cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.939427
title: High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data

description: The Qinghai Tibet region, known as the Roof of the World and the Water Tower of Asia, has the largest number of lakes in the world, and because of its high altitude and the near absence of disturbance by human activity, the Tibetan plateau has long been a significant place to study global climate change. Hydrological stations cannot be easily set up in this area, and the in-situ gauge data are not always publicly accessible. Satellite radar altimetry has become a very important alternative to in-situ observations as a data source. Estimation of lake water levels with a given radar altimeter is often limited by temporal and spatial coverage, and therefore multi-altimeter data are used to monitor lake levels. Restricted by the accuracy of waveform processing and the intervals period between different altimetry missions, the accuracy and the sampling frequency of the water level series are low. By processing and merging 8 different altimetry missions, the developed data set gives the water level changes for 364 lakes (larger than 10 km2) in Tibetan Plateau from 2002 to 2021. The period of lake level change series with high accuracy can be much longer in many lakes. This data set and associated approaches are valuable for calculating the lake storage changes, trend analyses of lake level, short-term monitoring of lake overflow, flooding disasters on the Tibetan Plateau, and the relationships between the lake ecosystem change and water resources change.
DOI: 10.1594/pangaea.973443
title: High-space-coverage lake level change data sets on the Tibetan Plateau from 2002 to 2021 using multiple altimeter data

description: The Qinghai Tibet region, known as the Roof of the World and the Water Tower of Asia, has the largest number of lakes in the world, and because of its high altitude and the near absence of disturbance by human activity, the Tibetan plateau has long been a significant place to study global climate change. Hydrological stations cannot be easily set up in this area, and the in-situ gauge data are not always publicly accessible. Satellite radar altimetry has become a very important alternative to in-situ observations as a data source. Estimation of lake water levels with a given radar altimeter is often limited by temporal and spatial coverage, and therefore multi-altimeter data are used to monitor lake levels. Restricted by the accuracy of waveform processing and the intervals period between different altimetry missions, the accuracy and the sampling frequency of the water level series are low. By processing and merging 8 different altimetry missions, the developed data set gives the water level changes for 361 lakes (larger than 10 km2) in Tibetan Plateau from 2002 to 2021. The period of lake level change series with high accuracy can be much longer in many lakes. This data set and associated approaches are valuable for calculating the lake storage changes, trend analyses of lake level, short-term monitoring of lake overflow, flooding disasters on the Tibetan Plateau, and the relationships between the lake ecosystem change and water resources change.
description: This is a newer version due to review process of related paper.
DOI: 10.1594/pangaea.832973
title: CO2 production rates in the Arctic region, oxic treatment
DOI: 10.1594/pangaea.832974
title: CO2 production rates in the Arctic region, anoxic treatment
DOI: 10.1594/pangaea.983769
title: GNSS measurements of PS144 ice stations

description: Here we present raw and post processed GNSS data acquired at all ice stations of the 2024 PS144 Arcwatch-2 expedition to the central Arctic Ocean. Depending on the duration of the ice station and safety restrictions we were able to install between 3 and 6 GNSS reference stations per ice station. During the expedition Polarstern was moored to ten ice floes with the first ice station on 2024-08-16 and the last one on 2024-09-26. During the ice stations GNSS data were logged every 5s utilizing a Novatel Flexpak-6 GNSS receiver and were processed employing the Canadian Spatial Reference System Precise Point Positioning (CSRS-PPP) service (Tetreault et al, 2005). Furthermore we defined reference dates and times for each ice station for which we provide the post processed GNSS solutions in a separate table. Also manual ice thickness, freeboard and snow depth measurements were conducted at each GNSS station which are also included in the table. The post processed GNSS data can readily be used for drift correction and geocoding of different datasets acquired during the ice stations of PS144. The provided raw data can be post processed with other/own software if required.
description: Zip files include raw and post processed GNSS data of every GNSS station operated during PS144 ice stations. The pdc file is the raw GNSS data which can be converted to common RINEX format using Novatel convert.The txt file is the post processed GNSS data employing the Canadian Spatial Reference System Precise Point Positioning (CSRS-PPP) service.The npy file is the post processed GNSS data employing the Canadian Spatial Reference System Precise Point Positioning (CSRS-PPP) service saved as Python binary.The png file is a plot indicating the measured GNSS elevation over time.
DOI: 10.48668/0zl2sp/xpk7t6
title: Final Supplementary 10 rescue antiemetic v3_2025.pdf

description: Network meta-analysis results for rescue antiemetics
DOI: 10.1594/pangaea.984115
title: UAV based orthomosaics and ice surface models from the ArcWatch-2 Expedition

