cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7332099
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 1.0: Add the <code>pr06</code> experiment. Version 0.11: Add the <code>pr05</code> experiment. Version 0.10: Add the <code>ir16</code> experiment. Version 0.9: Add the <code>ir15</code> experiment. Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5281/zenodo.7331894
title: Meter-Scale Magma-Water Interaction Experiments

description: These are video and other sensor data of experiments in which "magma" — that is: volcanic rock, re-melted at ca. 1300°C — interacts with liquid water. The experiments aim to better understand the escalation behavior of the processes involved when magma comes into contact with liquid water. The dataset will grow over time as data of new experiments is added. <strong>Changes</strong> Version 1.0: Add the <code>pr06</code> experiment. Version 0.11: Add the <code>pr05</code> experiment. Version 0.10: Add the <code>ir16</code> experiment. Version 0.9: Add the <code>ir15</code> experiment. Version 0.8: Add the <code>ir14</code> experiment. Version 0.7: Add the <code>ir13</code> experiment. Version 0.6: Add the <code>ir12</code> experiment. Version 0.5: Add the <code>ir07</code> experiment. Version 0.4: Add the <code>ir06</code> experiment. Version 0.3: Add the <code>ir05</code> experiment. Version 0.2: Add the <code>ir04</code> experiment. Version 0.1: Start with experiment <code>ir03</code>.
DOI: 10.5517/ccdc.csd.cc2c0ftn
title: CCDC 2175171: Experimental Crystal Structure Determination

description: Related Article: Xinde Duan, Minqi Xia, Xixi Hu, Lijun Yang, Hegen Zheng|2022|Nanoscale|14|16516|doi:10.1039/D2NR05245H
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.7004944
title: ICB_Hugo

description: ICB_Hugo data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004945
title: ICB_Hugo

description: ICB_Hugo data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058161
title: ICB_Hugo

description: ICB_Hugo data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332108
title: ICB_Hugo

description: ICB_Hugo data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7310320
title: Skills of science inquiry in citizen science - Datasets

description: This dataset contains classification of science inquiry skills in a selected list of citizen science projects.
description: Other related information about CS project descriptions and data source websites can be found in the following: https://doi.org/10.5281/zenodo.7310096 and https://doi.org/10.5281/zenodo.7310295 .
DOI: 10.6073/pasta/3a3684166f857e7a5cfabe32911d1d0d
title: Microbial Community Composition in Lakes - Taxonomic/Ecological characteristics of the sample at North Temperate Lakes LTER 2000 - 2007

description: Microbial community composition is inferred by a combination of automated ribosomal intergenic spacer analysis (ARISA) and PCR-generated clone library analysis. Clone libraries include both the 16S rRNA gene and the 16S-23S ribosomal intergenic spacer fragment. Phylogenetic assignments for individual ARISA fragments are obtained by comparing the ARISA fragment length from each clone to all of the profiles stored in our database. We have analyzed over 3900 clones obtained from 41 lakes that represent the range of trophic types found in temperate landscapes. Querying by a combination of taxonomic and ecological characteristics of the sample allows the user to retrieve sample information [sample IDs, sample dates, lake information (region, type, size, depth) and physical/chemical data (water temperature, clarity, pH, DOC, SUVA, TN, TP, nitrates/nitrites)] and clone information [clone IDs, sequence data, and characteristics of the sequence (length, chimera status, accession number, taxonomic affiliation)]. The data can be filtered by ecological characteristics of the sample [lake name, sample date, lake information (region, type, size, depth)] and taxonomic characteristics of the community members [clone ID, ARISA fragment length (raw or binned), and/or taxonomic characteristics (Phylum and Phylum-Class)]. The output can include links to individual sample records, which contain links to the taxonomic composition of the sample inferred by dynamically matching clones to ARISA fragments in the individual sample. The output can also include links to clone records directly (though this creates a very large number of lines in the output and is not recommended). Project ID's 30 Lakes - Survey of 30 lakes in northern and southern Wisconsin. June, August and October, 2002. See http://microbes.limnology.wisc.edu/lakes30.html. Lake Characteristics. CB0000 - Time series monitoring microbial community composition in Crystal Bog. 2000-2002. CBX_02 - Food web manipulation experiment in Crystal Bog. Summer, 2002.
DOI: 10.5281/zenodo.6728067
title: ICB_Hwang

