cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48443/ka55-2852
title: Soil physical and chemical properties, distributed initial characterization (DP1.10047.001)
title: RELEASE-2023

description: This data product contains quality-controlled, native sampling resolution taxonomic, physical, and chemical data from soils measured during the course of an initial soil characterization effort at each NEON site. This effort was executed by the Soil Science Division of the Natural Resources Conservation Service (NRCS), in partnership with the USDA Agriculture Research Service (ARS). For additional details, see the user guide listed in the Documentation section below. Queries for this data product will return field collection metadata, soil taxonomy, bulk density, particle size distribution, and a host of geochemical measurements on a per horizon basis, along with a summary table of external lab detection limits and accuracy in the expanded package. Associated with these data are soil pedon descriptions and narrative summary documents, which place the plot-level data into site-level context. These documents can be found in the [NEON Document Library](http://data.neonscience.org/documents), in the folder Soil Characterization Summaries > Distributed plots. Additional soil material collected during this effort is archived and [available upon request](https://www.neonscience.org/samples/soil-archive).

Latency:
Data were collected once, at the establishment of each site. Data were published within one year of collection, and future collections at existing sites are not expected.
description: At each site, up to 4 Tower and 30 Distributed plots were sampled, with number of plots determined by NRCS based on site variability and number of soil map units present. In most Distributed base plots, a single 1 m x 1 m x 1 m soil pit was excavated. In Tower plots and sites where pit sampling is not permitted, several 10 cm diameter, 1 m deep cores were collected from within a 1 m x 1 m square (where possible). Upon excavating a pit or collecting cores, NRCS described the profile and all major horizons, assessed coarse fragment volumes, collected bulk density samples (most often by the clod method), then collected enough material to conduct all physical and geochemical laboratory analyses. Field sampling and descriptions followed the methods outlined in the NRCS Field Book for Describing and Sampling Soils, version 3.0. Laboratory analyses were conducted at the Kellogg Soil Survey Laboratory in Lincoln, Nebraska following the standard operating procedures outlined in the Soil Survey Laboratory Methods Manual, Report No. 42, Version 5, 2014. Some horizons do not have bulk density measurements - this includes plots and sites where cores were taken instead of pits and horizons where the bulk density sample was destroyed, lost, or of poor quality. Instrumentation:
DOI: 10.5067/6c6wa3r918hj
title: Pre-IceBridge ATM L2 Icessn Elevation, Slope, and Roughness, Version 1
DOI: 10.5067/aura/mls/data2011
title: MLS/Aura L2 Hydrogen Cyanide (HCN) Mixing Ratio - Version 4
DOI: 10.5067/aura/mls/data2013
title: MLS/Aura L2 Hydroperoxy (HO2) Mixing Ratio - Version 4
DOI: 10.5067/aura/mls/data2018
title: MLS/Aura L2 Hydroxyl (OH) Mixing Ratio - Version 4
DOI: 10.5067/eyv1ip7munsv
title: MEaSURES Greenland Ice Velocity: Selected Glacier Site Velocity Maps from Optical Images, Version 1
DOI: 10.5067/lis/lis-otd/data311
title: LIS/OTD Gridded Lightning Climatology Data Collection Version 2.3.2015
DOI: 10.5067/temsc-olcr5
title: Mascon Ocean and Hydrology Equivalent Water Heights JPL RL05M.1 CRI Filtered
DOI: 10.5067/terra/mopitt/data301
title: MOPITT Gridded Monthly CO Retrievals (Near and Thermal Infrared Radiances) HDF File- Version 6
DOI: 10.5067/u8c09dwvx9lm
title: Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Version 1
DOI: 10.5067/x5lg68mh013o
title: Bootstrap Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS, Version 4
DOI: 10.5281/zenodo.1041746
title: Lakesst: Lake Skin Surface Temperatures In French Inland Water Bodies

