cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive172399.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172399.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/yyj2i55i
title: EvalRS

description: The EvalRS dataset is a music recommendation dataset used for the E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems paper.
DOI: 10.13145/bacdive172400.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172400.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172401.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172401.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172402.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/rudyhzku
title: Automatic road crack detection from pavement images

description: A dataset for automatic road crack detection from pavement images.
DOI: 10.13145/bacdive172402.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172403.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172403.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/7nn525ej
title: Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks

description: The bipartite Sherrington-Kirkpatrick model is a mathematically tractable spin glass model, which is formally similar to a Restricted Boltzmann Machine (RBM) neural network.
DOI: 10.13145/bacdive172404.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172404.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172405.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172405.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/hpq1x2ei
title: Using Bug Report Discussions to Guide Fixing Bugs in Software

description: We propose various input context representations, encompassing different natural language components that are tied to the discussions and likely to capture their meaningful aspects.
DOI: 10.13145/bacdive172406.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172406.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172407.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172407.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/15twqfq1
title: Virtual KITTI 2

description: The Virtual KITTI 2 dataset is a synthetic clone of the real KITTI dataset, containing 5 sequence clones of Scene 01, 02, 06, 18 and 20, and nine variants with diverse weather conditions or modified camera configurations.
DOI: 10.13145/bacdive172408.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172408.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172409.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172409.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/8m88cgt0
title: Stabilized conforming nodal integration

description: The stabilized conforming nodal integration (SCNI) approach is employed for the domain integration of the weak form (Eq. (13)) to achieve computational efficiency and accuracy.
DOI: 10.13145/bacdive172410.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172410.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172411.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/icj6tooq
title: SDSS blind test dataset

description: The dataset used for testing the utility of the nearest neighbor machine learning algorithm for photometric redshift estimation.
DOI: 10.13145/bacdive172411.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172412.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172412.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.26022/ieda/112762
title: Hydrogen peroxide, solute and methane released from crushing sedimentary rocks

description: Three sedimentary samples and a sediment sample from subglacial environments and from a previously glaciated terrain were crushed and incubated to investigate the potential for subglacial abrasion to generate H2O2 and release bio‑utilisable volatile fatty acids (VFA’s) and nutrients (N, Fe). Samples were broken up using either a pestle and mortar or mallet and plate. The 125um to 2mm fraction was then used in incubations (Coarse) or crushed further using a ball mill for 30 mins at 500rpm (Crushed). Approximately 1 g of sample was then incubated in serum vials at 4 °C with 15 ml of 18.2 MΩ water for 3 mins, 5 or 25 hours. Headspace gases were then analysed at each time point, after which the serum bottles were opened and the slurry was filtered using a 0.22 µm PES Steriflip® Vacuum Filtration System (Millipore). A 4 ml aliquot was then taken to analyse pH and H2O2 immediately after filtering, the remainder of the solution was frozen and used to analyse for SO42-, dFe, NH4+, acetate and formate.
description: Abrasion of sedimentary rocks as a source of hydrogen peroxide and nutrients to subglacial ecosystems
DOI: 10.57702/wt7bs0my
title: Gender stereotypes in Italian language

description: The dataset is a questionnaire with 537 people, analyzed to see if gender stereotypes were present.
DOI: 10.13145/bacdive172413.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172413.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172414.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172414.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/hx8elgd3
title: OCRTOC Dataset

description: A dataset for object recognition and manipulation
DOI: 10.13145/bacdive172415.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172415.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172416.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172416.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.4121/fac2f69c-850e-4836-a76e-b38d65ebda17
title: Data underlying the publication: Gaming the Unknown: Learning to differentiate and respond to uncertainty through a serious game

description: Survey and discussion data extracted in an experimental setting, using pre, post and in-game surveys to find changes in attitude on uncertainty and infer learning effects. The experimental setting involved 55 students playing a serious game based on the NL2120 vision in which they take the role of civil servant, and are challenged to create ex-post pathways. The goal is to learn about uncertainty. Contains in addition to the multiple-choice, scale based ratings and open answers, a post-game discussion script. Additionally, on the quantitative data (multiple-choice and scale based ratings), we used statistical tests to find significance. Together they support the results and conclusions for the paper: Gaming the Unknown: Learning to differentiate and respond to uncertainty through a serious game.
DOI: 10.57702/3en7tlmr
title: CHiME-4

description: The CHiME-4 dataset is a large-scale speech recognition dataset, containing over 2 hours of speech from 6 channels.
DOI: 10.13145/bacdive172417.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172417.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.4121/fac2f69c-850e-4836-a76e-b38d65ebda17.v2
title: Data underlying the publication: Gaming the Unknown: Learning to differentiate and respond to uncertainty through a serious game

