cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/9a1ccf227e9f4bc4c34d310487a3cbc0
title: Biodiversity - Fauna - Bird Survey (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bes/543/170. The abstract below was extracted from the Level 0 data package and is included for context: This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The database consists of four tables. Sites, Surveys, Taxalist, and Birds. Sites records thje sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: The tables form a set. Here are the fields and relationship information: Surveys: site_id FK-&gt;Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK-&gt;surveys[survey_id] site_id FK-&gt;surveys[site_id] species_id FK-&gt;taxalist[species_id] distance bird_count seen heard direction time_class
DOI: 10.5517/ccdc.csd.cc283d3x
title: CCDC 2088628: Experimental Crystal Structure Determination

description: Related Article: Daniel Podgornii, Jan van Leusen, Victor Ch. Kravtsov, Paul Kögerler, Svetlana G. Baca|2021|CrystEngComm|23|5153|doi:10.1039/D1CE00777G
DOI: 10.5517/ccdc.csd.cc283j1z
title: CCDC 2088750: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j20
title: CCDC 2088751: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j31
title: CCDC 2088752: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j42
title: CCDC 2088753: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j53
title: CCDC 2088754: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j64
title: CCDC 2088755: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j75
title: CCDC 2088756: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j86
title: CCDC 2088757: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283j97
title: CCDC 2088758: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283jb8
title: CCDC 2088759: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc283jc9
title: CCDC 2088760: Experimental Crystal Structure Determination

description: Related Article: Regina Drescher, Leonie Wüst, Cornelius Mihm, Ivo Krummenacher, Alexander Hofmann, James Goettel, Holger Braunschweig|2021|Dalton Trans.|50|10400|doi:10.1039/D1DT01897C
DOI: 10.5517/ccdc.csd.cc25d4rh
title: CCDC 2007676: Experimental Crystal Structure Determination

description: Related Article: Yanping Zheng, Wanli Zhou, Xuekun Liu, Gang Yuan, Jun Peng|2021|Electrochimica Acta|391|138930|doi:10.1016/j.electacta.2021.138930
DOI: 10.5281/zenodo.5160769
title: Spike variant predictions

description: Spike variant glycosylation predictions. (spike_mut_idx.v3.xlsx) &gt; Glycoimpact*: likelihood the glycosylation of a proximal site is perturbed &gt; mannoseDist*: aggregate Fisher log-OR for any high-mannose (&gt;5mannose) structure (taken from IMRs). LIkelihood high-mannose structures, in general, will increase or decrease &gt; IMR - Expected Change: a combination of proximity information with mannoseDist to estimate joint effect &gt; IMR/InSaNNE prediction: predictions of differential glycosylation from IMRs or InSaNNE respectively *_seq refers to sequence-based predictions, _str refers to structure-based predictions Generating R code is also provided without raw-data ----- Update v4: Mannose/Complex column updated to Mannose/ Complex+hybrid in v5 v5: Mannose+hybrid / Complex column added (one prediction changed). This column is more relevant to the validation MS observation. --- Added 8/4/2021 &gt; Results_untilGamma...xlsx Quantified using label-free analysis, which is semi-quantitative. We use precursor (peptide/MS1) peak area for quantitation, the spectral counts are also included. Peptide numbers, which give you the extent of sampling at each N-glycosylation site. We use Mean +/- SEM for the proportions of N-glycan variants (unoccupied, complex and high-mannose/hybrid). Other column headings should be self-explanatory, but please let me know if in doubt. The “Result” sheet is what you should look at. Other sheets are “raw” results. The first sheet “Sequences”, has all the sequence information. The color-coding is the regular one for N-glycans.
DOI: 10.5281/zenodo.5156954
title: Spike variant predictions

