cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21958/phenotype:140
title: DTF sweden 2009 (2nd experiment)
DOI: 10.21958/phenotype:141
title: DTF sweden 2008 (2nd experiment)

description: FT was recorded daily as days to flower after germination in Experiments 1 and 2 with four replicates under each of the four conditions.
DOI: 10.21958/phenotype:142
title: Mature cell length

description: The cell length of fully elongated cells (mature-cell length) was measured in the cortex tissue layer
DOI: 10.21958/phenotype:143
title: Meristem zone length

description: The size of the meristem was measured from the quiescent center to the onset of the rapid longitudinal cell expansion in the cortex tissue (meristem zone length)
DOI: 10.21958/phenotype:144
title: M216T665
DOI: 10.21958/phenotype:145
title: M130T666
DOI: 10.21958/phenotype:146
title: M172T666
DOI: 10.21958/phenotype:262
title: FT16

description: Flowering time was scored as days until first
open flower
description: Seeds for all 1135 accessions were surface-sterilized with chlorine gas. Seeds were distributed in pots with four replicates in a randomized block design, each replicate corresponding to one block. Plants were grown in growth chambers with the following settings: after 6 days of stratification in the dark at 4ºC, constant temperature 16°C with 16 hours light / 8 hours darkness, 65% humidity. All trays within a block were moved to a new shelf and rotated 180º every other day to minimize position effects.
DOI: 10.22011/strenda_db.3jiilj
title: Human Myeloblastin: Interactions with Three Nonessential Activators

description: Myeloblastin (AGP7) (C-ANCA antigen) (Leukocyte proteinase 3) (PR-3) (PR3) (Neutrophil proteinase 4) (NP-4) (P29) (Wegener autoantigen), P24158, Hydrolysis of proteins, including elastin, by preferential cleavage: -Ala! &gt; -Val!
DOI: 10.22011/strenda_db.5v5mwu
title: Human Neutrophil Elastase: Kinetics with Four Synthetic Substrates

description: Neutrophil elastase (Bone marrow serine protease) (Elastase-2) (Human leukocyte elastase) (HLE) (Medullasin) (PMN elastase), P08246, Hydrolysis of proteins, including elastin. Preferential cleavage Val!  &gt;  Ala!
DOI: 10.22011/strenda_db.d9yphc
title: Human Myeloblastin: Kinetics with Four Synthethic Substrates

description: Myeloblastin (AGP7) (C-ANCA antigen) (Leukocyte proteinase 3) (PR-3) (PR3) (Neutrophil proteinase 4) (NP-4) (P29) (Wegener autoantigen), P24158, Hydrolysis of proteins, including elastin, by preferential cleavage: -Ala! &gt; -Val!
DOI: 10.22011/strenda_db.3iznok
title: TrpB2 enzymes are o-phospho-L-serine dependent tryptophan synthases

description: TrpB2o from Arabidopsis thaliana, N.A., null
DOI: 10.22011/strenda_db.4iczmx
title: Activation of Phenylalanine Hydroxylase By Phenylalanine Does Not Require Binding in the Active Site

description: Phenylalanine-4-hydroxylase (PAH) (Phe-4-monooxygenase), P04176, L-phenylalanine + tetrahydrobiopterin + O2 = L-tyrosine + 4a-hydroxytetrahydrobiopterin
DOI: 10.22011/strenda_db.kjwiqy
title: Mechanistic Studies of the Flavoprotein Tryptophan 2-Monooxygenase  1.  Kinetic Mechanism

description: Tryptophan 2-monooxygenase, P06617, L-tryptophan + O2 = (indol-3-yl)acetamide + CO2 + H2O
DOI: 10.22011/strenda_db.lqz1c3
title: TrpB2 enzymes are o-phospho-L-serine dependent tryptophan synthases

description: TrpB2o from Thermotoga maritima, Q97TX6, null
DOI: 10.22011/strenda_db.wzov5o
title: Mechanistic Studies of the Flavoprotein Tryptophan 2-Monooxygenase  1.  Kinetic Mechanism

description: Tryptophan 2-monooxygenase, P06617, L-tryptophan + O2 = (indol-3-yl)acetamide + CO2 + H2O
DOI: 10.22011/strenda_db.y9cbqw
title: Hofmeister effects on activity and stability of alkaline phosphatase

