cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3937675
title: Shortwave surface albedo of glaciers in the central Chilean Andes

description: Data used to analyse glacier surface albedo change in the central Chilean Andes for the manuscript: Glacier albedo reduction and drought effects in the extratropical Andes, 1986-2020 Thomas E. Shaw1, Genesis Ulloa2, David Farías-Barahona3, Rodrigo Fernandez2, Jose Lattus2, James McPhee1,4 1 Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile<br> 2 Department of Geology, Universidad de Chile, Santiago, Chile<br> 3 Institute für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany<br> 4 Department of Civil Engineering, Universidad de Chile, Santiago, Chile Corresponding author: Thomas E. Shaw (thomas.shaw@amtc.uchile.cl)<br> Keywords: Albedo, Andes, Glacier, Drought, Remote sensing, Climate %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Sub-folders:<br> <strong> [Albedo]:</strong><br> '<strong>Albedo_ChileanGlaciers_DATA.mat'</strong> = matlab file that contains a structure of all information for analyses. <br> 'DATA' structure contains: <br> NAME = Glacier name<br> ALBEDO = 3D albedo matrices for each named glacier<br> DEM = ASTER DEM of same resolution + size<br> DEMtif = as above, but within a georeferenced GRIDobj frame read by TopoToolbox<br> CLASS = classification as 0 (no data), 1 (ice) or 2 (snow)<br> OTSUindex = The histogram separation value per year (per glacier) based upon Otsu inter-class variance<br> SHADOW = Shadowed pixels based upon solar geometry<br> SOLAR_AZI = Solar Azimuth per year taken from Landsat metadata<br> SOLAR_ELE = Solar Elevation per year taken from Landsat metadata<br> NIR = The Near-Infrared band of Landsat images for the Osu classification<br> SLOPE = The calculated slope angle based upon the DEM (GRIDobj format) <br> 'SHAPE' is an 18*1 structure of the imported shapefiles in matlab format. Can be plotted using 'mapshow' <strong>[Shapefiles]:</strong><br> '<strong>CentralChileGlaciers.shp</strong>' = Shapefile of glacier boundaries delineated based upon April 2020 3 m PlanetScope imagery. <br> <strong>[Climate]:</strong><br> '<strong>Ta_Precip_HY.mat</strong>' = Mean Monthly Air temperature (°C) and monthly total precipitation (mm) at long term DGA weather stations for each Hydrological year (April-March)<br> 'TAmonth_HY' = A matrix of 35 x 12 mean month air temperatures (°C) where rows (x35) = the hydrological year starting 1985-1986 and columns (x12) = the months of the hydrological year so that the first column is April and the final column is March of the following year<br> 'PPmonth_HY' = As above but a 3D matrix of 35 x 12 x 3 for monthly sums of precipitation (mm). The rows and columns are defined above and the third dimension are the stations Riecillos (32.92°S, 70.35°W ,1290 m a.s.l.), Embalse Yeso (33.67°S, 70.08°W, 2475 m a.s.l.) and Rengo (34.19°S, 70.75°W, 515 m a.s.l.), respectively.<br> <br> <br> <br>
DOI: 10.5066/p90vw2fp
title: Growth of cultured Picocystis strain ML in the presence of arsenic, and occurrence of arsenolipids in these Picocystis as well as biota and sediment from Mono Lake, California

description: Mono Lake is a hypersaline soda lake rich in dissolved inorganic arsenic with its primary production currently dominated by Picocystis str. ML. We set out to determine if this picoplankter could metabolize inorganic arsenic, and in doing so form unusual arsenolipids (e.g., methylated arsinoyl ribosides) as reported in other saline ecosystems and by halophilic algae. We cultivated Picocystis str. ML on an inorganic seawater-based medium with either low (37 uM) or high (1,000 uM) phosphate in the presence of arsenite (~0.4 mM), arsenate (~0.8 mM), or without arsenic additions.
DOI: 10.5281/zenodo.3840591
title: Research Data Supporting "Engineering synthetic breath biomarkers for respiratory disease"

description: Raw research data supporting the publication: Chan L., et al., 2020, Nature Nanotechnology, In press
DOI: 10.5281/zenodo.3840590
title: Research Data Supporting "Engineering synthetic breath biomarkers for respiratory disease"