description: Spike variant glycosylation predictions. (spike_mut_idx.v3.xlsx) &gt; Glycoimpact*: likelihood the glycosylation of a proximal site is perturbed &gt; mannoseDist*: aggregate Fisher log-OR for any high-mannose (&gt;5mannose) structure (taken from IMRs). LIkelihood high-mannose structures, in general, will increase or decrease &gt; IMR - Expected Change: a combination of proximity information with mannoseDist to estimate joint effect &gt; IMR/InSaNNE prediction: predictions of differential glycosylation from IMRs or InSaNNE respectively *_seq refers to sequence-based predictions, _str refers to structure-based predictions Generating R code is also provided without raw-data ----- Update v4: Mannose/Complex column updated to Mannose/ Complex+hybrid in v5 v5: Mannose+hybrid / Complex column added (one prediction changed). This column is more relevant to the validation MS observation. --- Added 8/4/2021 &gt; Results_untilGamma...xlsx Quantified using label-free analysis, which is semi-quantitative. We use precursor (peptide/MS1) peak area for quantitation, the spectral counts are also included. Peptide numbers, which give you the extent of sampling at each N-glycosylation site. We use Mean +/- SEM for the proportions of N-glycan variants (unoccupied, complex and high-mannose/hybrid). Other column headings should be self-explanatory, but please let me know if in doubt. The “Result” sheet is what you should look at. Other sheets are “raw” results. The first sheet “Sequences”, has all the sequence information. The color-coding is the regular one for N-glycans.
DOI: 10.6073/pasta/1d2c38451cfc2f8de3f26f4b9140db58
title: Biodiversity - Fauna - Bird Survey (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/191/4, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bes/543/170. The abstract below was extracted from the Level 0 data package and is included for context: This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The database consists of four tables. Sites, Surveys, Taxalist, and Birds. Sites records thje sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute information: The tables form a set. Here are the fields and relationship information: Surveys: site_id FK-&gt;Sites[site_id] survey_id survey_date time_start time_end observer wind_speed wind_dir air_temp temp_units cloud_cover notes Sites: site_id park_code park_district park_name point_code point_location park_acreage Taxalist: species_id common_name Birds: survey_id FK-&gt;surveys[survey_id] site_id FK-&gt;surveys[site_id] species_id FK-&gt;taxalist[species_id] distance bird_count seen heard direction time_class
DOI: 10.25919/acgt-mz13
title: Ethereum Data from (Dec 2017 - Sep 2020)

description: Data from our modified Geth client used with http://ethviewer.live. Contains block, uncles, transactions (1st arrival to transaction pool and in blocks), addresses, and smart contracts data from public Ethereum network. Data between blocks 4,728,040 (2017-12-13) to 10,859,203 (2020-09-14). There are periods of missing data due to node failures and Geth client updates.
DOI: 10.5281/zenodo.5160931
title: Agility and change-of-direction speed are two different abilities also during the execution of repeated trials and in fatigued conditions. DATASET

description: Raw dataset for the above-mentioned original research article
DOI: 10.5281/zenodo.5160930
title: Agility and change-of-direction speed are two different abilities also during the execution of repeated trials and in fatigued conditions. DATASET

description: Raw dataset for the above-mentioned original research article
DOI: 10.6084/m9.figshare.15109161
title: Confluence Data

description: BT474 human breast carcinoma cells were obtained from American Type Culture Collection (ATCC, Manassas, VA). The cells were grown in Dulbecco's modified eagle medium (DMEM, Thermo Fisher Scientific Inc., Waltham, MA) supplemented with 10% fetal bovine serum (FBS, Sigma-Aldrich, St. Louis, MO) 1% L-glutamine (Thermo Fisher Scientific Inc.), and 1% Penicillin Streptomycin (Thermo Fisher Scientific Inc.) in 5% CO_2 and air at 37C. <br>D-(+)-glucose solution (Sigma-Aldrich) was added to glucose free DMEM to yield media with glucose concentrations of 2, 5, and 10 mM, which was not replenished during the experiments. For each glucose level there were three initial seeding densities, each with four replicates. Cells were seeded at a density of 3.5x10^4, 5.0x10^4 and 6.0x10^4 cells/well on a 96-well tissue culture plate.
DOI: 10.6084/m9.figshare.15109161.v1
title: Confluence Data

description: BT474 human breast carcinoma cells were obtained from American Type Culture Collection (ATCC, Manassas, VA). The cells were grown in Dulbecco's modified eagle medium (DMEM, Thermo Fisher Scientific Inc., Waltham, MA) supplemented with 10% fetal bovine serum (FBS, Sigma-Aldrich, St. Louis, MO) 1% L-glutamine (Thermo Fisher Scientific Inc.), and 1% Penicillin Streptomycin (Thermo Fisher Scientific Inc.) in 5% CO_2 and air at 37C. <br>D-(+)-glucose solution (Sigma-Aldrich) was added to glucose free DMEM to yield media with glucose concentrations of 2, 5, and 10 mM, which was not replenished during the experiments. For each glucose level there were three initial seeding densities, each with four replicates. Cells were seeded at a density of 3.5x10^4, 5.0x10^4 and 6.0x10^4 cells/well on a 96-well tissue culture plate.
DOI: 10.5281/zenodo.5160942
title: Supporting data for Optimal closed-loop wake steering, Part 2: Diurnal cycle atmospheric boundary layer conditions

