cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3965804
title: Data collected from interviews with PMs' about the developers' work

description: We interview professionals who work with project management in the software industry to collect their opinion about the developers' work measurement.
DOI: 10.18716/nmrshiftdb2/2339
title: NMR data for (S)-Methyl 4-methoxy 3-(4,5,6-trimethoxy-2-methoxycarbonylphenyl)phenazine-2-carboxylate
DOI: 10.5255/ukda-sn-853743
title: Cross-border litigation in England and Wales: Initial Brexit implications 2016-2018
DOI: 10.17632/gg5xrndmhn.1
title: Data for: Iron reduction by diverse actinobacteria and the formation of secondary minerals

description: The figures are raw SEM photos, the texts in TXT format are instructions of the SEM photos, and the Excel table contains raw tested data of Fe(III) reduction.
DOI: 10.5281/zenodo.3366191
title: Haptic Saliency Model for Rigid Textured Surfaces

description: When touching an object, we focus more on some of its parts rather than touching the whole object’s surface, i.e. some parts are more salient than others. Here we investigated how different physical properties of rigid, plastic, relieved textures determine haptic exploratory behavior. We produced haptic stimuli whose textures were locally defined by random distributions of four independent features: amplitude, spatial frequency, orientation and isotropy. Participants explored two stimuli one after the other and in order to promote exploration we asked them to judge their similarity. We used a linear regression model to relate the features and their gradients to the exploratory behavior (spatial distribution of touch duration). The model predicts human behavior significantly better than chance, suggesting that exploratory movements are to some extent driven by the low level features we investigated. Remarkably, the contribution of each predictor changed as a function of the spatial scale in which it was defined, showing that haptic exploration preferences are spatially tuned, i.e. specific features are most salient at different spatial scales. Metzger, A., Toscani, M., Valsecchi, M. & Drewing, K. (2018) Haptic saliency model for rigid textured surfaces. In Prattichizzo, D., Shinoda, H., Tan, H. Z., Ruffaldi, E. & Frisoli, A. (Eds.), Haptics: Science, Technology, and Applications, 11th International Conference, EuroHaptics 2018, Pisa, Italy, June 13-16, 2018, Proceedings, Part I (pp. 389–400). Springer International Publishing, Cham. Data of the experiment is stored in a zip file, containing all data relative to the publication. The 'movement' folder containes participnts' movement data. The 'stimuli' folder containes the 2D and 3D models of the stimuli. Explanaition and coding of the data is provided in the file VARIABLE_CODES.txt.
DOI: 10.5281/zenodo.3366192
title: Haptic Saliency Model for Rigid Textured Surfaces

description: When touching an object, we focus more on some of its parts rather than touching the whole object’s surface, i.e. some parts are more salient than others. Here we investigated how different physical properties of rigid, plastic, relieved textures determine haptic exploratory behavior. We produced haptic stimuli whose textures were locally defined by random distributions of four independent features: amplitude, spatial frequency, orientation and isotropy. Participants explored two stimuli one after the other and in order to promote exploration we asked them to judge their similarity. We used a linear regression model to relate the features and their gradients to the exploratory behavior (spatial distribution of touch duration). The model predicts human behavior significantly better than chance, suggesting that exploratory movements are to some extent driven by the low level features we investigated. Remarkably, the contribution of each predictor changed as a function of the spatial scale in which it was defined, showing that haptic exploration preferences are spatially tuned, i.e. specific features are most salient at different spatial scales. Metzger, A., Toscani, M., Valsecchi, M. & Drewing, K. (2018) Haptic saliency model for rigid textured surfaces. In Prattichizzo, D., Shinoda, H., Tan, H. Z., Ruffaldi, E. & Frisoli, A. (Eds.), Haptics: Science, Technology, and Applications, 11th International Conference, EuroHaptics 2018, Pisa, Italy, June 13-16, 2018, Proceedings, Part I (pp. 389–400). Springer International Publishing, Cham. Data of the experiment is stored in a zip file, containing all data relative to the publication. The 'movement' folder containes participnts' movement data. The 'stimuli' folder containes the 2D and 3D models of the stimuli. Explanaition and coding of the data is provided in the file VARIABLE_CODES.txt.
DOI: 10.18716/nmrshiftdb2/2341
title: NMR data for 1-Acetyl-8-hydroxynaphtho[2,3-c]furan-4,9-dione; Arthoniafurone A
DOI: 10.18716/nmrshiftdb2/2343
title: NMR data for Paederosidic acid methyl ester
DOI: 10.7910/dvn/lmqlmp/5xyx48
title: Meta Data.pdf

