cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cmw0x
title: CCDC 2193839: Experimental Crystal Structure Determination

description: Related Article: Saba Nadarkhani, Hamid Golchoubian, Atie Shirvan|2023|J.Mol.Struct.|1276|134801|doi:10.1016/j.molstruc.2022.134801
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.cc2clm0m
title: CCDC 2192630: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Bykov, Tatiana A. Shestimerova, Mikhail A. Bykov, Konstantin A. Lyssenko,  Vladislav M. Korshunov, Mikhail T. Metlin, Ilya V. Taydakov, Andrei V. Shevelkov|2022|Inorganics|10|181|doi:10.3390/inorganics10110181
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.cc2cjg9p
title: CCDC 2190562: Experimental Crystal Structure Determination

description: Related Article: Xiaoqi Tian, Kazutaka Shoyama, Frank Würthner|2023|Chemical Science|14|284|doi:10.1039/D2SC05409D
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.cc2cjgbq
title: CCDC 2190563: Experimental Crystal Structure Determination

description: Related Article: Xiaoqi Tian, Kazutaka Shoyama, Frank Würthner|2023|Chemical Science|14|284|doi:10.1039/D2SC05409D
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.cc2cxdnc
title: CCDC 2202043: Experimental Crystal Structure Determination

description: Related Article: Nathan M. Lui, Samantha N. MacMillan, David B. Collum|2022|J.Am.Chem.Soc.|144|23379|doi:10.1021/jacs.2c09341
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.cc2cxdpd
title: CCDC 2202044: Experimental Crystal Structure Determination

description: Related Article: Nathan M. Lui, Samantha N. MacMillan, David B. Collum|2022|J.Am.Chem.Soc.|144|23379|doi:10.1021/jacs.2c09341
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.cc2cxdqf
title: CCDC 2202045: Experimental Crystal Structure Determination

description: Related Article: Nathan M. Lui, Samantha N. MacMillan, David B. Collum|2022|J.Am.Chem.Soc.|144|23379|doi:10.1021/jacs.2c09341
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.cc2cxdrg
title: CCDC 2202046: Experimental Crystal Structure Determination

description: Related Article: Nathan M. Lui, Samantha N. MacMillan, David B. Collum|2022|J.Am.Chem.Soc.|144|23379|doi:10.1021/jacs.2c09341
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: 10.6073/pasta/8ebed2a2ac22a27b23e7ba98f10dcbb4
title: Size fractionation for total Chl a within the surface layer and calculated size distribution of total Chl a from discrete bottle samples from CCE-CalCOFI Augmented Cruises in the California Current System, 2004 - 2017 (ongoing).

description: Water for size fractionation of chlorophyll a is sampled from ~10m depth (surface layer) on Line 83 and 87, with scattered inshore stations within the CalCOFI and SCCOOS stations located in the CCE study area. The size distribution of total chlorophyll a is determined by filtering water though filters of differing pore sizes. These are then extracted in acetone and analyzed fluorometrically with Turner Designs 10-AU Fluorometer on CalCOFI cruises (since 2006, ongoing). Chlorophyll a and taxon-specific pigments (chlorophylls and carotenoids) are qualitatively and quantitatively characterized in the lab onshore by several size fractions (&lt; 1µm to &gt; 20µm) utilizing High Performance Liquid Chromatography (HPLC) analysis. The samples analyzed within the CCE region are used to develop a metric for phytoplankton community structure that can be used to monitor its state and changes thereof over time.
DOI: 10.6073/pasta/4d583713667a0f52b9d2937a26d0d82e
title: Photosynthetic pigments of water column samples and analyzed with High Performance Liquid Chromatography (HPLC), collected aboard Palmer LTER annual cruises off the coast of the Western Antarctica Peninsula, 1991 - 2016.