description: Supporting data for "Optimal closed-loop wake steering, Part 2: Diurnal cycle atmospheric boundary layer conditions" by Michael F. Howland, Aditya S. Ghate, Jesús Bas Quesada, Juan José Pena Martínez, Wei Zhong, Felipe Palou Larrañaga, Sanjiva K. Lele, and John O. Dabiri See README for data description. The code is available at: https://github.com/FPAL-Stanford-University/PadeOps
DOI: 10.6073/pasta/b652fafdf8fc3e5690b5dd392b28f99a
title: North Temperate Lakes LTER: High Frequency Meteorological - Trout Lake Buoy2 - ADCP 2005 - 2006

description: This instrumented buoy on Trout Lake is equipped with a thermistor chain and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, and lake metabolism. An acoustic Doppler current profiler (ADCP) is associated with this buoy. Data are usually collected every 10 minutes with occasional periods of 2 minute data for short periods to answer specific questions. The thermistors are placed every 0.5-1m from the surface through 13m, and meteorological sensors measure relative humidity, air temperature and wind parameters. In the fall of 2005, the buoy also included 4 Greenspan dissolved oxygen sensors placed at depths from the lake surface to 10m. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Sampling Frequency: varies for instantaneous sample. averaged to hourly and daily values from one minute samples Number of sites: 1
DOI: 10.6073/pasta/8ef35ba85ee32a438f689daded778254
title: North Temperate Lakes LTER: High Frequency Water Temperature Data - Trout Lake Buoy2 - ADCP 2005 - 2006

description: This instrumented buoy on Trout Lake is equipped with a thermistor chain that measures water temperature from depths placed every 0.5-1m from the surface through 13m. The Trout Lake buoy is also equipped with meteorological sensors that provide fundamental information on lake thermal structure and weather conditions. An acoustic Doppler current profiler (ADCP) is associated with this buoy. Data are usually collected every 10 minutes with occasional periods of 2 minute data for short periods to answer specific questions. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Sampling Frequency: varies for instantaneous sample. averaged to hourly and daily values from one minute samples Number of sites: 1
DOI: 10.13011/m3-6ng0-yw81
title: CHiMaD Nucleation Benchmark Problem Set
DOI: 10.5517/ccdc.csd.cc26gzl8
title: CCDC 2040190: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Pei Zhao, Jun-Ling Jin, Jun Han, Chen Liu, Zheng Liu, Masahiro Ehara, Yun-Peng Xie, Xing Lu|2021|Dalton Trans.|50|10561|doi:10.1039/D1DT01111A
DOI: 10.5517/ccdc.csd.cc26gznb
title: CCDC 2040192: Experimental Crystal Structure Determination

description: Related Article: Yang-Lin Shen, Pei Zhao, Jun-Ling Jin, Jun Han, Chen Liu, Zheng Liu, Masahiro Ehara, Yun-Peng Xie, Xing Lu|2021|Dalton Trans.|50|10561|doi:10.1039/D1DT01111A
DOI: 10.5517/ccdc.csd.cc27mz95
title: CCDC 2074777: Experimental Crystal Structure Determination

description: Related Article: Wanshu Wang, Song Zhou, Linjie Li, Yuanhang He, Xue Dong, Lu Gao, Qiantao Wang, Zhenlei Song|2021|J.Am.Chem.Soc.|143|11141|doi:10.1021/jacs.1c04667
DOI: 10.5517/ccdc.csd.cc28672t
title: CSD 2091355: Experimental Crystal Structure Determination

description: Related Article: Z. Shi, W. Shao, X. Xing, X. Ren, Y. Zhou, Q. Yang|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|649|doi:10.1107/S2052520621006533
DOI: 10.5281/zenodo.4604561
title: Recombination processes in intrinsic and p-doped low-threshold 1.3 µm InAs-based quantum dot lasers on silicon

