cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/dkw-nrf-3ag
title: Astragalus alpinus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e49-s6e-sba
title: Alchemilla vulgaris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fxd-s6f-xvg
title: Nectandra grandiflora Nees & Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jmj-b8b-d53
title: Fagopyrum tataricum (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/khe-3fe-mb4
title: Hieracium murorum unranked pergrandidentifolium Callier & Zahn

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ssx-grn-1bw
title: Amaranthus hypochondriacus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g4x-3w6-18v
title: Hieracium porrifolium subsp. pseudoporrifolium Nägeli & Peter

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tbr-z7p-k2z
title: Amaranthus hybridus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ww7-yaz-bsx
title: Anacamptis pyramidalis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e51-r1c-p9g
title: Anacamptis pyramidalis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kv3-yg4-j91
title: Fagopyrum tataricum (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x5t-4dm-0ba
title: Astragalus alpinus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d7z-nva-2c3
title: Potamogeton natans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jsy-cj2-5dk
title: Fagopyrum esculentum Moench

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5ch-5dt-cq4
title: Anthyllis affinis Brittinger ex A. Kern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v6w-tmk-zjj
title: Picris evae Lack

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yv8-g68-jfg
title: Anacamptis pyramidalis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2lw-yse-sjw
title: Anacamptis pyramidalis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/483-ctd-mq9
title: Anthyllis affinis Brittinger ex A. Kern.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8ej-6h0-0z8
title: Nuphar lutea (L.) Sm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/24t-n7m-14j
title: Astragalus alpinus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7cm-mgf-ae8
title: Nymphoides peltata (S. G. Gmel.) Kuntze

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tpf-9ap-m1r
title: Astragalus asper Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.2a7trq
title: Occurrence Download

description: A dataset containing 2829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((7.5 -30,15 -30,15 -22.5,7.5 -22.5,7.5 -30))"
 ]
}

 The dataset includes 2829 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036070-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/hd1-r9s-n7s
title: Hieracium piliferum subsp. piliferum Hoppe

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/res-avc-abf
title: Amaranthus hybridus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w64-v7q-k06
title: Astragalus alpinus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2fw-x6y-8xp
title: Melilotus albus Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6hh-rem-mfl
title: Parmelinella citrina var. phlogina Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s5n-ysh-x0d
title: Fagopyrum tataricum (L.) Gaertn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.13165681
title: Binary black-hole simulation SXS:BBH:0062

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165682
title: Binary black-hole simulation SXS:BBH:0062

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.yrq3t7
title: Occurrence Download

description: A dataset containing 36327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum tenuifolium L."
 ]
}

 The dataset includes 36327 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045483-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13165689
title: Binary black-hole simulation SXS:BBH:0112

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165690
title: Binary black-hole simulation SXS:BBH:0112

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165695
title: Binary black-hole simulation SXS:BBH:0109

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165696
title: Binary black-hole simulation SXS:BBH:0109

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165701
title: Binary black-hole simulation SXS:BBH:0108

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165702
title: Binary black-hole simulation SXS:BBH:0108

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165709
title: Binary black-hole simulation SXS:BBH:0111

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165710
title: Binary black-hole simulation SXS:BBH:0111

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165715
title: Binary black-hole simulation SXS:BBH:0110

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165716
title: Binary black-hole simulation SXS:BBH:0110

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165719
title: Binary black-hole simulation SXS:BBH:0106

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165720
title: Binary black-hole simulation SXS:BBH:0106

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.34740/kaggle/dsv/9088052
title: ⏳ endoflife.date database (duckdb)
DOI: 10.4121/304db898-f99c-490a-97c4-13f919ae3c05
title: Research data underlying "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter"

