cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/ed235795f29658fad3a9ad80f3d28f88
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP T-TAYL met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP T-TAYL site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.6073/pasta/c11b4623fcb067010993f896bf38cec4
title: Jornada Basin LTER:  NPP T-TAYL meteorological station: 5-minute summary wind and air temperature
         data:  2013 - present

description: 5-minute summary data at NPP T-TAYL met station. Average air temperature, wind speed and wind
            direction are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP T-TAYL site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m.
            This climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.5281/zenodo.3265331
title: Phylogenetic structure of an Andean and Amazonian ecosystem

description: <strong>Abstract</strong>

<br>
Phylogenetic structures, the relatedness of species based on evolutionary traits, are still hardly studied. Several studies in the last three decades have been performed to examine taxonomic structures in forest and non-forest areas. Based on recent studies of phylogenetic structures in the Amazon forest, we aimed to explore the phylogenetic structure of non-forest areas in tropical South-America. We focused on mechanisms, such as environmental filtering and dispersal on the species composition and phylogenetic structure in these types of regions. We selected two of these non-forest areas, namely Guiana Shield (sandstone plateau in the Amazon) and Páramo (Andean). Vegetation and location data of both areas were analyzed. Our results suggested that these mechanisms play a crucial role in the phylogenetic structure in both regions. A significant negative correlation has been found between phylogenetic similarity and geographical (Euclidean) distance in Guiana Shield and Páramo. An NMDS-ordination showed the similarity between the different communities and substantiate the correlation found. Based on the positive values of the NRI and NTI, both regions were phylogenetically clustered. We concluded that mechanisms of environmental filtering and dispersal are important historical drivers that influence the phylogenetic structure, similarity and clustering in both these non-forest ecosystems.
description: Phylogenetic structure, phylogenetic similarity, dispersal, environmental filtering, non-forest areas, Guiana Shield, Páramo, Tropical South America
DOI: 10.5281/zenodo.3265332
title: Phylogenetic structure of an Andean and Amazonian ecosystem

description: <strong>Abstract</strong>

<br>
Phylogenetic structures, the relatedness of species based on evolutionary traits, are still hardly studied. Several studies in the last three decades have been performed to examine taxonomic structures in forest and non-forest areas. Based on recent studies of phylogenetic structures in the Amazon forest, we aimed to explore the phylogenetic structure of non-forest areas in tropical South-America. We focused on mechanisms, such as environmental filtering and dispersal on the species composition and phylogenetic structure in these types of regions. We selected two of these non-forest areas, namely Guiana Shield (sandstone plateau in the Amazon) and Páramo (Andean). Vegetation and location data of both areas were analyzed. Our results suggested that these mechanisms play a crucial role in the phylogenetic structure in both regions. A significant negative correlation has been found between phylogenetic similarity and geographical (Euclidean) distance in Guiana Shield and Páramo. An NMDS-ordination showed the similarity between the different communities and substantiate the correlation found. Based on the positive values of the NRI and NTI, both regions were phylogenetically clustered. We concluded that mechanisms of environmental filtering and dispersal are important historical drivers that influence the phylogenetic structure, similarity and clustering in both these non-forest ecosystems.
description: Phylogenetic structure, phylogenetic similarity, dispersal, environmental filtering, non-forest areas, Guiana Shield, Páramo, Tropical South America
DOI: 10.25345/c5p05m
title: MassIVE MSV000084030 - Fungal siderophores with iron-addition
title: Untargeted metabolomics from fungal cultures extracts with iron-addition.
DOI: 10.6073/pasta/31369b73fb61914ecd7bb28278c72c2b
title: Jornada Basin LTER:  NPP T-WEST meteorological station: 30-minute summary data:  2013 - present

description: 30-minute summary data at NPP T-WEST met station. Average air temperature, relative humidity, wind
            speed and wind direction are measured and calculated based on 1-second scan rate of sensors at an
            automated meteorological station installed at Jornada LTER NPP T-WEST site. Wind speed is measured
            at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative
            humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program.
            This is an ONGOING dataset.
DOI: 10.6073/pasta/342307087e319464d97a5a96000e497d
title: Jornada Basin LTER:  NPP T-WEST meteorological station: 1-second summary precipitation data:  2013
         - present