description: ICB_Hwang data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728066
title: ICB_Hwang

description: ICB_Hwang data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004810
title: ICB_Hwang

description: ICB_Hwang data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058170
title: ICB_Hwang

description: ICB_Hwang data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332114
title: ICB_Hwang

description: ICB_Hwang data object generated by ORCESTRA.
DOI: 10.6073/pasta/ef8a804af1ba44eaa4eb645a8b1928c7
title: Cascade Project at North Temperate Lakes LTER: Nutrients 1991 - 2007

description: Physical and chemical variables are measured at one central station near the deepest point of each lake. In most cases these measurements are made in the morning (0800 to 0900). Vertical profiles are taken at varied depth intervals. Chemical measurements are sometimes made in a pooled mixed layer sample (PML); sometimes in the epilimnion, metalimnion, and hypolimnion; and sometimes in vertical profiles. In the latter case, depths for sampling usually correspond to the surface plus depths of 50percent, 25percent, 10percent, 5percent and 1percent of surface irradiance. The 1991-1999 chemistry data obtained from the Lachat auto-analyzer. Like the process data, there are up to seven samples per sampling date due to Van Dorn collections across a depth interval according to percent irradiance. Voichick and LeBouton (1994) describe the autoanalyzer procedures in detail. Nutrient samples were sent to the Cary Institute of Ecosystem Studies for analysis beginning in 2000. The Kjeldahl method for measuring nitrogen is not used at IES, and so measurements reported from 2000 onwards are Total Nitrogen.
DOI: 10.6073/pasta/d30f8ff55199246870dedcae65480bc4
title: Cascade Project at North Temperate Lakes LTER: Zooplankton 1984 - 2007

description: Zooplankton data from 1984-1995. Sampled approximately weekly with two net hauls through the water column (30 cm diameter net, 80 um mesh). There have been 5 zooplankton counters during this period, so species-level identifications (TAX, below) are not as consistent as those for some of the other datasets. To standardize across counters, I have assigned higher-level taxonomic categories for a few "confusing" taxa; these identifications can be found in the column LLTAX, below. Sampling Frequency: varies Number of sites: 5
DOI: 10.5281/zenodo.6728094
title: ICB_Jerby_Arnon

description: ICB_Jerby_Arnon data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728095
title: ICB_Jerby_Arnon

description: ICB_Jerby_Arnon data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004821
title: ICB_Jerby_Arnon

description: ICB_Jerby_Arnon data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058182
title: ICB_Jerby_Arnon

description: ICB_Jerby_Arnon data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332119
title: ICB_Jerby_Arnon

description: ICB_Jerby_Arnon data object generated by ORCESTRA.
DOI: 10.6073/pasta/d5e2033122fea35a7e5d507e26cbef26
title: Cascade Project at North Temperate Lakes LTER: Phytoplankton 1984 - 1995

description: Data on epilimnetic phytoplankton from 1984-95, determined by light microscopy from pooled Van Dorn samples at 100percent, 50percent, and 25percent of surface irradiance. There have been 4 counters during this period, with the same counter from 1991-95. Standardization among counters is difficult, so I recommend sticking to the 1991-95 data if possible. Cottingham (1996) describes the counting protocols in detail. Sampling Frequency: varies Number of sites: 5
DOI: 10.6073/pasta/dfe4eda03bc91c3e776793167307406c
title: Microbial Community Composition in lakes - Ecological characteristics of the sample at North Temperate Lakes LTER 2002 - 2007

