cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14346816
title: Consistent Cumulative Slip Rates but Shifting Fault Strand Activity in the Xiaojiang Fault Zone, Southeastern Tibetan Plateau, Across Decadal and Millennial Timescales

description: Supporting information accompanies the publication "Consistent Cumulative Slip Rates but Shifting Fault Strand Activity in the Xiaojiang Fault Zone, Southeastern Tibetan Plateau, Across Decadal and Millennial Timescales".



Block: block file to the block model

Command: command file to the block model

Segment: fault segment file to the block model

Station: station file to the block model. (Error normalization was applied to adjust the uncertainties, resulting in a chi-squared per degree of freedom (χ^2/DOF) of 1.)

ZMX_DEM: 0.5-m resolution DEM at the ZMX site

BSY_DEM: 0.5-m resolution DEM at the BSY site

DFC_DEM: 0.5-m resolution DEM at the DFC site
DOI: 10.15468/dl.z4hkaa
title: Occurrence Download

description: A dataset containing 485 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Taiwan Ocean University"
 ]
}

 The dataset includes 485 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027414-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q79pky
title: Occurrence Download

description: A dataset containing 3186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((510.7267 -2.51575,510.6545 -2.69024,510.78632 -2.80543,510.9909 -2.83552,511.76107 -3.37705,512.45904 -3.89451,512.65158 -4.15925,512.62751 -4.41197,512.77192 -4.80909,512.90429 -4.90536,513.07879 -4.79104,513.13294 -4.56239,513.19913 -4.30968,513.18107 -4.12917,512.87421 -3.79222,512.52522 -3.56959,512.05433 -3.17079,511.75949 -3.06249,511.48873 -2.89401,511.23602 -2.69545,510.95924 -2.56308,510.7267 -2.51575))"
 ]
}

 The dataset includes 3186 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027415-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25959/ha9w-2t65
title: REVISED Dec2024: Lachlan Orogen GPlates model

description: REVISED as of Dec 2024. Model data and GPlates project file for Cambrian-Devonian reconstruction of the Lachlan Orogen integrated into a global model (Wright et al., 2013 - doi:10.5194/bg-10-1529-2013). All spatial datasets are provided in .gpml format and rotation files in .grot format.
DOI: 10.26189/d0d4ab7a-4003-4d45-92fb-6976c2f5096d
title: 3D models of Vande Pottery Pin-Dishes

description: Dataset for the 3D visualisation of seven different Vandé Pottery (Sydney) Pin-Dishes with relief motifs of Indigenous Australian men
DOI: 10.15468/dl.kddbkk
title: Occurrence Download

description: A dataset containing 21640618 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Chinese Taipei"
 ]
}

 The dataset includes 21640618 records from 1359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027407-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejxtj7
title: Occurrence Download

description: A dataset containing 1803 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrocephalus nanus Gould, 1838"
 ]
}

 The dataset includes 1803 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027417-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27966648
title: <b>ERROR: PCMR, A Comprehensive PreCancerous Molecular Repository and Online Analysis Platform</b>

description: Cancer remains a leading cause of death despite advancements in screening and treatment. Early detection and intervention of precancerous lesions plays a pivotal role in reducing cancer morbidity and mortality. A thorough analysis of genomic, transcriptomic, proteomic and epigenomic alterations can reveal early stages of carcinogenesis. However, the absence of an integrated, well-curated repository of molecular data limits our understanding of precancerous processes. Here, we introduce PreCancerous Molecular Repository and Online Analysis Platform (PCMR), which integrates 25,792 molecular profiles from precancerous samples paired with normal or malignant counterparts. These profiles cover precancerous lesions of 34 cancer types across 19 organs and tissues from tissue samples, liquid biopsies, cell lines or organoids, with data from transcriptomics, proteomics and epigenomics. PCMR also includes 59,754 precancer-gene associations derived from differential analysis and text-mining using ChatGPT large language model. Based on user-friendly, interactive tools within PCMR, we examined the reliability and significance by molecular signature retrieval, analysis and visualization. Collectively, PCMR will serve as an essential resource for in-depth precancerous researches, improving patient outcomes.
DOI: 10.6084/m9.figshare.27966648.v1
title: <b>PCMR, A Comprehensive PreCancerous Molecular Repository and Online Analysis Platform</b>

description: Cancer remains a leading cause of death despite advancements in screening and treatment. Early detection and intervention of precancerous lesions plays a pivotal role in reducing cancer morbidity and mortality. A thorough analysis of genomic, transcriptomic, proteomic and epigenomic alterations can reveal early stages of carcinogenesis. However, the absence of an integrated, well-curated repository of molecular data limits our understanding of precancerous processes. Here, we introduce PreCancerous Molecular Repository and Online Analysis Platform (PCMR), which integrates 25,792 molecular profiles from precancerous samples paired with normal or malignant counterparts. These profiles cover precancerous lesions of 34 cancer types across 19 organs and tissues from tissue samples, liquid biopsies, cell lines or organoids, with data from transcriptomics, proteomics and epigenomics. PCMR also includes 59,754 precancer-gene associations derived from differential analysis and text-mining using ChatGPT large language model. Based on user-friendly, interactive tools within PCMR, we examined the reliability and significance by molecular signature retrieval, analysis and visualization. Collectively, PCMR will serve as an essential resource for in-depth precancerous researches, improving patient outcomes.
DOI: 10.6084/m9.figshare.27966648.v2
title: <b>ERROR: PCMR, A Comprehensive PreCancerous Molecular Repository and Online Analysis Platform</b>