description: The data set LakeSST contains skin surface temperature data for 442 French water bodies for the period 1999-2016 obtained from archives of Landsat 5 and Landsat 7 thermal infrared images. The overall accuracy of the satellite-derived temperature measurements is about 1.5 ºC, similar to other applications of satellite images to estimate freshwater surface temperatures. The spatial and temporal coverage of the data set makes it an ideal resource for studies on the long term evolution of lake surface temperatures and for geographical studies of temperature patterns.
description: Read the 00_Read_me.txt for details.
The creation of this data set was funded by the French National Office for Water and Aquatic Environments (now part of the French Agency for Biodiversity).
DOI: 10.5281/zenodo.11278072
title: On the effect of precession for magnetic differential phase contrast imaging

description: 4D-STEM datasets and processing scripts used for the journal publication "On the effect of precession for magnetic differential phase contrast imaging".

DOI link to publication: 10.1016/j.micron.2024.103761

 

Prerequisites

The scripts presented below were created using open-source Python packages with specific versions:



hyperspy 1.7.1

pyxem 0.14.2

fpd 0.2.5 (with scikit-image 0.18)

jupyterlab 4.0.7


There is no guarantee that other versions of the listed packages will run the code.

Data files

In total five zipped (.7z extension) files are included in this repository. The files contain data from the different samples studied with different precession electron diffraction calibrations where applicable. The three samples studied are LSMO, and the corresponding 4D-STEM datasets taken away from a high-symmetry zone axis (LSMO_LZ_data.7z) and on the zone axis (LSMO_HZ_data.7z), FeAl sample (FeAl_data.7z), and scans from an Au TEM alignment grid (AuGrid_data.7z). The precession_azimuths.7z files contains the precession azimuthal circles from the three precession calibrations performed.

Processing scripts

Three scripts are included in the IPython notebook format (.ipynb extension). The Precession_azimuth_plot.ipynb script plots the precession azimuth for comparison. The Segmentation_script.ipynb is used to process the precession path segmented 4D-STEM datasets, and the DPC_processing.ipynb includes code to perform center of mass and phase correlation processing on the 4D-STEM data to extract differential phase contrast signals.
DOI: 10.5281/zenodo.13380604
title: Extended Hubbard Model with spin-valley polarization  DMRG solution

description: The data set for containing observables obtained by means of Density Matrix Renormalization Group for the Extended Hubbard model at filling n=2/3 and with spin-valley polarization included in the single-particle term. For all the considered case the on-site Hubbard repulsion U is set to 15|t| and |t| = 1. The phase for hopping termi is 2*pi/3.

Folders naming convention is following:

VXYZ

V stands for intersite interaction and XYZ is its magnitude.

 

In each folder there are following files:

- n_single

columns: i  j Re_up Im_up Re_dn Im_dn

Where: i,j are site indicies Re(Im)_up(dn) stand for the real(imaginary)  part of single particle equal-time Green function for up(dn) spin

- nn

columns: i  j  Re_up Im_up Re_dn Im_dn Re_(up+dn) Im_(up+dn)

Where: i,j are site indicies Re(Im)_up(dn) stand for the real(imaginary)  part of two particle equal-time Green function <n_i,up(dn) n_j,up(dn)> for up(dn) spin and two last columns correspond to <(n_i,up+n_i,dn)(n_j,up+n_j,dn)>

- ss

columns: i  j  Re  Im

Where: i,j are site indicies Re(Im) stand for the real(imaginary)  part of two particle equal-time Green function <S_i S_j> where S_i is total spin operator on site "i"

- szsz

columns: i  j  Re  Im

Where: i,j are site indicies Re(Im) stand for the real(imaginary)  part of two particle equal-time Green function <S_z S_z> where S_z is z-th component of  spin operator on site "i"