description: Raw research data supporting the publication: Chan L., et al., 2020, Nature Nanotechnology, In press
DOI: 10.18112/openneuro.ds003020.v1.0.0
title: An MRI dataset during a passive natural language listening tast
DOI: 10.5519/qd.3antcwoq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1479 records)
DOI: 10.6092/unibo/amsacta/6429
title: MADFORWATER. WP3 Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture. Task3.3 Integrated physical and economic model for land and water use optimization. Tunisian, Egyptian and Moroccan basins

description: This dataset includes MADFORWATER Task 3.3 data, that were used for the development, application and calibration of an integrated agro-economic model with hydrology and water parameters for optimizing farm income, cropping pattern and water allocation in the three case studies area of MADFORWATER project. The case study areas are: the irrigated farming system in the Kafr-El-Sheikh Region (Egypt), the citrus farming system in Souss-Mass region (Morocco), and the annual and permanent irrigated farming in the Nabeul Governorate (Tunisia). In particular, the dataset includes data on: cultivated and irrigated surface cropping patterns, irrigation requirements and schedules, water availability and water consumption, crop characteristics (yields, prices and production costs), economic performance (farm income, labor use, etc.), performance indicator of irrigation technologies. The data scale is referred to the 3 selected basins, where the integrated technologies and strategies were tested and implemented. The integrated model validated and tested was used in other MADFORWATER tasks, such as those developed in WP5, to develop water & land management strategies for an optimal exploitation of the irrigation technologies developed WP3, and for the assessment of the impact of economic instruments for improving irrigation efficiency and for enhancing wastewater reuse in agriculture. Potential users for this dataset include: (i) policy-makers or other decision-makers involved in water management and planning or agricultural policy development; (ii) researchers and companies active in the fields of treated wastewater (TWW) reuse, water resources management, irrigation and agricultural and natural resource economics.
DOI: 10.5281/zenodo.3942332
title: Historical Issue Data of Projects on Jira

description: This dataset contains all the historical issues from sixty-six Apache Open Source projects collected in February 2018. It was used in the paper “Traceability Network Analysis: A Case Study of Links In Issue Tracking Systems” published in the Seventh International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'20) to study issue traceability as a network structure.
DOI: 10.5281/zenodo.3942331
title: Historical Issue Data of Projects on Jira

description: This dataset contains all the historical issues from sixty-six Apache Open Source projects collected in February 2018. It was used in the paper “Traceability Network Analysis: A Case Study of Links In Issue Tracking Systems” published in the Seventh International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'20) to study issue traceability as a network structure.
DOI: 10.5281/zenodo.3893807
title: ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments (HisFrag20) Dataset

description: This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists.<br> We focus on the task of automatic image retrieval to simulate common scenarios of humanities research, such as fragment or writer retrieval. Therefore, we created a large dataset consisting of more than 120000 fragments.<br> The goal is then to find similar patches of the same page or manuscript. contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small. Training-set: contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small. Test-set: contains about 20 000 new fragments Naming-convention: WID_PID_FID.jpg , where WID=writer id, PID: page id, FID= fragment id For more information visit: https://lme.tf.fau.de/research/competitions/hisfragir20/
DOI: 10.5281/zenodo.3893806
title: ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments (HisFrag20) Dataset

description: This competition investigates the performance of large-scale retrieval of historical document fragments based on writer recognition. The analysis of historic fragments is a difficult challenge commonly solved by trained humanists.<br> We focus on the task of automatic image retrieval to simulate common scenarios of humanities research, such as fragment or writer retrieval. Therefore, we created a large dataset consisting of more than 120000 fragments.<br> The goal is then to find similar patches of the same page or manuscript. contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small. Training-set: contains ~100 000 fragments using the Historical-IR19 as base dataset, they should all contain some text, however some fragments are quite small. Test-set: contains about 20 000 new fragments Naming-convention: WID_PID_FID.jpg , where WID=writer id, PID: page id, FID= fragment id For more information visit: https://lme.tf.fau.de/research/competitions/hisfragir20/
DOI: 10.5281/zenodo.3939144
title: Differentially expressed alternatively spliced genes associated with carcass and meat traits in Nelore cattle

