cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/gfz.1.3.2021.004
title: GFZ/ITSG Level-3 Products Terrestrial Water Storage Anomalies

description: GRACE/GRACE-FO Level-3 product based on GFZ RL06 Level-2B products (Dahle & Murböck, 2019) and ITSG-Grace2018/ITSG-Grace_operational VDK3 filtered (citation) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format. The files each contain two different variables: 1) 'tws': gravity-based TWS 2) 'std_tws': gravity-based TWS uncertainties This data set is basis of Boergens and Kvas (2021) and have been used in Boergens et al. (2021) to produce regional time series and their uncertainties, which can be reproduced with the code provided by Boergens (2021).
DOI: 10.5880/itsg.gravis_2018_l2b
title: ITSG-Grace2018/ ITSG-Grace_operational Level-L2B Products Filtered Stokes coefficients

description: Filtered GRACE/GRACE-FO spherical harmonic coefficients of ITSG-Grace2018/ITSG-Grace_operational Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. The spherical harmonic coefficients are filtered with VDK3 filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)). The filtered spherical harmonic coefficients are accompanied by their variance-covariance matrices which are gained via variance propagation from the variance-covariance matrices of the unfiltered coefficients. This data set is basis of Boergens and Kvas (2021) and have been used in Boergens et al. (2021) to produce regional time series and their uncertainties, which can be reproduced with the code provided by Boergens (2021).
DOI: 10.5880/gfz.1.3.2021.003
title: Surface displacement, self-attraction and loading and M2 ocean tide fields in view of anelastic solid Earth models

description: As a supplement to Huang et al. (2021) “Anelasticity and lateral heterogeneities in Earth’s upper mantle: impact on surface displacements, self-attraction and loading and ocean tide dynamics”, the global amplitude and root-mean-square fields of surface vertical displacement and self-attraction and loading due to ocean tide loading - the M2 tide derived from model TiME (Sulzbach et al., 2021), and the root-mean-square fields of M2 tide are presented here. The fields have been calculated for the 1D elastic solid Earth model PREM and 3D and 1D anelastic models. Figures 4-7, S1 and S2, and tables 1-2 in Huang et al. (2021) can be easily reproduced from these data fields applying the calculus discussed in the paper. The anelastic Earth models can be constructed with the methodology outlined in Huang et al. (2021) by making use of the elastic and attenuation tomography models from the University of California, Berkeley (Karaoğlu, H. & Romanowicz, B., 2018) and the École Normale Supérieure (ENS) de Lyon (Debayle et al., 2020), respectively. All response fields (U and SAL) are calculated with the spectral-finite element method (Martinec 2000, Tanaka et al. 2019).
description: The response field - vertical displacement (U) and self-attraction and loading (SAL). The global amplitude and root-mean-square fields of U and SAL are given on a grid of 0.25°x 0.25° for the ucb (short for the University of California, Berkeley) and lyon (short for the École Normale Supérieure (ENS) de Lyon) models, respectively. The tidal forcing - ocean tide model TiME is based on the elastic Earth model PREM and is published in Sulzbach et al. (2021, https://doi.org/10.1029/2020JC017097). The data is provided in https://doi.org/10.5880/GFZ.1.3.2021.001. Here only the root-mean-square fields of M2 tide between the 1D anelastic model and PREM, and those between the 3D and 1D anelastic model are provided. For details see the README.md in the repository.
DOI: 10.5880/isg.2021.004
title: The Ethiopian gravimetric geoid: ETH-GM21

description: The ETH-GM21 model is a gravimetric geoid of 2'x2' spatial resolution developed over Ethiopia. This model has been computed using terrestrial and airborne gravity data together with the EIGEN-6C4 GGM and the SRTM3 digital elevation model. The ETH-GM21 model has been determined by using the remove-compute-restore procedure and the least-squares collocation method, obtaining geoid undulations referred to WGS84. With the use of geometric geoid heights obtained from 46 GNSS/levelling data distributed over Ethiopia, the accuracy of the ETH-GM21 gravimetric geoid model has been estimated to ±13 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
description: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
DOI: 10.5880/fidgeo.2021.020
title: CT data, PIV analysis results and surface view videos of analogue models of interacting crustal and mantle weaknesses during rifting

description: This data set includes videos depicting the surface evolution (time laps photographs and Particle Image Velocimetry or PIV analsys) of 15 analogue models on rift tectonics, as well as 4D CT imagery (figures and videos) from four of these experiments. The experiments examined the influence of differently oriented mantle and crustal weaknesses on rift system development using a brittle-viscous set-up. All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). Detailed descriptions of the experiments and monitoring techniques can be found in Zwaan et al. (2021).
DOI: 10.5880/gfz.2.6.2019.002
title: EMCA Seismic exposure model for Tajikistan