description: Cancer remains a leading cause of death despite advancements in screening and treatment. Early detection and intervention of precancerous lesions plays a pivotal role in reducing cancer morbidity and mortality. A thorough analysis of genomic, transcriptomic, proteomic and epigenomic alterations can reveal early stages of carcinogenesis. However, the absence of an integrated, well-curated repository of molecular data limits our understanding of precancerous processes. Here, we introduce PreCancerous Molecular Repository and Online Analysis Platform (PCMR), which integrates 25,792 molecular profiles from precancerous samples paired with normal or malignant counterparts. These profiles cover precancerous lesions of 34 cancer types across 19 organs and tissues from tissue samples, liquid biopsies, cell lines or organoids, with data from transcriptomics, proteomics and epigenomics. PCMR also includes 59,754 precancer-gene associations derived from differential analysis and text-mining using ChatGPT large language model. Based on user-friendly, interactive tools within PCMR, we examined the reliability and significance by molecular signature retrieval, analysis and visualization. Collectively, PCMR will serve as an essential resource for in-depth precancerous researches, improving patient outcomes.
DOI: 10.6084/m9.figshare.27107545
title: Tables S11-17

description: Supplementary Tables11-17 for "Genome-wide and phenome-wide studies provided novel insights into brain glymphatic system function and its clinical associations".
DOI: 10.6084/m9.figshare.27107545.v2
title: Tables S11-17

description: Supplementary Tables11-17 for "Genome-wide and phenome-wide studies provided novel insights into brain glymphatic system function and its clinical associations".
DOI: 10.15468/dl.s35yzg
title: Occurrence Download

description: A dataset containing 550214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IMOS - Zooplankton Abundance and Biomass Index (CPR)"
 ]
}

 The dataset includes 550214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027416-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kxdan
title: Occurrence Download

description: A dataset containing 3007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "TaxonKey is Elmidae"
 ]
}

 The dataset includes 3007 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027418-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b36bax
title: Occurrence Download

description: A dataset containing 1385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((146.77503 -1.93352,146.57113 -1.94372,146.46918 -2.04567,146.4335 -2.17565,146.57878 -2.2878,146.65269 -2.20369,147.04519 -2.25212,147.28987 -2.23682,147.50906 -2.0839,147.39692 -1.93862,147.00696 -1.91823,146.77503 -1.93352))"
 ]
}

 The dataset includes 1385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027419-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25505/fiz.icsd.cc2lp9h3
title: CSD 2403755: Experimental Crystal Structure Determination

description: Related Article: Dayouzi|2024|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.pecab3
title: Occurrence Download

description: A dataset listing the 2607980 species recorded in GBIF matching the query:
{
 "IucnRedListCategory" : [
 "is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)"
 ]
}

 The dataset's 2607980 records were derived from 65792 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027413-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzr5zq
title: Occurrence Download

description: A dataset containing 748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Saguinus geoffroyi (Pucheran, 1845)"
 ]
}

 The dataset includes 748 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027420-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14347411
title: EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase I

description: This repository stores the data for the NCST project titled "EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase I."  The abstract is as follows.

This research explores electric vehicle (EV) and grid interactions with a focus on CO2 emissions for future scenarios where EVs comprise growing market shares (e.g., 10% of the overall fleet mix). A major contribution of this effort has been to develop a methodology that integrates sub-system models and datasets that have previously stood alone, namely models and data that characterize: vehicle energy consumption, travel demands, vehicle charging, and temporal emission profiles associated with electric power generation dispatch. This convergence research helps quantify the relative emissions of light duty vehicle use and charging during various times of day to enable comparison of EV modes against one another and against conventional vehicle baselines. An initial use case involving light duty commuter and recharging scenarios has been explored as a means of validating and tuning the methodology.  Under certain simulated scenarios, observed marginal emissions can be as much as 20% lower in the overnight hours compared to marginal CO2 emissions experienced during an identical charging event during the daytime. This study also confirms that marginal CO2 assumptions generally yield higher CO2 impacts than identical simulations that assume weighted average emissions. This variance is broad, ranging from 22% less to 97% greater, depending on a host of case-sensitive factors. These findings suggest that it will be essential to coordinate charging schedules and consider upstream grid implications in order to reduce the environmental impacts of EVs. By quantifying technical parameters related to both the magnitude and the range of possible emissions impacts, the study’s findings can be useful for education and awareness by all EV users, and will help decision-makers consider the importance of emission rate assumptions and the temporal granularity of the tools and data. More specifically, stakeholders should be incentivized to charge when marginal emissions are lowest whenever possible. This idea also has important implications about the location, type, cost and ownership models for tomorrow’s charging infrastructure. Translating and operationalizing this type of guidance will require some combination of education, access to rigorous and clear decision-support tools, signals between stakeholders (e.g., utilities and consumers), and behavioral change.
DOI: 10.5281/zenodo.14347412
title: EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase I

description: This repository stores the data for the NCST project titled "EVALUATE: Electric Vehicle Assessment and Leveraging of Unified models toward AbatemenT of Emissions, Phase I."  The abstract is as follows.