description: Quality control report from Qualimap 2.2.1. Basic statistics of the alignment (number of reads, coverage, GC-content, junction detection, etc.) were summarized. Quality control was performed with RNA-seq data from muscle tissue of Nelore Cattle. Transcript data were used to identify genes for which alternatively spliced transcripts were differentially expressed in ribeye muscle tissue between Nelore cattle that differed in their ribeye muscle area (REA) or intramuscular fat content (IF).
DOI: 10.5281/zenodo.3939143
title: Differentially expressed alternatively spliced genes associated with carcass and meat traits in Nelore cattle

description: Quality control report from Qualimap 2.2.1. Basic statistics of the alignment (number of reads, coverage, GC-content, junction detection, etc.) were summarized. Quality control was performed with RNA-seq data from muscle tissue of Nelore Cattle. Transcript data were used to identify genes for which alternatively spliced transcripts were differentially expressed in ribeye muscle tissue between Nelore cattle that differed in their ribeye muscle area (REA) or intramuscular fat content (IF).
DOI: 10.5281/zenodo.3942563
title: Continuation of the Earthworm Survey on Nantucket, Tuckernuck, and Muskeget Islands, Massachusetts

description: This dataset was submitted in fulfillment of a 2008 Nantucket Biodiversity grant. We collected earthworms on Nantucket, Tuckernuck, and Muskeget Islands, MA using a modified liquid mustard extraction method. We found earthworms on all three islands and added 54 specimens to the collection. We identified a new island record (Lumbricus rubellus) and the species list now contains six species. Dendrodrilus rubidus and Dendrobaena octaedra are the most common species numerically. Some areas of Nantucket appear to have no earthworms, but we predict they will be eventually colonized by litter dwelling species. allEarthwormData.csv<br> dataDictionary.csv<br> litterMeasurements.csv - Not used in report, collection method in data dictionary<br> mckenna-foster-arntzen-nbi-report-2010.pdf
DOI: 10.5281/zenodo.3942562
title: Continuation of the Earthworm Survey on Nantucket, Tuckernuck, and Muskeget Islands, Massachusetts

description: This dataset was submitted in fulfillment of a 2008 Nantucket Biodiversity grant. We collected earthworms on Nantucket, Tuckernuck, and Muskeget Islands, MA using a modified liquid mustard extraction method. We found earthworms on all three islands and added 54 specimens to the collection. We identified a new island record (Lumbricus rubellus) and the species list now contains six species. Dendrodrilus rubidus and Dendrobaena octaedra are the most common species numerically. Some areas of Nantucket appear to have no earthworms, but we predict they will be eventually colonized by litter dwelling species. allEarthwormData.csv<br> dataDictionary.csv<br> litterMeasurements.csv - Not used in report, collection method in data dictionary<br> mckenna-foster-arntzen-nbi-report-2010.pdf
DOI: 10.17864/1947.000434
title: Avocado supply chain dataset

description: These data support the PhD thesis 'Epidemiology and community analysis of stem end rot-associated fungal pathogens and their impact on postharvest disease of commercial avocado (Persea americana)'. Fruit physiological and disease symptom data were collected from avocados provided by the Greencell fruit distribution centre at the end of the supply chain. Fruit mesocarp was imaged and samples from the stem end were plated for each avocado to match disease symptoms to potential pathogenic fungal morphotype.
DOI: 10.18712/nsd-nsd0587-2-v2
title: Labour Force Survey 1st quarter 1972 - 2nd quarter 1973, panel file