description: :unav
DOI: 10.7910/dvn/lmqlmp/trjwyi
title: VOL.s6-reentry-network-zz.tab

description: :unav
DOI: 10.7910/dvn/lmqlmp/wkbwsa
title: Departure curve.tab

description: :unav
DOI: 10.18716/nmrshiftdb2/2342
title: NMR data for 1-(-D-glucopyranosyloxy)-2,3-dihydroxycyclopentane-1-carbonitrile; Passiguatemalin
DOI: 10.7910/dvn/xhriyx/7q2iu0
title: TreesGrammarClassesAndMetrics.z01
DOI: 10.7910/dvn/xhriyx/cbkseh
title: TreesGrammarClassesAndMetrics.z08
DOI: 10.7910/dvn/xhriyx/jurp1v
title: TreesGrammarClassesAndMetrics.z04
DOI: 10.7910/dvn/xhriyx/layxe6
title: TreesGrammarClassesAndMetrics.z02
DOI: 10.7910/dvn/xhriyx/mnkjbw
title: TreesGrammarClassesAndMetrics.z07
DOI: 10.7910/dvn/xhriyx/ql85qb
title: TreesGrammarClassesAndMetrics.z05
DOI: 10.7910/dvn/xhriyx/qsvuqk
title: TreesGrammarClassesAndMetrics.z03
DOI: 10.7910/dvn/xhriyx/uwg216
title: TreesGrammarClassesAndMetrics.z06
DOI: 10.7910/dvn/xhriyx/8lapwx
title: TreesGrammarClassesAndMetrics.z13
DOI: 10.7910/dvn/xhriyx/bko88v
title: TreesGrammarClassesAndMetrics.z18
DOI: 10.7910/dvn/xhriyx/bx1why
title: TreesGrammarClassesAndMetrics.z09
DOI: 10.7910/dvn/xhriyx/d2ljzn
title: TreesGrammarClassesAndMetrics.z11
DOI: 10.7910/dvn/xhriyx/gctvpu
title: TreesGrammarClassesAndMetrics.z12
DOI: 10.7910/dvn/xhriyx/m1e489
title: TreesGrammarClassesAndMetrics.z17
DOI: 10.7910/dvn/xhriyx/qx6cgp
title: TreesGrammarClassesAndMetrics.z10
DOI: 10.7910/dvn/xhriyx/qxwsen
title: TreesGrammarClassesAndMetrics.z15
DOI: 10.7910/dvn/xhriyx/ubr36w
title: TreesGrammarClassesAndMetrics.z16
DOI: 10.7910/dvn/xhriyx/xlqckq
title: TreesGrammarClassesAndMetrics.z14
DOI: 10.18716/nmrshiftdb2/2344
title: NMR data for 7,16-diacetoxy-4,20R-dihydroxy-5,6-epoxy-1-oxo-witha-2,24-dienolide; 7,16-diacetoxywithanolide D
DOI: 10.7910/dvn/xhriyx/05gtal
title: TreesGrammarClassesAndMetrics.z24
DOI: 10.7910/dvn/xhriyx/6cwow9
title: TreesGrammarClassesAndMetrics.z27
DOI: 10.7910/dvn/xhriyx/ev53ud
title: TreesGrammarClassesAndMetrics.z25
DOI: 10.7910/dvn/xhriyx/igrloa
title: TreesGrammarClassesAndMetrics.z23
DOI: 10.7910/dvn/xhriyx/lldbxi
title: TreesGrammarClassesAndMetrics.z21
DOI: 10.7910/dvn/xhriyx/rm06hd
title: TreesGrammarClassesAndMetrics.z26
DOI: 10.7910/dvn/xhriyx/utvujc
title: TreesGrammarClassesAndMetrics.z19
DOI: 10.7910/dvn/xhriyx/vzll0p
title: TreesGrammarClassesAndMetrics.z20
DOI: 10.7910/dvn/xhriyx/yk7a1g
title: TreesGrammarClassesAndMetrics.z22
DOI: 10.18716/nmrshiftdb2/2347
title: NMR data for (5R*,8S*,9S*,10R*)-Cleroda-3,13E-dien-15-oic acid
DOI: 10.21227/8erw-9f13
title: kW Wind turbine

