cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e108536v1-131587
title: Higher education market in Colombia

description: In a scenario of significant growth in the supply and demand of higher education programmes in Colombia, this study proposes a modelling system based on data mining techniques to characterise this market after obtaining quality information about first- term students. The research uses a sample of 3548 programmes in Colombia, which represents 50\% of higher education students in the period between 2012-2014. It is concluded that the private higher education system reproduces social inequalities in the sense that it restricts by the way of costs, the access to the high-quality supply and that the best students are also received there. The modelling strategy has two advantages concerning related literature. On the one hand, formulating microeconomic framework to model the rational choice is not required, on the other hand, it creates an instrument that allows visualisation and locating of each microdata (academic programme) in a segmentation based on educational and socio-economic variables which this converts the result of the research into an academic portfolio management tool for higher education institutions.
DOI: 10.6084/m9.figshare.21521142
title: Measuring Compound Eye Optics with Microscope and MicroCT Images (Supplement)

description: Here are all of the resources used in creating the statistics and figures in the paper . We also include the figures in vector form. Folder Contents: You should find 5 zip files: benchmark_2D.zip -- images and code for benchmarking the ODA-2D on 4 example datasets d_melanogaster_data.zip -- images and code for benchmarking the ODA-2D on one dataset of 29 vinegar flies for comparisons within a species benchmark_3D.zip -- images and code for bechmarking the ODA-3D on 4 CT stacks of the eyes of 4 different species ODA-main.zip -- the version of the ODA used in the above folders revised_figs.zip -- the final figures generated, including the original vector files After unzipping these folders, you can find a README.md file explaining the contents of the folder and how to run the code. ODA Installation The 3 zipped datasets require the included version of the ODA package written in Python. To run this, make sure you have Python3.6+ and pip (the package managing module) installed. Then, unzip ODA-main.zip and navigate to that folder in the terminal. Once there, run the following: <em>pip install .</em> <br> This should install all of the dependencies needed to run the code in those 3 datasets. For more information, see the README.md files within each folder. If all else fails, contact Pablo at johnpaulcurrea@gmail.com.
DOI: 10.6084/m9.figshare.21521142.v1
title: Measuring Compound Eye Optics with Microscope and MicroCT Images (Supplement)

description: Here are all of the resources used in creating the statistics and figures in the paper . We also include the figures in vector form. Folder Contents: You should find 5 zip files: benchmark_2D.zip -- images and code for benchmarking the ODA-2D on 4 example datasets d_melanogaster_data.zip -- images and code for benchmarking the ODA-2D on one dataset of 29 vinegar flies for comparisons within a species benchmark_3D.zip -- images and code for bechmarking the ODA-3D on 4 CT stacks of the eyes of 4 different species ODA-main.zip -- the version of the ODA used in the above folders figs.zip -- the final figures generated, including the original vector files After unzipping these folders, you can find a README.md file explaining the contents of the folder and how to run the code. ODA Installation The 3 zipped datasets require the included version of the ODA package written in Python. To run this, make sure you have Python3.6+ and pip (the package managing module) installed. Then, unzip ODA-main.zip and navigate to that folder in the terminal. Once there, run the following: <em>pip install .</em> <br> This should install all of the dependencies needed to run the code in those 3 datasets. For more information, see the README.md files within each folder. If all else fails, contact Pablo at johnpaulcurrea@gmail.com.
DOI: 10.5281/zenodo.7502366
title: Smartphone addiction among adolescents

description: Dataset
DOI: 10.5281/zenodo.7502378
title: IODP Expedition 350 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.7502377
title: IODP Expedition 350 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.7502380
title: IODP Expedition 350 Core summary

description: Report includes detailed core data: drilling and coring depths, advancement, recovered core length measured on the catwalk and final curated length, core recovery, and sections cut.
DOI: 10.5281/zenodo.7502379
title: IODP Expedition 350 Core summary

