cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dnrc6
title: CCDC 2224478: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dnrd7
title: CCDC 2224479: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9kmy
title: CCDC 2243520: Experimental Crystal Structure Determination

description: Related Article: Li-Jun Chen, Qin Hou, Yu-Jia Cheng, Ming-Bu Luo, Er-Xia Chen, Yumei Dai, Xuechou Zhou, Hui-Li Zheng, Qipu Lin|2023|Cryst.Growth Des.|23|3098|doi:10.1021/acs.cgd.3c00208
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9knz
title: CCDC 2243521: Experimental Crystal Structure Determination

description: Related Article: Li-Jun Chen, Qin Hou, Yu-Jia Cheng, Ming-Bu Luo, Er-Xia Chen, Yumei Dai, Xuechou Zhou, Hui-Li Zheng, Qipu Lin|2023|Cryst.Growth Des.|23|3098|doi:10.1021/acs.cgd.3c00208
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f9kp0
title: CCDC 2243522: Experimental Crystal Structure Determination

description: Related Article: Li-Jun Chen, Qin Hou, Yu-Jia Cheng, Ming-Bu Luo, Er-Xia Chen, Yumei Dai, Xuechou Zhou, Hui-Li Zheng, Qipu Lin|2023|Cryst.Growth Des.|23|3098|doi:10.1021/acs.cgd.3c00208
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.26093/cds/vizier.36640174
title: Galactic interstellar dust Gaia-2MASS 3D maps

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Three-dimensional extinction maps: Inverting inter-calibrated extinction catalogs.' (bibcode: 2022A&A...664A.174V)
DOI: 10.5281/zenodo.7944476
title: 1968 Aerial Photos of Dasht-e Bayaz Earthquake, Iran

description: These are both georeferenced and original scans of 1:7,500 scale black and white aerial photographs collected in 1968 following the M7.1 Dasht-e Bayaz earthquake in Northeast Iran. They were originally presented by Ambraseys and Tchalenko (1969), however their original collection source is unattributed. <br> <br> Ambraseys, N.N., Tchalenko, J.S., 1969. The Dasht-E Bayaz (Iran) Earthquake of August 31, 1968: A Field Report. Bulletin of the Seismological Society of America 59, 1751–1792.
DOI: 10.5281/zenodo.7944475
title: 1968 Aerial Photos of Dasht-e Bayaz Earthquake, Iran

description: These are both georeferenced and original scans of 1:7,500 scale black and white aerial photographs collected in 1968 following the M7.1 Dasht-e Bayaz earthquake in Northeast Iran. They were originally presented by Ambraseys and Tchalenko (1969), however their original collection source is unattributed. <br> <br> Ambraseys, N.N., Tchalenko, J.S., 1969. The Dasht-E Bayaz (Iran) Earthquake of August 31, 1968: A Field Report. Bulletin of the Seismological Society of America 59, 1751–1792.
DOI: 10.26093/cds/vizier.18740043
title: MOJAVE. XVII. Parsec-scale jet kinematics of AGNs

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'MOJAVE. XVII. Jet kinematics and parent population properties of relativistically beamed radio-loud blazars.' (bibcode: 2019ApJ...874...43L)
DOI: 10.5281/zenodo.7946843
title: pyrrhura_devillei_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7946842
title: pyrrhura_devillei_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7939365
title: Sentinel2 RGB chips over Colombia (NE) with JRC GHSL Population Density 2015 for Learning with Label Proportions

description: <strong>Region of Interest (ROI) is comprised of the east - northeast region of Colombia covering<br> parts of Santander, Norte de Santander, Boyacá, Bolívar, Antioquia and Cundinamarca.</strong> We use the communes administrative division defined by DANE (Departamento Administrativo<br> Nacional de Estadística) under "municipios" in the MGN2021 at <br> https://geoportal.dane.gov.co/geovisores/territorio/mgn-marco-geoestadistico-nacional/ <strong>images: Sentinel2 RGB from 2020-01-01 to 2020-31-12</strong><br> filtered out pixels with clouds during the observation period according to QA60 band following the example<br> given in GEE dataset info page, and took the median of the resulting pixels see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.py <strong>labels: Global Human Settlement Layers, Population Grid 2015</strong> labels range from 0 to 31, with the following meaning:<br> label value original value in GEE dataset<br> 0 0<br> 1 1-10<br> 2 11-20<br> 3 21-30<br> ...<br> 31 &gt;=291 see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1 see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py <pre><code>_aschips.geojson the image chips geometries along with label proportions for easy visualization with QGIS, GeoPandas, etc. _communes.geojson the communes geometries with their label prortions for easy visualization with QGIS, GeoPandas, etc. splits.csv contains two splits of image chips in train, test, val - with geographical bands at 45° angles in nw-se direction - the same as above reorganized to that all chips within the same commune fall within the same split. data/ a pickle file for each image chip containing a dict with - the 100x100 RGB sentinel 2 chip image - the 100x100 chip level lavels - the label proportions of the chip - the aggregated label proportions of the commune the chip belongs to </code></pre>
DOI: 10.5281/zenodo.7939364
title: Sentinel2 RGB chips over Colombia (NE) with JRC GHSL Population Density 2015 for Learning with Label Proportions