description: Multi-resolution exposure model for seismic risk assessment in Tajikistan. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2020) "Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications", Earthquake Spectra (submitted). The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of geo-cells covering the territory of Tajikistan (provided as a separate file). The model integrates around 1'000 building observations (see related dataset Pittore et al. 2019a). The following specific modelling parameters have been employed: Prior strength=10, 100 Epsilon=0.001 For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km. The data package contains three components: 1) exposure models in .csv 2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine 3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
DOI: 10.5880/gfz.2.6.2019.003
title: EMCA Seismic exposure model for the Kyrgyz Republic

description: Multi-resolution exposure model for seismic risk assessment in the Kyrgyz Republic. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2019) "Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of 1'175 geo-cells covering the territory of the Kyrgyz Republic. The model integrates around 6'000 building observations (see related dataset Pittore et al. 2019). The following specific modelling parameters have been employed: Two exposure models are provided, with prior strength pw 10 and 100. Both models have epsilon=0.001 (see publication indicated in the metadata for details on the modelling process). For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km. The data package contains three components: 1) exposure models in .csv 2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine 3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
DOI: 10.5880/gfz.2.6.2019.005
title: EMCA Seismic exposure model for Uzbekistan

description: Multi-resolution exposure model for seismic risk assessment in Uzbekistan. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2019) "Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of geo-cells covering the territory of Uzbekistan (provided as a separate file). The model prior is based on empirical observations in Kyrgyzstan and Tajikistan as well as user-elicited knowledge. The following specific modelling parameters have been employed: Two exposure models are provided, with prior strength pw 10 and 100. Both models have epsilon=0.001 (see publication indicated in the metadata for details on the modelling process). For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km. The data package contains three components: 1) exposure models in .csv 2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine 3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
DOI: 10.5880/gfz.2.6.2019.004
title: EMCA Seismic exposure model for Turkmenistan

description: Multi-resolution exposure model for seismic risk assessment in Turkmenistan. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2019) "Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of geo-cells covering the territory of Turkmenistan (provided as a separate file). The model prior is based on user-elicited knowledge. The following specific modelling parameters have been employed: Two exposure models are provided, with prior strength pw 10 and 100. Both models have epsilon=0.001 (see publication indicated in the metadata for details on the modelling process) For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km. The data package contains three components: 1) exposure models in .csv 2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine 3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
DOI: 10.5880/gfz.2.6.2019.001
title: EMCA Seismic exposure model for Kazakhstan

description: Multi-resolution exposure model for seismic risk assessment in Kazakhstan. The model has been developed according to the methodology outlined in Pittore, Haas and Silva (2019) "Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications", Earthquake Spectra. The model is aggregated over a Central Voronoidal Tessellation (CVT) composed of geo-cells covering the territory of Kazakhstan (provided as a separate file). The model prior is based on user-elicited knowledge. The following specific modelling parameters have been employed: Two exposure models are provided, with prior strength pw 10 and 100. Both models have epsilon=0.001 (see publication indicated in the metadata for details on the modelling process). For each geo-cell the model includes the expected number of buildings , total occupancy and replacement cost for each of the 15 building types defined in the EMCA taxonomy (see Pittore et al, 2019b), plus the buildings that are belonging to other, non specified typologies (described by building type OTH). Each geo-cell also includes the area of the geo-cell itself in squared km. The data package contains three components: 1) exposure models in .csv 2) exposure models in .xml - the file is encoded in NRML 0.5 format and is compatible with the GEM openquake processing engine 3) shapefile of the tessellation that aggregates the exposure model. The field "cell_id" is the linkage with the exposure models
DOI: 10.5880/gfz.2.6.2019.007
title: Earthquake Model Central Asia: seismic exposure modelling

description: The datasets in this collection include input and output components of the seismic exposure model developed within the framework of the Earthquake Model Central Asia and used for seismic risk assessment. In particular the collection includes: - A dataset of around 7’000 individual building observations in Kyrgyzstan and Tajikistan collected using the Remote Rapid Visual Survey (RRVS) methodology developed at GFZ, along with the class schema used to map the individual taxonomic observations into vulnerability-related building classes. These are used to develop suitable prior distribution and to constrain locally the resulting exposure models - The seismic exposure models for the following central Asian countries: Kazakhstan , Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan, aggregated over a set of heterogeneous tessellations (geo-cells) The methodology employed for the development of the exposure models is described in Pittore, M., Haas, M., and Silva, V. (2020) “Multi-resolution Probabilistic Modelling of Residential Exposure and Vulnerability for Seismic Risk Applications”, Earthquake Spectra. Two versions of the models obtained with two different parameter settings are included. The models are provided in .csv and in .xml (nrml 0.5) format, for compatiliby with the OpenQuake hazard and risk assessment engine.
DOI: 10.15468/dl.ru5d03
title: Occurrence Download

description: A dataset containing 280443 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Vespertilionidae"
 ]
}