description: Report includes detailed core data: drilling and coring depths, advancement, recovered core length measured on the catwalk and final curated length, core recovery, and sections cut.
DOI: 10.5281/zenodo.7502382
title: IODP Expedition 350 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.7502381
title: IODP Expedition 350 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.7502384
title: IODP Expedition 350 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.7502383
title: IODP Expedition 350 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.4225/41/5a838ee04a9f1
title: right humerus of Gogonasus

description: This dataset is a CT scan of the right humerus of the tetrapodomorph Gogonasus from the Gogo Formation in Western Australia
DOI: 10.5281/zenodo.7502388
title: IODP Expedition 350 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.7502387
title: IODP Expedition 350 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.7502392
title: IODP Expedition 350 Core drilling summary

description: Report includes detailed drilling data for each core: pump(s) used, mud pumped, strokes, shear pins/pressure, bit size/rotation, weight on bit, top drive torque, rate of penetration, core jams, winch and wirelines, core catcher/shoe and barrel, and whether core orientation, drillover, formation temperature, tracers, liners were used.
DOI: 10.5281/zenodo.7502391
title: IODP Expedition 350 Core drilling summary

description: Report includes detailed drilling data for each core: pump(s) used, mud pumped, strokes, shear pins/pressure, bit size/rotation, weight on bit, top drive torque, rate of penetration, core jams, winch and wirelines, core catcher/shoe and barrel, and whether core orientation, drillover, formation temperature, tracers, liners were used.
DOI: 10.5281/zenodo.7502396
title: IODP Expedition 350 Gas safety report

description: This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).
DOI: 10.5281/zenodo.7502395
title: IODP Expedition 350 Gas safety report

description: This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).
DOI: 10.5281/zenodo.7502409
title: IODP Expedition 350 Hole drilling summary

description: Report includes detailed drilling data: BHA length, bit parameters, and primary depth measurements.
DOI: 10.5281/zenodo.7502408
title: IODP Expedition 350 Hole drilling summary

description: Report includes detailed drilling data: BHA length, bit parameters, and primary depth measurements.
DOI: 10.5281/zenodo.7502411
title: IODP Expedition 350 Hole summary

description: Report lists hole data: location, water depth, drilling, coring system, and core recovery.
DOI: 10.5281/zenodo.7502410
title: IODP Expedition 350 Hole summary

description: Report lists hole data: location, water depth, drilling, coring system, and core recovery.
DOI: 10.5281/zenodo.7502413
title: IODP Expedition 350 Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances. Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D). Dry volume (C or D) is measured by helium pycnometry. Submethods A and B are not recommended by IODP. Submethod C is suitable for saturated materials such as fine-grained sediments. Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.5281/zenodo.7502412
title: IODP Expedition 350 Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances. Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D). Dry volume (C or D) is measured by helium pycnometry. Submethods A and B are not recommended by IODP. Submethod C is suitable for saturated materials such as fine-grained sediments. Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.5281/zenodo.7502415
title: IODP Expedition 350 Salinity

description: Salinity was measured on interstitial water (IW) samples using an optical refractometer.
DOI: 10.5281/zenodo.7502414
title: IODP Expedition 350 Salinity

description: Salinity was measured on interstitial water (IW) samples using an optical refractometer.
DOI: 10.5281/zenodo.7502421
title: IODP Expedition 350 Sample report

description: Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.
DOI: 10.5281/zenodo.7502420
title: IODP Expedition 350 Sample report

description: Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.
DOI: 10.5066/p9hkuw17
title: Soil elevation change in mangrove forests and marshes of the Greater Everglades: a regional synthesis of surface elevation table-marker horizon (SET-MH) data