description: SSB has conducted official quarterly labor force surveys (LFS) from Q1 1972. The survey aims to provide labor authorities and others knowledge about the occupational structure of population and development over time. The surveys provide the basis and statistical material for occupational forecasting and labor market research. In the LFS respondents are interviewed two consecutive quarters, then after two more quarters they are interviewed again in two consecutive quarters. Labour Force Survey 1972 is the first complete LFS year long survey. Originally it was intended that such statistics would be a more analytical supplement to the monthly employment statistics based on the insurance fund membership files. The insurance fund-based statistics, however, fell away when health insurance was included in the National Insurance Scheme from 1 January 1971, the LFS has gradually evolved to become the main source of knowledge about the state of the labor market. This file covers data collected in 1st and 2nd quarter 1972 and 1st and 2nd quarter 1973. The criteria to be included in the file is that the respondent participated in the last interview sequence. General information on the Labour Force Survey: http://www.nsd.uib.no/data/ny_individ/norStudy/aku.html Overview of LFS panels with detailed explanation for panel files: Group 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | Quarter12345| 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | -4 00 0| 0 | | | | -3 00 | 00 | | | | -2 00 | 00 | | | | -1 00| 00 | | | | ------------|--------|-------|--------|-------|----------- 1 0|0 0|0 | | | 2 |XX |XX | | | 3 | XX | XX | | | 4 | XX| XX| | | ------------|-------|--------|--------|-------|-------------- 5 | X|X X|X | | 6 | | XX | XX | | 7 | | XX | XX | | 8 | | XX| XX| | 9 | | 0|0 0| | 10 | | | 00 | | 11 | | | 00 | | 12 | | | 00| | 13 | | | 0| | 14 | | | | 000 | 15 | | | | XXXX| 16 | | | | 0 0 | 0 17 | | | | XX | XX 18 | | | | XX | XX 19 | | | | XX| XX Panel files are created by linking four interviews from an ordinary interview round in LFS. In the table above this means that one could connect all the groups (lines) marked X. Group 1 is removed because the intweviews started 4th quarter 1971. Participation 4 times is used as a selection criterion, therefore everyone that didn't participate in the 4th interview has been omitted. In 1975 SSB changed selection strategy. The groups that were left out due to this (started in 1973 or 1974, should've had one or more interviews in 1975) are removed.
DOI: 10.18712/nsd-nsd0587-3-v2
title: Labour Force Survey 2nd quarter 1972 - 3rd quarter 1973, panel file

description: SSB has conducted official quarterly labor force surveys (LFS) from Q1 1972. The survey aims to provide labor authorities and others knowledge about the occupational structure of population and development over time. The surveys provide the basis and statistical material for occupational forecasting and labor market research. In the LFS respondents are interviewed two consecutive quarters, then after two more quarters they are interviewed again in two consecutive quarters. Labour Force Survey 1972 is the first complete LFS year long survey. Originally it was intended that such statistics would be a more analytical supplement to the monthly employment statistics based on the insurance fund membership files. The insurance fund-based statistics, however, fell away when health insurance was included in the National Insurance Scheme from 1 January 1971, the LFS has gradually evolved to become the main source of knowledge about the state of the labor market. This file covers data collected in 2nd and 3rd quarter 1972 and 2nd and 3rd quarter 1973. The criteria to be included in the file is that the respondent participated in the last interview sequence. General information on the Labour Force Survey: http://www.nsd.uib.no/data/ny_individ/norStudy/aku.html Overview of LFS panels with detailed explanation for panel files: Group 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | Quarter12345| 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | -4 00 0| 0 | | | | -3 00 | 00 | | | | -2 00 | 00 | | | | -1 00| 00 | | | | ------------|--------|-------|--------|-------|----------- 1 0|0 0|0 | | | 2 |XX |XX | | | 3 | XX | XX | | | 4 | XX| XX| | | ------------|-------|--------|--------|-------|-------------- 5 | X|X X|X | | 6 | | XX | XX | | 7 | | XX | XX | | 8 | | XX| XX| | 9 | | 0|0 0| | 10 | | | 00 | | 11 | | | 00 | | 12 | | | 00| | 13 | | | 0| | 14 | | | | 000 | 15 | | | | XXXX| 16 | | | | 0 0 | 0 17 | | | | XX | XX 18 | | | | XX | XX 19 | | | | XX| XX Panel files are created by linking four interviews from an ordinary interview round in LFS. In the table above this means that one could connect all the groups (lines) marked X. Group 1 is removed because the intweviews started 4th quarter 1971. Participation 4 times is used as a selection criterion, therefore everyone that didn't participate in the 4th interview has been omitted. In 1975 SSB changed selection strategy. The groups that were left out due to this (started in 1973 or 1974, should've had one or more interviews in 1975) are removed.
DOI: 10.18712/nsd-nsd0587-4-v2
title: Labour Force Survey 3rd quarter 1972 - 4th quarter 1973, panel file