description: Phytoplankton pigment sampling was led by Prezelin from 1991-1994, and then by Vernet from 1995-2008. Schofield is the third, and current lead, beginning in 2009. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Phytoplankton have a suite of accessory pigments in addition to Chlorophyll a, including other Chlorophyll’s (e.g. Chlorophyll b), Xanthophylls, and Carotenes. These accessory pigments can be used as chemotaxonomic markers to assess the composition and distribution of the phytoplankton community. For example, Fucoxanthin is a marker pigment of Diatoms, whereas Alloxanthin is a marker pigment of Cryptophytes. Accessory pigments also assist in photoacclimation and photoprotective processes. Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where CTD casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship’s flow-through seawater system. Water samples are filtered onto GF/F filters, and filters kept frozen at -80C until analysis. HPLC analysis is completed following Wright et al (1991). Following the guidelines set by NASA SeaHARRE, we use an internal standard and replicate injects on the HPLC to track recovery and replicability of the pigment extraction methods and the HPLC. Data is unavailable for the LMG10-01 cruise due to instrumentation problems and for the LMG12-01 cruise due to a freezer failure which resulted in the loss of samples.
DOI: 10.6073/pasta/ec55e3d0d7260e1df98c9156f9becdeb
title: Photosynthetic pigments of water column samples analyzed using High Performance Liquid Chromatography (HPLC), sampled during the Palmer LTER field seasons at Palmer Station, Antarctica, 1991 – 2015.

description: Phytoplankton pigment sampling was led by Prezelin from the 1991-1992 season through the 1993-1994 season, and then by Vernet from the 1994-1995 season through the 2006-2007 season. Schofield is the third, and current lead, beginning in the 2008-2009 season. Methods have been kept consistent as much as possible over the full time series and different Principal Investigators. Phytoplankton have a suite of accessory pigments in addition to Chlorophyll a, including other Chlorophyll’s (e.g. Chlorophyll b), Xanthophylls, and Carotenes. These accessory pigments can be used as chemotaxonomic markers to assess the composition and distribution of the phytoplankton community. For example, Fucoxanthin is a marker pigment of Diatoms, whereas Alloxanthin is a marker pigment of Cryptophytes. Accessory pigments also assist in photoacclimation and photoprotective processes. Water samples are collected throughout the water column at stations within the Palmer LTER region (primarily B and E, to 50m and 65m respectively). Water samples are filtered onto GF/F filters, and filters kept frozen at -80C until analysis. HPLC analysis is completed following Wright et al (1991). Following the guidelines set by NASA SeaHARRE, we use an internal standard and replicate injects on the HPLC to track recovery and replicability of the pigment extraction methods. Data is unavailable for the Palmer 2009-2010 season due to instrumentation problems and for the Palmer 2011-2012 season due to a freezer failure which resulted in the loss of samples.
DOI: 10.34683/sr2720
title: StoneRounds Case: SR2720
title: Enhanced S-Cone Syndrome

description: StoneRounds Case SR2720 was diagnosed with Enhanced S-Cone Syndrome likely caused by mutations in the gene: NR2E3.
DOI: 10.6073/pasta/798bda0e9ddfeba20f2266e64cf4dd40
title: Size-fractionated chlorophyll from water column bottle samples collected during NES-LTER Transect cruises, ongoing since 2017.

description: Size-fractionated chlorophyll a and phaeopigments are measured from discrete bottle samples collected during CTD-rosette casts on Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises (ongoing since 2017), as a proxy for phytoplankton biomass. Sampling frequency is approximately seasonal. Samples were processed by three lab groups using different methods. Size fractions in addition to whole seawater (&gt;0.7 micron) include &gt;5 , &lt;10, &gt;10, and &gt;20 microns with some samples pre-filtered &lt;200 microns. Pigments were analyzed using fluorometers in which fluorescence was measured versus a blank and a standard, and final concentrations were calculated in micrograms per liter (or mg per cubic meter). Some of the data are from cruises in collaboration with the Ocean Observatories Initiative (OOI).
DOI: 10.5281/zenodo.7503857
title: IODP Expedition 376 Alkalinity and pH

description: Alkalinity was determined by Gran titration with an autotitrator (Metrohm 794 basic Titrino) using 0.1 M HCl at 20 degrees C. Report includes alkalinity, correction factor (if applicable), and pH.
DOI: 10.5281/zenodo.7503856
title: IODP Expedition 376 Alkalinity and pH

description: Alkalinity was determined by Gran titration with an autotitrator (Metrohm 794 basic Titrino) using 0.1 M HCl at 20 degrees C. Report includes alkalinity, correction factor (if applicable), and pH.
DOI: 10.6073/pasta/12bd9b9805396ecef006549144508124
title: Plumes and Blooms: Curated oceanographic and phytoplankton pigment observations

