cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5827653.v1
title: Coordinates of knots used for geoadditive modelling in Switzerland

description: Coordinates of 100 knots, regularly spaced across Switzerland. These knots are used to compute geoadditive models in the following publication: Guélat J., Kéry M. 2018. Methods in Ecology and Evolution<br>
DOI: 10.5439/1027736
title: ARM: MPL: 30-second cloud mask using the first Z. Wang, et al algorithm

description: MPL: 30-second cloud mask using the first Z. Wang, et al algorithm
DOI: 10.6073/pasta/51814fa39f87aea44629a5be8602ec49
title: Lizard pitfall trap data from 11 NPP study locations at the Jornada Basin LTER site, 1989-2006

description: This data package contains data on lizards sampled by pitfall traps located at 11 consumer plots at Jornada Basin LTER site from 1989-2006. The objective of this study is to observe how shifts in vegetation resulting from desertification processes in the Chihuahaun desert have changed the spatial and temporal availability of resources for consumers. Desertification changes in the Jornada Basin include changes from grass to shrub dominated communities and major soil changes. If grassland systems respond to rainfall without significant lags, but shrub systems do not, then consumer species should reflect these differences. In addition, shifts from grassland to shrubland results in greater structural heterogeneity of the habitats. We hypothesized that consumer populations, diversity, and densities of some consumers will be higher in grasslands than in shrublands and will be related to the NPP of the sites. Lizards were captured in pitfall traps at the 11 LTER II/III consumer plots (a subset of NPP plots) quarterly for 2 weeks per quarter. Variables measured include species, sex, recapture status, snout-vent length, total length, weight, and whether tail is broken or whole. This study is complete.
DOI: 10.6073/pasta/bec6c029df692768f349106c69162df7
title: Mangrove Forest Growth from the Shark River Slough, Everglades National Park (FCE), South Florida from January 1995 to Present

description: All mangrove trees having a diameter at breast high (DBH) greater than 2.5 cm were tagged in two 20 x 20 m plot in stations SRS4-6 and TS/Ph-8. Measurements in PLot Num1 began in 1995; measurements in Plot Num 2 began in 2001. Plot Num1 in TS/Ph-8 was established in 2001. DBH has been measured in the period 1995-2004. Mangrove species include Rhizophora mangle, Laguncularia racemosa, Avicennia germinans, Conacarpus erectus.
DOI: 10.6073/pasta/e37ed29111b2fddffc08355252b8b8c7
title: SBC LTER: Reef: Kelp Forest Community Dynamics: Fish abundance

description: These data describe the abundance and size of fish species as part of SBCLTER's kelp forest monitoring program to track long-term patterns in species abundance and diversity. This study began in 2000 in the Santa Barbara Channel, California, USA, and the dataset is updated periodically throughout the year. The abundance and size of all taxa of resident kelp forest fish encountered along permanent transects are recorded at nine reef sites located along the mainland coast of the Santa Barbara Channel and at two sites on the north side of Santa Cruz Island. These sites reflect several oceanographic regimes in the channel and vary in distance from sources of terrestrial runoff. In these surveys, fish were counted in either a 40x2m benthic quadrat, or in the water parcel 0-2m off the bottom over the same area.
DOI: 10.6084/m9.figshare.6127877.v1
title: MEECertain2017_SI3_SimExp.tar.gz

description: This is Supporting Information SI3 for the Paper entitled <br>"How do MAR(1) models cope with hidden nonlinearities in<br>ecological dynamics?" to be published in Methods in Ecology and Evolution, Authored by G. Certain, F. Barraquand and A. Gårdmark. <br><br>See SI3_readme.pdf for more information. <br>
DOI: 10.7265/n5ff3qj6
title: Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 1
DOI: 10.5439/1150252
title: ARM: Parsivel2 Laser Disdrometer

description: Parsivel2 Laser Disdrometer
DOI: 10.5281/zenodo.8333738
title: xyz coordinates of the reactants for proton penetration

description: xyz coordinates of the reactants and transition states for v proton penetration through hexagonal and octagonal carbon rings in vacuum environment and aqueous solution.
DOI: 10.6073/pasta/4abe86a2c00dc9a628924aa149d7bf34
title: LAGOS-NE Annual, seasonal, and monthly climate data for lakes and watersheds in a 17-state region of the U.S.

description: These data describe climate at different temporal scales and can easily be integrated into analyses using limnological and geospatial data in the LAGOS-NE database. This includes 1) monthly, seasonal and annual PRISM temperature and precipitation data at the hydrologic unit code-12 (HUC-12) watershed scale, 2) monthly, seasonal and annual Palmer Hydrological Drought Index (PHDI) data for all lakes over 4ha in LAGOS-NE by lagoslakeid (unique lake identifier), and 3) 30-year averages (1981-2010) of monthly, seasonal and annual PRISM temperature and precipitation data at the HUC-12 watershed scale linked to all lakes over 4ha in LAGOS-NE by lagoslakeid.
DOI: 10.6084/m9.figshare.949678
title: Gaussian Job Archive for C8H19BO