description: This dataset contains the research data underlying the publication "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter". The preprint of this publication is available at SSRN: http://dx.doi.org.tudelft.idm.oclc.org/10.2139/ssrn.4851452 <br><strong>Contents</strong>The dataset contains altimetry data of the Sentinel-6 mission over small parts of the Garonne and Creuse rivers in France in two processing stages:the FFSAR-processed altimetry signal, derived from EUMETSAT Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) via the processor described in Ehlers et al. 2022 (http://doi.org/10.1016/j.asr.2022.11.034). The data in the form of netcdf files is contained in the zip-archivesGaronne_FFSAR_altimetry_data.zipCreuse_FFSAR_altimetry_data.zipthe PICTA-processed river water level profiles, derived from the FFSAR-processed altimetry data and the geophysical corrections contained in EUMETSAT Level-2 altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0096), see source publication for details. The data in the form of netcdf files is contained in the zip-archivesGaronne_river_profile_data.zipCreuse_river_profile_data.zip<br>For both processing levels, the archives contain netCDF files with the data of single satellite overpasses (as in the original EUMETSAT datasets). For convenience, both the FFSAR-processed and the PICTA-derived data that belong to a specific overpass carry the original file identifier of the underlying Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) plus the extension "_TUDelft".<br><br><br><br>
DOI: 10.4121/304db898-f99c-490a-97c4-13f919ae3c05.v1
title: Research data underlying "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter"

description: This dataset contains the research data underlying the publication "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter". The preprint of this publication is available at SSRN: http://dx.doi.org.tudelft.idm.oclc.org/10.2139/ssrn.4851452 <br><strong>Contents</strong>The dataset contains altimetry data of the Sentinel-6 mission over small parts of the Garonne and Creuse rivers in France in two processing stages:the FFSAR-processed altimetry signal, derived from EUMETSAT Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) via the processor described in Ehlers et al. 2022 (http://doi.org/10.1016/j.asr.2022.11.034). The data in the form of netcdf files is contained in the zip-archivesGaronne_FFSAR_altimetry_data.zipCreuse_FFSAR_altimetry_data.zipthe PICTA-processed river water level profiles, derived from the FFSAR-processed altimetry data and the geophysical corrections contained in EUMETSAT Level-2 altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0096), see source publication for details. The data in the form of netcdf files is contained in the zip-archivesGaronne_river_profile_data.zipCreuse_river_profile_data.zip<br>For both processing levels, the archives contain netCDF files with the data of single satellite overpasses (as in the original EUMETSAT datasets). For convenience, both the FFSAR-processed and the PICTA-derived data that belong to a specific overpass carry the original file identifier of the underlying Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) plus the extension "_TUDelft".<br><br><br><br>
DOI: 10.5281/zenodo.13165744
title: Binary black-hole simulation SXS:BBH:0113

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13165745
title: Binary black-hole simulation SXS:BBH:0113

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.18444/5.03.01.0005.0015.0001
title: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten Epi2019_1, verfügbare Diagnosejahre bis 2017 (für die neuen Bundesländer nur bis Diagnosejahr 2015 auf dem Stand von Epi2017_2, für Hessen und Rheinland-Pfalz nur bis Diagnosejahr 2016 auf dem Stand von Epi2018_2).
title: Population-based cancer registry dataset from the German Center for Cancer Registry Data.

description: Das Zentrum für Krebsregisterdaten im Robert Koch-Institut erstellt auf Basis der in den Bundes­ländern jährlich erfassten Krebsneuerkrankungen fortlaufend einen aktualisierten Datensatz zu Krebsneuerkrankungen in Deutschland. Seit dem Jahr 2009 werden in ganz Deutschland flächendeckend alle neuauftretenden Krebserkrankungen systematisch auf Basis eigener Ländergesetze erfasst.
description: Datensatz des ZfKD auf Basis der epidemiologischen Landeskrebsregisterdaten
description: Register
description: Der Datensatz basiert auf den Daten der epidemiologischen Landeskrebsregister zu jährlich erfassten Krebsneuerkrankungen im jeweiligen Bundesland.
DOI: 10.4225/25/552b5aad0c34a
title: Geodesy - Continuously Operating

description: Data collected from the Australian Regional Global Navigation Satellite System (GNSS)  network, AuScope network and other GNSS observatories located around the world over the last 15 years.
DOI: 10.5066/p17e4ejd
title: Clothianidin concentrations in milkweed leaves that leads to prepupal mortality in monarch butterflies

