cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rwajrw
title: Occurrence Download

description: A dataset containing 22136056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melospiza S.F.Baird, 1858, Melospila Baly, 1861, Melospiza S.F.Baird, 1858, Melospila Baly, 1861, Melozone Reichenbach, 1850, Melozone Reichenbach, 1850, Melozone Reichenbach, 1850, Menura Latham, 1802, Menura Bonaparte, 1851, Megura Rasnitsyn, 1968, Menora Medler, 1999, Metura Walker, 1855, Megura Nevsky, 1929, Menera Motschulsky, 1860, Monura Ehrenberg, 1830, Monura Mabille, 1876, Metura Butler, 1873, Monura Gistl, 1848, Meonura, Moenura Gray, 1869, Merganetta Gould, 1842, Marganetta Gould, 1841, Mergellus Selby, 1840, Mergus Linnaeus, 1758, Mergus Brisson, 1760, Merus J.Gistel, 1856, Margus, Margus Dejean, 1834, Margus Redtenbacher, 1842, Merges Lacordaire, 1869, Merlus Guichenot, 1848, Merus Poey, 1871, Merlus de la Fresnaye, 1838, Merops Linnaeus, 1758, Megops C.J.Schoenherr, 1844, Merope M.Roem., Merope Newman, 1838, Mecops Latreille, 1828, Melops Sturm, 1826, Merope E.von Martens, 1860, Merope H.Adams & A.Adams, 1856, Merope Thomson, 1882, Merope Wedd., Meropis Hübner, 1822, Mesops Erichson, 1842, Mesops Günther, 1862, Mesops Serville, 1831, Menops Marsh, 1887, Mesops Billberg, 1820, Mirops Snajdr, 1987, Morops Enderlein, 1930, Maerops Buckton, 1903, Merops Linnaeus, 1758, Megops C.J.Schoenherr, 1844, Merope M.Roem., Merope Newman, 1838, Mecops Latreille, 1828, Melops Sturm, 1826, Merope E.von Martens, 1860, Merope H.Adams & A.Adams, 1856, Merope Thomson, 1882, Merope Wedd., Meropis Hübner, 1822, Mesops Erichson, 1842, Mesops Günther, 1862, Mesops Serville, 1831, Menops Marsh, 1887, Mesops Billberg, 1820, Mirops Snajdr, 1987, Morops Enderlein, 1930, Maerops Buckton, 1903, Merops Linnaeus, 1758, Megops C.J.Schoenherr, 1844, Merope M.Roem., Merope Newman, 1838, Mecops Latreille, 1828, Melops Sturm, 1826, Merope E.von Martens, 1860, Merope H.Adams & A.Adams, 1856, Merope Thomson, 1882, Merope Wedd., Meropis Hübner, 1822, Mesops Erichson, 1842, Mesops Günther, 1862, Mesops Serville, 1831, Menops Marsh, 1887, Mesops Billberg, 1820, Mirops Snajdr, 1987, Morops Enderlein, 1930, Maerops Buckton, 1903, Merops Linnaeus, 1758, Megops C.J.Schoenherr, 1844, Merope M.Roem., Merope Newman, 1838, Mecops Latreille, 1828, Melops Sturm, 1826, Merope E.von Martens, 1860, Merope H.Adams & A.Adams, 1856, Merope Thomson, 1882, Merope Wedd.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 22136056 records from 738 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013266-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.space.02830
title: Ionospheric Observations Over the Asia-Australia Sector During the May 2024 Superstorm Recovery Phase
title: Ionospheric Observations Over the Asia-Australia Sector During the May 2024 Superstorm Recovery Phase