description: This dataset contain sImulation resultsunder construction, will be submitted shortly
DOI: 10.7910/dvn/xhriyx/7czqmp
title: TreesGrammarClassesAndMetrics.z29
DOI: 10.7910/dvn/xhriyx/8w1fuj
title: TreesGrammarClassesAndMetrics.z30
DOI: 10.7910/dvn/xhriyx/b1zm5m
title: TreesGrammarClassesAndMetrics.z36
DOI: 10.7910/dvn/xhriyx/cvgbhi
title: TreesGrammarClassesAndMetrics.z28
DOI: 10.7910/dvn/xhriyx/jym6bs
title: TreesGrammarClassesAndMetrics.z33
DOI: 10.7910/dvn/xhriyx/nvoogh
title: TreesGrammarClassesAndMetrics.z34
DOI: 10.7910/dvn/xhriyx/qky7ww
title: TreesGrammarClassesAndMetrics.z32
DOI: 10.7910/dvn/xhriyx/qpelfh
title: TreesGrammarClassesAndMetrics.z31
DOI: 10.7910/dvn/xhriyx/vayyef
title: TreesGrammarClassesAndMetrics.z35
DOI: 10.25345/c5165s
title: MassIVE MSV000084199 - Composition of the Intranuclear Inclusions of Fragile X-associated Tremor/Ataxia Syndrome
title: Fragile X-associated tremor/ataxia syndrome (FXTAS) is a neurodegenerative disorder associated with a premutation repeat expansion (55-200 CGG repeats) in the 5 prime noncoding region of the FMR1 gene. Solitary intranuclear inclusions within FXTAS neurons and astrocytes constitute a hallmark of the disorder, yet our understanding of how and why these bodies form is limited. Here, we have discovered that FXTAS inclusions emit a distinct autofluorescence spectrum, which forms the basis of a novel, unbiased method for isolating FXTAS inclusions, by preparative fluorescence-activated cell sorting (FACS). Using a combination of autofluorescence-based FACS and liquid chromatography/tandem mass spectrometry (LC-MS/MS) based proteomics, we have identified more than two hundred proteins that are enriched within the inclusions relative to FXTAS whole nuclei. Whereas no single protein species dominates inclusion composition, highly enriched levels of conjugated small ubiquitin-related modifier 2 (SUMO 2) protein and p62/sequestosome-1 (p62/SQSTM1) protein were found within the inclusions. Many additional proteins involved with RNA binding, protein turnover, and DNA damage repair were enriched within inclusions relative to total nuclear protein. The current analysis has also allowed the first direct detection, through peptide sequencing, of endogenous FMRpolyG peptide, the product of repeat-associated non-ATG (RAN) translation of the FMR1 mRNA. However, this peptide was found only at extremely low levels, and not within whole FXTAS nuclear preparations, raising the question as to whether endogenous RAN products exist at quantities sufficient to contribute to FXTAS pathogenesis. The abundance of the inclusion-associated ubiquitin- and SUMO-based modifiers supports a model for inclusion formation as the result of increased protein loads and elevated oxidative stress leading to mal-adaptive autophagy. These results highlight the need to further investigate FXTAS pathogenesis in the context of endogenous systems.