- spsm

columns: i  j  Re  Im Re Im

Where: i,j are site indicies Re(Im) stand for the real(imaginary)  part of two particle equal-time Green function <S_i^(+)S_j^(-)> and <S_i^(-)S_j^(+)> where S_i^(+/-) are spin ladder operators
DOI: 10.5281/zenodo.14213842
title: Source data of the MultiSTAAR manuscript "A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies".

description: This dataset serves as the source data for Figures 2-3 and Extended Data Figures 1-2 of the MultiSTAAR manuscript titled "A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies". MultiSTAAR is a statistical framework and computationally-scalable analytical pipeline for functionally-informed multi-trait rare variant analysis in large-scale WGS studies.Figure 2. Manhattan plots and Q-Q plots for unconditional gene-centric coding, noncoding and ncRNA multi-trait analysis of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerids (TG) using TOPMed data (n = 61,838).Figure 3. TOPMed genetic region (2-kb sliding window) unconditional multi-trait analysis results of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) using TOPMed data (n = 61,838).Extended Data Figure 1. Manhattan plots and Q-Q plots for unconditional gene-centric coding, noncoding and genetic region (2-kb sliding window) multi-trait analysis of fasting glucose (FG) and fasting insulin (FI) using TOPMed data (n = 21,731).Extended Data Figure 2. Manhattan plots and Q-Q plots for unconditional gene-centric coding, noncoding and genetic region (2-kb sliding window) multi-trait analysis of C-reactive protein (CRP), interleukin 6 (IL-6), lipoprotein-associated phospholipase A2 (Lp-PLA2) activity, and lipoprotein-associated phospholipase A2 (Lp-PLA2) mass using TOPMed data (n = 9,380).
DOI: 10.5281/zenodo.7577127
title: CORE: Gene Expression-Cancer Knowledge Base

description: This repository contains the Gene Expression-Cancer Knowledge Base generated by the CORE system.<br> The 'schema.owl' file contains the KB schema, whereas the 'data.ttl' file contains the actual data.
DOI: 10.5676/eum_saf_cm/msg_aod/v001
title: CM SAF Aerosol Optical Depth (AOD) Data Record - Edition 1

description: This CM SAF climate data record provides daily and monthly estimates of the Aerosol Optical Depth (AOD) derived from the Spinning Enhance Visible and InfraRed
     Imager (SEVIRI) sensors onboard the Meteosat Second Generation (MSG) satellites.
     Aerosols have many impacts on the climate on our planet: direct through the scattering and absorption of radiation, and also indirectly through
     the cloud nucleation and precipitation processes. Concerning the direct effect, the most relevant parameters are the AOD and, to a lesser extent,
     the single scattering albedo. In the frame of climate monitoring, the continuous monitoring of those parameters is of prime importance to
     understand climate variability and change. Monitoring aerosols is also important as they have in general an adverse effect on the retrieval of
     many climate geophysical parameters as, for instance, the surface albedo.
     The Land Daily Aerosol (LDA) algorithm is used to process this Climate Data Record of AOD. The algorithm has been developed at
     EUMETSAT for AOD estimation, primarily for the MSG/SEVIRI instrument. The algorithm performs, on a daily basis and at full pixel scale, the
     inversion of the accumulated solar band observations (0.6μm, 0.8μm and 1.6μm) to estimate simultaneously the AOD (a single value
     at reference wavelength of 550nm) and the 4 Rahman-Pinty-Verstraete (RPV) parameters of the surface in the 3 bands. The algorithm performs
     therefore an optimization on 13 unknowns (the AOD + 3 x 4 RPV parameters). In addition, the optimization is also done over a set of different
     models of aerosol microphysics (single scattering albedo, phase function).
     The CM SAF CLAAS-2 cloud mask (DOI:10.5676/EUM_SAF_CM/CLAAS/V002) is used as additional input to perform the cloud screening.
     The climate data record covers the period from 1 Feb 2004 to 31 Dec 2012 (Meteosat-8 and -9).
DOI: 10.6073/pasta/ac8b05bb0da19032b3df3efc21f83874
title: Widespread deoxygenation of temperate lakes: companion dataset 1980 - 2017

