based method used for <i>Musca domestica</i>. An important consideration for the use of an operational tool is the ability to get an accurate result on the first attempt, so we used Nanopore sequencing to confirm genotypes in a subset of samples and found the first pass genotyping accuracy of rhPCR method to be 75.0%, versus 41.2% with the traditional Sanger method. To demonstrate the broad applicability and comparability of screening for <i>kdr</i> SNPs using rhPCR, we conducted the largest assessment of <i>kdr</i> genotypes of <i>M. domestica</i> in United States dairy operations and found similar <i>kdr</i> patterns to other recent studies using traditional methods.
DOI: 10.15468/dl.9x46q3
title: Occurrence Download

description: A dataset containing 348953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sula variegata (Tschudi, 1843)"
 ]
}

 The dataset includes 348953 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018657-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11706651
title: Antutu Benchmark
DOI: 10.5281/zenodo.10565087
title: Zebrafish Seizure Behavior Classification Dataset and Trained ML Models

description: This datasets includes trained machine learning models for seizure behavior classification in zebrafish as well as the dataset used to create the models. The dataset consists of video clips which were annotated one of five behaviors "stationary", "normal swim", "whirlpool", "convulsion", and "posture loss" as well as corresponding vectors of tracking data originating the the multi-camera array microscope (MCAM) by Ramona Optics Inc..
DOI: 10.5281/zenodo.10565088
title: Zebrafish Seizure Behavior Classification Dataset and Trained ML Models

description: This datasets includes trained machine learning models for seizure behavior classification in zebrafish as well as the dataset used to create the models. The dataset consists of video clips which were annotated one of five behaviors "stationary", "normal swim", "whirlpool", "convulsion", and "posture loss" as well as corresponding vectors of tracking data originating the the multi-camera array microscope (MCAM) by Ramona Optics Inc..
DOI: 10.5281/zenodo.10625176
title: Zebrafish Seizure Behavior Motion Analysis Dataset Part 2

description: This dataset includes one zip file dataset which is representative of a multi-camera array microscope (MCAM) acquisiton of 7 dpf zebrafish and eight key point tracking analysis results. This file along with "Zebrafish Seizure Behavior Motion Analysis Dataset Part 1" can be used to test the functionality of the provided analysis scripts in our GitLab repository. Please note that results will differ from those published because more datasets were pooled to generate final results. Due to data size storage limitations, not all data can be uploaded here. Complete data furnished upon request.
DOI: 10.5281/zenodo.10625177
title: Zebrafish Seizure Behavior Motion Analysis Dataset Part 2

description: This dataset includes one zip file dataset which is representative of a multi-camera array microscope (MCAM) acquisiton of 7 dpf zebrafish and eight key point tracking analysis results. This file along with "Zebrafish Seizure Behavior Motion Analysis Dataset Part 1" can be used to test the functionality of the provided analysis scripts in our GitLab repository. Please note that results will differ from those published because more datasets were pooled to generate final results. Due to data size storage limitations, not all data can be uploaded here. Complete data furnished upon request.
DOI: 10.5281/zenodo.10624844
title: Zebrafish Seizure Behavior Motion Analysis Dataset Part 1

description: This dataset includes two zip file datasets which are representative of multi-camera array microscope (MCAM) acquisitons of 3 and 5 dpf zebrafish and eight key point tracking analysis results. These two files along with "Zebrafish Seizure Behavior Motion Analysis Dataset Part 2" can be used to test the functionality of the provided analysis scripts in our GitLab repository. Please note that results will differ from those published because more datasets were pooled to generate final results. Due to data size storage limitations, not all data can be uploaded here. Complete data furnished upon request.
DOI: 10.5281/zenodo.10624845
title: Zebrafish Seizure Behavior Motion Analysis Dataset Part 1

description: This dataset includes two zip file datasets which are representative of multi-camera array microscope (MCAM) acquisitons of 3 and 5 dpf zebrafish and eight key point tracking analysis results. These two files along with "Zebrafish Seizure Behavior Motion Analysis Dataset Part 2" can be used to test the functionality of the provided analysis scripts in our GitLab repository. Please note that results will differ from those published because more datasets were pooled to generate final results. Due to data size storage limitations, not all data can be uploaded here. Complete data furnished upon request.
DOI: 10.15468/dl.vrgja8
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Saltator coerulescens Vieillot, 1817",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 315 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018666-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15353380
title: atlantirivulus_ribeirensis_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15353381
title: atlantirivulus_ribeirensis_zanfona_1.fasta.gz