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opencc-by-4.0Dec 2024View details →

ABG-IMRHT and Ames-2000K IR line lists for N2O as reported in "Accurate N2O IR Line Lists with Consistent Empirical Line Positions: ABG-IMRHT and Ames-2000K"

[2025-06-17, v2.0, updated from v1.1 (<a href="https://doi.org/10.5281/zenodo.14834513">10.5281/zenodo.14834513</a>)] (1). This upgraded version is recommended for analysis involving B1b or ABG(-IMRHT) related line lists, or E' > 10,000 cm-1.    (2). Energy level lists computed on the B1b PES and related 296K ABG-IMRHT line intensity and line lists, and B1b-based 1000-3000K line list files have been updated, along with n2olist.f90.v1.4.  (3). The full 296 K IR line lists of all 12 stable isotopologues are provided in "n2o.296K.ABG-IMRHT.20250602.with.broadening.dat.v5corrected.100pct-abundance.xz", in which the line intensities assume 100% abundance for every isotopologue. (4). Please note that the B1b PES-based energy levels in "empirical.corrections.for.ABG-IMRHT.zip" are still valid, but the B1b PES based energy levels are not updated in the files inside that .zip.  [Link to <a href="https://www.sciencedirect.com/science/article/pii/S0022407325001645">the N2O paper</a> published at JQSRT (2025) 343, 109502, part of VSI:HITRAN2024, doi:<a href="https://doi.org/10.1016/j.jqsrt.2025.109502">10.1016/j.jqsrt.2025.109502</a>] [Updated from v1.0 (<a href="https://doi.org/10.5281/zenodo.14174307">10.5281/zenodo.14174307</a>). The J=151-210 transitions of 14N216O were missing from v1.0  files ] 1. Second generation of Ames-296K IR line list for "natural" Nitrous Oxide (N2O), denoted ABG-IMRHT, which was computed from Ames-B1b PES refinement (using Benjamin Schröder's ab initio PES Comp I, doi:10.1515/zpch-2015-0622) and 2023 dmsG-10K accurately fitted from CCSD(T)/aug-cc-pV(T,Q,5)Z dipoles. In this major upgrade to Ames-296K N2O line list (10.1080/00268976.2023.2232892 and 10.5281/zenodo.7888194), rovibrational energy levels computed from NOSL-296 EH model were adopted to match and replace ~100,000 14N216O levels.  More consistent empirical corrections are determined for multiple isotopologues from comparison with RITZ (IAO), MARVEL (ExoMol), HITRAN, and JPL datasets.  The ABG-IMRHT line list provides the most reliable and consistent IR intensity predictions and accurate line positions in the range of 0 - 10,000 cm-1. All 12 stable isotopologues are included.  2. Ames-2000K IR line list provides complete, reliable and consistent IR predictions in the 0 - 15,000 cm-1 range. It includes transitions of 12 isotopologues. Their intensities are scaled by corresponding terrestrial "natural" abundances. Ames-2000K is a composite list, including 4 component lists, to achieve better accuracy and reliability needs at both shorter and longer wavelengths:  <ul> <li>#1. a hot line list of 14N216O, computed on Ames-1 PES and 2023 dmsG-wgt2d, J'<210, E'<25,000 cm-1, T=1000 / 1500 / 2000 / 3000 K.  It occupies 24 GB in compressed .xz format.  </li> <li>#2. 1000 K line lists of #2-#12 minor isotopologues, computed on Ames-1 PES and DMS, J'<150, E'<0.125 au - zpe (iso 2-6) or 0.08 -0.10 au - zpe (iso 7-12), S1000K > 10-34 cm/molecule, size-reduction with 99.9% intensity conservation in cm-1 bins. </li> <li>#3. a hot line list of 14N216O, computed on Ames-B1b PES and 2023 dmsG-10Kcm-1, J'<150, E'<16,000 cm-1, T=1000 / 1500 / 2000 / 3000 K.</li> <li>#4. ABG-IMRHT IR line list at 296 K, J'<150, E'<16,000 cm-1, with best empirical line positions and highly consistent intensity predictions up to 10,000 cm-1.  Coverage beyond 10,000 cm-1 is limited to strong lines.</li> </ul> 3. List of files:  (decompress .xz files first, "xz -dkf -T0 file.xz") <ul> <li>IAO_N2O_levels.tar.xz:  rovibrational energy levels of 6 N2O isotopologues, as computed using global Effective Hamiltonian (EH) models developed by Dr. Sergey Tashkun from IAO (Institute of Atmospheric Optics, Tomsk, Russia, <a href="https://www.iao.ru/">https://www.iao.ru/</a>).  </li> <li>N2O.Ames-B1b.PES.and.Ames-2023.DMS.zip:   Ames-B1b PES subroutine & coefficient file, see the note in n2opes2.f90; Ames 2023 dmsG subroutine and coefficients for fits up to 10K/12K/15K/17K/20K/25K cm-1, along with fitting residuals and compared to Ames-1 style (dmsC) coeffs and residuals.  The geometry set has ~80 points in each 100 cm-1.  </li> <li>n2olist.f90.v1.4:  the main Fortran program for Ames-2000K generation, customizable, see the note at its beginning.  [ default Ames-2000K = Ames-1 (12 iso) + [B1b (446) + ABG-IMRHT (12 iso)] if (E'<15,000 cm-1 & J<=150) ] </li> <li>empirical.corrections.for.ABG-IMRHT.zip: subroutine and paired/corrected energy level lists used in the empirical correction of energy levels computed on B1b PES [this file is not updated from v1.1 to v2.0] </li> <li>n2o.partition.1-4000K.iso.1-12.scaled: partition sum for 12 isotopologues, input file required by n2olist.f90, excluding g_n n2o.partition.1-4000K.iso.1-12.scaled.with.degeneracy.txt:  same as above, g_n included, see the note inside </li> <li>list.of.n2o.xz.files :  list of .xz files to read/regenerate from, under subdir "xz", input file required by n2olist.f90 ames.n2o.xx000-yy000.cm-1.xz:  compressed data files for Ames-2000K (line list component #1+#2) </li> <li>n2o.iso1-12.levels.Ames-1.dat.xz:  energy levels of 12 N2O isotopologues on Ames-1 PES, input file required by n2olist.f90 </li> <li>n2o.446.B1b-PES.levels.xz:  energy levels of 14N216O computed on Ames-B1b PES, input file to n2olist.f90 </li> <li>n2o.446.B1b-dmsG10K.1000K-3000K.Eup16K.0-10Kcm-1.compressed.xz: data file for 14N216O hot list on Ames-B1b and dms 2023-G10K (component #3), input file required by n2olist.f90 n2o.446.B1b-dmsG10K.1000K-3000K.Eup16K.0-10Kcm-1.dat.xz:  independent line list (component #3) </li> <li>n2o.iso1-12.levels.ABG-IMRHT.dat.xz:  energy levels in ABG-IMRHT list, with empirical corrections included, input file required by n2olist.f90</li> <li>n2o.296K.ABG-IMRHT.20250602.dat.v5.corrected.xz:  Latest Ames-296K line list with empirical energy level corrections (component #4), input file for n2olist.f90 n2o.296K.ABG-IMRHT.20250602.with.broadening.dat.v5.corrected.xz:  same as above, in HITRAN format, including line-broadening parameters </li> <li>n2o.296K.ABG-IMRHT.20250602.dat.v5corrected.100pct-abundance.xz: Latest Ames-296K line list with empirical energy level corrections, including the full set of IR transitions for 12 stable isotopologues, assuming 100% abundannce for every isotopologue, and 1E-31 cm/molecule intensity cut-off at 296 K.</li> <li>n2o.296K.ABG-IMRHT.20250602.with.broadening.dat.v5corrected.100pct-abundance.xz:  same as above, in HITRAN format, including line-broadening parameters </li> <li>ames.n2o.intensity.xz:  line count and intensity sum (original, selected, iso #1 and iso #2-12)  in each 0.01 cm-1 bins at 296 K, 1000 K, 1500 K, 2000 K, and 3000 K, for reference and statistics, optional input file to n2olist.f90 </li> <li>ames.n2o.sint.reductions.xz: A check-point file during Ames-2000K file generation, for reference only. including # of lines (total & selected), intensity sum (total, iso #1, iso #2-12), and intensity retention ratio in each 0.01 cm-1 bins for total, iso #1, and iso #2-12. </li> </ul> 4. List of 12 isotopologues, abundances adopted, and number of lines in ABG-IMRHT and Ames-2000K line list,  [updated 2025-06-17 v2.0: the #lines in ABG-IMRHT are updated to S(296K) cut-off at 1E-31 cm/molecule, instead of 5E-31] <table> <tbody> <tr> <td>#</td> <td>ISO</td> <td>abundance</td> <td># lines in ABG-IMRHT</td> <td># lines in Ames-2000K</td> </tr> <tr> <td>1</td> <td>446</td> <td>0.990333</td> <td>1388017</td> <td>3014643103</td> </tr> <tr> <td>2</td> <td>456</td> <td>3.64093E-3</td> <td>375541</td> <td>97932924</td> </tr> <tr> <td>3</td> <td>546</td> <td>3.64093E-3</td> <td>411353</td> <td>118432059</td> </tr> <tr> <td>4</td> <td>448</td> <td>1.98582E-3</td> <td>377552</td> <td>88169721</td> </tr> <tr> <td>5</td> <td>447</td> <td>3.69280E-4</td> <td>238921</td> <td>40212389</td> </tr> <tr> <td>6</td> <td>556</td> <td>1.33858E-5</td> <td>93933</td> <td>7534736</td> </tr> <tr> <td>7</td> <td>548</td> <td>7.30080E-6</td> <td>93674</td> <td>5583963</td> </tr> <tr> <td>8</td> <td>458</td> <td>7.30080E-6</td> <td>86446</td> <td>4995485</td> </tr> <tr> <td>9</td> <td>547</td> <td>1.35765E-6</td> <td>55360</td> <td>2588347</td> </tr> <tr> <td>10</td> <td>457</td> <td>1.35765E-6</td> <td>50754</td> <td>2275332</td> </tr> <tr> <td>11</td> <td>558</td> <td>2.68412E-8</td> <td>15814</td> <td>500190</td> </tr> <tr> <td>12</td> <td>557</td> <td>4.99134E-9</td> <td>8537</td> <td>274623</td> </tr> <tr> <td> </td> <td>Total</td> <td>1.00000069</td> <td>3195902</td> <td>3383142872</td> </tr> </tbody> </table> 5. This project is funded by NASA Grant 18-APRA18-0013 through NASA/SETI Institute Co-operative Agreement 80NSSC20K1358.  Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center.