description: Here we present 10 orthomosaics and 13 Digital Elevation Models (DEMs) acquired from UAV surveys during the ArcWatch-2 (PS144) Polarstern Expedition. The data were acquired between 2024-08-16 and 2024-09-26 during 10 ice stations when the vessel was moored to larger ice floes. While most of the surveys were conducted with a camera drone 3 DEMs originate from UAV LiDAR surveys. All DEMs and orthomosaics were drift corrected and referenced to local GNSS stations resulting in vertical accuracies between 0.23 and 0.03 m. The latter largely depend on the conducted flight patterns and prevailing environmental conditions.
description: We provide one zip file per ice station including orthomosaics and DEMs of the respective ice station in GeoTiff file format. The reference time of each dataset is indicated in the filename. If the DEM data originate from a UAV LiDAR survey this is also indicated in the filename.
DOI: 10.48668/0zl2sp/pud05i
title: Final Supplementary 10 rescue antiemetic v3_2025.pdf

description: :unav
DOI: 10.48668/0zl2sp
title: Need for rescue antiemetic drug(s) when prophylaxis fails

description: Results of network meta-analysis for need for rescue antiemetic drug(s)
DOI: 10.1594/pangaea.853636
title: Microbial activity in polygonal ponds
DOI: 10.1594/pangaea.984277
title: Basic and other measurements of radiation at station Cabauw (2025-04)
DOI: 10.1594/pangaea.984278
title: Basic and other measurements of radiation at station Cabauw (2025-07)
DOI: 10.1594/pangaea.984279
title: Basic and other measurements of radiation at station Cabauw (2025-06)
DOI: 10.1594/pangaea.984280
title: Basic and other measurements of radiation at station Cabauw (2025-05)
DOI: 10.48668/7s8y37/1iqfnx
title: Final Supplementary 9 vomiting v3_2025.pdf

description: Network meta-analysis results for postoperative vomiting
DOI: 10.3535/yrc-e6k-qda
title: Restiosporium proliferum Vánky

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.48668/7s8y37/fn3csx
title: Final Supplementary 9 vomiting v3_2025.pdf

description: :unav
DOI: 10.48668/7s8y37
title: Postoperative vomiting

description: Results of network meta-analysis for postoperative vomiting
DOI: 10.3535/kzh-78x-a9f
title: Microbotryum afromontanum Vánky

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.48668/m2wm77/o1jcne
title: Final Supplementary 8 nausea v3_2025.pdf

description: Network meta-analysis results for postoperative nausea
DOI: 10.48668/m2wm77/y9owqv
title: Final Supplementary 8 nausea v3_2025.pdf

description: :unav
DOI: 10.48668/m2wm77
title: Postoperative nausea

description: Results of network meta-analysis for postoperative nausea
DOI: 10.3535/n5n-mh8-978
title: Ochrolechia androgyna (Hoffm.) Arnold

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/04w-fxv-kmq
title: Clauzadea metzleri (Körb.) Clauzade & Cl. Roux ex D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f3v-8t8-d86
title: Parmelia saxatilis (L.) Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mm5-qjl-6aj
title: Parmeliopsis ambigua (Hoffm.) Nyl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gg8-1sg-fsr
title: Thelidium incavatum Nyl. ex Mudd

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1xd-z7j-46v
title: Ochrolechia szatalaensis Verseghy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vrw-qth-c4v
title: Lichenoconium lecanorae (Jaap) D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.ydp22r
title: Occurrence Download

description: A dataset containing 612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera speciosa",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 612 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047532-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/w8y-2he-r14
title: Cladonia sulphurina (Michx.) Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5jg-j2a-4nd
title: Physconia muscigena (Ach.) Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qbg-s4w-spy
title: Hypogymnia physodes (L.) Nyl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bra-zwy-32p
title: Ochrolechia upsaliensis (L.) A. Massal.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yxe-44m-1cg
title: Cetraria islandica (L.) Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3bs-vpt-sjs
title: Hypogymnia physodes (L.) Nyl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qg6-34p-9dm
title: Physcia dubia (Hoffm.) Lettau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8ea-0gk-s82
title: Lecidella wulfenii (Ach.) Körb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8ny-mdt-gzj
title: Scoliciosporum umbrinum (Ach.) Arnold

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

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera speciosa",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047533-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17089236
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250910a Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250910a Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17089237
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250910a Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250910a Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.3535/taz-glg-qfy
title: Ramboldia insidiosa (Th. Fr.) Hafellner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v47-ev1-y43
title: Xanthoria elegans (Link) Th. Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.7zp9t6
title: Occurrence Download

description: A dataset containing 126982974 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 126982974 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047511-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j92q24
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brycon orthotaenia)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047536-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.regaka
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047538-250827131500795/datasets/export for details.
DOI: 10.15468/dl.uhxxyt
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 94 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047539-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x92d4p
title: Occurrence Download

description: A dataset containing 3319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3319 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047537-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dzfme
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Costasiella kuroshimae"
 ]
}