description: The GNSS total electron content (TEC) data with a sampling rate of 30s are binned into 1°×1° grids every 30 minutes to investigate the ionospheric variation during the storm, and are archived in the files 'GNSSgridTEC20240511.mat' and 'GNSSgridTEC20240512.mat'.The Rate of TEC index (ROTI) data is binned into 1°×1° grids every 5 minutes to investigate the ionospheric irregularities during the storm, and are archived in the files 'GridRoti2024132withgglob.mat' and 'GridRoti2024133withgglob.mat'.Thermospheric wind velocities at altitudes near 250 km during nighttime are obtained using Fabry-Perot interferometer (FPI) instruments at Xinglong (117.6°E, 40.4°N; Yuan et al., 2010) and Mohe (122.3°E, 53.5°N; Li et al., 2021). These instruments calculate wind velocities from Doppler shifts in airglow emissions observed in four directions (north, east, south, and west) at an elevation angle of 45°.The FPI wind data from Xinglong spanning May 6–15, 2024, is archived in the file 'XingLongFPI.mat'. The FPI wind data from Mohe covering May 1–21, 2024, is stored in 'MoheFPI.mat'.Swarm data are archived in the files 'SwarmEFIA20240511.mat' and 'SwarmEFIB20240511.mat'.DMSP data are archived in the files 'f17_20240509.mat', 'f17_20240511.mat', 'f18_20240509.mat', and 'f18_20240511.mat'.The data type is '*.mat' available in MATLAB.
description: The GNSS total electron content (TEC) data with a sampling rate of 30s are binned into 1°×1° grids every 30 minutes to investigate the ionospheric variation during the storm, and are archived in the files 'GNSSgridTEC20240511.mat' and 'GNSSgridTEC20240512.mat'.The Rate of TEC index (ROTI) data is binned into 1°×1° grids every 5 minutes to investigate the ionospheric irregularities during the storm, and are archived in the files 'GridRoti2024132withgglob.mat' and 'GridRoti2024133withgglob.mat'.Thermospheric wind velocities at altitudes near 250 km during nighttime are obtained using Fabry-Perot interferometer (FPI) instruments at Xinglong (117.6°E, 40.4°N; Yuan et al., 2010) and Mohe (122.3°E, 53.5°N; Li et al., 2021). These instruments calculate wind velocities from Doppler shifts in airglow emissions observed in four directions (north, east, south, and west) at an elevation angle of 45°.The FPI wind data from Xinglong spanning May 6–15, 2024, is archived in the file 'XingLongFPI.mat'. The FPI wind data from Mohe covering May 1–21, 2024, is stored in 'MoheFPI.mat'.Swarm data are archived in the files 'SwarmEFIA20240511.mat' and 'SwarmEFIB20240511.mat'.DMSP data are archived in the files 'f17_20240509.mat', 'f17_20240511.mat', 'f18_20240509.mat', and 'f18_20240511.mat'.The data type is '*.mat' available in MATLAB.
DOI: 10.15468/dl.e2ndbx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis aureus (Steindachner, 1864)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024356-250525065834625/datasets/export for details.
DOI: 10.25403/upresearchdata.26403478
title: Evaluation of the antibacterial activity and mechanism of action of CPF-MW1

description: The data provided represent the results of the titled study above. The study aimed to evaluate the antimicrobial activity and the mechanism of action of the frog-derived antimicrobial peptide CPF-MW1 against Gram-negative bacteria using E. coli ATCC 700928 as a model organism. The objectives of the study included the following:
Antibacterial activity determination (both anti-planktonic and anti-biofilm)Peptide cytotoxicity evaluation both on human erythrocytes and HaCaT cell line.Mechanism of action evaluation including time-kill kinetics, membrane permeabilisation and scanning electron microscopy.Peptide stability in physiological conditions evaluated by pre-exposure to proteolytic enzyme (trypsin) and fetal calf serum.
<br>
All data provided represents a set of three independent experiments performed in triplicate, unless stated otherwise. Data was analyzed and processed using GraphPad prism 8 software. Each data point was calculated as an average of three biological repeats each consisting of three technical repeats generating 9 data points unless stated otherwise. All data was expressed as means ± standard error of the means (SEM). The normality of data was first determined and depending on the normality of the data, multiple comparisons were tested using either the One-way ANOVA with Turkey’s post hoc tests, or the Kruskal-Wallis ANOVA with Duns’ post hoc tests. Significance was determined at a 95% confidence interval, and any p-value &lt; 0.05 was identified as significant.
<br>
DOI: 10.25403/upresearchdata.26403478.v1
title: Evaluation of the antibacterial activity and mechanism of action of CPF-MW1

description: The data provided represent the results of the titled study above. The study aimed to evaluate the antimicrobial activity and the mechanism of action of the frog-derived antimicrobial peptide CPF-MW1 against Gram-negative bacteria using E. coli ATCC 700928 as a model organism. The objectives of the study included the following:
Antibacterial activity determination (both anti-planktonic and anti-biofilm)Peptide cytotoxicity evaluation both on human erythrocytes and HaCaT cell line.Mechanism of action evaluation including time-kill kinetics, membrane permeabilisation and scanning electron microscopy.Peptide stability in physiological conditions evaluated by pre-exposure to proteolytic enzyme (trypsin) and fetal calf serum.
<br>
All data provided represents a set of three independent experiments performed in triplicate, unless stated otherwise. Data was analyzed and processed using GraphPad prism 8 software. Each data point was calculated as an average of three biological repeats each consisting of three technical repeats generating 9 data points unless stated otherwise. All data was expressed as means ± standard error of the means (SEM). The normality of data was first determined and depending on the normality of the data, multiple comparisons were tested using either the One-way ANOVA with Turkey’s post hoc tests, or the Kruskal-Wallis ANOVA with Duns’ post hoc tests. Significance was determined at a 95% confidence interval, and any p-value &lt; 0.05 was identified as significant.
<br>
DOI: 10.5517/ccdc.csd.cc29zjjc
title: CCDC 2144503: Experimental Crystal Structure Determination