description: A set of experiments was conducted to determine the dietary clothianidin exposures that cause prepupal mortality in the absence of other adverse effects. Monarch larvae were raised from hatch to pupae on clothianidin contaminated swamp milkweed plants. Larval growth, larval survival, and prepupal survival were monitored throughout the experiments in which the exposures ranged from 1.4 – 2,793.1 ng/g leaf. Exposures of 5.4 – 46.9 ng/g leaf resulted exclusively in prepupal mortality while higher exposures of 1,042.4 – 2,793.1 ng/g leaf resulted exclusively in larval mortality. An LC50 and LC10 of 37 and 6 ng/g, respectively, were estimated based on prepupal mortality.
DOI: 10.5066/p981e670
title: Near-field Remote Sensing of River Velocity, Stage, and Precipitation during Portions of 2015 in Waldo Canyon, Colorado, USA

description: The sensor ensemble (DEbris and Floodflow Early warNing System, DEFENS) was deployed in Waldo Canyon, Pike National Forest, Colorado, which was burned during the Waldo Canyon fire in the summer of 2012. The ensemble consists of noncontact, ground-based (near-field), Doppler velocity (velocity) and pulsed (stage or gage height) radars, rain gages, and a redundant radio communication network. This ensemble of instruments was used to calculate stream channel characteristics derived from light detection and ranging (lidar) data. These data were leveraged to predict mean channel velocities based on Manning's equation, which were needed to compute the kinematic celerity and uncertainties and include water level, cross-sectional area, mean-channel velocity, and discharge. Surface velocity, stage, and precipitation time-series data collected during the field deployment on 10 August, 2015 were used to validate this novel method for predicting flood wave velocities and travel times as a function of stream discharge.
DOI: 10.5066/p9pjfe82
title: Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada

description: These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
DOI: 10.5281/zenodo.8144136
title: Data underpinning "Unraveling long-time quantum dynamics using flow equations"

description: The study of many-body quantum dynamics in strongly-correlated systems is extremely challenging. To date few numerical methods exist which are capable of simulating the non-equilibrium dynamics of two-dimensional quantum systems, in part reflecting complexity theoretic obstructions. In this work, we present a new technique able to overcome this obstacle, by combining continuous unitary flow techniques with the newly developed method of scrambling transforms. We overcome the prejudice that approximately diagonalizing the Hamiltonian cannot lead to reliable predictions for relatively long times. To the contrary, we show that the method works well in both localized and delocalized phases, and makes reliable predictions for a number of quantities including infinite-temperature autocorrelation functions. We complement our findings with rigorous incremental bounds on the truncation error. This approach shows that in practice, the exploration of intermediate-scale time evolution may be more feasible than is commonly assumed, challenging near-term quantum simulators.
DOI: 10.5281/zenodo.8411098
title: ICON-LES for FESSTVaL: Jogi cold pool 2021-06-29

description: Dataset used in How Variable are Cold Pools? Leah D. Grant, Bastian Kirsch, Jennie Bukowski, Nicholas M. Falk, Christine A. Neumaier, Mirjana Sakradzija Susan C. van den Heever, and Felix Ament submitted to Geophysical Research Letters
DOI: 10.5676/eum_saf_cm/lst_meteosat/v001
title: CM SAF Land SUrface Temperature dataset from METeosat First and Second Generation - Edition 1 (SUMET Ed. 1)

description: This Thematic Climate Data Record (TCDR) provides Land Surface Temperature (LST) derived from the Meteosat Visible and InfraRed Imager (MVIRI) on board the Meteosat First Generation (MFG) and the Spinning Enhanced Visible and InfraRed Imager (SEVIRI)  onboard the Meteosat Second Generation (MSG) satellites. The covered time period ranges from January 1991 to December 2015, thus includes MFG 4 to 7 and MSG 1 to 3. Original thermal radiances were inter-calibrated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) using the High Resolution Infrared Radiation Sounder (HIRS) as a reference.
The LST is derived from Meteosat by use of single-channel LST retrieval algorithms suitable to generate LST data across Meteosat satellite generations. This TCDR includes two different LST products: the Statistical Land Surface Temperature product generated with a statistical LST retrieval approach and a Physical Land Surface Temperature product based on radiative transfer calculations. The LST is presented as hourly data and as monthly averaged diurnal cycle composites on a 0.05°x0.05° grid covering the entire Meteosat disk (Africa and Europe). 
A summary of the retrieval algorithms is provided by Duguay–Tetzlaff et al. 2015. Along with the data, a comprehensive documentation including user guide, algorithm descriptions and extensive validation studies, is given.
DOI: 10.7924/r45t3km1m
title: Data from: Neurobiology of social reward valuation in adults with a history of anorexia nervosa