description: Microbial community composition is inferred by a combination of automated ribosomal intergenic spacer analysis (ARISA) and PCR-generated clone library analysis. Clone libraries include both the 16S rRNA gene and the 16S-23S ribosomal intergenic spacer fragment. Phylogenetic assignments for individual ARISA fragments are obtained by comparing the ARISA fragment length from each clone to all of the profiles stored in our database. We have analyzed over 3900 clones obtained from 41 lakes that represent the range of trophic types found in temperate landscapes. Querying by ecological characteristics of the sample allows the user to retrieve sample IDs, sample dates, lake information (region, type, size, depth) and physical/chemical data (water temperature, clarity, pH, DOC, SUVA, TN, TP, nitrates/nitrites). The data can be filtered by lake name, sample date, lake information (region, type, size, depth), and physical/chemical data (water temperature, clarity, pH, DOC, SUVA, TN, TP, nitrates/nitrites). The output includes links to individual sample records, which contain links to the taxonomic composition of the sample inferred by dynamically matching clones to ARISA fragments in the individual sample
DOI: 10.6073/pasta/7c7cc55415b37b576df73be8b6f6d65a
title: Microbial Community Composition in Lakes - Taxonomic characteristics of the clones at North Temperate Lakes LTER 2000 - 2007

description: Microbial community composition is inferred by a combination of automated ribosomal intergenic spacer analysis (ARISA) and PCR-generated clone library analysis. Clone libraries include both the 16S rRNA gene and the 16S-23S ribosomal intergenic spacer fragment. Phylogenetic assignments for individual ARISA fragments are obtained by comparing the ARISA fragment length from each clone to all of the profiles stored in our database. We have analyzed over 3900 clones obtained from 41 lakes that represent the range of trophic types found in temperate landscapes. Querying by taxonomic characteristics of the clone allows the user to retrieve clone IDs, sequence data, and characteristics of the sequence (length, chimera status, accession number, taxonomic affiliation). The data can be filtered by clone ID, ARISA fragment length (raw or binned), and/or taxonomic characteristics (Phylum and Phylum-Class). The output includes links to individual clone records, which contain more detailed information about how the clone was generated (researcher, library ID, project ID, primer sets used, etc.).
DOI: 10.6084/m9.figshare.21568899
title: Impact of extent of digestion, digestion temperature and hydraulic retention time on the shear and solid-liquid separation behaviour of anerobic digested sludge

description: In this study, two continuously fed digesters were operated at different combinations of operating temeprature (15C and 25C) and hydraulic retention time (HRT) (16, 24 and 32-d) to obtain a wide range of VSD (0.42 to 0.7). The shear and solid-liquid separation properties were determined for sludge at each digestion condition and these parameter were linked to VSD and solids concentrations.
DOI: 10.6084/m9.figshare.21568899.v1
title: Impact of extent of digestion, digestion temperature and hydraulic retention time on the shear and solid-liquid separation behaviour of anerobic digested sludge

description: In this study, two continuously fed digesters were operated at different combinations of operating temeprature (15C and 25C) and hydraulic retention time (HRT) (16, 24 and 32-d) to obtain a wide range of VSD (0.42 to 0.7). The shear and solid-liquid separation properties were determined for sludge at each digestion condition and these parameter were linked to VSD and solids concentrations.
DOI: 10.5281/zenodo.6727052
title: ICB_Jung

description: ICB data object curated with ORCESTRA pipeline: https://github.com/BHKLAB-Pachyderm/ICB_Jung-snakemake. Data obtained from https://pubmed.ncbi.nlm.nih.gov/31537801/. Study details: https://predictio.ca/dataset/23.
DOI: 10.5281/zenodo.7004993
title: ICB_Jung

description: ICB data object curated with ORCESTRA pipeline: https://github.com/BHKLAB-Pachyderm/ICB_Jung-snakemake. Data obtained from https://pubmed.ncbi.nlm.nih.gov/31537801/. Study details: https://predictio.ca/dataset/23.
DOI: 10.5281/zenodo.6727051
title: ICB_Jung

description: ICB data object curated with ORCESTRA pipeline: https://github.com/BHKLAB-Pachyderm/ICB_Jung-snakemake. Data obtained from https://pubmed.ncbi.nlm.nih.gov/31537801/. Study details: https://predictio.ca/dataset/23.
DOI: 10.5281/zenodo.7058197
title: ICB_Jung