 The dataset includes 280443 records from 263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001032-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.24474535
title: Complete list of Product Design Strategies and Tools for Awareness, Cohesion, and Equity

description: The attached document comprises a list of strategies of the ten sustainability philosophies linked to product design. These strategies contribute to the dimensions and sub-dimensions of sustainability awareness (A), social cohesion (C), and social equity (E). The purpose of this study is to showcase how firms can create impacts beyond environmental and economic sustainability. A complete sustainable transition requires strategies that cover the three pillars and these three aspects ACE are essential for this transition.
DOI: 10.15468/dl.78qb4f
title: Occurrence Download

description: A dataset containing 9067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapirus terrestris (Linnaeus, 1758)"
 ]
}

 The dataset includes 9067 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0410123-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2a2hb
title: Occurrence Download

description: A dataset listing the 3446 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON ((151.7257701045485 -27.003737843741654, 151.70573799028904 -26.999791163627236, 151.70126883511207 -26.990825977398263, 151.67011075879904 -26.97583752037713, 151.65356828196286 -26.935107897039497, 151.62622360538293 -26.95214004102006, 151.61533150264165 -26.936028701146476, 151.59608956763614 -26.935718794167602, 151.59306679873154 -26.91679575069156, 151.57730585496057 -26.91680928773197, 151.568286772472 -26.906281009375594, 151.55000606177157 -26.921561332564316, 151.53937441669896 -26.914599358354533, 151.54411757915284 -26.89411780090253, 151.56316181430316 -26.87962350083893, 151.55067971926258 -26.857920163881513, 151.53316257154438 -26.86098797011929, 151.53993592520644 -26.852651608820693, 151.52432765900014 -26.84570309807967, 151.53490086313104 -26.830234096170116, 151.5164674530147 -26.82510923935536, 151.5248127525192 -26.817159173222038, 151.50877788580328 -26.785462088252224, 151.5170333390226 -26.77321807338918, 151.50398530741248 -26.75789726495312, 151.51660217487412 -26.735461861751613, 151.51584311842248 -26.710313505494536, 151.53195441303708 -26.682555569615072, 151.55032493251258 -26.680157069407915, 151.55139392929863 -26.70259251838016, 151.56990367907176 -26.691094080004643, 151.57527565429916 -26.705031433922535, 151.59356983204162 -26.69974933965398, 151.59851056774917 -26.68362005559925, 151.58732654966192 -26.674003592866885, 151.59450210375863 -26.66064970382841, 150.92009247996643 -26.660339907252723, 150.92009247996643 -27.378223441946616, 151.7257701045485 -27.37822344194662, 151.7257701045485 -27.003737843741654))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 3446 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069329-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45hfm2
title: Occurrence Download

description: A dataset containing 20575 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Argentino de Ciencias Naturales \"Bernardino Rivadavia\" (MACN). Ornithology National Collection (MACNOr)"
 ]
}

 The dataset includes 20575 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017443-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxvvsc
title: Occurrence Download

description: A dataset containing 2965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mauritius",
 "HasCoordinate is true",
 "TaxonKey is Elasmobranchii",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2965 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001032-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5djdy
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Engraulis ringens Jenyns, 1842"
 ]
}

 The dataset includes 256 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028738-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmgmg3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is United States of America"
 ]
 },
 "GadmGid is CHN.30_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025133-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5in7o
title: Occurrence Download

description: A dataset containing 49793 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lantana camara L."
 ]
}

 The dataset includes 49793 records from 553 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000387-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ldhlqx
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Copsychus cebuensis (Steere, 1890)",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 40 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063051-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj6wiu
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Wasmannia auropunctata (Roger, 1863)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 369 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001032-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggzhut
title: Occurrence Download

description: A dataset containing 16937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agaricia tenuifolia Dana, 1846"
 ]
}

 The dataset includes 16937 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135094-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nuz63
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachycereus pecten-aboriginum (Engelm. ex S.Watson) Britton & Rose"
 ]
}

 The dataset includes 1828 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082977-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.