description: Objective: Anorexia nervosa (AN) is a disorder characterized by atypical patterns of reward valuation (e.g. positive valuation of hunger). Atypical reward processing may extend into social domains. If so, such findings would be of prognostic significance as impaired social functioning predicts worse outcome. We explore neural circuits implicated in social reward processing in individuals with a history of AN who are weight-restored relative to controls and examine the effects of illness course on the experience of social value. 

Method: 20 weight-restored individuals with a history of AN (AN-WR) and 24 healthy control (HC) participants were assessed using fMRI tasks that tapped social reward: smiling faces and full human figures that varied in attractiveness and weight. 

Results: AN-WR differed from HC in attractiveness ratings by weight (negatively correlated in AN-WR). While there were no significant differences when viewing smiling faces, viewing full figures resulted in decreased activation in regions implicated in reward valuation (the right caudate) for AN-WR and this region was negatively correlated with a sustained course of the disorder. Exploratory whole brain analyses revealed reduced activation in regions associated with social reward, self-referential processing, and cognitive reappraisal (e.g., medial prefrontal cortex, striatum, and nucleus accumbens) with sustained disorder course. 

Discussion: The rewarding value of full body images decreases with a sustained disorder course. This may reflect an extension of atypical reward processing documented in AN-WR, perhaps as a function of starvation dampening visceral motivational signals; the deployment of cognitive strategies that lessen the experience of reward; and/or the nature of the stimuli themselves as provocative of eating disorder symptoms (e.g., thin bodies). These findings did not extend to smiling face stimuli. Advances in technology (e.g., virtual avatars, text messaging) may provide novel means to build relationships, including therapeutic relationships, to support improved social connections without threats to symptom provocation.
DOI: 10.14272/rvbyfqzwfrudca-wafkzfkjsa-l
title: C38H68F6N12O7S2Zn
title: InChI=1S/2C16H30N6.C4H8O.2CHF3O3S.Zn/c2*1-19-9-10-20(2)15(19)17-13-7-5-6-8-14(13)18-16-21(3)11-12-22(16)4;1-2-4-5-3-1;2*2-1(3,4)8(5,6)7;/h2*13-14H,5-12H2,1-4H3;1-4H2;2*(H,5,6,7);/q;;;;;+2/p-2/t2*13-,14-;;;;/m11..../s1

description: This dataset contains experimental data from a sample (InChI=1S/2C16H30N6.C4H8O.2CHF3O3S.Zn/c2*1-19-9-10-20(2)15(19)17-13-7-5-6-8-14(13)18-16-21(3)11-12-22(16)4;1-2-4-5-3-1;2*2-1(3,4)8(5,6)7;/h2*13-14H,5-12H2,1-4H3;1-4H2;2*(H,5,6,7);/q;;;;;+2/p-2/t2*13-,14-;;;;/m11..../s1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) process
DOI: 10.15468/dl.mz67yk
title: Occurrence Download

description: A dataset containing 1500 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuniculus taczanowskii (Stolzmann, 1865)"
 ]
}

 The dataset includes 1500 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144839-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/483dpdvh8w.1
title: Appendix. "Gender occupational intensity and wages in the Northern Triangle of Central America"

description: Supplementary documents and Tables from the study "Gender occupational intensity and wages in the Northern Triangle of Central America"
DOI: 10.17632/ztcjdmk5wn.1
title: Trace element dataset for stalagmite XL-4

description: Here, we present trace elements and carbon isotope data for stalagmite XL-4.