description: These data come from the Plumes and Blooms project (PnB), which has conducted approximately monthly 1-day oceanographic cruises since August 1996. The data included here encompass all PnB cruises from August 1996 through December 2018. Data are two data tables: one table includes conductivity-temperature-depth profiles (CTD) and derived physical parameters, the other table includes discrete seawater samples for various biological and biogeochemical parameters. Details are available in Catlett et al., in prep. References: Catlett, D., D. A. Siegel, R. D. Simons, N. Guillocheau, F. Henderikx-Freitas, C. S. Thomas. Seasonal to multi-decadal dynamics in biomarker pigment estimates of phytoplankton groups in the Santa Barbara Channel, CA. In prep for Progress in Oceanography.
DOI: 10.34683/sr2343
title: StoneRounds Case: SR2343
title: Cone and Cone Rod Dystrophy

description: StoneRounds Case SR2343 was diagnosed with Cone and Cone Rod Dystrophy likely caused by mutations in the gene: CRX.
DOI: 10.5281/zenodo.7503876
title: IODP Expedition 376 Elemental analysis (CHNS)

description: Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
DOI: 10.5281/zenodo.7503875
title: IODP Expedition 376 Elemental analysis (CHNS)

description: Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
DOI: 10.6073/pasta/98c9f11df55958065985c3e84a4fe995
title: LAGOS-US NETWORKS v1.0: Data module of surface water networks characterizing connections among lakes, streams, and rivers in the conterminous U.S

description: Knowing the degree of surface water connectivity among aquatic ecosystems can help scientists better understand and predict the movement of materials and biota across ecosystems. Methods to quantify surface water networks that include lake and stream connections at broad spatial scales are rare because it is difficult to balance accurate estimates of surface water connectivity and computational challenges. The LAGOS-US NETWORKS (NETS) module contains surface connectivity metrics for lake networks across the conterminous United States. We applied a graph theory approach to identify lake networks (i.e. a set of lakes connected by streams either upstream, downstream, or both) created from the medium resolution NHD lakes, streams, and rivers and subsequently derive surface water connectivity metrics for lakes and networks. Using this approach, we created a total of 898 networks that include 86,511 lakes. The NETS module includes a table with metrics for connections between lakes (both upstream and downstream), dams, network position, and whole networks. NETS also includes a flow table and bidirectional and unidirectional distance tables that provide the distances between every pair of connected lakes.
DOI: 10.6073/pasta/c850e645d79bb239e1dfeadd0af6b631
title: LAGOS-US RESERVOIR: Data module classifying conterminous U.S. lakes 4 hectares and larger as natural lakes or reservoirs. Environmental Data Initiative

description: This data package, LAGOS-US RESERVOIR, is one of the extension modules of the LAGOS-US platform for studying lakes in the United States. Although naturally-formed lakes and reservoirs are thought to differ in many properties, there is currently no data source that differentiates between lakes and reservoirs in the conterminous US. This absence of data stems from how challenging it is to identify reservoirs at broad scales -- there is a wide variety of dam types and sizes that results in various reservoir shapes and sizes, making a simple classification difficult. Furthermore, reservoirs are understudied compared to natural lakes. The LAGOS-US RESERVOIR data module fills these data and the resulting knowledge gaps by classifying lakes greater than or equal to 4 hectares in the conterminous US (137,465 lakes) into one of two classes: natural lakes (NL) or reservoirs (RSVR). We define RSVRs (using visual interpretation of imagery) as lakes that are likely to be either human-made or highly human-altered by the presence of a relatively large water control structure that significantly changes the flow of water. We define NLs (using visual interpretation of imagery) as lakes that are likely to be either naturally-formed or do not have a relatively large, apparently flow-altering structure on or near it. The RSVR and NL classification is based on high resolution imagery and model predictions. We trained machine learning models using 12,127 manually (i.e., visually) classified lakes. When then used these models to assign NL or RSVR predictions to the remaining 77,604 NLs and 59,861 RSVRs. RESERVOIR also includes model-based prediction probabilities and variables that are commonly used when studying reservoirs (e.g., lake shape). These data can be used for studying reservoirs at the regional to conterminous US scale.
DOI: 10.5281/zenodo.7503878
title: IODP Expedition 376 Carbonates composite report

description: This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.
DOI: 10.5281/zenodo.7113471
title: Data for "Health of neonates born in the maternity hospital in Bern, Switzerland, 1880-1900 and 1914-1922"