description: Intestinal-type alkaline phosphatase (IAP) (Intestinal alkaline phosphatase), P19111, a phosphate monoester + H2O = an alcohol + phosphate
DOI: 10.21413/kuros-2013.l1.v1
title: Level 1 Products from the 2013 campaign of the airborne Ku-Band KuROS radar
title: 2013 campaign - L1 - Version 1

description: This data set contains radar observations of the ocean surface . The instrument is an airborne Ku-Band Doppler radar named "KuROS".<br>
			This instrument was designed to measure  the directional spectra of surface ocean waves , the ocean surface wind vector, and related parameters including the normalized radar cross-section profile with incidence.<br>
			This data set is relative to the Level 1 product, which contains the radar wave form (intensity and phase) versus range (with 1.5m or 5 m resolution), the normalized radar cross-section versus incidence angle and ancillary data related to the geometry and localization of observations. The data cover two ranges of incidence angles (one between 5 and 20° from nadir and the other one around 40°) and all azimuth angles. Level 2 data will correspond to ocean wave spectra estimated from the observations collected between 5° and 20°.<br>
			This data set is relative to the 2013 measurement campaign with 13 flights over the Mediterranean sea (Gulf of Lion) and 2 flights over the Iroise sea (near to the Atlantic coast of Brittany-France) in February and March 2013.
description: The Leve 1 products are obtained from the raw data  of KuROS after the following main steps: time integration over 33 ms, conversion to geophysical units, radiometric and geometric corrections to obtain the normalized radar cross-section. See Caudal et al, JAOT 2014 for more details.
description: The user is informed that for the data from the 2013 campaign , the normalized radar cross-section (sigma0)  can only be used in a relative sense (profiles versus incidence and azimuth analysed 30-s file by  30-s file). In many cases, a comparison from file to file is NOT possible because of  an incorrect  numerical random process in the transmitted pulse power when the radar mode is changed. Furthermore, a problem was detected in the rotary joint during the campaign so that it may also affect the variation of sigma0 with azimuth for some flights.<br>
			Furthermore, the user is informed that the antenna performances for this campaign were not optimal, due to the presence of a glass window in transmission and reception and of a metallic collar around the glass window . The consequences are:<br>
			- antenna pointing at 14°from nadir: a rear lobe probably impacts the Doppler measurement.<br>
			- antenna point at 40°: important antenna pattern deformation and uncertainty on sigma0 values.<br>
			<br>
			The KuROS data can be downloaded with 3 possible choices:<br>
			1) original 30-s file by 30-s file (the filename gives  the mode of radar acquisition, the date and the starting time of acquisition)<br>
			2) a compressed file (.zip) containing several 30-s files as selected by the user<br>
			3)  one or several concatenated files, which group the files with data of a same type (same flight, same antenna, same flight level, same polarisation).<br>
DOI: 10.21413/kuros-2015.l1.v1
title: Level 1 Products from the 2015 campaign of the airborne Ku-Band KuROS radar
title: 2015 campaign - L1 - Version 1

description: This data set contains radar observations of the ocean surface . The instrument is an airborne Ku-Band Doppler radar named "KuROS".<br>
			This instrument was designed to measure  the directional spectra of surface ocean waves , the ocean surface wind vector, and related parameters including the normalized radar cross-section profile with incidence.<br>
			This data set is relative to the Level 1 product, which contains the radar wave form (intensity and phase) versus range (with 1.5m or 5 m resolution), the normalized radar cross-section versus incidence angle and ancillary data related to the geometry and localization of observations. The data cover two ranges of incidence angles (one between 5 and 20° from nadir and the other one around 40°) and all azimuth angles. Level 2 data will correspond to ocean wave spectra estimated from the observations collected between 5° and 20°.<br>
			This data set is relative to the 2015 masurement campaign with 5  flights over the Iroise sea (near to the Atlantic coast of Brittany-France) in October 2015.
description: The Leve 1 products are obtained from the raw data  of KuROS after the following main steps: time integration over 33 ms, conversion to geophysical units, radiometric and geometric corrections to obtain the normalized radar cross-section. See Caudal et al, JAOT 2014 for more details.
description: The user is informed that for the data from the 2015 campaign, the full calibration of the radar is not guaranteed so that the normalized radar cross-section may need an additional global calibration.<br>
			<br>
			The KuROS data can be downloaded with 3 possible choices:<br>
			1) original 30-s file by 30-s file (the filename gives  the mode of radar acquisition, the date and the starting time of acquisition)<br>
			2) a compressed file (.zip) containing several 30-s files as selected by the user<br>
			3)  one or several concatenated files, which group the files with data of a same type (same flight, same antenna, same flight level, same polarisation).<br>
DOI: 10.21413/kuros-2013.l2.v1
title: Level 2 Products from the 2013 campaign of the airborne Ku-Band KuROS radar
title: 2013 campaign - L2 - Version 1