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.949689
title: Gaussian Job Archive for C8H19BO

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.17632/zck24s5wdf.2
title: Data for "On solving bi-objective constrained minimum spanning tree problems"

description: Results, test instances, and instances generator for the paper https://doi.org/10.1007/s10898-023-01295-8
DOI: 10.5281/zenodo.1465082
title: Characteristics Of Summer Season Raindrop Size Distribution In Western Pacific (Data Source)

description: Datailed information on the data sets used in our manuscript are provided, along with the main code in data process.
DOI: 10.5281/zenodo.8038377
title: TM-Vec training data

description: Protein/Domain pairs and corresponding TM-scores used for training TM-Vec models Training data for TM-Vec models used in: “TM-Vec: template modeling vectors for fast homology detection and alignment” by Hamamsy et al. Preprint: https://www.biorxiv.org/content/10.1101/2022.07.25.501437v1
DOI: 10.5281/zenodo.8333737
title: xyz coordinates of the reactants for proton penetration

description: xyz coordinates of the reactants and transition states for v proton penetration through hexagonal and octagonal carbon rings in vacuum environment and aqueous solution.
DOI: 10.6073/pasta/669823a9c848c979d2888912a56678c3
title: Meteorology Data at the Sevilleta National Wildlife Refuge, New Mexico, (1987- )
DOI: 10.13020/ac71-bp06
title:  Passive and active tracking data of several fish species movement around Lock and Dam 2 and Lock and Dam 8 (2016 to 2018) 

description: This data set has 2 main components:
First we investigated the movement of several fish species around and across a Mississippi River lock and dam: Lock and Dam 2. Approximately 200 fish were tagged and released below this structure and were tracked to determine both whether and when they passed through this structure, using an array of passive receiver. Additionally, some of these fish were actively tracked (acoustic and radio) below the spillway gates of lock and dam 2 to investigate their movements and approach behaviors.

Second, we investigated the efficiency of a sound barrier installed on the downstream side of the lock chamber of Lock and Dam 8. 160 common carp were tagged and released below a Mississippi River lock and dam (Lock and Dam 8) and tracked using a passive receiver array. This experiment was designed to determine whether fish were entering the lock chamber with the sound barrier on or off.
Locks and dams are challenging environments for tracking technology (e.g. difficulty to detect tags in high turbulent water) and we advise to contact the authors or read publication/report associated with this data set for more details about technological limitations.
description: Please read README.txt files associated with either lock and dam 2 or 8.
DOI: 10.26180/5d0b0b4f5192d
title: Yarra Latrobe Catchment C-Q study

description: Geochemical variations with streamflow in headwater streams of the Yarra and Latrobe catchments, southeast Australia<br>
DOI: 10.5281/zenodo.7060095
title: Data for "Identification of Karst Spring Hydrographs Using Laboratory and Numerical Simulations Considering Combined Discrete-Continuum Approaches"

description: This is the dataset for "Identification of Karst Spring Hydrographs Using Laboratory and Numerical Simulations Considering Combined Discrete-Continuum Approaches”.
DOI: 10.3334/cdiac/otg.cfc_atm_hist_2014
title: Updated (2014) Atmospheric CFC-11, CFC-12, CFC-113, CC14 and SF6 Histories.
DOI: 10.15131/shef.data.7077386.v1
title: Transverse Dispersion in Vegetation across a Shear-layer 2016: Artificial, Carex, Typha

description: The data describes transverse concentrations of a neutrally buoyant solute across a shear layer in water past two measurement locations within a partially vegetated channel with emergent vegetation. It also describes accompanying transverse profiles of longitudinal velocity. Measurements were conducted in five types of vegetation, low-density artificial vegetation, high-density artificial vegetation, Carex Acutiformis, winter Typha Latifolia, and summer Typha Latifolia.<br>This data set is suitable for estimating transverse dispersion across a shear-layer. It accompanies the journal article submission entitled "A CFD-based mixing model for vegetated flows".
DOI: 10.5281/zenodo.1292461
title: Body length trait values from the BETSI database, on all Collembola species, all literature sources, requested on 01-06-2017

description: <strong>This table gathers 'Body length' trait values extracted from the BETSI database, on all Collembola species, all literature sources, on 01/06/2017 (DD/MM/YYYY).</strong><br>
<br>
The BETSI database hosts soil invertebrates trait data.<br>
The BETSI database is available here: http://betsi.cesab.org<br>
The BETSI database is regularly updated. Please follow the link and contact its administrators if you want to obtain the most up-to-date data ; or contact the dataset's author if you need information on how to use the present dataset.

