cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rw9kuy
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.24_1, CHN.24.1_1, CHN.24.1.10_1)",
 "Month is one of (July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Paradoxornis heudei David, 1872, Lonchura striata (Linnaeus, 1766), Lonchura punctulata (Linnaeus, 1758), Passer montanus (Linnaeus, 1758), Copsychus saularis (Linnaeus, 1758), Turdus mandarinus Bonaparte, 1850, Gracupica nigricollis (Paykull, 1807), Spodiopsar cineraceus (Temminck, 1835), Spodiopsar sericeus (Gmelin, 1789), Acridotheres cristatellus (Linnaeus, 1758), Zosterops simplex Swinhoe, 1861, Suthora webbiana Gould, 1852, Prinia inornata Sykes, 1832, Horornis fortipes Hodgson, 1845, Pycnonotus sinensis (Gmelin, 1789), Parus minor Temminck & Schlegel, 1848, Pica serica Gould, 1845, Cyanopica cyanus (Pallas, 1776), Lanius schach Linnaeus, 1758, Alcedo atthis (Linnaeus, 1758), Upupa epops Linnaeus, 1758, Accipiter soloensis (Horsfield, 1821), Accipiter trivirgatus (Temminck, 1824), Ardea cinerea Linnaeus, 1758, Ardea intermedia Wagler, 1829, Bubulcus coromandus (Boddaert, 1783), Ardeola bacchus (Bonaparte, 1855), Tachybaptus ruficollis (Pallas, 1764), Amaurornis phoenicurus (Pennant, 1769), Spilopelia chinensis (Scopoli, 1786), Streptopelia orientalis (Latham, 1790), Phasianus colchicus Linnaeus, 1758)",
 "Year is one of (2005, 2010, 2015, 2020, 2024)"
 ]
}

 The dataset includes 756 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019672-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49qwng
title: Occurrence Download

description: A dataset containing 644 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Carpocoris pudicus S & L",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 644 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019673-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13943986
title: Daily observed, modelled, and infilled river flows for an Irish hydrometric reference network of river flow stations

description: Here we present a dataset of observed, modelled, and infilled daily river flow data relating to the newly updated Irish Hydrometric Reference Network (IHRN) of high-quality gauging stations located across the Republic of Ireland. Internationally applied selection criteria, analysis of historical observations and flow gauge metadata, stakeholder feedback, and trend assessments aided in the identification of the network’s 51 stations. A combination of the GR4J conceptual hydrological model and a backpropagation neural network driven by catchment specific precipitation and temperature extracted from gridded datasets was used to model flows that subsequently infilled gaps in the observational record for each of the series (from commencement of each station’s record till the end of 2022). Also included are the 2.5 and 97.5 quantile values for each station’s modelled data, which represent the upper and lower uncertainty bounds of the respective ensemble flows derived during the flow generation process. As well as providing a useful means for evaluating the impact of changing climatic conditions on Irish catchments, the IHRN data offers utility for assessing catchment based impacts for flow extremes, and the generation of both historical reconstructions and future climate projections for a range of flow regimes across the island of Ireland.
DOI: 10.15468/dl.a2jpv9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx isabellinus (Blyth, 1847)"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019674-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/d3j8-xf73
title: A comparison of two major methods to design alarm deadbands for IID process variables

description: Deadbands are embedded functions of transducers frequently exploited to remove false alarms. In existing literature, there are two major methods to design alarm deadbands, either based on the estimated probability density function (PDF) of process variables or the estimated PDF of maximum amplitude deviations (MADs). The former method only applies to independently and identically distributed (IID) process variables, while the latter method does not have this restriction. A natural question is: which method should be used for IID process variables? The objective of this paper is to compare the two major methods to design alarm deadbands for IID process variables. In particular, two technical problems are addressed for the comparison. First, theoretical values of false alarm ratios (FARs) for both methods are derived. Second, confidence intervals of FARs for both methods are obtained. Based on these results, it is concluded that the former method performs better when data samples are limited, whereas the two methods are with similar performance when data samples are sufficient. Numerical and industrial examples are provided to support and illustrate the obtained results and conclusion.
DOI: 10.15468/dl.98547d
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Strobilanthes kunthiana (Wall. ex Nees) T.Anderson ex Benth."
 ]
}

 The dataset includes 80 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019676-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c6ese
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptobrachella aerea (Rowley, Stuart, Richards, Phimmachak & Sivongxay, 2010)"
 ]
}