This research explores electric vehicle (EV) and grid interactions with a focus on CO2 emissions for future scenarios where EVs comprise growing market shares (e.g., 10% of the overall fleet mix). A major contribution of this effort has been to develop a methodology that integrates sub-system models and datasets that have previously stood alone, namely models and data that characterize: vehicle energy consumption, travel demands, vehicle charging, and temporal emission profiles associated with electric power generation dispatch. This convergence research helps quantify the relative emissions of light duty vehicle use and charging during various times of day to enable comparison of EV modes against one another and against conventional vehicle baselines. An initial use case involving light duty commuter and recharging scenarios has been explored as a means of validating and tuning the methodology.  Under certain simulated scenarios, observed marginal emissions can be as much as 20% lower in the overnight hours compared to marginal CO2 emissions experienced during an identical charging event during the daytime. This study also confirms that marginal CO2 assumptions generally yield higher CO2 impacts than identical simulations that assume weighted average emissions. This variance is broad, ranging from 22% less to 97% greater, depending on a host of case-sensitive factors. These findings suggest that it will be essential to coordinate charging schedules and consider upstream grid implications in order to reduce the environmental impacts of EVs. By quantifying technical parameters related to both the magnitude and the range of possible emissions impacts, the study’s findings can be useful for education and awareness by all EV users, and will help decision-makers consider the importance of emission rate assumptions and the temporal granularity of the tools and data. More specifically, stakeholders should be incentivized to charge when marginal emissions are lowest whenever possible. This idea also has important implications about the location, type, cost and ownership models for tomorrow’s charging infrastructure. Translating and operationalizing this type of guidance will require some combination of education, access to rigorous and clear decision-support tools, signals between stakeholders (e.g., utilities and consumers), and behavioral change.
DOI: 10.6084/m9.figshare.27997862
title: GCED challenges

description: The study aimed to examine the challenges faced by social studies teachers in implementing global citizenship education within two primary schools in Bangladesh. This study employed a qualitative case study approach, taking into account two elementary schools, one located in an urban area and the other in a rural one. The primary data for this study were acquired through in-depth interviews with four social studies teachers and two head teachers from two schools. Besides, four classroom observations and two focus group sessions with students were administered to gain more clarity. This study analyzed data thematically. This study finds seven core themes: knowledge about GC and GCED, integrating GCED, facilities and infrastructural support, Classroom management and teaching skills, Training and professional development, Assessment of GCED, and a load of tasks. Teachers of two primary schools face challenges in implementing global citizenship education effectively because of the lack of these seven aspects. So, policymakers and school authorities need to focus on solving these challenges to make students appropriate global citizens through social studies.
DOI: 10.15468/dl.w6525t
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagidium ahuacaense Ledesma, Wener, Spotorno & Albuja, 2009"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027422-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27997871
title: Tables S11-S17

description: Tables S11-S17 for "Genome-wide and phenome-wide studies provided novel insights into brain glymphatic system function and its clinical associations"
DOI: 10.15468/dl.c9h2a7
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nototriche phyllanthos (Cav.) A.W.Hill"
 ]
}

 The dataset includes 264 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027424-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dm2vz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagidium ahuacaense Ledesma, Wener, Spotorno & Albuja, 2009"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027425-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkfp5y
title: Occurrence Download

description: A dataset containing 1081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus durangensis Martínez"
 ]
}

 The dataset includes 1081 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027426-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg3bb4
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Panama",
 "TaxonKey is Dryopidae"
 ]
}

 The dataset includes 367 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027427-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d444bh
title: Occurrence Download

description: A dataset listing the 253843 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 253843 records were derived from 3714 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027421-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pcn-8fg-2d1
title: †Liospira Ulrich & Scofield, 1897

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q23-kbg-ywa
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13621700.v1
title: Evapotranspiration at major river basins of the world

description: Monthly evapotranspiration at major river basins of the world, the major river basin are amazon, mississippi, rhine, lena, yangtze, mekong, nile, murray-darling
DOI: 10.3535/c5r-jay-rnj
title: †Lophospira Whitfield, 1886

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pzm-fee-jv5
title: Peteinosphaeridium? sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21456459.v1
title: Supplemental Data 2,

description: The Process of Conceptualization from Narratives of Older Japanese People
DOI: 10.3535/n62-gz6-sht
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ynh-m8a-5cc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5gm-twt-73f
title: †Eoleperditia Swartz, 1949

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n8d-80f-69s
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/73w-tqf-4rz
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/faf-bhp-0p0
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/apc-8jh-drr
title: Tremataspis mammillata Patten, 1931

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