<br>
<strong>Information in this table</strong><br>
<em>BETSI coder</em>: First name and family name of the person that provided the trait value and uploaded it into the BETSI database<br>
<em>Collembola species</em>: Collembola species name, taxonomy according to Fauna Europaea<br>
<em>Body length value</em>: Trait value, in mm<br>
<em>Literature source</em>: Literature source in which the trait value was collected by the BETSI coder<br>
<br>
This dataset was created, used, and shared with the approval of all concerned BETSI coders (data collectors) and administrators (data managers).

 

<strong>If you aim to re-use this dataset:</strong><br>
<br>
- please cite <strong>Bonfanti et al. (2018) <em>Functional ecology </em></strong>https://doi.org/10.1111/1365-2435.13194, study for which this dataset was originally requested and compiled ;<br>
- please give appropriate credit to the concerned BETSI coders and administrators, BETSI database project, and to the authors of the literature sources mentioned in the dataset.
DOI: 10.5281/zenodo.3877377
title: ChemCam data and corrected Li data

description: Supplementary data for JGR manuscript "Boron and Lithium in Calcium Sulfate Veins: Tracking Precipitation of Diagenetic Materials in Vera Rubin Ridge, Gale Crater". Excel files contain all LIBS data collected by the Curiosity rover between sol 1-2311 and corrected Li data for vein targets.
DOI: 10.5439/1025313
title: ARM: Vaisala Ceilometer (VCEIL): cloud base heights, 25,000 feet max range

description: Vaisala Ceilometer (VCEIL): cloud base heights, 25,000 feet max range
DOI: 10.5439/1027756
title: ARM: Merged analog and photon counting profiles used as input for other RLPROF VAPs

description: Merged analog and photon counting profiles used as input for other RLPROF VAPs
DOI: 10.5439/1052058
title: ARM  KAZR-ARSCL Value Added Product

description: The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.
DOI: 10.5441/002/edbt.2016.01
title: Advances in Database Technology — EDBT 2016 (Frontmatter)
DOI: 10.6084/m9.figshare.24024765.v1
title: Complex evolutionary history of photosynthesis in <i>Bradyrhizobium</i>

description: Supplementary material for 'Complex evolutionary history of photosynthesis in <i>Bradyrhizobium</i>', as described in Microbial Genomics.Supplementary material contains 33 supplementary figures and 4 supplementary tables. Supplementary Figure S1 is a comparison of the photosynthesis gene cluster (PGC) identified in <i>Bradyrhizobium </i>and close relatives; Supplementary Figure S2 includes a comparison of the genes flanking the PGC in <i>Bradyrhizobium </i>and closerelatives; Supplementary Figure S3 is a maximum-likelihood phylogeny of <i>Bradyrhizobium </i>genus; Supplementary Figures S4.1-4.29 are individual phylogenies of photosynthesis genes and Supplementary Figure S5 is an ancestral state reconstruction of the PGC in <i>Bradyrhizobium</i>. Supplementary Table S1 includes the genome information of strains investigated in this study; Supplementary Table S2 contains the gene functions of photosynthesis genes; Supplementary Table S3 focuses on the gene functions of flanking genes and lastly Supplementary Table S4 which is an excel table containing the posterior probability values from the ancestral reconstruction phylogeny which corresponds to the Supplemenatary Figure S5.
DOI: 10.6084/m9.figshare.3206962
title: AHYST.Lena: The Lena River Hydrology and Statistics

description: This dataset contains mean annual and extreme flow data, compiled for the Lena River basin, Northern Eurasia. Current version: 1.2 (12 August 2019). Data origin: digitized official Hydrological Yearbooks, Soviet (Russian) Hydrometeorological Service (1925-2007); online data, Russian Federal Water Resources Agency (2008-2017). Distributed under CC0 license.<br>This dataset should be cited as:<b>AHYST.Lena (2019) Arctic Hydrology and Statistics for the Lena River basin. Compilative dataset on mean annual and extreme flows in the Lena River basin (compiled by Makarieva O., Tananaev N., </b><b>Lebedeva L.</b><b>), figshare, version 1.2 (12 August 2019), doi: 10.6084/m9.figshare.3206962</b><br><br>
DOI: 10.6084/m9.figshare.802815
title: Gaussian Job Archive for F2S2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.804332
title: Gaussian Job Archive for F2S2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.805048
title: Gaussian Job Archive for F2S2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.848613
title: Gaussian Job Archive for C5H10O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.861029
title: Gaussian Job Archive for CsF3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.861030
title: Gaussian Job Archive for CsF3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.861038
title: Gaussian Job Archive for CsF3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.861047
title: Gaussian Job Archive for CsF3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.936657
title: Gaussian Job Archive for C17H15N