description: This data set contains directional spectra of surface ocean waves obtained from radar observations over the ocean surface with the airborne Ku-Band radar named "KuROS".<br>
			This data set is relative to the Level 2 product, which contains the density spectrum of wave slopes or wave heights for ocean waves between about 30 m and 300m in wavelength and for all directions of propagation between 0° and 360° (referred to the true North).
			The spectra are provided every 6° with a 180° ambiguity on the propagation direction of the waves.<br>
			This data set is relative to the 2013 measurement campaign with 13 flights over the Mediterranean sea (Gulf of Lion) and 2 flights over the Iroise sea (near to the Atlantic coast of Brittany-France) in February and March 2013.
description: The wave spectra are obtained in each azimuth direction from a spectral analysis of the relative modulations of the normalized radar cross-sections within the KuROS footprint (up to about 800 m)  and by assuming a linear relationship between the long wave slopes and the normalized radar cross-section modulations (see Jackson et al, J. Geophys. Res. 1985). The effect of speckle is minimized by using a cross-spectrum analysis between two samples separated by 66ms. Details of the processing are given in Caudal et al, JAOT 2014.
description: The files provide two-dimensional spectra as wave slope spectra (with two options: with or without symmetry of the energy density along the azimuth directions), omni-directional spectra expressed as wave height spectra, integral parameters of the spectra (wave height, peak direction, peak wavenumber), and a “modulation transfer function” coefficient estimated from the KuROS normalized radar cross-section to convert signal modulation spectra into wave spectra.
			In some cases, some energy peak in the spectra may be found at the smallest wavenumbers (higher wavelengths).
			The user of this data set may apply his own method to filter out possible non consistent energy at these small wavenumbers.
DOI: 10.21958/phenotype:271
title: Na23

description: odium concentrations in leaves
DOI: 10.21958/phenotype:273
title: P31

description: Phosphorus concentrations in leaves
DOI: 10.21958/phenotype:274
title: S34

description: Sulfur concentrations in leaves
DOI: 10.21958/phenotype:277
title: Mn55

description: Manganese concentrations in leaves
DOI: 10.21958/phenotype:280
title: Ni60

description: Nickel concentrations in leaves
DOI: 10.21958/phenotype:282
title: Zn66

description: Zinc concentrations in leaves
DOI: 10.21958/phenotype:284
title: Se82

description: Selenium concentrations in leaves
DOI: 10.21958/phenotype:285
title: Rb85

description: Rubidium concentrations in leaves
DOI: 10.21958/phenotype:286
title: Mo98

description: Molybdenum concentrations in leaves
DOI: 10.22011/strenda_db.ffzaq9
title: Structural and Enzymatic Basis for Oxamniquine Efficacy against Human Blood Fluke Parasites

description: Schistosoma hematobium SULT, N.A., null
DOI: 10.22011/strenda_db.ih7fny
title: Structural and Enzymatic Basis for Oxamniquine Efficacy against Human Blood Fluke Parasites

description: Schistosoma japonicum SULT, N.A., null
DOI: 10.22011/strenda_db.stpkkc
title: Structural and Enzymatic Basis for Oxamniquine Efficacy against Human Blood Fluke Parasites

description: Sulfotransferase (Sulfotransferase oxamniquine resistance protein), V9PWX7, null
DOI: 10.22011/strenda_db.toi0t2
title: Mechanistic Studies of an Amine Oxidase Derived from D-Amino Acid Oxidase

description: D-amino-acid oxidase (DAAO) (DAMOX) (DAO), P00371, a D-amino acid + H2O + O2 = a 2-oxo carboxylate + NH3 + H2O2
DOI: 10.21958/phenotype:269
title: Li7

description: Lithium concentrations in leaves
DOI: 10.21958/phenotype:270
title: B11

description: Boron concentrations in leaves
DOI: 10.21958/phenotype:272
title: Mg25

description: Magnesium concentrations in leaves
DOI: 10.21958/phenotype:275
title: K39

description: Potassium concentrations in leaves
DOI: 10.21958/phenotype:276
title: Ca43

description: Calcium concentrations in leaves
DOI: 10.21958/phenotype:278
title: Fe57