DOI: 10.7910/dvn/xhriyx/0kn2aq
title: TreesGrammarClassesAndMetrics.z43
DOI: 10.7910/dvn/xhriyx/0rj5ce
title: TreesGrammarClassesAndMetrics.z40
DOI: 10.7910/dvn/xhriyx/2nyrks
title: TreesGrammarClassesAndMetrics.z41
DOI: 10.7910/dvn/xhriyx/ckkp4p
title: TreesGrammarClassesAndMetrics.z38
DOI: 10.7910/dvn/xhriyx/cn7upk
title: TreesGrammarClassesAndMetrics.z42
DOI: 10.7910/dvn/xhriyx/dzvgzz
title: TreesGrammarClassesAndMetrics.z46
DOI: 10.7910/dvn/xhriyx/enn74v
title: TreesGrammarClassesAndMetrics.z44
DOI: 10.7910/dvn/xhriyx/gap1qm
title: TreesGrammarClassesAndMetrics.z39
DOI: 10.7910/dvn/xhriyx/xfomq1
title: TreesGrammarClassesAndMetrics.z37
DOI: 10.7910/dvn/xhriyx/09d2tx
title: TreesGrammarClassesAndMetrics.z51
DOI: 10.7910/dvn/xhriyx/agzhhe
title: TreesGrammarClassesAndMetrics.z48
DOI: 10.7910/dvn/xhriyx/jqagrh
title: TreesGrammarClassesAndMetrics.z45
DOI: 10.7910/dvn/xhriyx/l4b87l
title: TreesGrammarClassesAndMetrics.z50
DOI: 10.7910/dvn/xhriyx/onif7x
title: TreesGrammarClassesAndMetrics.z47
DOI: 10.7910/dvn/xhriyx/rhxusf
title: TreesGrammarClassesAndMetrics.z55
DOI: 10.7910/dvn/xhriyx/sbbxn8
title: TreesGrammarClassesAndMetrics.z52
DOI: 10.7910/dvn/xhriyx/xcnznt
title: TreesGrammarClassesAndMetrics.z49
DOI: 10.7910/dvn/xhriyx/zehwnv
title: TreesGrammarClassesAndMetrics.z53
DOI: 10.7910/dvn/xhriyx/1gmppx
title: TreesGrammarClassesAndMetrics.z57
DOI: 10.7910/dvn/xhriyx/bo2rme
title: TreesGrammarClassesAndMetrics.z59
DOI: 10.7910/dvn/xhriyx/lrimbq
title: TreesGrammarClassesAndMetrics.z56
DOI: 10.7910/dvn/xhriyx/num3zc
title: TreesGrammarClassesAndMetrics.z62
DOI: 10.7910/dvn/xhriyx/nwmhby
title: TreesGrammarClassesAndMetrics.z60
DOI: 10.7910/dvn/xhriyx/rwrg5i
title: TreesGrammarClassesAndMetrics.z61
DOI: 10.7910/dvn/xhriyx/s2apnl
title: TreesGrammarClassesAndMetrics.z63
DOI: 10.7910/dvn/xhriyx/tgchgm
title: TreesGrammarClassesAndMetrics.z54
DOI: 10.7910/dvn/xhriyx/vlbzsu
title: TreesGrammarClassesAndMetrics.z58
DOI: 10.7910/dvn/xhriyx/cai81f
title: TreesGrammarClassesAndMetrics.z72
DOI: 10.7910/dvn/xhriyx/ceuuoc
title: TreesGrammarClassesAndMetrics.z65
DOI: 10.7910/dvn/xhriyx/h8bzpa
title: TreesGrammarClassesAndMetrics.z64
DOI: 10.7910/dvn/xhriyx/rfucpp
title: TreesGrammarClassesAndMetrics.z70
DOI: 10.7910/dvn/xhriyx/sfhh0v
title: TreesGrammarClassesAndMetrics.z68
DOI: 10.7910/dvn/xhriyx/ssvhya
title: TreesGrammarClassesAndMetrics.z69
DOI: 10.7910/dvn/xhriyx/yqsmg6
title: TreesGrammarClassesAndMetrics.z67
DOI: 10.7910/dvn/xhriyx/zs3qc9
title: TreesGrammarClassesAndMetrics.z66
DOI: 10.21227/mv68-be87
title: kW Wind turbine