description: 1-second summary precipitation data at NPP T-WEST met station. Total precipitation per second is
            recorded only if there is measurable precipitation. This is recorded at an automated meteorological
            station installed at Jornada LTER NPP T-WEST site.. This climate station is operated by the Jornada
            LTER Program.         IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping
            bucket rain gauge. If there is missing data due to equipment or other problems, there will be no
            indication of this within this dataset. The user needs to review precipitation values in the 30
            minute or hourly summary datasets to determine if there are missing data in this 1 second detailed
            precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437030, knb-lter-jrn.210437045,
            and knb-lter-jrn.210437060 for the NPP T-WEST met station 30 minute, hourly, and daily summary
            datasets, respectively.     This is an ONGOING dataset.
DOI: 10.6073/pasta/428663ecbfc5c6f09a2ca2848025ae3f
title: Jornada Basin LTER:  NPP T-WEST meteorological station: Daily summary data:  2013 - present

description: Daily summary data at NPP T-WEST met station. Average/maximum/minimum air temperature;
            average/maximum relative humidity and wind speed and average wind direction. These are measured and
            calculated based on 1-second scan rate of sensors at an automated meteorological station installed
            at Jornada LTER NPP T-WEST site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind
            direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.17632/bwkctkk5bn.1
title: Data for: On the 3D structure of eddies in the Arabian Sea

description: These files contain the density, density anomaly and velocities (computed using geostrophic thermal wind) of composite eddies, which represent the typical 3D shape of eddies in the northeastern Arabian Sea. Data are interpolated on a (x,y,z) grid. To dimensionalize the horizontal dimensions, multiply by the radius of the eddy wanted (e.g 100 km).
DOI: 10.6073/pasta/4dc14f18a0d6d984931ee6e70ad62cd6
title: Jornada Basin LTER:  NPP T-WEST meteorological station: 5-minute summary wind and air temperature
         data:  2013 - present

description: 5-minute summary data at NPP T-WEST met station. Average air temperature, wind speed and wind
            direction are measured and calculated based on 1-second scan rate of sensors at an automated
            meteorological station installed at Jornada LTER NPP T-TAYL site. Wind speed is measured at 75 cm,
            150 cm, and 300 cm, wind direction at T-WEST 3m, and air temperature at approximate 2.5m. This
            climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset.
DOI: 10.6073/pasta/63c08fd4605fb4fd2c149239187baff1
title: Jornada Basin LTER:  NPP T-WEST meteorological station: Daily average soil volumetric water content
         data:  2013 - present

description: Daily average of 30-minute Volumetric Water Content at NPP T-WEST met station. Collection of soil
            volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental
            monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water
            dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk
            dielectric permittivity are measured and calculated at an automated meteorological station
            installed at Jornada LTER NPP T-WEST site. The daily average at 3 soil depths is calculated from
            measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm.     This is an ONGOING dataset.
DOI: 10.6073/pasta/a55b7ddbdf83b7383ab56f37f69b88e8
title: Jornada Basin LTER:  NPP T-WEST meteorological station: 30-minute soil volumetric water content
         data:  2013 - present

description: 30-minute Soil Moisture data at NPP T-WEST met station. Collection of soil volumetric water content
            data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the
            Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content,
            bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every
            30 minutes at an automated meteorological station installed at Jornada LTER NPP T-WEST site.
            Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths.     This is an
            ONGOING dataset.
DOI: 10.5281/zenodo.3265721
title: Fine litter dynamics

description: <b>Description: </b>Fine leaf litter data from litter traps in the vegetation plots across the SAFE landscape during 2011 and 2012 <b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>Fine litter dynamics</b><b>Funding: </b>These data were collected as part of research funded by: Sime Darby  (Standard grant )This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.<b>Permits: </b>These data were collected under permit from the following authorities:Sabah Biodiversity Centre (Research licence na)<b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This consists of 1 file: Litter_Collection_Data.xlsx<b>Litter_Collection_Data.xlsx</b>This file contains dataset metadata and 1 data tables:<b>Litter_Collection_Data</b> (described in worksheet Litter_Collection_Data)Description: Litter collection data 2011- 2012Number of fields: 24Number of data rows: 386Fields: <b>Location</b>: Location of little trap (Field type: Location)<b>Plot</b>: Second order point within the safe landscape  (Field type: ID)<b>Block</b>: Fragment number  (Field type: ID)<b>SurveyNum</b>: Survey number (Field type: Replicate)<b>DateSet</b>: Date trap set  (Field type: Date)<b>TimeSet</b>: Time trap set  (Field type: Time)<b>DateCollected</b>: Data trap collected  (Field type: Date)<b>TimeCollected</b>: Time trap collected  (Field type: Time)<b>SampleTime</b>: Number of days litter was accumulated  (Field type: Numeric)<b>WW.litter</b>: Total wet weight of litter  (Field type: Numeric)<b>DW.litter</b>: Total dry weight of Litter  (Field type: Numeric)<b>DW.leaves.photo</b>: Dry weight of leaves with photos (Field type: Numeric)<b>DW.leaves.other</b>: Dry weight of leaves without photos (Field type: Numeric)<b>DW.wood</b>: Wood dry weight &lt;2cm  (Field type: Numeric)<b>DW.flower</b>: Dry weight of flowers (Field type: Numeric)<b>DW.fruit</b>: Dry weight of fruit  (Field type: Numeric)<b>DW.seed</b>: Dry weight of seeds  (Field type: Numeric)<b>DW.other</b>: Dry weight of other matter (Field type: Numeric)<b>DW.wood&gt;2cm</b>: Dry weight of wood &gt;2cm (Field type: Numeric)<b>WoodDiameter1</b>: Wood diameter  (Field type: Numeric)<b>WoodDiameter2</b>: Wood diameter (Field type: Numeric)<b>WoodLength</b>: Wood length  (Field type: Numeric)<b>Herbivory</b>: Are there signs of herbivory? (Field type: Categorical)<b>PhotoFile</b>: Photo file number (Field type: Comments)<b>Date range: </b>2011-03-24 to 2012-10-05<b>Latitudinal extent: </b>4.5000 to 5.0700<b>Longitudinal extent: </b>116.7500 to 117.8200
DOI: 10.5281/zenodo.3265722
title: Fine litter dynamics