opencc-by-4.0Sep 2019View details →

EMU Historical: member state positions on fiscal reforms, 1992-2010

The EMU Historical dataset reports the positions of EU member states on 44 contested issues related to economic and fiscal reforms between 1992 and 2010. Interactive data portal available at <a href="https://emuchoices.eu/data/emuh/">EMUchoices.eu/data/emuh/</a>. Data are based on existing academic literature and primary documents from the Secretariat of the Council. The dataset was compiled by the EMU Choices consortium, which has received funding from the European Union’s Horizon research and innovation programme under grant agreement No. 649532.

opencc-by-4.0May 2019View details →

SQLite database to accompany the paper, "Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring"

This dataset is a SQLite database that accompanies methods and analysis described in the paper, "Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring" (Balantic & Donovan 2019, Bioacoustics, https://www.tandfonline.com/doi/full/10.1080/09524622.2019.1605309).  A Github repository containing code for using the SQLite database also accompanies this paper at: <a href="https://github.com/cbalantic/false-positive-mitigation">http://github.com/cbalantic/false-positive-mitigation</a>

opencc-by-4.0Aug 2023View details →

Monthly and Annual contour lines of the zero and the positive maximum of the Wind Stress Curl over Western North Atlantic during 1980-2019 and the Gulf Stream path during 1993-2019.