 The dataset includes 55 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019678-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh2kqg
title: Occurrence Download

description: A dataset containing 2852 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Carpocoris purpureipennis (DeGeer, 1773)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 2852 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019675-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1791
title: Systematic review: Efficacy of exogenous enzymes for dairy calves.
DOI: 10.15468/dl.pj9gv3
title: Occurrence Download

description: A dataset containing 20462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 20462 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019679-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b54ks6
title: Occurrence Download

description: A dataset containing 20462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 20462 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019677-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdm7vt
title: Occurrence Download

description: A dataset containing 11093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Syzygium cumini (L.) Skeels"
 ]
}

 The dataset includes 11093 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019680-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbbkyg
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Catoplatus carthusianus (Goeze, 1778)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 67 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019681-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9648536
title: e-IPO Indonesia Data - Investment
DOI: 10.17188/1206948
title: Materials Data on HfO2 by Materials Project

description: HfO2 is Baddeleyite structured and crystallizes in the monoclinic P2_1/c space group. The structure is three-dimensional. Hf4+ is bonded to seven O2- atoms to form a mixture of distorted corner and edge-sharing HfO7 pentagonal bipyramids. There are a spread of Hf–O bond distances ranging from 2.05–2.26 Å. There are two inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted trigonal non-coplanar geometry to three equivalent Hf4+ atoms. In the second O2- site, O2- is bonded to four equivalent Hf4+ atoms to form a mixture of distorted corner and edge-sharing OHf4 tetrahedra.
DOI: 10.3886/e187521v1
title: Data and Code for: Fiscal and Monetary Policy Interactions in a Model with Low Interest Rates

description: We provide a dynamic new Keynesian model in which entrepreneurs face uninsurable idiosyncratic investment risk and credit constraints. Government bonds provide liquidity services and raise net worth. Multiple steady states with positive values of public debt can be supported for a given permanent deficit-to-output ratio. The steady-state interest rates are lower than the economic growth rate and public debt contains a bubble component. We analyze the determinacy regions of policy parameter space and find that a large set of monetary and fiscal policy parameters can achieve debt and inflation stability given persistent fiscal deficits both away from and at the zero interest rate lower bound.
DOI: 10.3886/icpsr36573.v1
title: Organizations Convicted in Federal Criminal Courts, 2015
title: Version 1

description: These data, collected to assist in the development of sentencing guidelines, describe offense and sentencing characteristics for organizations sentenced in federal district courts in 2015. The United States Sentencing Commission's primary function is to inform federal courts of sentencing policies and practices that include guidelines prescribing the appropriate form and severity of punishment for offenders convicted of federal crimes. Court-related variables include primary offense type, pecuniary offense loss and gain, dates of disposition and sentencing, method of determination of guilt, number of counts pled and charged, and dates and types of sentencing and restitution. Defendant organization variables include ownership structure, number of owners and employees, highest level of corporate knowledge of the criminal offense, highest level of corporate indictment and conviction for participation in the criminal offense, annual revenue, equity and financial status, whether it was a criminal organization, duration of criminal activity, and risk to national security. Organizational defendants data, 2015, covers fiscal year October 1, 2014, through September 30, 2015.
description: Datasets: DS1: Organizations Convicted in Federal Criminal Courts, 2015
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2014 and September 30, 2015 and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS under a new study number for each year of data. Data for the years 1987-1998 are archived in ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS, 1987-1998: [UNITED STATES] (ICPSR 9513).
DOI: 10.5067/gfl20-mc062
title: GRACE-FO Level-2 Monthly Geopotential Spherical Harmonics CSR Release 6.2 (RL06.2)
DOI: 10.5281/zenodo.10058450
title: Geomorphic expressions of active rifting reflect the role of structural inheritance: A new model for the evolution of the Shanxi Rift, North China

description: A geopackage and associated raster files for the geomorphic indices that were used in this study. Can be opened with the freely available QGIS software
DOI: 10.5281/zenodo.12600447
title: Data from "Constraints on the gas-phase C/O ratio of DR Tau's outer disk from CS, SO, and C2H observations"

description: Data associated with Huang et al., 2024, "Constraints on the gas-phase C/O ratio of DR Tau's outer disk from CS, SO, and C2H observations," ApJ, 973, 135. 

The raw data can be obtained by requesting data from program W21BE (PI: J. Huang) from the NOEMA archive. 