description: <b>Description: </b>Fine leaf litter data from litter traps in the vegetation plots across the SAFE landscape during 2011 and 2012 <b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>Fine litter dynamics</b><b>Funding: </b>These data were collected as part of research funded by: Sime Darby  (Standard grant )This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.<b>Permits: </b>These data were collected under permit from the following authorities:Sabah Biodiversity Centre (Research licence na)<b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This consists of 1 file: Litter_Collection_Data.xlsx<b>Litter_Collection_Data.xlsx</b>This file contains dataset metadata and 1 data tables:<b>Litter_Collection_Data</b> (described in worksheet Litter_Collection_Data)Description: Litter collection data 2011- 2012Number of fields: 24Number of data rows: 386Fields: <b>Location</b>: Location of little trap (Field type: Location)<b>Plot</b>: Second order point within the safe landscape  (Field type: ID)<b>Block</b>: Fragment number  (Field type: ID)<b>SurveyNum</b>: Survey number (Field type: Replicate)<b>DateSet</b>: Date trap set  (Field type: Date)<b>TimeSet</b>: Time trap set  (Field type: Time)<b>DateCollected</b>: Data trap collected  (Field type: Date)<b>TimeCollected</b>: Time trap collected  (Field type: Time)<b>SampleTime</b>: Number of days litter was accumulated  (Field type: Numeric)<b>WW.litter</b>: Total wet weight of litter  (Field type: Numeric)<b>DW.litter</b>: Total dry weight of Litter  (Field type: Numeric)<b>DW.leaves.photo</b>: Dry weight of leaves with photos (Field type: Numeric)<b>DW.leaves.other</b>: Dry weight of leaves without photos (Field type: Numeric)<b>DW.wood</b>: Wood dry weight &lt;2cm  (Field type: Numeric)<b>DW.flower</b>: Dry weight of flowers (Field type: Numeric)<b>DW.fruit</b>: Dry weight of fruit  (Field type: Numeric)<b>DW.seed</b>: Dry weight of seeds  (Field type: Numeric)<b>DW.other</b>: Dry weight of other matter (Field type: Numeric)<b>DW.wood&gt;2cm</b>: Dry weight of wood &gt;2cm (Field type: Numeric)<b>WoodDiameter1</b>: Wood diameter  (Field type: Numeric)<b>WoodDiameter2</b>: Wood diameter (Field type: Numeric)<b>WoodLength</b>: Wood length  (Field type: Numeric)<b>Herbivory</b>: Are there signs of herbivory? (Field type: Categorical)<b>PhotoFile</b>: Photo file number (Field type: Comments)<b>Date range: </b>2011-03-24 to 2012-10-05<b>Latitudinal extent: </b>4.5000 to 5.0700<b>Longitudinal extent: </b>116.7500 to 117.8200
DOI: 10.17632/shgcr5j45c.1
title: Data for: Characterization of Complex Permittivity for Consolidated Core Samples by Utilization of Mixing Rules

description: All figures that appear in the manuscript. Mixing rules were implemented to predict the dielectric behavior of consolidated core samples saturated with heavy oil. The estimation was then compared to the experimentally measured response.
DOI: 10.5281/zenodo.3265455
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst

Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html

dates and times are UTC.
DOI: 10.21227/gbcm-9129
title: Dataset for Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem

description: Our multimedia files contain the general results for all of our experiments.Furthermore, we provide files containing the general characteristics of our test system as well as the scenarios used in our experiments.
DOI: 10.21227/wgga-n019
title: Dataset for Asynchronous Level Decomposition with Application to the Stochastic Hydrothermal Unit-Commitment Problem

description: Our multimedia files contain the general results for all of our experiments.Furthermore, we provide files containing the general characteristics of our test system as well as the scenarios used in our experiments.
DOI: 10.25345/c5bm0t
title: MassIVE MSV000084043 - pseudonocardia_grouping_illumina_localminimum
title: Samples extracted with AtOAc from monocultures of Pseudonocardia symbionts of Attin ants (Genera Trachymyrmex)
DOI: 10.25345/c56s8b
title: MassIVE MSV000084044 - Efficient utilization of plant polymers supports adaptation of bacteria to survive in bulk soil
title: Exoproteomics of Hopland soil isolates. Metabolic trait to efficiently utilize plant polymers provides the energy-expensive microbial adaptation to survive in low carbon availability soil.
DOI: 10.25919/5d1aacce05463
title: Parkes observations for project P574 semester 2019APRS_02

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The primary science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on 75 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.25919/5d1aad03c6a28
title: Parkes observations for project P1013 semester 2019APRS_01

description: The paucity of known intermittent pulsars makes individual studies valuable from the perspective of understanding how these pulsars emit and how that emission is changing in time and as a function of frequency. The inherent difficulty in detecting these objects implies that their small population may well simply be a sampling bias, thus studying individual examples in details is fundamentally important in developing a complete understanding of the Galactic population. The Ultra-Wide-Band receiver and the MEDUSA backend provide unprecedented frequency coverage and will allow us to study the emission of the intermittent pulsar J1107-5907 in great detail. In particular, we will focus on the spectral characteristics of the emission, the frequency dependence of emission rates and the time scales on which the emission state switching occurs. By constraining the intermittency time scales we will be able to comment on model predictions, while the spectral index analysis will provide insights into the emission mechanism itself.
DOI: 10.5281/zenodo.3254743
title: Meta-analysis summary-level results of histology GWAS -- combined, subcutaneous

description: MarkerName -- name of the SNP Allele1 -- first allele Allele2 -- second allele Freq1 -- frequency of Allele1 FreqSE -- standard error of the freq estimate MinFreq -- lower confidence bound of the freq estimate MaxFreq -- upper confidence bound of the freq estimate Weight -- sample size weight Zscore -- z-score of the SNP P-value -- p-value of the SNP Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file HetISq -- I-squared estimate for heterogeneity test HetChiSq -- Chi-Square estimate for heterogeneity test HetDf -- degrees of freedom for heterogeneity test HetPVal -- p-value for heterogeneity test
DOI: 10.5281/zenodo.3254744
title: Meta-analysis summary-level results of histology GWAS -- combined, subcutaneous

description: MarkerName -- name of the SNP Allele1 -- first allele Allele2 -- second allele Freq1 -- frequency of Allele1 FreqSE -- standard error of the freq estimate MinFreq -- lower confidence bound of the freq estimate MaxFreq -- upper confidence bound of the freq estimate Weight -- sample size weight Zscore -- z-score of the SNP P-value -- p-value of the SNP Direction -- directions of the betas in the cohorts, in the order the cohorts are listed in the corresponding *.metalParams.txt file HetISq -- I-squared estimate for heterogeneity test HetChiSq -- Chi-Square estimate for heterogeneity test HetDf -- degrees of freedom for heterogeneity test HetPVal -- p-value for heterogeneity test
DOI: 10.25345/c5336r
title: MassIVE MSV000084045 - Bsub-SNfractions-dataset-IIN_2019
title: Methanolic fractions of supernatants of cultures of B. subtilis wild strains. Raw dataset and feature finding project for IIN protocol, July 2019.
DOI: 10.24378/exe.1563
title: Road verges are pollinator hotspots in agricultural landscapes, but are diminished by heavy traffic and summer verge cutting (dataset)

description: Flower and pollinator communities were surveyed in 2018, using transect counts and pan traps, to explore the role of road verges and their associated hedges in supporting pollinators in an agricultural landscape in southwest England, and the impacts of traffic and verge cutting. At 19 sites, the road verge (verge edge and verge centre), the verge hedge (both sides), a field hedge, and the field interior were surveyed.
description: Dataset includes 2 files: flower and insect counts for transects and pan traps
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/41083