description: Data for the paper with the following abstract. On-chip lasers are a key component for the realization of silicon photonics. The performance of silicon-based quantum dot (QD) devices is approaching equivalent QDs on native substrates. To drive forward design optimization we investigated the temperature and pressure dependence of intrinsic and modulation p-doped 1.3 μm InAs dot-in-well (DWELL) laser diodes on on-axis silicon substrates for comparison with devices on GaAs substrates. The silicon-based devices demonstrated low room temperature (RT) threshold current densities (<em>J<sub>th</sub></em>) of 192 Acm<sup>-2</sup> (538 Acm<sup>-2</sup>) intrinsic (p-doped). Intrinsic devices exhibited temperature stable operation from 170-200 K. Above this, <em>J<sub>th</sub></em> increased more rapidly due to increased non-radiative recombination. P-doping increased the temperature at which <em>J<sub>th</sub>(T)</em> started to increase to 300 K with a temperature insensitive region close to RT, but with a higher <em>J<sub>th</sub></em>. A strong correlation was found between the temperature dependence of gain spectrum broadening and the radiative component of threshold <em>J<sub>rad</sub>(T)</em>. At low temperature this is consistent with strong inhomogeneous broadening of the carrier distribution, which is more pronounced in the p-doped devices. At higher temperatures <em>J<sub>th</sub></em> increases due to homogeneous thermal broadening coupled with non-radiative recombination. Hydrostatic pressure investigations indicate that while defect-related recombination dominates, radiative and Auger recombination also contribute to <em>J<sub>th</sub></em>.
description: This data relates to the paper published as: dot at https://doi.org/10.1109/JSTQE.2021.3101293
DOI: 10.5281/zenodo.4604560
title: Recombination processes in intrinsic and p-doped low-threshold 1.3 µm InAs-based quantum dot lasers on silicon

description: Data for the paper with the following abstract. On-chip lasers are a key component for the realization of silicon photonics. The performance of silicon-based quantum dot (QD) devices is approaching equivalent QDs on native substrates. To drive forward design optimization we investigated the temperature and pressure dependence of intrinsic and modulation p-doped 1.3 μm InAs dot-in-well (DWELL) laser diodes on on-axis silicon substrates for comparison with devices on GaAs substrates. The silicon-based devices demonstrated low room temperature (RT) threshold current densities (<em>J<sub>th</sub></em>) of 192 Acm<sup>-2</sup> (538 Acm<sup>-2</sup>) intrinsic (p-doped). Intrinsic devices exhibited temperature stable operation from 170-200 K. Above this, <em>J<sub>th</sub></em> increased more rapidly due to increased non-radiative recombination. P-doping increased the temperature at which <em>J<sub>th</sub>(T)</em> started to increase to 300 K with a temperature insensitive region close to RT, but with a higher <em>J<sub>th</sub></em>. A strong correlation was found between the temperature dependence of gain spectrum broadening and the radiative component of threshold <em>J<sub>rad</sub>(T)</em>. At low temperature this is consistent with strong inhomogeneous broadening of the carrier distribution, which is more pronounced in the p-doped devices. At higher temperatures <em>J<sub>th</sub></em> increases due to homogeneous thermal broadening coupled with non-radiative recombination. Hydrostatic pressure investigations indicate that while defect-related recombination dominates, radiative and Auger recombination also contribute to <em>J<sub>th</sub></em>.
description: This data relates to the paper published as: dot at https://doi.org/10.1109/JSTQE.2021.3101293
DOI: 10.15468/37t7v6
title: Peaceful giant ground beetles: The genus Tefflus Latreille (Coleoptera: Carabidae) in the Republic of South Africa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mawdsley, Jonathan R., Sithole, Hendrik, Mawdsley, Alice S. (2011): Peaceful giant ground beetles: The genus Tefflus Latreille (Coleoptera: Carabidae) in the Republic of South Africa. Insecta Mundi 2011 (181): 1-7, DOI: http://doi.org/10.5281/zenodo.5161042
DOI: 10.15468/r8susj
title: Three new species of Goera Stephens (Trichoptera: Goeridae) from Sulawesi, Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Armitage, Arefina-Armitage, Tatiana I. (2011): Three new species of Goera Stephens (Trichoptera: Goeridae) from Sulawesi, Indonesia. Insecta Mundi 2011 (186): 1-10, DOI: http://doi.org/10.5281/zenodo.5161134