description: Lake surface temperatures are steadily increasing. DO responds to temperature through multiple mechanisms, suggesting that DO in lakes should be responding to changing water temperatures. To determine whether and how DO is changing in temperate lakes, we collected and analyzed 22,983 temperature and dissolved oxygen profiles from approximately 400 mostly temperate zone lakes. Here, we present resulting derived statistics from this analysis. These statistics include mean summer epilimnetic temperature and DO, hypolimnetic temperature and DO, Secchi depth, chlorophyll a, as well as select meteorological variables such as mean summer air temperature and wind speed.
DOI: 10.6084/m9.figshare.5346484
title: Elmes et al. (NHESS) Data.zip

description: The following compressed folder contains all collected data (with metadata) for Elmes et al. (submitted to NHESS).
DOI: 10.7265/n5930r3z
title: SCICEX: Submarine Arctic Science Program
DOI: 10.7267/n900001k
title: Willamette Water 2100 Forest Elevational Snow Transect (ForEST) Project
DOI: 10.7267/zk51vq07c
title: Fish Schooling Data Subset
title: 	 A subset of 5000 frames of fish schooling data from "Inferring the structure and dynamics of interactions in schooling fish" by Katz et al.

description: The data is a JSON format file containing the position, velocity, and fish identifier data for 300 golden shiners in a shallow water tank. There are 5000 individual frames (samples of position and velocity) corresponding to video taken at a rate of 30 frames/s and analysed to extract individual fish’s trajectories. The fields px, py, vx, vy correspond to the x- and y-components of each detected fish’s position and velocity. The onfish field gives each fish in the frame a  unique identifier. When an individual can no longer be distinguished, its identifier is retired; once the fish is again being tracked it is assigned a new ID. This data is a subsample of the frames acquired by the creators in the study https://doi.org/10.1073/pnas.1107583108, refer to it and its supplementary information for more details.
DOI: 10.14281/18241.8
title: World Values Survey Wave 6 (2010-2014)
title: WVS Wave Wave 6 (2010-2014)

description: The World Values Survey (WVS) is an international research program devoted to the scientific and academic study of social, political, economic, religious and cultural values of people in the world. The project’s goal is to assess which impact values stability or change over time has on the social, political and economic development of countries and societies. The project grew out of the European Values Study and was started in 1981 by its Founder and first President (1981-2013) Professor Ronald Inglehart from the University of Michigan (USA) and his team, and since then has been operating in more than 120 world societies. The main research instrument of the project is a representative comparative social survey which is conducted globally every 5 years. Extensive geographical and thematic scope, free availability of survey data and project findings for broad public turned the WVS into one of the most authoritative and widely-used cross-national surveys in the social sciences. At the moment, WVS is the largest non-commercial cross-national empirical time-series investigation of human beliefs and values ever executed. 
description: World Values Survey
description: Interview
description: Mode of collection: mixed mode
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Face-to-face interview: PAPI (Paper and Pencil Interview)
Self-administered questionnaire: CAWI (Computer-Assisted Web Interview)
Self-administered questionnaire: Paper
description: The target population is defined as: individuals aged 18 (16/17 is acceptable in the countries with such voting age) or older (with no upper age limit), regardless of their nationality, citizenship or language, that have been residing in the [country] within private households for the past 6 months prior to the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection).
description: The sampling procedures differ from country to country; probability Sample: Multistage Sample Probability Sample, Simple Random Sample. Representative single stage or multi-stage sampling of the adult population of the country 18 (16) years old and older was used for the WVS 2010-2014. Sample size was set as effective sample size of minimum 1000 respondents or more. Countries with great population size and diversity are requirred to reach an effective sample of N=1200 or larger.
DOI: 10.15468/dl.99qrcs
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dematophora necatrix R.Hartig"
 ]
}