This dataset includes multiple fields: (i) files for monthly and annual fields for the max curl line and the zero curl line at 0.1 degree longitudinal resolutions; (ii) files for monthly and annual GS path obtained from Altimetry and originally processed by Andres (2016) at 0.1 degree longitudinal resolution. The maximum curl line (MCL) and the zero curl line (ZCL) calculations are briefly described here and are based on the original wind data (at 1.25 x 1.25 degree) provided by the Japanese reanalysis (JRA-55; Kobayashi et al., 2015) and available at https://zenodo.org/record/8200832 (Gifford et al. 2023). For details see Gifford, 2023.  The wind stress curl (WSC) fields used for the MCL and ZCL calculations extend from 80W to 45W and 30N to 45N at the 1.25 by 1.25-degree resolution.  The MCL is defined as the maximum WSC values greater than zero within the domain per 1.25 degree longitude. As such, it is a function of longitude and is not a constant WSC value unlike the zero contour. High wind stress curl values that occurred near the coast were not included within this calculation. After MCL at the 1.25 resolution was obtained the line was smoothed with a gaussian smoothing and interpolated on to a 0.1 longitudinal resolution. The smoothed MCL lines at 0.1 degree resolution are provided in separate files for monthly and annual averages (2 files). Similarly, 2 other files (monthly and annual) are provided for the ZCL.     Like the MCL, the ZCL is a line derived from 1.25 degree longitude throughout the domain under the condition that it's the line of zero WSC. The ZCL is constant at 0 and does not vary spatially like the MCL. If there are more than one location of zero curl for a given longitude the first location south of the MCL is selected. Similar to the MCL, the ZCL was smoothed with a gaussian smoothing and interpolated on to a 0.1 longitudinal resolution.    The above files span the years from 1980 through 2019. So, the monthly files have 480 months starting January 1980, and the annual files have 40 years of data. The files are organized with each row being a new time step and each column being a different longitude. Therefore, the monthly MCL and ZCL files are each 480 x 351 for the 0.1 resolution data. Similarly, the annual files are 40 x 351 for the 0.1 degree resolution data.   Note that the monthly MCLs and ZCLs are obtained from the monthly wind-stress curl fields. The annual MCLs and ZCLs are obtained from the annual wind-stress curl fields. Since the monthly curl fields preserves more atmospheric mesoscales than the annual curl fields, the 12-month average of the monthly MCLs and ZCLs will not match with the annual MCLs and ZCLs derived from the annual curl field.  The annual MCLs and ZCLs provided here are obtained from the annual curl fields and representative metrics of the wind forcing on an annual time-scale.  Furthermore, the monthly Gulf Stream axis path (25 cm isoheight from Altimeter, reprocessed by Andres (2016) technique) from 1993 through 2019 have been made available here. A total of 324 monthly paths of the Gulf Stream are tabulated. In addition, the annual GS paths for these 27 years (1993-2019) of altimetry era have been put together for ease of use. The monthly Gulf Stream paths have been resampled and reprocessed for uniqueness at every 0.1 degree longitude from 75W to 50W and smoothed with a 100 km (10 point) running average via matlab. The uniqueness has been achieved by using Consolidator algorithm (D’Errico, 2023).  Each monthly or annual GS path has 251 points between 75W to 50W at 0.1 degree resolution.

Landscape Position Project at North Temperate Lakes LTER: Fish 1998 - 1999

As part of the Landscape Position Project, we conducted fish sampling on each of 26 lakes using a variety of gear types. Sampling was conducted beginning in the 3rd week in June and running through the endof July in 1998. In 1999, sampling was conducted from early July through August. We used vertical gillnets of various mesh sizes (19, 32, 51, 64, 89-mm stretch mesh) to sample pelagic fishes. The nets were fished in the deep basin of each lake for one diel cycle. We used fyke nets to sample fishes in the shallow near shore areas. Three nets were set, one each at differing locations defined by substrate type (muck, sand and cobble) for one diel cycle. Three crayfish traps were set along side each of the fyke nets. We performed electrofishing over two, 30 minute transects along the near shore area between 0.3 and 1.5-m in depth. Our goal was to capture, identify and measure as many game and non-game fish species as possible Sampling Frequency: one survey on each lake in late June through August of 1998 or 1999 Number of sites: 26