description: The surface elevation table (SET)-marker horizon (MH) approach (SET-MH, together) is a method for quantifying surface elevation change through measurements of surface and subsurface processes that control wetland soil elevation. This dataset combines SET-MH data from five different U.S. Geological Survey efforts to monitor surface elevation change in the coastal wetlands of the Greater Everglades region of south Florida. Data from these efforts have been used in the publications by Cahoon and Lynch (1997), Whelan et al. (2005, 2009), Smith et al. (2009), McKee (2011), Breithaupt et al. (2020), Feher et al. (2020), Howard et al. (2020), and Osland et al. (2020). Although some of these data have previously been released on ScienceBase as individual datasets (see Feher et al. 2019, Howard et al. 2019, Cormier et al. 2020, and Lynch et al. 2020), the dataset presented here combines these individual data releases into one single product and also includes new data that were collected after the original release of these data. These data were combined with additional SET-MH data provided by collaborators at the South Florida Water Management District, Florida International University, U.S. Fish and Wildlife Service, and U.S. National Park Service to provide a regional synthesis of available data regarding surface elevation change dynamics in coastal wetlands of the Greater Everglades.
DOI: 10.5281/zenodo.7502427
title: IODP Expedition 350 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.7502426
title: IODP Expedition 350 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.7502431
title: IODP Expedition 350 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.7502430
title: IODP Expedition 350 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.7502444
title: IODP Expedition 350 Thermal conductivity

description: Thermal conductivity was measured using the heated needle method in either full-space needle configuration (soft/saturated sediments) or half-space needle configuration (harder materials) of a TeKa Berlin TK-04 thermal conductivity meter. Heat is applied to the sample and then thermal equilibrium is sought. The heating and equilibration curve is reduced to derive the thermal conductivity value. Raw data are stored if a user wishes to do off-line or postexpedition reduction.
DOI: 10.5281/zenodo.7502443
title: IODP Expedition 350 Thermal conductivity

description: Thermal conductivity was measured using the heated needle method in either full-space needle configuration (soft/saturated sediments) or half-space needle configuration (harder materials) of a TeKa Berlin TK-04 thermal conductivity meter. Heat is applied to the sample and then thermal equilibrium is sought. The heating and equilibration curve is reduced to derive the thermal conductivity value. Raw data are stored if a user wishes to do off-line or postexpedition reduction.
DOI: 10.7303/syn35564295.1
title: Genome wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimers Disease related proteins
DOI: 10.5281/zenodo.7502446
title: IODP Expedition 350 Titration

description: Various chemical constituents (most commonly chloride) were measured by titration using either an autotitrator (chloride) or a manual titrator (other compounds). Chloride was measured by ion-selective electrode and a silver nitrate titration until all chloride is bound as silver chloride.
DOI: 10.5281/zenodo.7502445
title: IODP Expedition 350 Titration

description: Various chemical constituents (most commonly chloride) were measured by titration using either an autotitrator (chloride) or a manual titrator (other compounds). Chloride was measured by ion-selective electrode and a silver nitrate titration until all chloride is bound as silver chloride.
DOI: 10.17909/fjwx-ct07
title: NGC 3324

description: JWST, The Cosmic Cliffs
DOI: 10.5517/ccdc.csd.cc2bjxph
title: CCDC 2161217: Experimental Crystal Structure Determination

description: Related Article: Jisheng Luo, Yu Deng, Tianran Deng, Li Deng|2022|J.Am.Chem.Soc.|144|23264|doi:10.1021/jacs.2c10777
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: 10.6084/m9.figshare.21809631
title: Mussels and Scallops Data

description: PHYSIOLOGICAL-RESPONSES-OF-SCALLOPS-AND-MUSSELS-TO-ENVIRONMENTAL-VARIABILITY
DOI: 10.6084/m9.figshare.21809631.v1
title: Mussels and Scallops Data

description: PHYSIOLOGICAL-RESPONSES-OF-SCALLOPS-AND-MUSSELS-TO-ENVIRONMENTAL-VARIABILITY
DOI: 10.6084/m9.figshare.23932767
title: animal_6_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.6084/m9.figshare.23932767.v1
title: animal_6_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.5281/zenodo.8239500
title: Associated dataset for 'BAlGaN light emitting diode emitting at 350 nm'

description: The data provided herein contains the raw data used in the manuscript 'BAlGaN light emitting diode emitting at 350 nm'.