description: Datasets underlying the analysis of the paper: "Health of neonates born in the maternity hospital in Bern, Switzerland, 1880-1900 and 1914-1922" This upload includes the following two data sets: <strong>Bern_birth.csv</strong> : data from the maternity hospital in Bern for the years 1880- 1900 and 1914-1922 Year: Year of birth Insurance: 1=yes, 0=no matage: Age of mother married: woman is married yes or no parity: number of parities gest: gestational age birthday2: birthday of newborn Grippe: flu 1=yes weight: birth weight of newborn city: 1=urban, 0=rural Month: birth month of newborn boy: 1= male, 0=femal stillborn: 1=yes, 0=no multiple: multiple births 1=yes, 0=no matheight2: 1=small, 2=medium, 3=tall matbody2: 1=grazil, 2=medium, 3=strong malnutrition2: 1=yes, 0=no occupation: german description of women's occupations occupation2: groups of occupations, 1= farm worker, 2=Maid, 3= Worker, 4=Housewife, 5/6/7=other agemenarche: age of first menstruation <strong>Flu_Bern.csv</strong> : Weekly recorded flu numbers for the canton of Bern Year: Year of influenca week: week of influenca KW: calender week Canton: Number of influenca cases in canton of Bern
description: Funding: <br> <br> SNSF project number 156683 <br> <br> SNSF project number 197305 <br> <br> Mäxi Foundation Zurich <br> <br> The authors would like to thank Manuel Burgener, Marco Dal Molin, Nadine Duss, Daniel Gammenthaler, Jonas Gerber, Nicolas Kessler, Jonas Kleiner, Joëlle Niedermann, Michael Schumacher, Deny Fux, Fiona Freiburghaus, and Nina Tabord for their assistance in obtaining the data; the staff of the Bern State Archives for their helpful support; and Christian Rohr, Daniel Segesser, Irene Hösli, Frank Rühli, Harald Mayr, Peter Ward, Bernard Harris, and Eric Schneider for their previous and ongoing collaborations and general support
DOI: 10.5281/zenodo.7503877
title: IODP Expedition 376 Carbonates composite report

description: This composite report includes data from two analyses (total carbon from Elemental analysis [CHNS], and inorganic carbon from [Coulometer]). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.
DOI: 10.5281/zenodo.7113470
title: Data for "Health of neonates born in the maternity hospital in Bern, Switzerland, 1880-1900 and 1914-1922"

description: Datasets underlying the analysis of the paper: "Health of neonates born in the maternity hospital in Bern, Switzerland, 1880-1900 and 1914-1922" This upload includes the following two data sets: <strong>Bern_birth.csv</strong> : data from the maternity hospital in Bern for the years 1880- 1900 and 1914-1922 Year: Year of birth Insurance: 1=yes, 0=no matage: Age of mother married: woman is married yes or no parity: number of parities gest: gestational age birthday2: birthday of newborn Grippe: flu 1=yes weight: birth weight of newborn city: 1=urban, 0=rural Month: birth month of newborn boy: 1= male, 0=femal stillborn: 1=yes, 0=no multiple: multiple births 1=yes, 0=no matheight2: 1=small, 2=medium, 3=tall matbody2: 1=grazil, 2=medium, 3=strong malnutrition2: 1=yes, 0=no occupation: german description of women's occupations occupation2: groups of occupations, 1= farm worker, 2=Maid, 3= Worker, 4=Housewife, 5/6/7=other agemenarche: age of first menstruation <strong>Flu_Bern.csv</strong> : Weekly recorded flu numbers for the canton of Bern Year: Year of influenca week: week of influenca KW: calender week Canton: Number of influenca cases in canton of Bern
description: Funding: <br> <br> SNSF project number 156683 <br> <br> SNSF project number 197305 <br> <br> Mäxi Foundation Zurich <br> <br> The authors would like to thank Manuel Burgener, Marco Dal Molin, Nadine Duss, Daniel Gammenthaler, Jonas Gerber, Nicolas Kessler, Jonas Kleiner, Joëlle Niedermann, Michael Schumacher, Deny Fux, Fiona Freiburghaus, and Nina Tabord for their assistance in obtaining the data; the staff of the Bern State Archives for their helpful support; and Christian Rohr, Daniel Segesser, Irene Hösli, Frank Rühli, Harald Mayr, Peter Ward, Bernard Harris, and Eric Schneider for their previous and ongoing collaborations and general support