description: Survey and discussion data extracted in an experimental setting, using pre, post and in-game surveys to find changes in attitude on uncertainty and infer learning effects. The experimental setting involved 55 students playing a serious game based on the NL2120 vision in which they take the role of civil servant, and are challenged to create ex-post pathways. The goal is to learn about uncertainty. Contains in addition to the multiple-choice, scale based ratings and open answers, a post-game discussion script. Additionally, on the quantitative data (multiple-choice and scale based ratings), we used statistical tests to find significance. Together they support the results and conclusions for the paper: Gaming the Unknown: Learning to differentiate and respond to uncertainty through a serious game.
DOI: 10.57702/xkz4my2w
title: Semantic Communication Dataset

description: The dataset used in this paper for semantic communication, consisting of images and their corresponding captions.
DOI: 10.13145/bacdive172418.20241212.9.2
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive172418.20251217.10
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.15135719
title: TABLE 1 in Allamanda alagoana (Apocynaceae), a remarkable new species from Northeastern Brazil

description: TABLE 1. Comparison of morphological characters and geographical distribution of species of Allamanda with capsules lacking spines.
A. alagoanaA. laevisA. nobilisA. weberbaueriHabitShrub with climbing branchesTreeShrub with climbing branchesShrub with erect branches or treePetiole lengthAbsent or 3–4 mm5–15 mm3–4 mm10–15 mmLeaf blade indumentGlabrous adaxially, veins abaxially piloseGlabrousPubescentGlabrous adaxially, pubescent abaxiallyVenationBrochidodromousCraspedodromousBrochidodromousBrochidodromousCalyx indumentGlabrousGlabrousPubescentGlabrousCalycinal colletersAbsentPresentAbsentPresentCorolla lobe indumentGlabrousGlabrousPiloseGlabrousNectary morphologyAnnular, 5-lobedAnnular, entireAnnular, entireAnnular, entireCapsule ornamentationMuricateSmoothSmoothSmoothDistribution and habitatBrazil; Atlantic ForestBrazil; Atlantic Forest, Caatinga and CerradoBrazil, French Guiana, Colombia and Venezuela; Amazon ForestPeru; Amazon Forest
description: Published as part of Alves-Silva, Jarina Waléria & Coutinho, Thales Silva, 2023, Allamanda alagoana (Apocynaceae), a remarkable new species from Northeastern Brazil, pp. 192 in Phytotaxa 613 (2) on page 192, DOI: 10.11646/phytotaxa.613.2.8, http://zenodo.org/record/8345872
DOI: 10.5281/zenodo.15135720
title: TABLE 1 in Allamanda alagoana (Apocynaceae), a remarkable new species from Northeastern Brazil

description: TABLE 1. Comparison of morphological characters and geographical distribution of species of Allamanda with capsules lacking spines.
A. alagoanaA. laevisA. nobilisA. weberbaueriHabitShrub with climbing branchesTreeShrub with climbing branchesShrub with erect branches or treePetiole lengthAbsent or 3–4 mm5–15 mm3–4 mm10–15 mmLeaf blade indumentGlabrous adaxially, veins abaxially piloseGlabrousPubescentGlabrous adaxially, pubescent abaxiallyVenationBrochidodromousCraspedodromousBrochidodromousBrochidodromousCalyx indumentGlabrousGlabrousPubescentGlabrousCalycinal colletersAbsentPresentAbsentPresentCorolla lobe indumentGlabrousGlabrousPiloseGlabrousNectary morphologyAnnular, 5-lobedAnnular, entireAnnular, entireAnnular, entireCapsule ornamentationMuricateSmoothSmoothSmoothDistribution and habitatBrazil; Atlantic ForestBrazil; Atlantic Forest, Caatinga and CerradoBrazil, French Guiana, Colombia and Venezuela; Amazon ForestPeru; Amazon Forest
description: Published as part of Alves-Silva, Jarina Waléria & Coutinho, Thales Silva, 2023, Allamanda alagoana (Apocynaceae), a remarkable new species from Northeastern Brazil, pp. 192 in Phytotaxa 613 (2) on page 192, DOI: 10.11646/phytotaxa.613.2.8, http://zenodo.org/record/8345872
DOI: 10.5281/zenodo.15135680
title: Table 1 in Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position

description: Table 1. Primers and references for PCR protocols for amplification of the four DNA fragments sequenced in the study.
DNA fragmentPrimer namePrimer directionPrimer sequence (5 ′ -3 ′)Primer sourcePCR programme18S rRNA18S_Tar_1Ff 18S_Tar_1Rrforward reverseAGGCGAAACCGCGAATGGCTC GCCGCAGGCTCCACTCCTGGStec et al. (2017a)Zeller (2010)28S rRNA28S_Eutar_F 28SR0990forward reverseACCCGCTGAACTTAAGCATAT CCTTGGTCCGTGTTTCAAGACGąsiorek et al. (2018); Mironov et al. (2012)Mironov et al. (2012)ITS-2Eutar_Ff Eutar_Rrforward reverseCGTAACGTGAATTGCAGGAC TCCTCCGCTTATTGATATGCStec et al. (2018c)Stec et al. (2018c)COILCO1490 HCO2198forward reverseGGTCAACAAATCATAAAGATATTGG TAAACTTCAGGGTGACCAAAAAATCAFolmer et al. (1994)Michalczyk et al. (2012)
description: Published as part of Coughlan, Kyle & Stec, Daniel, 2019, Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position, pp. 5 in European Journal of Taxonomy 573 on page 5, DOI: 10.5852/ejt.2019.573, http://zenodo.org/record/3526912
DOI: 10.5281/zenodo.15135679
title: Table 1 in Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position