 The dataset includes 329 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032440-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.884617
title: Modelled firn air content and 10 m firn temperature for the Greenland ice sheet (1960-2016) in NetCDF format

description: The firn density, temperature and liquid water content of the Greenland ice sheet have been modelled with the IMAU-FDM firn model. IMAU-FDM is forced at the surface with the latest output of the regional climate model RACMO2.3p2. The data is on a horizontal grid of 11x11 km and covers 1960-2016 with a 10-day temporal resolution.Here, time series of the firn air content (vertically integrated difference between firn and ice density (= 917 kg m-3)) and 10-m firn temperature are provided. All other IMAU-FDM output is available from the authors without conditions.
DOI: 10.25375/uct.27240642.v1
title: ITPC (2023) Citizen Science Survey Data on Community-Led Monitoring Feedback Mechanisms

description: <b>Background:</b> There is growing consensus that community-led monitoring (CLM) data is an essential component of wider HIV program quality improvement and accountability. Yet, little is known about how CLM data are discussed and used. To optimize the use of CLM data for decision-making, a better understanding CLM feedback mechanisms is needed.<b>Methods: </b>The Citizen Science project (November 2020-present) conducts CLM of HIV services at 33 health facilities in Malawi and South Africa. From March-August 2023, an operational research initiative sought to understand how the CLM data is fed back to key actors. An online survey was administered among 188 stakeholders, the majority of whom were recipients of care (33%),<b> </b>healthcare workers (29%), and CLM data collectors (27%). Face-to-face interviews with 118 similar stakeholders provided further nuance and depth.<b>Results: </b>CLM data is shared though at least 25 different feedback mechanisms. More than half (54%) of respondents said CLM feedback happens in real time, during data collection. At the health facility, CLM data is regularly discussed during formal meetings, but nearly a quarter (24%) said it also comes up in casual conversation. More than half (52%) of healthcare workers discuss CLM data at least once a week, compared to 39% of other stakeholders. CLM data sharing usually occurs when project team members call a meeting, however, 36% of respondents said health facilities also request CLM data. Community leadership is critical, since 36% of stakeholders said they remember CLM data better if people living with HIV present it to them, and 19% if key populations do. Stakeholders are more likely to act on CLM data if there is consensus on the findings, there are agreed action points, and the District Health Management Team is involved.<b>Conclusions:</b> CLM data use may improved if protocols for informal feedback mechanisms are developed, affected communities lead, and solutions are co-created.
DOI: 10.34740/kaggle/dsv/10690820
title: Women Cancer Statistic in Iran 2022
DOI: 10.5281/zenodo.14835942
title: Data for "Entangling two Rydberg Superatoms via Heralded Storage"

description: This dataset is for the research article "Entangling two Rydberg Superatoms via Heralded Storage"
DOI: 10.5281/zenodo.14835943
title: Data for "Entangling two Rydberg Superatoms via Heralded Storage"

description: This dataset is for the research article "Entangling two Rydberg Superatoms via Heralded Storage"
DOI: 10.15468/dl.4kv4zk
title: Occurrence Download

description: A dataset containing 891231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae"
 ]
}

 The dataset includes 891231 records from 1433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020602-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17218746
title: Magic-zl/Inversion-and-cluster-results-of-seismic-data: Inversion Results of P- and S-Wave Velocities along Survey Lines of the Yilan Crater and Their Clustered Profiles

description: No description provided.
DOI: 10.5281/zenodo.17218747
title: Magic-zl/Inversion-and-cluster-results-of-seismic-data: Inversion Results of P- and S-Wave Velocities along Survey Lines of the Yilan Crater and Their Clustered Profiles

description: No description provided.
DOI: 10.15468/dl.gggq64
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tithymaloides",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026278-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyhnfn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tithymaloides",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026280-250920141307145/datasets/export for details.
DOI: 10.15468/dl.w6reas
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia tithymaloides",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026279-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p2qju
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coix lacryma-jobi",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 274 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026281-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.