description: Related Article: Jie Ma, Savannah C. Kapper, Aamani Ponnekanti, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2024|Appl.Organomet.Chem.|38|e6728|doi:10.1002/aoc.6728
description: Related Article: Jie Ma, Savannah C. Kapper, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2023|U.S.Patents|||
description: Related Article: Jie Ma, Savannah C. Kapper≈, Aamani Ponnekanti, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2023|U.S.Patents|||
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: 10.5517/ccdc.csd.cc29zlqm
title: CCDC 2144571: Experimental Crystal Structure Determination

description: Related Article: Jie Ma, Savannah C. Kapper, Aamani Ponnekanti, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2024|Appl.Organomet.Chem.|38|e6728|doi:10.1002/aoc.6728
description: Related Article: Jie Ma, Savannah C. Kapper, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2023|U.S.Patents|||
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: 10.5517/ccdc.csd.cc29zlrn
title: CCDC 2144572: Experimental Crystal Structure Determination

description: Related Article: Jie Ma, Savannah C. Kapper, Aamani Ponnekanti, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2024|Appl.Organomet.Chem.|38|e6728|doi:10.1002/aoc.6728
description: Related Article: Jie Ma, Savannah C. Kapper, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2023|U.S.Patents|||
description: Related Article: Jie Ma, Savannah C. Kapper≈, Aamani Ponnekanti, Jonas Schaab, Peter I. Djurovich, Mark E. Thompson|2023|U.S.Patents|||
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: 10.15468/dl.ngztng
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer shangszeense W.P.Fang & Soong"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037943-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzf784
title: Occurrence Download

description: A dataset containing 1541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hetaerina vulnerata Hagen, 1853"
 ]
}

 The dataset includes 1541 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037942-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7s9kt
title: Occurrence Download

description: A dataset containing 1661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hetaerina cruentata (Rambur, 1842)"
 ]
}

 The dataset includes 1661 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037944-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chapx2
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((93.83718 6.53774,97.16892 -6.67216,105.76128 -9.19027,111.4603 -4.14104,107.42715 4.44326,93.83718 6.53774))",
 "HasGeospatialIssue is false",
 "TaxonKey is Nepenthes sumatrana (Miq.) Beck"
 ]
}

 The dataset includes 98 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037945-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13879842
title: Telemetry data from male sperm whales (Physeter macrocephalus) instrumented in Arctic Norway and Svalbard

description: This dataset includes tracking data from 26 adult male sperm whales instrumented in the Norwegian Arctic. The whales were instrumented between 2020 and 2023 with Wildlife computer satellite tags transmitting positions through the ARGOS system. It also includes dive data for four individuals.
DOI: 10.5281/zenodo.13879843
title: Telemetry data from male sperm whales (Physeter macrocephalus) instrumented in Arctic Norway and Svalbard

description: This dataset includes tracking data from 26 adult male sperm whales instrumented in the Norwegian Arctic. The whales were instrumented between 2020 and 2023 with Wildlife computer satellite tags transmitting positions through the ARGOS system. It also includes dive data for four individuals.
DOI: 10.5281/zenodo.12804785
title: Variation in forest root image annotation by experts, novices, and AI

description: Background

The manual study of root dynamics using images requires huge investments of time and resources and is prone to previously poorly quantified annotator bias. AI image-processing tools have been successful in overcoming limitations of manual annotation in homogeneous soils, but their efficiency and accuracy is yet to be widely tested on less homogenous, non-agricultural soil profiles, e.g., that of forests, from which data on root dynamics are key to understanding the carbon cycle. Here, we quantify variance in root length measured by human annotators with varying experience levels. We evaluate the application of a convolutional neural network (CNN) model, trained on a software accessible to researchers without a machine learning background, on a heterogeneous minirhizotron image dataset taken in a multispecies, mature, deciduous temperate forest.