description: <strong>Region of Interest (ROI) is comprised of the east - northeast region of Colombia covering<br> parts of Santander, Norte de Santander, Boyacá, Bolívar, Antioquia and Cundinamarca.</strong> We use the communes administrative division defined by DANE (Departamento Administrativo<br> Nacional de Estadística) under "municipios" in the MGN2021 at <br> https://geoportal.dane.gov.co/geovisores/territorio/mgn-marco-geoestadistico-nacional/ <strong>images: Sentinel2 RGB from 2020-01-01 to 2020-31-12</strong><br> filtered out pixels with clouds during the observation period according to QA60 band following the example<br> given in GEE dataset info page, and took the median of the resulting pixels see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.py <strong>labels: Global Human Settlement Layers, Population Grid 2015</strong> labels range from 0 to 31, with the following meaning:<br> label value original value in GEE dataset<br> 0 0<br> 1 1-10<br> 2 11-20<br> 3 21-30<br> ...<br> 31 &gt;=291 see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1 see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py <pre><code>_aschips.geojson the image chips geometries along with label proportions for easy visualization with QGIS, GeoPandas, etc. _communes.geojson the communes geometries with their label prortions for easy visualization with QGIS, GeoPandas, etc. splits.csv contains two splits of image chips in train, test, val - with geographical bands at 45° angles in nw-se direction - the same as above reorganized to that all chips within the same commune fall within the same split. data/ a pickle file for each image chip containing a dict with - the 100x100 RGB sentinel 2 chip image - the 100x100 chip level lavels - the label proportions of the chip - the aggregated label proportions of the commune the chip belongs to </code></pre>
DOI: 10.5281/zenodo.7939348
title: Sentinel2 RGB chips over BENELUX with JRC GHSL Population Density 2015 for Learning with Label Proportions

description: Region of Interest (ROI) is comprised of the Belgium, the Netherlands and Luxembourg We use the communes adminitrative division which is standardized across Europe by EUROSTAT at:<br> https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units<br> This is roughly equivalent to the notion municipalities in most countries. From the link above, communes definition are taken from COMM_RG_01M_2016_4326.shp and country borders<br> are taken from NUTS_RG_01M_2021_3035.shp. <strong>images: Sentinel2 RGB from 2020-01-01 to 2020-31-12</strong><br> filtered out pixels with clouds acoording to QA60 band following the example<br> given in GEE dataset info page at:<br> see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.py <strong>labels: Global Human Settlement Layers, Population Grid 2015</strong> labels range from 0 to 31, with the following meaning:<br> label value original value in GEE dataset<br> 0 0<br> 1 1-10<br> 2 11-20<br> 3 21-30<br> ...<br> 31 &gt;=291 see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1 see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py<br> <pre><code>_aschips.geojson the image chips geometries along with label proportions for easy visualization with QGIS, GeoPandas, etc. _communes.geojson the communes geometries with their label prortions for easy visualization with QGIS, GeoPandas, etc. splits.csv contains two splits of image chips in train, test, val - with geographical bands at 45° angles in nw-se direction - the same as above reorganized to that all chips within the same commune fall within the same split. data/ a pickle file for each image chip containing a dict with - the 100x100 RGB sentinel 2 chip image - the 100x100 chip level lavels - the label proportions of the chip - the aggregated label proportions of the commune the chip belongs to </code></pre>
DOI: 10.5281/zenodo.7939347
title: Sentinel2 RGB chips over BENELUX with JRC GHSL Population Density 2015 for Learning with Label Proportions