description: ICB data object curated with ORCESTRA pipeline: https://github.com/BHKLAB-Pachyderm/ICB_Jung-snakemake. Data obtained from https://pubmed.ncbi.nlm.nih.gov/31537801/. Study details: https://predictio.ca/dataset/23.
DOI: 10.5281/zenodo.7332134
title: ICB_Jung

description: ICB data object curated with ORCESTRA pipeline: https://github.com/BHKLAB-Pachyderm/ICB_Jung-snakemake. Data obtained from https://pubmed.ncbi.nlm.nih.gov/31537801/. Study details: https://predictio.ca/dataset/23.
DOI: 10.6073/pasta/4359afa62045f70825750479c5feacbb
title: Biocomplexity at North Temperate Lakes LTER; Coordinated Field Studies: Fish / Crayfish Abundance 2001 - 2004

description: Abundance data for fish and crayfish collected for Biocomplexity Project; Landscape Context - Coordinated Field Studies http://infotrek.er.usgs.gov/doc/wdnr_biology/Public_Stocking/StateMapHotspotsAllYears.htm - Infomation on fish stocking by Wisconsin Department of Natural Resouces in Biocomplexity Lakes. Sampling Frequency: annually Number of sites: 58
DOI: 10.6084/m9.figshare.21578763
title: Transcriptomic changes associated with ERBB2 overexpression in colorectal cancer implicates Wnt signaling pathway and a potential role of NKX2-5-mediated in tumorigenesis

description: Whole transcriptomic raw data for HER2+ and HER2- patient and colorectal cell lines.
DOI: 10.6073/pasta/becfc8276650e191f2aff8af5541020d
title: Cascade Project at North Temperate Lakes LTER: Piscivore Fish 1984 - 2003

description: Fish collected for the Casade Project. Sampling Frequency: varies Number of sites: 9
DOI: 10.5281/zenodo.7005016
title: ICB_Kim

description: ICB_Kim data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7005017
title: ICB_Kim

description: ICB_Kim data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058208
title: ICB_Kim

description: ICB_Kim data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332153
title: ICB_Kim

description: ICB_Kim data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004828
title: ICB_Liu

description: ICB_Liu data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004827
title: ICB_Liu

description: ICB_Liu data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058222
title: ICB_Liu

description: ICB_Liu data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332172
title: ICB_Liu

description: ICB_Liu data object generated by ORCESTRA.
DOI: 10.6073/pasta/78814e2a7e6ca042ada5b013772b856c
title: North Temperate Lakes LTER: Color - Trout Lake Area 1989 - current

description: Color is measured four times a year in the seven northern study lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog]) in water samples that are filtered in the field through 0.45 um nucleopore membrane filters. A spectrophotometer is used to quantify color in the lab as absorbance (unitless) at 1 nm intervals between the wavelengths of 200 and 800 nm (Note: Prior to August 2008, samples were initially run in 10cm cuvettes. Starting in Aug 2008, samples are initially run in 5cm cuvettes. Absorbance data are considered suspect for values greater than 2. Lakes with suspect data (typically, the bog lakes) are re-analyzed in the 200-400 nm range in 1 cm cuvettes. The data values are linear with respect to cuvette size. I.e, data from the 1cm cuvettes should be multiplied by 5 to be comparable with 5cm cuvette data and multiplied by 10 to be comparable with 10cm cuvette data. Data from 5cm cuvettes should be multiplied by 2 to be comparable with the older 10cm cuvette data. Sampling Frequency: 4 times annually Number of sites: 7
DOI: 10.5281/zenodo.7004961
title: ICB_Mariathasan

description: ICB_Mariathasan data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004962
title: ICB_Mariathasan

description: ICB_Mariathasan data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058247
title: ICB_Mariathasan

description: ICB_Mariathasan data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332183
title: ICB_Mariathasan

description: ICB_Mariathasan data object generated by ORCESTRA.
DOI: 10.6084/m9.figshare.3761562.v2405
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.6728099
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004866
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728098
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7007592
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058259
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332188
title: ICB_Miao1

