cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1psbh9
title: CCDC 1572521: Experimental Crystal Structure Determination

description: Related Article: Dai Oyama, Ryosuke Abe, Tsugiko Takase|2017|Coord.Chem.Rev.|375|424|doi:10.1016/j.ccr.2017.11.024
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: 10.7483/opendata.cms.67jm.nse0
title: /ZZTo4tau_8TeV_mll8_mZZ95-160-powheg15-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.7r5k.dz6b
title: /ZZTo4tau_8TeV-powheg-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.8bmz.rc8e
title: /ZZTo4eJJ_Contin_8TeV-phantom-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.hj1f.5u9r
title: /ZZTo4mu_8TeV-powheg-pythia6/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.7483/opendata.cms.llaw.1555
title: /ZZTo4mu_8TeV_mll8_mZZ95-160-powheg15-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.o2vm.lpnd
title: /ZZTo4eJJ_SMHContinInterf_M-125p6_8TeV-phantom-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.qbw4.agtq
title: /ZZTo4muJJ_Contin_8TeV-phantom-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7483/opendata.cms.zwoy.u26k
title: /ZZTo4muJJ_SMHContinInterf_M-125p6_8TeV-phantom-pythia6/Summer12_DR53X-PU_S10_START53_V19-v1/AODSIM
DOI: 10.7281/t1474819
title: Sloan Digital Sky Survey SkyServer SDSS Data Release 1 (DR1)

description: The Sloan Digital Sky Survey (see www.sdss.org for general information) will map one-quarter of the entire sky and perform a redshift survey of galaxies, quasars and stars. The DR1 is the first major data release and provides images, imaging catalogs, spectra, and redshifts for download. As of September 27 2004, Data Release 3 (DR3) is available, with more sky coverage and better reductions. We strongly encourage you to use DR3 data. The DR1 site will be kept online for some time for historical reference. We discovered during testing of the DR1 data set that the photometric pipeline suffered from a bug in the computation of model magnitudes and scale radii. About DR1 explains the effect of the bug. DR3 contains a reprocessing of the DR1 data with a new version of the photometric pipeline. Please refer to the credits page for our sources of funding, participating institutions, how to acknowledge the use of SDSS data in your publications. Please also note how to refer to SDSS sources in your publications using the proper IAU nomenclature for SDSS sources.
DOI: 10.7483/opendata.cms.cdnw.3vb4
title: /ZZZNoGstarJets_8TeV-madgraph/Summer12_DR53X-PU_RD1_START53_V7N-v1/AODSIM
DOI: 10.6073/pasta/c399de03cb4c007bfd44cad099c14596
title: North Temperate Lakes LTER: Phytoplankton - Madison Lakes Area 1995 - current
DOI: 10.4225/61/5a3ae6d48570c
title: Soil Explorer: Victorian Background Soil Database

description: A publicly available database and interactive map presenting background soil concentrations for soil across Victoria. Naturally enriched background concentrations of metals and elements have been reported in soils of Victoria, Australia. Where natural enrichment is not accurately distinguished from anthropogenic impacts, soils can be inappropriately categorised as “contaminated waste”; resulting in unnecessary disposal to landfill. Publicly available and new background soil data was collated by RMIT University for the purpose of developing improved methods for estimation of background concentrations in soils. Ambient background concentrations are defined as the sum of the geogenic concentration of the element plus diffuse anthropogenic contamination that has been introduced from non-point sources (Panno et al., 2006, NEPC 2013). There is lack of consistency on what constitutes diffuse contamination or a point source. For the purpose of this research, ambient background concentrations include human contributions of contaminants through diffuse inputs such as atmospheric deposition of lead from the broad use of leaded fuels. However, lead impacts directly associated with an adjacent road (i.e. within 25 m of the road) were not considered representative of ambient background concentrations. Consistent with background studies undertaken across Europe, broad application of fertilisers during typical agricultural practices (excluding horticulture and application of biosolids), were considered representative of ambient background concentrations (Ottesen et al., 2013; Reimann et al., 2010; Saaltink et al., 2014).
DOI: 10.6073/pasta/643da447c17c6637f89086943f41ab66
title: Contribution of CO2 and CH4 emissions at ice-melt to annual emissions from 450 and 270
      lakes, respectively, 1986 to 2014
DOI: 10.7281/t10g3h9k
title: Sloan Digital Sky Survey SkyServer SDSS Data Release 2 (DR2)