description: Region of Interest (ROI) is comprised of the Belgium, the Netherlands and Luxembourg We use the communes adminitrative division which is standardized across Europe by EUROSTAT at:<br> https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units<br> This is roughly equivalent to the notion municipalities in most countries. From the link above, communes definition are taken from COMM_RG_01M_2016_4326.shp and country borders<br> are taken from NUTS_RG_01M_2021_3035.shp. <strong>images: Sentinel2 RGB from 2020-01-01 to 2020-31-12</strong><br> filtered out pixels with clouds acoording to QA60 band following the example<br> given in GEE dataset info page at:<br> see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.py <strong>labels: Global Human Settlement Layers, Population Grid 2015</strong> labels range from 0 to 31, with the following meaning:<br> label value original value in GEE dataset<br> 0 0<br> 1 1-10<br> 2 11-20<br> 3 21-30<br> ...<br> 31 &gt;=291 see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1 see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py<br> <pre><code>_aschips.geojson the image chips geometries along with label proportions for easy visualization with QGIS, GeoPandas, etc. _communes.geojson the communes geometries with their label prortions for easy visualization with QGIS, GeoPandas, etc. splits.csv contains two splits of image chips in train, test, val - with geographical bands at 45° angles in nw-se direction - the same as above reorganized to that all chips within the same commune fall within the same split. data/ a pickle file for each image chip containing a dict with - the 100x100 RGB sentinel 2 chip image - the 100x100 chip level lavels - the label proportions of the chip - the aggregated label proportions of the commune the chip belongs to </code></pre>
DOI: 10.34740/kaggle/dsv/5711156
title: "Corporate Landscape: 8K+ glassdoord dataset"
DOI: 10.5281/zenodo.7946870
title: Automatic speech recognition datasets for Gronings, Nasal, and Besemah

description: Automatic speech recognition datasets for Gronings, Nasal, and Besemah for experiments reported in Bartelds, San, McDonnell, Jurafsky and Wieling (2023). <em>Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation</em>. ACL 2023. Model training code available at: https://github.com/Bartelds/asr-augmentation
DOI: 10.5281/zenodo.7946869
title: Automatic speech recognition datasets for Gronings, Nasal, and Besemah

description: Automatic speech recognition datasets for Gronings, Nasal, and Besemah for experiments reported in Bartelds, San, McDonnell, Jurafsky and Wieling (2023). <em>Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation</em>. ACL 2023. Model training code available at: https://github.com/Bartelds/asr-augmentation
DOI: 10.6084/m9.figshare.21067729
title: Molecular systematic analysis demonstrates that the threatened southern bell frog, Litoria raniformis (Anura: Pelodryadidae) of eastern Australia, comprises two sub-species.Untitled Item

description: DNA sequences and statistics are accessible from Diversity Array Technology Pty. Ltd., Canberra, Australia (Reports - DFr16-214 and DFr13-1300) and the genotype matrix. Mitochondrial DNA alignments for the short <em>COI</em> and <em>ND4</em> fragments. Supplementary Text: Bioacoustics
DOI: 10.6084/m9.figshare.14708781
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S3_S4_Call_parameters.pdf

description: Mating call parameters
DOI: 10.6084/m9.figshare.14708781.v1
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S3_S4_Call_parameters.pdf

description: Mating call parameters
DOI: 10.6084/m9.figshare.14708784
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S2_Heleioporus_Raw_Measurements_DFAscores_posteriors_21May2021.xlsx

description: Morphological measurements
DOI: 10.6084/m9.figshare.14708784.v1
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S2_Heleioporus_Raw_Measurements_DFAscores_posteriors_21May2021.xlsx

description: Morphological measurements
DOI: 10.6084/m9.figshare.14708787
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S1_Heleioporus_SNP_PCoAscores_%missingdata_NewHybrids_assignments.pdf

description: Single nucleotide data and PCoA.
DOI: 10.6084/m9.figshare.14708787.v1
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Table_S1_Heleioporus_SNP_PCoAscores_%missingdata_NewHybrids_assignments.pdf

description: Single nucleotide data and PCoA.
DOI: 10.6084/m9.figshare.14708790
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Information_Dominant_Frequency.pdf

description: Mating calls. Dominant Frequencies in different populations
DOI: 10.6084/m9.figshare.14708790.v1
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Information_Dominant_Frequency.pdf

description: Mating calls. Dominant Frequencies in different populations
DOI: 10.6084/m9.figshare.14708793
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Information_Conservation_Assessment.pdf

description: Conservation assessment of the two taxa using IUCN criteria
DOI: 10.6084/m9.figshare.14708793.v1
title: Mahony_et_al_Revision_of_eastern_Australian_Heleioporus_Supplementary_Information_Conservation_Assessment.pdf

description: Conservation assessment of the two taxa using IUCN criteria
DOI: 10.15151/esrf-es-1076530479
title: Shedding light on the microbial dark matter with photons from Synchrotron radiation: structural biology of mesocosms by an explorative pipe