description: Table 1. Primers and references for PCR protocols for amplification of the four DNA fragments sequenced in the study.
DNA fragmentPrimer namePrimer directionPrimer sequence (5 ′ -3 ′)Primer sourcePCR programme18S rRNA18S_Tar_1Ff 18S_Tar_1Rrforward reverseAGGCGAAACCGCGAATGGCTC GCCGCAGGCTCCACTCCTGGStec et al. (2017a)Zeller (2010)28S rRNA28S_Eutar_F 28SR0990forward reverseACCCGCTGAACTTAAGCATAT CCTTGGTCCGTGTTTCAAGACGąsiorek et al. (2018); Mironov et al. (2012)Mironov et al. (2012)ITS-2Eutar_Ff Eutar_Rrforward reverseCGTAACGTGAATTGCAGGAC TCCTCCGCTTATTGATATGCStec et al. (2018c)Stec et al. (2018c)COILCO1490 HCO2198forward reverseGGTCAACAAATCATAAAGATATTGG TAAACTTCAGGGTGACCAAAAAATCAFolmer et al. (1994)Michalczyk et al. (2012)
description: Published as part of Coughlan, Kyle & Stec, Daniel, 2019, Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position, pp. 5 in European Journal of Taxonomy 573 on page 5, DOI: 10.5852/ejt.2019.573, http://zenodo.org/record/3526912
DOI: 10.5281/zenodo.15135681
title: Table 2 in Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position

description: Table 2. Measurements (in μm) and pt values of selected morphological structures of the holotype and paratypes of Macrobiotus noongaris sp. nov. mounted in Hoyer’s medium (N = number of specimens/ structures measured; Range = the smallest and the largest structure among all measured specimens; SD = standard deviation).
CharacterNRange µm ptMean µm ptSD µm ptHolotype µm ptBody length30333–5571039 – 1332461120156714431205Buccopharyngeal tubeBuccal tube length3031.8–43.538.3–3.4–36.8–Stylet support insertion point3024.7–34.676.7–81.630.278.72.81.028.878.3Buccal tube external width304.4–7.413.8–17.95.915.50.71.05.715.4Buccal tube internal width302.9–5.08.0–11.94.110.60.60.93.710.1Ventral lamina length3019.4–27.855.4–70.223.461.12.13.222.059.7Placoid lengthsMacroplacoid 1308.0–12.724.5–3.610.627.61.41.710.528.5Macroplacoid 2305.2–8.815.0–21.07.018.31.11.66.116.5Microplacoid302.0–4.26.2–9.73.18.00.51.02.97.9Macroplacoid row3013.9–22.741.9–57.718.447.92.63.517.146.5Placoid row3016.4–26.151.3–63.722.157.52.83.321.257.6Claw 1 heightsExternal primary branch307.5–10.920.8–28.79.625.20.92.110.428.3External secondary branch305.5–9.414.8–24.37.519.61.12.58.422.9Internal primary branch306.7–10.219.2–29.69.023.70.82.39.224.9Internal secondary branch305.4–8.216.6–22.17.319.10.71.77.821.1Claw 2 heightsExternal primary branch308.5–12.122.9–32.910.527.60.82.512.132.9External secondary branch306.1–9.916.6–26.58.422.00.92.39.124.7Internal primary branch307.9–10.320.9–29.39.524.90.61.99.425.6Internal secondary branch306.5–8.816.4–24.97.720.30.72.08.823.9Claw 3 heightsExternal primary branch308.8–11.923.6–32.710.527.40.72.111.330.6External secondary branch306.1–9.717.9–25.88.321.80.82.18.924.2Internal primary branch307.4–10.722.4–29.69.524.80.71.89.525.8Internal secondary branch305.5–9.316.6–25.27.519.60.92.09.325.2Claw 4 lengthsAnterior primary branch308.2–12.322.7–32.210.527.51.12.611.832.2Anterior secondary branch305.4–9.715.7–25.18.021.01.02.49.225.1Posterior primary branch308.6–12.023.1–32.710.527.50.82.611.130.3Posterior secondary branch305.6–9.516.3–26.58.021.01.12.68.924.1
description: Published as part of Coughlan, Kyle & Stec, Daniel, 2019, Two new species of the Macrobiotus hufelandi complex (Tardigrada: Eutardigrada: Macrobiotidae) from Australia and India, with notes on their phylogenetic position, pp. 7 in European Journal of Taxonomy 573 on page 7, DOI: 10.5852/ejt.2019.573, http://zenodo.org/record/3526912