description: The Sloan Digital Sky Survey released its second Data Release (DR2) in March 2004. DR2 is about 1.5 times the size of DR1 in spatial coverage. The photometric data in DR2 are based on five-band imaging observations of 3324 square degrees of sky, and include measures of 88 million unique objects.
Based on these photometric data, objects were selected for spectroscopy to a surface density of about 120 extragalactic candidates per square degree. DR2 includes these spectra, with derived spectroscopic parameters, for over 295,000 galaxies and quasars. Details of the Data Release 2 can be found at http://www.sdss.org/dr2/
DOI: 10.5281/zenodo.1120347
title: Data For: Presence-Absence Of Marine Macrozoobenthos Does Not Generally Predict Abundance And Biomass

description: This repository contains data for the paper: Bijleveld, A. I. et al. (2018) Presence-absence of marine macrozoobenthos does not generally predict abundance and biomass. Scientific Reports 8, 3039, doi:10.1038/s41598-018-21285-1.
DOI: 10.5281/zenodo.1120348
title: Data For: Presence-Absence Of Marine Macrozoobenthos Does Not Generally Predict Abundance And Biomass

description: This repository contains data for the paper: Bijleveld, A. I. et al. (2018) Presence-absence of marine macrozoobenthos does not generally predict abundance and biomass. Scientific Reports 8, 3039, doi:10.1038/s41598-018-21285-1.
DOI: 10.5517/ccdc.csd.cc1yvgx5
title: CCDC 1812908: Experimental Crystal Structure Determination

description: Related Article: Alexandre N. Sobolev, Brian W. Skelton, Mauro Mocerino|2017|CSD Communication|||
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.cc1yvl0d
title: CCDC 1813004: Experimental Crystal Structure Determination

description: Related Article: Katherine N. Robertson, Michael A. Land, Jason A. C. Clyburne|2017|CSD Communication|||
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: 10.5281/zenodo.1124940
title: Hiperc-Gpu-Cuda-Spinodal

description: Solution to the CHiMaD Phase Field benchmark problem on spinodal decomposition using CUDA, with a 9-point discrete Laplacian stencil
DOI: 10.5281/zenodo.1124941
title: Hiperc-Gpu-Cuda-Spinodal

description: Solution to the CHiMaD Phase Field benchmark problem on spinodal decomposition using CUDA, with a 9-point discrete Laplacian stencil
DOI: 10.25612/837.yreo8jpa5ran
title: Post-Harvey E. Coli Levels in Houston

description: Measurements of Escherichia coli (E. coli) levels in water and swab samples collected from various locations in Houston post-hurricane Harvey. Sampling was conducted by staff at the Houston Health Department and Baylor College of Medicine / New York Times. The geographic coordinates of sample locations, along with the seven year geometric mean for E. Coli levels at locations where the City of Houston conducts regular monitoring are also included in the data. This dataset contains public data. A superset of this dataset containing additional samples collected by researchers at Rice University is available on the Urban Data Platform, but access to it requires authorization for now.
DOI: 10.5281/zenodo.1095140
title: Roms Implementation For The Marquesas Archipelago Pt1

description: These data are the average outputs of the ROMS implementation used in the paper: Raapoto et al. 2017 "Modeling the wake of the Marquesas archipelago"
DOI: 10.5281/zenodo.1095141
title: Roms Implementation For The Marquesas Archipelago Pt1

description: These data are the average outputs of the ROMS implementation used in the paper: Raapoto et al. 2017 "Modeling the wake of the Marquesas archipelago"
DOI: 10.5281/zenodo.1120433
title: Roms Implementation For The Marquesas Archipelago Pt2

description: These data are the average outputs of the ROMS implementation used in the paper: Raapoto et al. 2017 "Modeling the wake of the Marquesas archipelago"
DOI: 10.5281/zenodo.1120434
title: Roms Implementation For The Marquesas Archipelago Pt2

description: These data are the average outputs of the ROMS implementation used in the paper: Raapoto et al. 2017 "Modeling the wake of the Marquesas archipelago"
DOI: 10.5281/zenodo.843011
title: Sanger Sequencing Of Pbmc Derived B Cells From Human Healthy Donor

description: Sanger sequencing of 117 PBMC- derived B cells from human healthy donor
DOI: 10.5281/zenodo.843012
title: Sanger Sequencing Of Pbmc Derived B Cells From Human Healthy Donor