description: The microbial world is constantly shaping the planet by governing the carbon, nitrogen, and sulfur cycles. While recent developments in “omics” opened a window of the complexity of this world, it is still problematic to attribute a function to a gene product or predict enzymatic reactions simply from its sequence. Then, how can enzymes be studied from uncultivated microbes? In this proposal, we are using an explorative approach to open a new field: the structural elucidation of catabolic enzymes from microbial mesocosms. We will study two models, an anaerobic bioreactor containing a methane-degrading consortium, and a microbial community from wastewater treatment. As a proof of concept, we recently isolated, crystallized, and structurally characterized the methane-generating enzyme from an archaeon living in this activated sludge. Now, we will go beyond and isolate more enzymes of catabolic pathways from these "microbial dark matter", playing a key role in thecarbon cycle.
DOI: 10.17632/fgw25tgfmw.2
title: Replication data: Pushing one’s luck: Petroleum ownership and discoveries

description: The files contain the replication data and replication instructions (as STATA files) that replicate the results presented in the article: 
Brunnschweiler, Christa and Steven Poelhekke (2021), Pushing One's Luck: Petroleum ownership and discoveries, Journal of Environmental Economics and Management 109: 102506. doi: 10.1016/j.jeem.2021.102506

The files also allow replication of the results in the Online Appendix linked to this paper.
DOI: 10.5281/zenodo.7945490
title: Trait mindfulness and low dose mindfulness intervention

description: Dataset examining trait mindfulness and low dose mindfulness intervention
DOI: 10.5281/zenodo.7945489
title: Trait mindfulness and low dose mindfulness intervention

description: Dataset examining trait mindfulness and low dose mindfulness intervention
DOI: 10.25952/zseb-tm35
title: Conflict and Control in Cortical Responses to Inconsistent Emotional Signals in a Face-Word Stroop

description: The data included consists of electroencephalogram (EEG) data collected from a 64 channel EEH cap and; <br />

Evoked visual potentials (EVP) arising during the affective face word Stroop paradigm (AFWS).<br />

The data were collected from a government organisation undergoing change located on the Gold Coast Qld between October 2018 and March 2019.
description: The data included consists of electroencephalogram (EEG) data collected from a 64 channel EEH cap and; <br />

Evoked visual potentials (EVP) arising during the affective face word Stroop paradigm (AFWS).<br />

The data were collected from a government organisation undergoing change located on the Gold Coast Qld between October 2018 and March 2019.
DOI: 10.34740/kaggle/dsv/5711530
title: US counties COVID 19 dataset
DOI: 10.5517/ccdc.csd.cc2fd589
title: CCDC 2246020: Experimental Crystal Structure Determination

description: Related Article: Ya Xiong, Meiming Luo, Xiaoming Zeng|2023|Org.Lett.|25|3120|doi:10.1021/acs.orglett.3c00979
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fd59b
title: CCDC 2246021: Experimental Crystal Structure Determination

description: Related Article: Ya Xiong, Meiming Luo, Xiaoming Zeng|2023|Org.Lett.|25|3120|doi:10.1021/acs.orglett.3c00979
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15454/3pqx6r
title: Leaf metabolomic data from hybrids of the maize ZB13 panel

description: Leaf biochemical and LC-MS-based metabolomic data from hybrids of the ZB13 panel of AMAIZING project
DOI: 10.17596/0002217
title: Subduction Philippine Sea plate geometry

description: This is the page for introducing the geometry of subducting Philippine Sea plate constructed based on results deduced from seismic surveys conducted by 'Research project for compound disaster mitigation on the great earthquakes and tsunamis around the Nankai trough region' funded by Ministry of Education, Culture, Sports, Science and Technology, Japan.
DOI: 10.17596/0002136
title: Long-Term Borehole Monitoring System Continuous Data

description: JAMSTEC Ocean-bottom Seismology Database (J-SEIS) allows researchers to download continuous data of Long-term borehole Monitoring system. User registration is needed through the web page of https://join-web.jamstec.go.jp/join-portal/en/user-registration . Common DOI is used for three stations.
DOI: 10.17596/0000107
title: Global Seismic Traveltime Database

description: Creator was changed from "Department of Deep Earth Structure and Dynamics Research/JAMSTEC" to "Volcanoes and Earth's Interior Research Center, Research Institute for Marine Geodynamics/JAMSTEC" due to organizational reconstructing in April 2019.
description: We have constructed a data base of seismic traveltimes, which was used to improve our seismic tomography model. We measured absolute arrival times of several seismic phases such as P, PcP, S etc by manual picking and differential travel times between PP and P and differential travel times of P-wave between two stations using waveform cross-correlation method. We use both of broadband and short period waveform data collected from all over the world including ocean bottom seismometers. At present, we have measured totally about 80,000 of various types of traveltimes.