Landscape Position Project at North Temperate Lakes LTER: Aquatic Macrophytesn 1998 - 1999

Submersed and floating macrophytes were surveyed along transects running perpendicular to shore at two sites representative of muck (organic) and sand substrate macrophyte communities. Data were collected by Karen A. Wilson as part of her PhD work in Northern Wisconsin, (Vilas and Onieda Counties) during July and August of 1998 and 1999. Details of field collections can be found in Wilson, K.A. 2002. Impacts of the invasive rusty crayfish (Orconectes rusticus) in northern Wisconsin lakes. Ph.D. Dissertation. University of Wisconsin, Madison. Number of sites: 30 lakes; 2 sites per lake

Landscape Position Project at North Temperate Lakes LTER: Chemical Limnology 1998 - 2000

Parameters characterizing the chemical limnology and spatial attributes of 51 lakes were surveyed as part of the Landscape Position Project. Parameters are measured at or close to the deepest part of the lake. The following parameters are measured one meter from the surface and two meters from the bottom of the lake: pH, total phosphorus, total nitrogen, total silica. The following parameters are measured one meter from the surface: dissolved organic carbon, total organic carbon, dissolved inorganic carbon, total inorganic carbon, spectrophotometric absorbance (color scan), major anions and cations, alkalinity. Sampling Frequency: once for conservative parameters (major ions, carbon, color, alkalinity); monthly for one summer for other parameters (chlorophyll, nitrogen, phosphorus, pH, silica, temperature, dissolved oxygen, and conductivity) Number of sites: 51

Landscape Position Project at North Temperate Lakes LTER: Chlorophyll 1998 - 2000

Parameters characterizing the chemical limnology and spatial attributes of 49 lakes were surveyed as part of the Landscape Position Project. Most parameters are measured at or close to the deepest part of the lake. Chlorophyll is measured by collecting separate integrated samples from the epilimnion, metalimnion, and hypolimnion Sampling Frequency: generally monthly for one summer; for some lakes, one or two samples in one summer Number of sites: 51

Landscape Position Project at North Temperate Lakes LTER: Lake Characteristics 1998 - 2000

Parameters characterizing the chemical limnology and spatial attributes of 47 lakes were surveyed as part of the Landscape Position Project. Lake characteristics compiled here include lake area and perimeter, catchment area, mean and maximum depth, shoreline development factor, elevation and percent wetlands within catchment area. Lake order was determined using a modification of the method of Riera et al. (2000). Lake order is a numerical surrogate for groundwater influx and hydrological position along a drainage network, with the highest number indicating the lake lowest in a watershed. Lake order for each lake was determined by field visit with presence/absence of streams confirmed, not base solely on topographic maps. Riera, Joan L., John J. Magnuson, Tim K. Kratz, and Katherine E. Webster. 2000. A geomorphic template for the analysis of lake districts applied to Northern Highland Lake District, Wisconsin, U.S.A. Freshwater Biology 43:301-18. Number of sites: 49

Landscape Position Project at North Temperate Lakes LTER: Vertical Lake Profiles 1998 - 1999

Parameters characterizing the chemical limnology and spatial attributes of 45 lakes were surveyed as part of the Landscape Position Project. Parameters are measured at or close to the deepest part of the lake. A vertical profile of temperature, dissolved oxygen, and conductivity are collected at 1 meter increments Sampling Frequency: generally monthly for one summer; for some lakes, one or two samples in one summer Number of sites: 45

Landscape Position Project at North Temperate Lakes LTER: Benthic Invertebrate Abundance 1998 - 1999