description: SSB has conducted official quarterly labor force surveys (LFS) from Q1 1972. The survey aims to provide labor authorities and others knowledge about the occupational structure of population and development over time. The surveys provide the basis and statistical material for occupational forecasting and labor market research. In the LFS respondents are interviewed two consecutive quarters, then after two more quarters they are interviewed again in two consecutive quarters. Labour Force Survey 1972 is the first complete LFS year long survey. Originally it was intended that such statistics would be a more analytical supplement to the monthly employment statistics based on the insurance fund membership files. The insurance fund-based statistics, however, fell away when health insurance was included in the National Insurance Scheme from 1 January 1971, the LFS has gradually evolved to become the main source of knowledge about the state of the labor market. This file covers data collected in 3rd and 4th quarter 1972 and 3rd and 4th quarter 1973. The criteria to be included in the file is that the respondent participated in the last interview sequence. General information on the Labour Force Survey: http://www.nsd.uib.no/data/ny_individ/norStudy/aku.html Overview of LFS panels with detailed explanation for panel files: Group 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | Quarter12345| 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | -4 00 0| 0 | | | | -3 00 | 00 | | | | -2 00 | 00 | | | | -1 00| 00 | | | | ------------|--------|-------|--------|-------|----------- 1 0|0 0|0 | | | 2 |XX |XX | | | 3 | XX | XX | | | 4 | XX| XX| | | ------------|-------|--------|--------|-------|-------------- 5 | X|X X|X | | 6 | | XX | XX | | 7 | | XX | XX | | 8 | | XX| XX| | 9 | | 0|0 0| | 10 | | | 00 | | 11 | | | 00 | | 12 | | | 00| | 13 | | | 0| | 14 | | | | 000 | 15 | | | | XXXX| 16 | | | | 0 0 | 0 17 | | | | XX | XX 18 | | | | XX | XX 19 | | | | XX| XX Panel files are created by linking four interviews from an ordinary interview round in LFS. In the table above this means that one could connect all the groups (lines) marked X. Group 1 is removed because the intweviews started 4th quarter 1971. Participation 4 times is used as a selection criterion, therefore everyone that didn't participate in the 4th interview has been omitted. In 1975 SSB changed selection strategy. The groups that were left out due to this (started in 1973 or 1974, should've had one or more interviews in 1975) are removed.
DOI: 10.18712/nsd-nsd0588-1-v2
title: Labour Force Survey 4th quarter 1972 - 1st quarter 1974, panel file

description: SSB has conducted official quarterly labor force surveys (LFS) from Q1 1972. The survey aims to provide labor authorities and others knowledge about the occupational structure of population and development over time. The surveys provide the basis and statistical material for occupational forecasting and labor market research. In the LFS respondents are interviewed two consecutive quarters, then after two more quarters they are interviewed again in two consecutive quarters. Labour Force Survey 1972 is the first complete LFS year long survey. Originally it was intended that such statistics would be a more analytical supplement to the monthly employment statistics based on the insurance fund membership files. The insurance fund-based statistics, however, fell away when health insurance was included in the National Insurance Scheme from 1 January 1971, the LFS has gradually evolved to become the main source of knowledge about the state of the labor market. This file covers data collected in 4th 1972, 1st and 4th quarter 1973 and 1st quarter 1974. The criteria to be included in the file is that the respondent participated in the last interview sequence. General information on the Labour Force Survey: http://www.nsd.uib.no/data/ny_individ/norStudy/aku.html Overview of LFS panels with detailed explanation for panel files: Group 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | Quarter12345| 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | 1234 | -4 00 0| 0 | | | | -3 00 | 00 | | | | -2 00 | 00 | | | | -1 00| 00 | | | | ------------|------|------|------|------|----------- 1 0| 0 0 | 0 | | | 2 | XX | XX | | | 3 | XX | XX | | | 4 | XX | XX | | | ------------|------|------|------|------|-------------- 5 | X | X X | X | | 6 | | XX | XX | | 7 | | XX | XX | | 8 | | XX | XX | | 9 | | 0 | 0 0 | | 10 | | | 00 | | 11 | | | 00 | | 12 | | | 00 | | 13 | | | 0 | | 14 | | | | 000 | 15 | | | | XXXX | 16 | | | | 0 0 | 0 17 | | | | XX | XX 18 | | | | XX | XX 19 | | | | XX | XX Panel files are created by linking four interviews from an ordinary interview round in LFS. In the table above this means that one could connect all the groups (lines) marked X. Group 1 is removed because the intweviews started 4th quarter 1971. Participation 4 times is used as a selection criterion, therefore everyone that didn't participate in the 4th interview has been omitted. In 1975 SSB changed selection strategy. The groups that were left out due to this (started in 1973 or 1974, should've had one or more interviews in 1975) are removed.