description: ICB_Miao1 data object generated by ORCESTRA.
DOI: 10.6073/pasta/002d7592086de0688b99e8a762d1ff50
title: North Temperate Lakes LTER: Zooplankton - Madison Lakes Area 1997 - current

description: Zooplankton samples for the 4 southern Wisconsin LTER lakes (Mendota, Monona, Wingra, Fish) have been collected for analysis by LTER since 1995 (1996 Wingra, Fish) when the southern Wisconsin lakes were added to the North Temperate Lakes LTER project. Samples are collected as a vertical tow using an 80-micron mesh conical net with a 30-cm diameter opening (net mouth: net length ratio = 1:3) consistent with sampling conducted by the Wisconsin Dept. Natural Resources in prior years. Zooplankton tows are taken in the deep hole region of each lake at the same time and location as other limnological sampling; zooplankton samples are preserved in 70% ethanol for later processing. Samples are usually collected with standard tow depths on most dates (e.g., 20 meters for Lake Mendota) but not always, so tow depth is recorded as a variate in the database. Crustacean species are identified and counted for Mendota and Monona and body lengths are recorded for a portion of each species identified (see data protocol for counting procedure); samples for Wingra and Fish lakes are archived but not routinely counted. Numerical densities for Mendota and Monona zooplankton samples are reported in the database as number or organisms per square meter without correcting for net efficiency. [Net efficiency varies from a maximum of about 70% under clear water conditions; net efficiency declines when algal blooms are dense (Lathrop, R.C. 1998. Water clarity responses to phosphorus and Daphnia in Lake Mendota. Ph.D. Thesis, University of Wisconsin-Madison.)] Organism densities in number per cubic meter can be obtained by dividing the reported square-meter density by the tow depth, although adjustments for the oxygenated depth zone during the summer and early fall stratified season is required to obtain realistic zooplankton volumetric densities in the lake's surface waters. Biomass densities can be calculated using literature formulas for converting organism body lengths reported in the database to body masses. Sampling Frequency: bi-weekly during ice-free season from late March or early April through early September, then every 4 weeks through late November; sampling is conducted usually once during the winter (depending on ice conditions). Number of sites: 4 Note: for a period between approximately 2011 and 2015, a calculation error caused density values to be significantly greater than they should have been for the entire dataset. That issue has been corrected.
DOI: 10.25452/figshare.plus.20439351
title: GLCC: global leaf chlorophyll content dataset over 2003–2012 and 2018–2020 derived from MERIS/OLCI satellite data

description: Leaf chlorophyll content (LCC) is an important plant physiological trait and a proxy for leaf photosynthetic capacity. This dataset (GLCC) contains global 7-day LCC data with 500 m resolution for the period 2003–2012 to 2018–2020, produced from ENVISAT MERIS and Sentinel-3 OLCI satellite data using a physically-based radiative transfer modeling approach. This new LCC dataset spanning nearly 20 years will provide a valuable opportunity for the monitoring of vegetation growth and terrestrial carbon cycle modeling. Each .rar file contains 52 folders named “YYYYMMDD”, except for the years 2012, 2018 and 2020. The "2012_LCC", "2018_LCC" and "2020_LCC" .rar files contain only 13, 12 and 24 folders respectively. Each “YYYYMMDD” folder contains LCC data stored in GeoTIFF format, named “ESACCI-LC-L3-SR-MERIS-500m-P7D-h**v**-YYYYMMDD-v2.0-MODISTile-LCC.tif” and “S3_YYYYMMDD_h**v**_7DaySR-MODISTile-LCC.tif” for MERIS LCC dataset and OLCI LCC dataset, respectively, where “h**v**” is referenced to the MODIS tile. The scale factor of the data is 0.01.
DOI: 10.5281/zenodo.7004877
title: ICB_Nathanson

description: ICB_Nathanson data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7004876
title: ICB_Nathanson

description: ICB_Nathanson data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7058268
title: ICB_Nathanson

description: ICB_Nathanson data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7332207
title: ICB_Nathanson

description: ICB_Nathanson data object generated by ORCESTRA.