Images

images.tar: FITS files of image cubes and moment maps

Measurement sets (CASA format)

drtau_LINENAME_corrected.ms.tar: Measurement set for a given line, corresponding to drtau_LINENAME_selfcal-contsub.uvt in lines_contsub_uvt.tar

drtau_ui_cont_corrected.ms.tar: Continuum measurement set corresponding to the UI baseband, generated from w21be-ui-cont-selfcal.uvt in continuum_uvt.tar 

UV tables (GILDAS format)

LR_uvt.tar: Pipeline-calibrated UV tables of low-resolution data (see w21be-tables-LR.clic)

HR_uvt.tar: Pipeline-calibrated UV tables of high-resolution data (see w21be-tables_HR.clic)

continuum_uvt.tar: Self-calibrated, spectrally averaged continuum UV tables generated from LR_uvt.tar

lines_contsub_uvt.tar: Self-calibrated, continuum-subtracted line UV tables generated from the UV tables in HR_uvt.tar

Scripts

w21be-tables-LR.clic: CLIC script used to output UV tables of low-resolution data from the pipeline-calibrated data (output contained in LR_uvt.tar)

w21be-tables_HR.clic: CLIC script used to output UV tables of high-resolution data from the pipeline-calibrated data (output contained in HR_uvt.tar)

finalimaging.py: Script used to generate images in images.tar 

linestacking.py: Script used to create stacked C2H image 

Other

calib.tar: Files output by NOEMA pipeline
DOI: 10.5281/zenodo.13373280
title: BepiColombo magnetic field data (MPO-MAG) from the two Venus flybys

description:  

Vector magnetic field data from the first two Venus flybys (highres and 1-sec res).

*Data will be properly archived on ESA's PSA, once the data has been finalized and/or cleaned*

Reference frame: VSO

Trajectory information is also included. 
description: Data used in paper by Edberg et al., submitted to JGR - Space Physics: "Extent of the magnetotail of Venus from the Solar Orbiter, Parker Solar Probe and BepiColombo flybys", 2024
DOI: 10.5281/zenodo.4417810
title: 30 m annual land cover and its dynamics in China from 1990 to 2019

description: Using 335,709 Landsat images on the Google Earth Engine, we built the first Landsat-derived annual land cover product of China (CLCD) from 1985 to 2019. We collected the training samples by combining stable samples extracted from China's Land-Use/Cover Datasets (CLUD), and visually-interpreted samples from satellite time-series data, Google Earth and Google Map. Several temporal metrics were constructed via all available Landsat data and fed to the random forest classifier to obtain classification results. A post-processing method incorporating spatial-temporal filtering and logical reasoning was further proposed to improve the spatial-temporal consistency of CLCD.
DOI: 10.5281/zenodo.4968738
title: SoMeSci - Software Mentions in Science

description: "SoMeSci - Software Mentions in Science" is a gold standard knowledge graph of software mentions in scholarly articles created by manual annotation. The annotated articles are also available from https://github.com/dave-s477/SoMeSci/
DOI: 10.5281/zenodo.6939820
title: Codes and dataset of the publication "Effectiveness of Sentinel-1 and Sentinel-2 for Flood Detection Assessment in Europe"

description: The folder contains the codes, input and output of the analysis carried out for supporting the publication of the paper: Tarpanelli A., Mondini A., Camici S.:Effectiveness of Sentinel-1 and Sentinel-2 for Flood Detection Assessment in Europe, Natural Hazards and Earth System Sciences, https://doi.org/10.5194/nhess-2022-63, 2022. The codes should be run in order A1-A7 to generate all the figures of the paper. For details please send an email to: angelica.tarpanelli@irpi.cnr.it
DOI: 10.5281/zenodo.7456324
title: Digital Elevation Models of Hunga Volcano; pre- and post- 15 January 2022 eruption

description: This dataset contains digital elevation models (DEM) of the Hunga Volcano complex. The first is a pre-2022 eruption elevation model. The second is a post-2022 eruption elevation model.
Hunga Volcano is a volcanic complex near the island of Tongatapu in the Kingdom of Tonga. The volcano rises from ~2,500 m depth, a caldera at its summit, and two islands, Hunga Tonga and Hunga-Ha'apai, at the on the rim of the caldera. An eruption during December 2014-January 2015 was centered between the islands and combined them into one larger structure named Hunga Tonga – Hunga Ha'apai (HTHH).  HTHH erupted violently on 15th January 2022, sending large clouds of ash into the atmosphere, triggering a tsunami, and reducing the size of the islands of Hunga Tonga and Hunga Ha'apai.
As a result of this event, the NIWA-Nippon Foundation Tonga Eruption Seabed Mapping Project (TESMaP) is a multidisciplinary research plan involving geological, oceanographic and biological studies that centered around three objectives:

To determine the impacts of volcanic ash on ocean productivity, species composition, and biogeochemical cycling in the water column.
To determine the immediate nature and extent of the impact of ash fall/turbidity flows on deep-sea sediments and benthic ecosystems.
To determine the recovery potential of the deep-sea ecosystem.
This project involved two survey voyages of the volcano and its surrounding waters. The first was carried out from RV Tangaroa in April and May 2022 (Mackay et al., 2022) and the second was carried out by the USV Maxlimer in August 2022.
TESMaP was funded from a combination of sources including The Nippon Foundation, Japan; the Natural Environmental Research Council, UK, Japan Agency for Marine Earth Science and Technology, the Tangaroa Reference Group (TRG) for ship time and the NIWA Oceans Centre. Support was given by The Nippon Foundation Seabed 2030 project and by GEBCO Alumni.
DOI: 10.5281/zenodo.7639973
title: Effect of Vertical Shear in the Zonal Wind on Equatorial Electrojet Sidebands: An Observational Perspective Using Swarm and ICON Data

description: This data set consists of outputs from the EEJ model by Richmond (1973). The data provided is used in the manuscript titled 'Effect of Vertical Shear in the Zonal Wind on Equatorial Electrojet Sidebands: An Observational Perspective Using Swarm and ICON Data' by J. Sreelakshmi et al.

Abstract of the manuscript:

The wind dynamo in the ionosphere leads to differential motion of ions and electrons, which in turn sets up electric fields and currents. Observations show that daytime lower thermospheric horizontal winds have large vertical gradients. Numerical modelling conducted approximately 50 years ago demonstrated that the zonal wind shears in the ~130-180km altitude range can generate off-equatorial relative minima (dips) in the daytime height-integrated eastward current density, appearing as westward sidebands north and south of the equatorial electrojet (EEJ). This study observationally confirms this connection for the first time by combining Ionospheric CONnection explorer zonal wind profiles and Swarm latitudinal zonal currents. We demonstrate observationally that the magnitude of the EEJ sideband current is proportional to the strength of westward turning winds with altitude in the Pedersen conductivity dominated region. Additional numerical experiments explain the importance of wind shear in different altitude regions in generating the sideband current. This study contributes to the better understanding of the neutral wind effect on local current generation.
DOI: 10.5281/zenodo.8159227
title: Food consumption and adherence to dietary guidelines among Jordanian children and adolescents

description: supplementary Data 1
DOI: 10.5281/zenodo.8159261
title: Food consumption and adherence to dietary guidelines among Jordanian children and adolescents

description: study questionnaire JPFCS 2023; data collection survey including tow sheets for 24-hours recall
DOI: 10.5281/zenodo.8240928
title: Food consumption and adherence to dietary guidelines among Jordanian children and adolescents

description: study questionnaire JPFCS 2023; data collection survey including tow sheets for 24-hours recall
DOI: 10.5285/7a8d0936ba1e4e1a8689c9e9010b43b2
title: Ground-based greenhouse gas column concentrations from Jinja, Uganda, January to April 2020

description: These data comprise remotely sensed column concentrations of greenhouse gases over Jinja, Uganda, covering the period spanning January to April 2020. A Bruker EM27/SUN spectrometer and solar tracker were used to make the measurements, which were then processed into column concentrations of carbon dioxide, methane, and carbon monoxide using the PROFFAST retrieval code developed through the COllaborative Carbon Column Observing Network (COCCON) programme at the Karlsruhe Institute of Technology. The data were collected to provide a source of validation for satellite data products, and for outputs from atmospheric chemistry and transport models. The data were collected and processed by Neil Humpage at the University of Leicester, in collaboration with William Okello at the National Fisheries Resources Research Institute who provided the measurement site.
DOI: 10.15141/s50t0r
title: Penn World Table 9.1
DOI: 10.21985/n2-jze7-xw88
title: HIV, Inflammation, and Initiation of Methamphetamine Use in Sexual and Gender Minorities Assigned Male at Birth