description: Sanger sequencing of 117 PBMC- derived B cells from human healthy donor
DOI: 10.4225/08/5a3c52da083b8
title: OzWALD Gridded Environmental Data for Australia

description: Energy, water and carbon balance terms and vegetation properties estimated across Australia by ANU’s OzWALD model-data fusion system.
DOI: 10.5281/zenodo.1098527
title: Digital 3D Model Dataset From Thingiverse Data

description: Digital model data as STL files, acquired from thingiverse by random probing of available things. Geometrical analysis and rendering as PNG and GIF performed. Pre-sliced machine instructions as GCode generated using slic3r. AMF files are also part of the dataset, these files were generated from the STL files.
DOI: 10.6073/pasta/878bcbaf9daa7869834c073334ca830c
title: Contribution of CO2 and CH4 emissions at ice-melt to annual emissions from 450 and 270
      lakes, respectively, 1986 to 2014
DOI: 10.5281/zenodo.1098526
title: Digital 3D Model Dataset From Thingiverse Data

description: Digital model data as STL files, acquired from thingiverse by random probing of available things. Geometrical analysis and rendering as PNG and GIF performed. Pre-sliced machine instructions as GCode generated using slic3r. AMF files are also part of the dataset, these files were generated from the STL files.
DOI: 10.5281/zenodo.1124932
title: Koketal_Dustclimatefeedback_Ncomms2018_Data

description: This repository contains the climate model data needed to produce the figures in the main text of Kok et al., Global and regional importance of the direct dust-climate feedback, <em>Nature Communications</em>, 2018. These data are used by the Matlab scripts provided in https://github.com/jfkok/Koketal_DustClimateFeedback_NCOMMS2018_MatlabCode

This repository includes the following data:


	CESM_AVHRR_comparison.zip. This contains CESM model simulation data for the BASE-AVHRR and PHYS-AVHRR runs. This archive also contains the file tnatl.dust, which was obtained from the https://doi.pangaea.de/10.1594/PANGAEA.855141 archive that accompanied Evan and Mukhopadhyay (2010). These data are used in Fig. 1a.
	AERONET_data.zip. This contains the AERONET data files used in the Matlab scripts (see above) to generate Fig. 1b in the main text.
	CESM_AERONET_comparison.zip. This contains the daily-averaged CESM simulation data for the BASE-AERONET and PHYS-AERONET simulations. These data are used in the Matlab scripts to produce Fig. 1b.
	CLM4-CN_future.zip. This contains the annually-averaged CLM4-CN simulation data from the BASE-Future and PHYS-Future simulations. This file also contains the ECHAM5 forcing files used to drive CLM4-CN.
DOI: 10.5281/zenodo.1124933
title: Koketal_Dustclimatefeedback_Ncomms2018_Data

description: This repository contains the climate model data needed to produce the figures in the main text of Kok et al., Global and regional importance of the direct dust-climate feedback, <em>Nature Communications</em>, 2018. These data are used by the Matlab scripts provided in https://github.com/jfkok/Koketal_DustClimateFeedback_NCOMMS2018_MatlabCode

This repository includes the following data:


	CESM_AVHRR_comparison.zip. This contains CESM model simulation data for the BASE-AVHRR and PHYS-AVHRR runs. This archive also contains the file tnatl.dust, which was obtained from the https://doi.pangaea.de/10.1594/PANGAEA.855141 archive that accompanied Evan and Mukhopadhyay (2010). These data are used in Fig. 1a.
	AERONET_data.zip. This contains the AERONET data files used in the Matlab scripts (see above) to generate Fig. 1b in the main text.
	CESM_AERONET_comparison.zip. This contains the daily-averaged CESM simulation data for the BASE-AERONET and PHYS-AERONET simulations. These data are used in the Matlab scripts to produce Fig. 1b.
	CLM4-CN_future.zip. This contains the annually-averaged CLM4-CN simulation data from the BASE-Future and PHYS-Future simulations. This file also contains the ECHAM5 forcing files used to drive CLM4-CN.
DOI: 10.6073/pasta/11c1f0ed631c1a2427dea11879076111
title: Florida Bay Braun Blanquet, Everglades National Park (FCE), South Florida from October 2000 to Present
DOI: 10.6073/pasta/608dfa3320fbf68708c3fc2e51b9879b
title: Florida Bay Braun Blanquet, Everglades National Park (FCE), South Florida from October 2000 to Present
DOI: 10.7799/1414279
title: Electrification Futures Study Technology Data