Benthic invertebrate assemblages of 32 lakes were surveyed as part of the Landscape Position Project. We used modified Hester-Dendy colonization substrates to sample benthic invertebrate communities. Each sampling device consisted of a 3"x3" top plate, alternating layers of course and fine mesh, a ''choreboy'' commercial scrubbing puff, alternating layers of coarse (6.35 mm) and fine (3.18 mm) black plastic mesh, and a 3"x3" bottom plate. Two Hester-Dendy samplers were set at a depth of one meter on each of three substrate types (cobble, sand and silt) within each lake for four weeks in late June through late July in either 1998 or 1999. Within each lake, areas of different substrate types were identified using WI-DNR depth contour lake maps, and substrate type was verified by direct observation. Different substrates were sampled to account for invertebrate associations with specific substrate characteristics. Lake order was determined using a modification of the method of Riera et al. (2000). Lake order is a numerical surrogate for groundwater influx and hydrological position along a drainage network, with the highest number indicating the lake lowest in a watershed. Riera, Joan L., John J. Magnuson, Tim K. Kratz, and Katherine E. Webster. 2000. A geomorphic template for the analysis of lake districts applied to Northern Highland Lake District, Wisconsin, U.S.A. Freshwater Biology 43:301-18. Sampling Frequency: one survey on each lake in late June through late July of 1998 or 1999 Number of sites: 32

Landscape Position Project at North Temperate Lakes LTER: Fish Growth and Mercury Contaminant Data 1998 - 1999

As part of the Landscape Position Project, yellow perch were collected for mercury and isotope analysis by a combination of angling, beach seining, vertical gill net, fyke net and electrofishing in the summers of 1998 and 1999. A total of 86 yellow perch from 25 lakes were analyzed. Scales were used to determine age and length at ages 1 to 3 years. The nitrogen stable isotope signature indicates the relative food-web position of the fish relative to cladocerans collected from the same lake. The N_SIGNATURE value divided by 3.2 gives trophic position relative to cladoceran Sampling Frequency: one survey on each lake in late June through late July of 1998 or 1999 Number of sites: 25

Landscape Position Project at North Temperate Lakes LTER: Fish Mercury Level 1998 - 1999

opencc-by-4.0Aug 2023View details →

Zero-degree isotherm latitude (ZIL) position over Antarctica: Historical and Projections

This is the dataset associated to the research 'Southward migration of the zero-degree isotherm latitude over the Southern Ocean and the Antarctic Peninsula: extent and implications' published in Science of the Total Environment.This repository contains:<ul><li>ZIL_ERA5_1957-2020_position.zip: Historical position of the ZIL for every longitude point in ERA5 from 1957 to 2020 for different seasons. Files named:<ul><li>ZIL_ERA5_1957-2020[season]position.csv<ul><li>Dimensions: [lons, years]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_ERA5_1957-2020_timeseries.csv: Historical spatially averaged position of the ZIL for Antartica (Ant) and the Antarctic Peninsula (AP) in ERA5 from 1957 to 2020 for different seasons. File named:<ul><li>ZIL_ERA5_1957-2020_timeseries.csv<ul><li>Dimensions: [years, season_area]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_ERA5_1957-2020_meanposition.csv: Historical temporally averaged position of the ZIL in ERA5 from 1957 to 2020 for different seasons and months. File named:<ul><li>ZIL_ERA5_1957-2020_meanposition.csv<ul><li>Dimensions: [lons, season/month]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_Historical_position.zip: Mean position of the ZIL for every longitude point in Historical simulations of CEMIP6 from 1957 to 2014 for different seasons. Files named:<ul><li>ZIL_CEMIP6_Hist_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_SSP2-45.zip: Mean position of the ZIL for every longitude point under the SSP2-4.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 for different seasons. Files named:<ul><li>ZIL_CEMIP6_SSP2-45_2040-69_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li><li>ZIL_CEMIP6_SSP2-45_2070-99_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_SSP5-85.zip: Mean position of the ZIL for every longitude point under the SSP5-8.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:<ul><li>ZIL_CEMIP6_SSP5-85_2040-69_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li><li>ZIL_CEMIP6_SSP5-85_2070-99_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li></ul>seasons are:<ul><li>ANN: Annual mean</li><li>DJF: December-January-February (Summer)</li><li>MAM: March-April-May (Autumn)</li><li>JJA: June-July-August (Winter)</li><li>SON: September-October-November (Spring)</li></ul>areas are:<ul><li>Ant: All Antarctica</li><li>AP: Antarctic Peninsula</li></ul>Note: CEMIPT6 models include a column with CEMIP6 model averageVersion controlv1.0 - Initial version v1.1 - Change ERA5 dataset calculations from preliminary version of ERA5 to final version of ERA5 How to citeIf you use this dataset, please cite the accompanying paper as: Complementary codeYou can find the jupyter notebooks to complement the research in: <a href="https://doi.org/10.5281/zenodo.10063849">https://doi.org/10.5281/zenodo.10063849</a> ContactIf you have any question, please contact with Sergi at <a href="mailto:sergi.gonzalez@slf.ch">sergi.gonzalez@slf.ch</a>