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.18128/d080.v4.1
title: IPUMS-Demographic and Health Surveys: Version 4.1

description: The IPUMS-DHS project harmonizes Demographic and Health Surveys (DHS) data and documentation for Africa, the Middle East and Asia to facilitate comparative research across time and countries. The DHS are the main source of information on health in low- and middle-income countries. IPUMS-DHS is designed to facilitate analysis of DHS data across time and space. IPUMS-DHS adds value to the original DHS samples in the following ways: variables are coded consistently across countries and over time; web-based search and discovery tools display variable availability across surveys; documentation is organized on a cross-survey, variable-specific basis; and researchers can merge files and create customized datasets using a web dissemination system, at no cost. The current version of IPUMS-DHS includes data on women respondents, their children under age 5, and their births.
DOI: 10.5285/35e6cc3ca2314dcd8d627d85e6c01d46
title: Model data of sulphate aerosols, aerosol size distribution and radiative fluxes produced using different values of cloud-water pH

description: This dataset contains model output data on sulphate aerosols, aerosol size distributions and radiative fluxes produced from experiments that used different values of cloud-water pH. The composition-climate model HadGEM3-UKCA was run over the period 1970 to 2009 to investigate the effect of temporal changes in cloud-water pH on sulphate aerosol formation and the subsequent impact on climate. HadGEM3-UKCA is the climate model configuration of the Met Office Unified Model (UM). Vn7.3 of the UM was used in this study and included a branch to the CLOMAP-Mode aerosol scheme. Model simulations were conducted at a global resolution of 1.875° x 1.25°.
DOI: 10.6084/m9.figshare.848560
title: Gaussian Job Archive for C5H10O

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.936551
title: Gaussian Job Archive for C17H15N

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.34740/kaggle/dsv/6450834
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6450835
title: OnlineFree
DOI: 10.34740/kaggle/dsv/6450840
title: Health Workforce Shortage Areas
DOI: 10.5281/zenodo.8303111
title: Ultrafast dark-field X-ray microscopy to image strain wave propagation

description: This dataset includes DF-XRM data obtained at an X-FEL source.<br> The sample is a diamond single crystal with a strain wave propagating through the center, which is imaged in a stroboscopic fashion.<br> This data originated the LCLS, see arXiv:2211.01042 for a description of the experiment.<br> Run 538 contains a time series with 1 ns between each step, run 540 contains a time series with 72 ns steps (one full period) while run 536 contains a rocking curve. Each run is divided into hdf5 files with 2000 shots each. Each hdf5 file has then been zipped using the BZIP2 algorithm to reduce the overall size. Each run contains header information with the status of the X-FEL beam and the laser (the laser excites the strain wave). The shots where the X-FEL beam is off should be used to subtract the detector background. Run 536 additionally contains motor positions for the goniometer. Please note: for run 538 and 540 there are ~120 shots at each position. However, the timing tool is unreliable, giving a ±1 ns error, and to analyze this data the correct time of each shot must be first identified. This can be done by looking at the position of the strain wave.<br> <br> Using python, the data may be unziped, opened, and visualized in the following way: <pre><code class="language-python">import zipfile import numpy as np import h5py #unzip with zipfile.ZipFile(f'538_0.zip', 'r') as zip_ref: zip_ref.extractall('') with h5py.File(f'538_0.hdf5', 'r') as f: # print contents of file for key in f.keys(): print(key, f[key].shape, f[key].dtype) # approximate the detector background mask = np.array(f[b'lightStatus_xray']) == 0 Images_DF_Xray_OFF = np.array(f['images_dark_field_arm'][mask,:,:]) df_noise = np.median(Images_DF_Xray_OFF, axis = 0) # extract desired frames ims = np.array(f['images_dark_field_arm'][120*1:120*2]) im = np.average(ims, axis = 0) # plot the detector background and the average of the selected frames import matplotlib.pyplot as plt fig, axes = plt.subplots(1,2, figsize = (4, 12), dpi = 300) axes[0].imshow(df_noise, vmin = np.percentile(df_noise,1), vmax = np.percentile(df_noise,99)) axes[1].imshow(im-df_noise, vmin = np.percentile(im-df_noise,1), vmax = np.percentile(im-df_noise,99))</code></pre>
description: Financial support was provided by the Villum FONDEN (grant no. 00028346) and the ESS lighthouse on hard materials in 3D, SOLID, funded by the Danish Agency for Science and Higher Education (grant number 8144-00002B). Moreover, H.F.P. and H.S. acknowledges support from the European Research Council (Advanced grant no 885022 and Starting grant no 804665, respectively). We further acknowledge that this work was performed in part under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. Initial contributions from LEDM were also funded by the support of the Lawrence Fellowship at LLNL. TMR acknowledges funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 899987.