description: This data supplements the "Electrification Futures Study: End-Use Electric Technology Cost and Performance Projections through 2050" report. The data included here consist of the cost and performance estimates for electric end-use technologies developed for the three sensitivity cases in the Electrification Futures Study: Slow Advancement, Moderate Advancement, and Rapid Advancement.
DOI: 10.4225/08/5a3ca7d3859d6
title: Parkes observations for project P944 semester 2017APRS_BPSR_05

description: We propose here to search for new young pulsars in the SMC.  Our strategy is to target nine new, optically verified, SNR remnants from the XMM Newton survey of the SMC.  Detecting a single pulsar associated with a SNR in the SMC will provide important insights about the nature of the pulsar population in the SMC and the progenitor stars that formed it.  In addition finding a young pulsar in a binary with a massive star will contribute to our understanding of the evolution of high mass X-ray binaries (HMXBs) in different metallicity environments and different galaxies, as well as the formation rates of double neutron star binaries.  Knowledge of the population of these sources will be crucial in the era of gravitational wave detections with Advanced Ligo and Virgo.  Therefore it is essential that we make the  deepest, most sensitive observations possible to either detect the young radio pulsars or place constraints on any radio emission associated with the candidate remnants.  To achieve this we propose to take a nine hour integration per target, resulting in a limiting flux density of 0.016 mJy - ultimately improving the limiting flux density of previous SMC surveys by a factor of two.
DOI: 10.5281/zenodo.1127803
title: The Classification Of Na Meo, A Hmong-Mien Language Of Vietnam

description: Abstract

Na Meo is a language spoken in a cluster of villages encompassing the northern Vietnam provinces of Lang Son, Cao Bang, and Bac Kan, as well as a single village in Tuyen Quang province (Nguyen 2007). Its existence as a divergent Hmong-Mien language has been noted by the Vietnamese government since 1975. However, Na Meo has remained very poorly documented, and is currently still listed as an unclassified language in Ethnologue (ISO 639-3 code [neo]) due to the lack of published data. The lengthiest published word list to date is that of Nguyen (2007), which has 67 Na Meo words in non-IPA orthography.

Within Tuyên Quang province, Na Meo is spoken only in the single village of Khuân Hẻ, Kim Quan commune, Yên Sơn district. In February 2014, I had personally collected nearly 400 lexical items from Na Meo of Khuân Hẻ. This Na Meo variety was previously undocumented, and the commune location is known only from Nguyen (2007). This variety is very similar to, and likely mutually intelligible with, the Na Meo data in Jerold Edmondson (n.d.). Edmondson (n.d.), a handwritten manuscript of about 500 lexical items of Na Meo, was the result of a field expedition in Cao Bang province during the late 1990’s, and the data in there has remained unpublished to date.

Following suggestions from Edmondson (p.c.) and Nguyen (2007) that Na Meo may likely be a Qiandong Miao (Central Miao) language belonging to the Hmongic branch of Hmong-Mien, I will support these claims by demonstrating lexical isoglosses and phonological features that are shared exclusively among Na Meo and Qiandong Miao languages, but not in other branches of Hmongic. Since Qiandong Miao includes diverse lects spoken mainly in Guizhou but also in neighboring Hunan and Guangxi provinces, I will then further compare Tuyen Quang and Cao Bang Na Meo with the Qiandong Miao dialects covered in Li (2000) and Chen (2013) to determine where in China the Na Meo speakers’ ancestors had most likely migrated from. Comparison shows that Na Meo is most similar to Southern Qiandong Miao dialects spoken in Guangxi province, a result of one of the many migrations that had brought various ethnic groups from southern China to northern Vietnam during the turbulent Qing Dynasty period.
DOI: 10.5281/zenodo.1127804
title: The Classification Of Na Meo, A Hmong-Mien Language Of Vietnam

description: Abstract

Na Meo is a language spoken in a cluster of villages encompassing the northern Vietnam provinces of Lang Son, Cao Bang, and Bac Kan, as well as a single village in Tuyen Quang province (Nguyen 2007). Its existence as a divergent Hmong-Mien language has been noted by the Vietnamese government since 1975. However, Na Meo has remained very poorly documented, and is currently still listed as an unclassified language in Ethnologue (ISO 639-3 code [neo]) due to the lack of published data. The lengthiest published word list to date is that of Nguyen (2007), which has 67 Na Meo words in non-IPA orthography.