 The dataset includes 270 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047540-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9md74
title: Occurrence Download

description: A dataset containing 54070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paulownia tomentosa"
 ]
}

 The dataset includes 54070 records from 583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047503-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9jm2t
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Cedrela odorata",
 "Year 2000-2025"
 ]
}

 The dataset includes 119 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047541-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/4e7-j0h-y8e
title: Cetraria islandica (L.) Ach.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ghf-tej-8s7
title: Lichenodiplis lecanorae (Vouaux) Dyko & D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b3r-qan-y3m
title: Physconia muscigena (Ach.) Poelt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.17089166
title: From micro to macro: multi-scale causal emergent complexity analysis in traffic dynamics

description: Accurate traffic prediction is essential for modern urban transportation systems. In this paper, we propose a novel multiscale causal modeling framework for traffic prediction, leveraging Emergent Complexity (EC 2.0) analysis to uncover thehierarchical nature of traffic dynamics. Through detailed experiments on real-world datasets (PEMS08, PEMS04, METR-EC)and Beijing Freeway & Rural Scenario datasets, we demonstrate the dominance of spatial dependencies in traffic patternswhile highlighting the complementary role of temporal relationships. Our approach identifies critical nodes and paths withinthe network, revealing congestion-prone areas and informing targeted interventions. Furthermore, we show that our multiscale model outperforms existing methods, achieving state-of-the-art results across all datasets. By analyzing phase transitionsin causal gains (ΔCP) and training dynamics, we provide interpretable insights into the model’s learning process and causalstructure discovery. This work advances the field of traffic prediction by integrating causal reasoning and multi-scale modeling,offering both high accuracy and interpretability.
DOI: 10.5281/zenodo.17089165
title: From micro to macro: multi-scale causal emergent complexity analysis in traffic dynamics

description: Accurate traffic prediction is essential for modern urban transportation systems. In this paper, we propose a novel multiscale causal modeling framework for traffic prediction, leveraging Emergent Complexity (EC 2.0) analysis to uncover thehierarchical nature of traffic dynamics. Through detailed experiments on real-world datasets (PEMS08, PEMS04, METR-EC)and Beijing Freeway & Rural Scenario datasets, we demonstrate the dominance of spatial dependencies in traffic patternswhile highlighting the complementary role of temporal relationships. Our approach identifies critical nodes and paths withinthe network, revealing congestion-prone areas and informing targeted interventions. Furthermore, we show that our multiscale model outperforms existing methods, achieving state-of-the-art results across all datasets. By analyzing phase transitionsin causal gains (ΔCP) and training dynamics, we provide interpretable insights into the model’s learning process and causalstructure discovery. This work advances the field of traffic prediction by integrating causal reasoning and multi-scale modeling,offering both high accuracy and interpretability.
DOI: 10.3535/5rh-m1f-yc7
title: Candelariella aurella (Hoffm.) Zahlbr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ghg-ly1-b3w
title: Bilimbia lobulata (Sommerf.) Hafellner & Coppins

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lx2-xkv-lff
title: Acarospora cervina A. Massal.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q6y-3b0-04e
title: Diplotomma hedinii (H. Magn.) P. Clerc & Cl. Roux

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2vq-vrz-t3z
title: Parmeliopsis ambigua (Hoffm.) Nyl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8xn-14h-dra
title: Weddellomyces epicallopisma (Wedd.) D. Hawksw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.mtzc6e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047544-250827131500795/datasets/export for details.
DOI: 10.15468/dl.em3hcs
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "TaxonKey is Tinamus tao",
 "Year 2020-2025"
 ]
}

 The dataset includes 683 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047542-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtrpge
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047545-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93kd5b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera stricta",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047546-250827131500795/datasets/export for details.
DOI: 10.15468/dl.a3nyhb
title: Occurrence Download

description: A dataset listing the 64 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (New Zealand)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Insecta [GBIF Backbone Taxonomy], Arthropoda [GBIF Backbone Taxonomy])",
 "Geometry POLYGON((170.04279 -44.03808,170.04279 -44.12609,170.16449 -44.13365,170.15761 -44.03258,170.04279 -44.03808))"
 ]
 }
 ]
}

 The dataset's 64 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047526-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8rr-6bb-ecr
title: Lecidella stigmatea (Ach.) Hertel & Leuckert

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pzh-e13-gxp
title: Psora decipiens (Hedw.) Hoffm.

description: Digital Specimen for the physical specimen hosted at University of Graz.