description: This dataset contain sImulation resultsDFIG generatorunder construction, will be submitted shortly
DOI: 10.7910/dvn/xhriyx/b2oyp3
title: TreesGrammarClassesAndMetrics.z74
DOI: 10.7910/dvn/xhriyx/b5flv1
title: TreesGrammarClassesAndMetrics.z75
DOI: 10.7910/dvn/xhriyx/cenvr6
title: TreesGrammarClassesAndMetrics.z71
DOI: 10.7910/dvn/xhriyx/hjlekq
title: TreesGrammarClassesAndMetrics.z73
DOI: 10.7910/dvn/xhriyx/iiohnl
title: TreesGrammarClassesAndMetrics.z78
DOI: 10.7910/dvn/xhriyx/p8lrsk
title: TreesGrammarClassesAndMetrics.z76
DOI: 10.7910/dvn/xhriyx/rfuvjj
title: TreesGrammarClassesAndMetrics.z79
DOI: 10.7910/dvn/xhriyx/tvep8s
title: TreesGrammarClassesAndMetrics.z81
DOI: 10.7910/dvn/xhriyx/xdyx88
title: TreesGrammarClassesAndMetrics.z77
DOI: 10.7910/dvn/xhriyx/58eheb
title: TreesGrammarClassesAndMetrics.z86
DOI: 10.7910/dvn/xhriyx/e7tvxu
title: TreesGrammarClassesAndMetrics.z83
DOI: 10.7910/dvn/xhriyx/gde2vm
title: TreesGrammarClassesAndMetrics.z90
DOI: 10.7910/dvn/xhriyx/kovp5d
title: TreesGrammarClassesAndMetrics.z84
DOI: 10.7910/dvn/xhriyx/mjastt
title: TreesGrammarClassesAndMetrics.z85
DOI: 10.7910/dvn/xhriyx/rhddbo
title: TreesGrammarClassesAndMetrics.z82
DOI: 10.7910/dvn/xhriyx/rotpvk
title: TreesGrammarClassesAndMetrics.z88
DOI: 10.7910/dvn/xhriyx/vca9vn
title: TreesGrammarClassesAndMetrics.z80
DOI: 10.7910/dvn/xhriyx/wxyiyz
title: TreesGrammarClassesAndMetrics.z89
DOI: 10.7910/dvn/xhriyx/xtiycw
title: TreesGrammarClassesAndMetrics.z87
DOI: 10.7910/dvn/xhriyx/6hm9nx
title: TreesGrammarClassesAndMetrics.zip
DOI: 10.7910/dvn/xhriyx/iv5gfp
title: readme.txt