Within Tuyên Quang province, Na Meo is spoken only in the single village of Khuân Hẻ, Kim Quan commune, Yên Sơn district. In February 2014, I had personally collected nearly 400 lexical items from Na Meo of Khuân Hẻ. This Na Meo variety was previously undocumented, and the commune location is known only from Nguyen (2007). This variety is very similar to, and likely mutually intelligible with, the Na Meo data in Jerold Edmondson (n.d.). Edmondson (n.d.), a handwritten manuscript of about 500 lexical items of Na Meo, was the result of a field expedition in Cao Bang province during the late 1990’s, and the data in there has remained unpublished to date.

Following suggestions from Edmondson (p.c.) and Nguyen (2007) that Na Meo may likely be a Qiandong Miao (Central Miao) language belonging to the Hmongic branch of Hmong-Mien, I will support these claims by demonstrating lexical isoglosses and phonological features that are shared exclusively among Na Meo and Qiandong Miao languages, but not in other branches of Hmongic. Since Qiandong Miao includes diverse lects spoken mainly in Guizhou but also in neighboring Hunan and Guangxi provinces, I will then further compare Tuyen Quang and Cao Bang Na Meo with the Qiandong Miao dialects covered in Li (2000) and Chen (2013) to determine where in China the Na Meo speakers’ ancestors had most likely migrated from. Comparison shows that Na Meo is most similar to Southern Qiandong Miao dialects spoken in Guangxi province, a result of one of the many migrations that had brought various ethnic groups from southern China to northern Vietnam during the turbulent Qing Dynasty period.
DOI: 10.5281/zenodo.1127808
title: The Angkuic Languages: A Preliminary Survey

description: Abstract

The Angkuic languages are an Austroasiatic subgroup belonging to the Palaungic branch, and consist of U, Hu, Mok (Muak Sa-aak), Man Met (Kemie), Va, Avala, Angku, and various other lects (Svantesson 1991). Angkuic languages are scattered across western Yunnan and eastern Shan State, Burma. The internal classification of Angkuic remains unclear and virtually unresearched. A poorly documented branch, no dictionaries or grammars currently exist for any Angkuic languages. Basic vocabulary word lists for Angkuic language varieties are scattered in various Chinese sources, while recent Western scholarship on Angkuic languages include Svantesson (1988, 1991) and Hall (2010). These are further supplemented by my 2014 field notes of Va and Avala.

In April 2014, I collected audio recordings and word lists from two previously undocumented Angkuic languages that I have named Northern Va and Southern Va. They are respectively spoken in Taihe and Zhenglong administrative villages, Mojiang County, Yunnan Province, China. Southern Va is spoken only by middle-age and elderly people, but not by children. It is the more phonologically conservative of the two and retains many sesquisyllabic prefixes, particularly /s-/, which are not retained in Northern Va. Northern Va, which is vigorously spoken by children as well, may have about 2,000 speakers, and for Southern Va, perhaps just under 1,000. The Va of Mojiang County are geographically isolated from other Austroasiatic-speaking groups, as no other Austroasiatic languages are spoken within perhaps a 100-km radius.

Another previously undocumented Angkuic language is Avala, spoken in Yun County, China. In April 2014, I was able to elicit about 30 lexical items from a single elderly rememberer of the language. Unfortunately, I was unable to find a fully fluent speaker of Avala, and if not moribund it is probably extinct. However, it is possible that a few fluent speakers may still remain in Yun County.

Drawing from geographical information given in various county gazetteers published by the Chinese government, I have mapped out over 70 geographical datapoints where Angkuic languages are (or once were) spoken. The distribution of these datapoints reveal that Angkuic languages are mostly distributed along the Mekong River (Lancang River) and its tributaries. Since Angkuic diversity is highest in Sipsongpanna and surroundings, Angkuic most likely originated in the south, and spread upstream along the Mekong River drainage basin, perhaps as "inertia" from the proto-Austroasiatic riverine dispersal (Sidwell & Blench 2011).

Angkuic data drawn from about a dozen sources will be tabulated and compared. Additionally, preliminary computationally generated phylogenetic trees and networks will also be presented.