description: Iron concentrations in leaves
DOI: 10.21958/phenotype:279
title: Co59

description: Cobalt concentrations in leaves
DOI: 10.21958/phenotype:281
title: Cu65

description: Copper concentrations in leaves
DOI: 10.21958/phenotype:287
title: Cd111

description: Cadmium concentrations in leaves
DOI: 10.21958/phenotype:283
title: As75

description: Arsenic concentrations in leaves
DOI: 10.22011/strenda_db.dve8at
title: The RNA lariat debranching enzyme Dbr1: metal dependence and branched RNA co-crystal structures

description: RNA lariat debranching enzyme, putative, C4M1P9, null
DOI: 10.20369/aphrc-010:2003.1.06
title: NUHDSS - Amenities and Livelihoods Information for All Households
title: HH Possessions and ammenities
DOI: 10.20369/aphrc-012:2003.1.03
title: NUHDSS - Residency Table for all DSS Residents
title: Residency
DOI: 10.20369/aphrc-025:2014.1.06
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: HOUSEHOLD CHARACTERISTICS
DOI: 10.20369/aphrc-025:2014.1.07
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: HOUSEHOLD MORTALITY EXPERIENCE
DOI: 10.20369/aphrc-025:2014.1.08
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: HOUSEHOLD SCHEDULE
DOI: 10.20369/aphrc-025:2014.1.09
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: Household Weight and Height U5
DOI: 10.20369/aphrc-025:2014.1.10
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: MEN CHARACTERISTICS
DOI: 10.20369/aphrc-025:2014.1.12
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN AND MEN CHARACTERISTICS
DOI: 10.20369/aphrc-025:2014.1.13
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN BIRTH HISTORY
DOI: 10.20369/aphrc-025:2014.1.14
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN CALENDAR
DOI: 10.20369/aphrc-025:2014.1.15
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN CHARACTERISTICS
DOI: 10.20369/aphrc-025:2014.1.16
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN IMMUNIZATION
DOI: 10.20369/aphrc-025:2014.1.17
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN MATERNAL MORTALITY
DOI: 10.20369/aphrc-025:2014.1.18
title: Nairobi Cross-sectional Slums Survey (NCSS), 2012
title: WOMEN PREGNANCY
DOI: 10.25337/t7/ptycho.v2.0/ag.722862003.xml
title: Counts of Dengue without warning signs reported in ANTIGUA AND BARBUDA: 1960-2005
title: Project Tycho dataset

description: Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format.Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:- Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.- Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".
DOI: 10.5285/63c30b6310faa22e90b7e4a7adce1fa2
title: NERC Mesosphere-Stratosphere-Troposphere (MST) Radar Facility: Surface winds from the WXT510 instrument, Capel Dewi site, Wales (2007-2015)

description: Surface wind measurements are available from the Vaisala WXT510 surface meteorology instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales from 2007 to 2015. Wind speed and direction are measured by a WINDCAP (R) sensor which consists of an array of three equally-spaced ultrasonic transducers. These transducers are situated approximately 11 cm apart in a horizontal plane, leading to minimum, mean, and maximum values of speed and direction to be recorded. Data are available in netCDF formatted data files to all CEDA registered users under the UK Open Government licence.

This instrument has since been replaced by a Vaisala WXT520 surface meteorology instrument at the site.

Note - the wind data from this instrument are known to be highly constrained by the valley topography in which the instrument is sited. As such it should not be used as a representation of the broad scale wind field, but may be of interest to those wishing to study valley flows.
DOI: 10.25337/t7/ptycho.v2.0/ag.20927009.xml
title: Counts of Dengue hemorrhagic fever reported in ANTIGUA AND BARBUDA: 1999-2012
title: Project Tycho dataset

description: Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretabilty. We also formatted the data into a standard data format.Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datsets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of aquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.Depending on the intended use of a dataset, we recommend a few data processing steps before analysis:- Analyze missing data: Project Tycho datasets do not inlcude time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported.- Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exxclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".
DOI: 10.5285/d9e42c6aeaf64d4caf42926b61d89b90
title: DLR-FA20 EUFAR ICARE-QAD Flight, 2010-10-29: in situ atmospheric measurements

description: In situ atmospheric measurements using the Core instruments on the DLR Falcon20 aircraft onboard the DLR Falcon 20 E-5 aircraft for the icare-QUAD- Quality of Airborne Data (ICARE-QAD) project (flight reference: dlr-fa20_4727_20101029_icare).

Data were collected over the Toulouse, France area.