Results

Less experienced annotators consistently identified more root length than experienced annotators. Root length annotation also varied between experienced annotators. The CNN root length results were neither precise nor accurate, taking ~10% of the time but significantly overestimating root length compared to expert manual annotation (p=0.01). The CNN net root length change results were closer to manual (p=0.08) but there remained substantial variation.

Conclusions

Manual root length annotation is contingent on the individual annotator. The only accessible CNN model cannot yet produce root data of sufficient accuracy and precision for ecological applications when applied to a complex, heterogeneous forest image dataset. A continuing evaluation and development of accessible CNNs for natural ecosystems is required.
DOI: 10.5281/zenodo.12804786
title: Variation in forest root image annotation by experts, novices, and AI

description: Background

The manual study of root dynamics using images requires huge investments of time and resources and is prone to previously poorly quantified annotator bias. AI image-processing tools have been successful in overcoming limitations of manual annotation in homogeneous soils, but their efficiency and accuracy is yet to be widely tested on less homogenous, non-agricultural soil profiles, e.g., that of forests, from which data on root dynamics are key to understanding the carbon cycle. Here, we quantify variance in root length measured by human annotators with varying experience levels. We evaluate the application of a convolutional neural network (CNN) model, trained on a software accessible to researchers without a machine learning background, on a heterogeneous minirhizotron image dataset taken in a multispecies, mature, deciduous temperate forest.

Results

Less experienced annotators consistently identified more root length than experienced annotators. Root length annotation also varied between experienced annotators. The CNN root length results were neither precise nor accurate, taking ~10% of the time but significantly overestimating root length compared to expert manual annotation (p=0.01). The CNN net root length change results were closer to manual (p=0.08) but there remained substantial variation.

Conclusions

Manual root length annotation is contingent on the individual annotator. The only accessible CNN model cannot yet produce root data of sufficient accuracy and precision for ecological applications when applied to a complex, heterogeneous forest image dataset. A continuing evaluation and development of accessible CNNs for natural ecosystems is required.
DOI: 10.15468/dl.djmdyr
title: Occurrence Download

description: A dataset containing 1076414 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ethiopia"
 ]
}

 The dataset includes 1076414 records from 905 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037907-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13881283
title: Narrative economics exemplified: the case of the "pension system collapse" narrative in Poland - dataset

description: This is a dataset and R script for the paper: Narrative economics exemplified: the case of the "pension system collapse" narrative in Poland, authored by Łukasz Baszczak.

Data was collected in November 2022 using online questionnarie.
DOI: 10.5281/zenodo.13881284
title: Narrative economics exemplified: the case of the "pension system collapse" narrative in Poland - dataset

description: This is a dataset and R script for the paper: Narrative economics exemplified: the case of the "pension system collapse" narrative in Poland, authored by Łukasz Baszczak.

Data was collected in November 2022 using online questionnarie.
DOI: 10.5281/zenodo.13881331
title: Supplemnetary material for "Analysis of Azathioprine metabolites in blood - method de-velopment and validation"
DOI: 10.5281/zenodo.13881332
title: Supplemnetary material for "Analysis of Azathioprine metabolites in blood - method de-velopment and validation"
DOI: 10.25829/db7sh4
title: Forest cover loss for Finland (e-shape, 0.0075 degrees)

description: This EBV dataset is based completely on the time series analysis produced by Hansen et al., (2013) in the version 1.8, which examines the global Landsat archive at a special resolution of 30 meters to characterize global forest extent and change from 2000 trough 2020. In this EBV dataset we focus on "Forest Cover loss" defined as a stand-replacement disturbance, or a change from a forest to non-forest state. The original data from Hansen et al., (2013), was processed using a factor of 30 to aggregate to a new spatial resolution of 900 x 900 meters and are structured in the multidimensional and standard format proposed by the GEO BON community for the Essential Biodiversity Variables.
DOI: 10.15468/dl.3vutxh
title: Occurrence Download

description: A dataset containing 1541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hetaerina vulnerata Hagen, 1853"
 ]
}

 The dataset includes 1541 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037946-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqwth5
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer skutchii Rehder"
 ]
}

 The dataset includes 259 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037947-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz6crv
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Year 2011-2024"
 ]
}

 The dataset includes 397 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037949-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trqej5
title: Occurrence Download

description: A dataset containing 1661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hetaerina cruentata (Rambur, 1842)"
 ]
}

 The dataset includes 1661 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037948-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6s7uvx
title: Occurrence Download

description: A dataset containing 535505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Insect Species Occurrence Data from Multiple Projects Worldwide with Focus on Bees and Wasps in North America",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 535505 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037875-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.