description: Description of the dataset and the format of the (rest of the) files.
DOI: 10.7910/dvn/xhriyx/kq82sx
title: TreesGrammarClassesAndMetrics.z91
DOI: 10.7910/dvn/xhriyx/xwbktu
title: real_metrics.txt

description: :unav
DOI: 10.7910/dvn/xhriyx/yredxf
title: TreesGrammarClassesAndMetrics.z92
DOI: 10.25739/d14n-3758
title: Genetic Architecture of Maize Kernel Composition in the Nested Association Mapping and Inbred Association Panels - Data

description: Data in this directory is associated with Cook et al., 2012, Plant Physiology. The data types in this directory tree are phenotypic data for the maize NAM population and 282 association panel and SNP data for the maize association panel. Plants were grown in seven locations and NIR spectroscopy analysis was performed on whole kernels from two selfed plants to predict starch, protein, oil, and moisture contents. Best linear unbiased estimators for those are presented. In addition, the 282 inbred association panel was genotyped with the Illumina MaizeSNP50 BeadChip, an Infinium-based assay to produce a filtered dataset of 51,741 SNPs.
DOI: 10.15468/zlwrgr
title: Discovery of a specialist Copelatinae fauna on Madagascar: highly ephemeral tropical forest floor depressions as an overlooked habitat for diving beetles (Coleoptera, Dytiscidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ranarilalatiana, Tolotra, Bergsten, Johannes (2019): Discovery of a specialist Copelatinae fauna on Madagascar: highly ephemeral tropical forest floor depressions as an overlooked habitat for diving beetles (Coleoptera, Dytiscidae). ZooKeys 871: 89-118, DOI: http://dx.doi.org/10.3897/zookeys.871.36337, URL: http://dx.doi.org/10.3897/zookeys.871.36337
DOI: 10.15468/adgzyj
title: A new species of the genus Takydromus (Squamata, Lacertidae) from southwestern Guangdong, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Jian, Lyu, Zhi-Tong, Yang, Chen-Yu, Li, Yu-Long, Wang, Ying-Yong (2019): A new species of the genus Takydromus (Squamata, Lacertidae) from southwestern Guangdong, China. ZooKeys 871: 119-139, DOI: http://dx.doi.org/10.3897/zookeys.871.35947, URL: http://dx.doi.org/10.3897/zookeys.871.35947
DOI: 10.15468/bd6lmv
title: Two new species of the genus Meleonoma Meyrick from China (Lepidoptera, Gelechioidea, Xyloryctidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yin, Aihui, Cai, Yanpeng (2019): Two new species of the genus Meleonoma Meyrick from China (Lepidoptera, Gelechioidea, Xyloryctidae). ZooKeys 871: 79-87, DOI: http://dx.doi.org/10.3897/zookeys.871.35738, URL: http://dx.doi.org/10.3897/zookeys.871.35738
DOI: 10.15468/fymnev
title: Isotrema sanyaense, a new species of Aristolochiaceae from Hainan, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Li, Rongtao, Wang, Zhiwei, Wang, Jun, Zhu, Xinxin, Xu, Han (2019): Isotrema sanyaense, a new species of Aristolochiaceae from Hainan, China. PhytoKeys 128: 85-96, DOI: http://dx.doi.org/10.3897/phytokeys.128.35042, URL: http://dx.doi.org/10.3897/phytokeys.128.35042
DOI: 10.15468/lpfaoc
title: A new species of the genus Dryinus Latreille (Hymenoptera, Dryinidae) from the USA

description: This dataset contains the digitized treatments in Plazi based on the original journal article Speranza, Stefano, Olmi, Massimo, Guglielmino, Adalgisa, Contarini, Mario (2019): A new species of the genus Dryinus Latreille (Hymenoptera, Dryinidae) from the USA. ZooKeys 871: 41-47, DOI: http://dx.doi.org/10.3897/zookeys.871.35974, URL: http://dx.doi.org/10.3897/zookeys.871.35974
DOI: 10.15468/sfx4af
title: Two new species of Molophilus Curtis from the Mediterranean and Transcaucasia (Diptera, Limoniidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stary, Jaroslav, Obona, Jozef (2019): Two new species of Molophilus Curtis from the Mediterranean and Transcaucasia (Diptera, Limoniidae). ZooKeys 871: 49-53, DOI: http://dx.doi.org/10.3897/zookeys.871.34559, URL: http://dx.doi.org/10.3897/zookeys.871.34559
DOI: 10.5519/qd.8cdykf1g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.18739/a2x921j5d
title: Interior Alaskan bog to fen gradient wetland soil 16S rRNA (ribosomal ribonucleic acid) metagenomes, Alaska, 2013-2018