opencc-by-4.0Dec 2023View details →

Thigh Accelerometry Position Study

The Thigh Accelerometry Position Study (TAPS) provides raw sensor data of thigh-worn accelerometer measurements that are collected simultaneously at different positions on the thigh, i.e., centre vs. upper thigh. Thirty-six participants wore two accelerometers for up to seven days during everyday life.TAPS allows existing and newly developed algorithms to be validated with respect to these different placements.The data is accompanied by a study description that provides details of the data collection and available data (<a href="https://zenodo.org/api/records/10150882/draft/files/TAPS_Study_Description_v1.pdf/content">TAPS_Study_Description_v1.pdf</a>. Structured metadata is available in DDI format in <a href="https://zenodo.org/api/records/10150882/draft/files/TAPS_DDI_Metadata_v1.xml/content">TAPS_DDI_Metadata_v1.xml</a>). The instructions, questionnaire and participant information used in TAPS are available in English and German (<a href="https://zenodo.org/api/records/10150882/draft/files/TAPS_FieldworkDocuments.zip/content">TAPS_FieldworkDocuments.zip</a>).

opencc-by-4.0Dec 2021View details →

5GENESIS-BERLIN-2021-POSITION-V1.0

Per-client position trace of longitute, latitude, and altitude, using available geolocation techniques, primarily GPS.Per-client position trace of longitute, latitude, and altitude, using available geolocation techniques, primarily GPS.

opencc-by-4.0Sep 2022View details →

Heliostat field positions after optimization with DLR's software HFLCAL

The dataset provides the design of the heliostat field layout, in terms of number and positions. The filed layout is optimized by minimizing the estimated LCOE of the system, using the DLR tool Visual HFLCAL software The datasets could help other people design a heliostat field. For detailed analysis, please refer to Deliverable 1.2 (Process Parameters of Solar Particle Cycle) to be downloaded at:  <a href="https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf">https://www.compassco2.eu/wp-content/uploads/2022/03/Deliverable1.2_COMPASsCO2_V2.pdf</a>

opencc-by-4.0Apr 2019View details →

Dataset: Eigenmike-DRIRs, KEMAR 45BA-BRIRs, RIRs and 360° pictures captured at five positions of a small conference room

A data set was created to study the position dependent perception of room acoustics in case of a small conference room. Binaural room impulse responses (BRIRs) were measured with KEMAR 45BA at 5 different potential listening positions. To keep the direct sound similar the Genelec 1030A two-way loudspeaker was always placed at a distance of 2.5m. In one condition, the loudspeaker was turned towards the listening position, in the other condition it was turned by 180° to achieve an indirect reproduction with low direct sound energy. Furthermore, an mh acoustics Eigenmike was placed at each of the five listening positions and 32-channel directional room impulses responses (DRIRs) as well as an omnidirectional room impulse response (RIR) were captured where the center of the head was placed before. Additionally, 360° visual footages were captured with a GoPro Omni spherical camera array to provide audiovisual impressions of the listening situation at the five positions.