description: The dataset includes 16S rRNA (ribosomal ribonucleic acid) amplicon sequencing data from sites located near Fairbanks and Anchorage, Alaska. The 16S metagenomes were collected from 2014-2018, and the V4 region of the 16S rRNA gene was sequenced. The dataset characterizes the microbial community structure of wetland soils with trophic status ranging from bog to fen. The sequence data includes DNA (deoxyribonucleic acid) and RNA (ribonucleic acid) sequencing data from sites along the bog to fen gradient.
DOI: 10.5061/dryad.p33659q/1
title: Dryad Item 10.5061/DRYAD.P33659Q/1

description: (:tba)
DOI: 10.5061/dryad.p33659q/2
title: Dryad Item 10.5061/DRYAD.P33659Q/2

description: (:tba)
DOI: 10.5061/dryad.p33659q/3
title: Dryad Item 10.5061/DRYAD.P33659Q/3

description: (:tba)
DOI: 10.5061/dryad.h5g7nt7/1
title: Dryad Item 10.5061/DRYAD.H5G7NT7/1

description: (:tba)
DOI: 10.5519/qd.v8d8osdw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.6073/pasta/f173c9ac08764b43f2855a41f99b5af2
title: Saddle catchment sensor network data, 2017- ongoing.

description: Spatial and temporal variability characterizes virtually all ecosystems, with resource supply changing over the course of growing season and across years due to climate variation. To better understand spatial heterogeneity in ecological response across landscape positions, we established a 16-node sensor array within a 45 hectare catchment landscape that measures temporal variability of important biogeochemical and hydrological controls on ecosystem processes. The array was established at the Niwot Saddle catchment in order to accompany long term water quality and discharge records taken at the top and bottom of this catchment. The region forms an important ecological linkage between the the terrestrial areas of the Niwot Ridge LTER and the aquatic component in the Green Lakes Valley.
DOI: 10.15482/usda.adc/1504190
title: Data from: Phenotypic Variation in Leaf Morphology of the USDA-ARS Sweetpotato Germplasm Collection
DOI: 10.25919/5d524bf92703e
title: Parkes observations for project P1006 semester 2019APRS_12

description: We propose observations with the ultra-wide-bandwidth, low-frequency receiver installed at the Parkes telescope to carry out the first ultra-high time resolution, coherently de-dispersed search for pulsars in globular clusters. We have chosen the 11 most likely clusters for new discoveries. These clusters all have at least three pulsars already known allowing us to have a precise estimate of the pulsar dispersion measures and our observations will provide the first ultra-wide-bandwidth observation of these pulsars. Our observing strategy will enable us to search for extremely narrow pulsars and even pulsars with sub-millisecond periods.
DOI: 10.5281/zenodo.3366332
title: IFRS convergence and CSR reporting

description: This is the data set that has been used in the article titled " Does IFRS promote CSR reporting; Evidence from IFRS convergence in India"
DOI: 10.5281/zenodo.3366333
title: IFRS convergence and CSR reporting

description: This is the data set that has been used in the article titled " Does IFRS promote CSR reporting; Evidence from IFRS convergence in India"
DOI: 10.5281/zenodo.3366279
title: Reference annotations for the eQTL Catalogue

description: Reference annotations for the eQTL Catalogue
DOI: 10.5281/zenodo.3366280
title: Reference annotations for the eQTL Catalogue

description: Reference annotations for the eQTL Catalogue
DOI: 10.5281/zenodo.3366341
title: Real-Time High-Rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes

description: Post-processed and real-time GNSS displacement waveforms for the 2019 Ridgecrest earthquakes. Waveforms are for the M6.4 and M7.1 events recorded at 1 and 5Hz sample rates. Data are in miniSEED format, channel codes LYE, LYN, LYZ correspond to east, north, and up respectively. Displacement units are meters and time is UTC. The data are trimmed 60s before the USGS origin times for<br> the earthquakes. No filtering has been applied. A paper describing the data has been submitted to SRL. In the meantime if you use the data please cite our preprint on the EarthArXiv as: Melgar, D., TI Melbourne, BW Crowell, J Geng, W Szeliga, C Scrivner, M Santillan, DER Goldberg. 2019. Real-time High-rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes. EarthArXiv, doi:10.31223/osf.io/pdxqw.