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12,237 results for “2019”

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zenodo40/100

Fig. 1 in The genus Parbatthorax Tanasevitch, 2019 (Araneae, Linyphiidae) new to China, with a new species from the Gaoligong Mountains

Fig. 1. Parbatthorax proiectus sp. nov., ♂, holotype (CGY107) (A–B) and ♀, one of the paratypes collected with the holotype (CGY107) (C–D). A, C. Habitus, dorsal view. B, D. Habitus, ventral view. Scale bars: 0.5 mm.

opencc-by-4.0Sep 2019View details →
zenodo40/100

Fig. 3 in The genus Parbatthorax Tanasevitch, 2019 (Araneae, Linyphiidae) new to China, with a new species from the Gaoligong Mountains

Fig. 3. Parbatthorax proiectus sp. nov., ♂, one of the paratypes collected with the holotype (CGY107). A. Embolic division, ventral view. B. Embolic division, retrolateral view. C. Cephalothorax, anterodorsal view. D. Prosoma, lateral view. Scale bars: A–B = 0.1 mm; C–D = 0.2 mm.

opencc-by-4.0Sep 2019View details →
zenodo40/100

Festival of Frequency Measurement dataset - WV5L 34.10 -84.46 5 MHz Oct 1 2019

<p>Festival of Frequency Measurement Submission</p> <p>event: WWV Centenial</p> <p>UTC Date: 01 Oct 2019 (starting 30 Sep 2300z, ending 2 Oct 0100z)</p> <p>beacon frequency: 5 MHz</p> <p>station name: WV5L, operated by Vance Loen</p> <p>lat long: 34.10 -84.46</p> <p>city: Woodstock</p> <p>state: Georgia US</p> <p>difficulties: poor propagation Oct 01 from about 1600 to 2000 UTC between Ft. Collins and Woodstock</p> <p>equipment: Icom IC-7610 with Leo Bodnar GPSDO, antenna 96-foot dipole with ladder line (ZS6BKW design)</p> <p>tuning technique: receiver was tuned to 4999.00 KHz, upper sideband, 2.1KHz bandwidth, preamp off, AGC mid, 1 KHz detected audio captured from internal sound card, calibrated&nbsp;and logged by FLDIGI 4.1.08.</p> <p>propagation path: sky wave, about 1215 miles/1955 Km</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Compilation of Moon internal structure models and seismic event locations presented in Garcia et al., Space Science Review, 2019 study

<p>Compilation of of previously published internal structure model of the Moon in &quot;named discontinuities&quot; seismological format + 3 new models associated to the above mentioned study + previously published Moon quake location estimates by various authors.</p> <p>The study, the internal structure models and quake locations compilation were performed by the ISSI international research team on Moon Seismology and internal structure described here: http://www.issibern.ch/teams/internstructmoon/</p>

opencc-by-4.0Aug 2019View details →
zenodo40/100

Dataset for Katkov et al. 2019: "Intra-annual variation in the response of phytoplankton to factorial manipulation of N, P and CO2 in a temperate mesotrophic lake"

<p>A set of five mesocsm&nbsp;experiments evaluating the phytoplankton biomass and community composition responses&nbsp;to the enrichment of N, P and CO2 in all possible combinations (factorial design).</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

NEGI Abisko 2019 preparation dataset

<p>Dataset used in preparation for NEGI-Abisko 2019 course. See&nbsp;<a href="https://nordicesmhub.github.io/NEGI-Abisko-2019">https://nordicesmhub.github.io/NEGI-Abisko-2019</a></p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Dataset of ICDAR 2019 Competition on Post-OCR Text Correction

<p><strong>Corpus for the ICDAR2019 Competition on Post-OCR Text Correction (October 2019)</strong><br> Christophe Rigaud, Antoine Doucet, Mickael Coustaty, Jean-Philippe Moreux<br> <a href="http://l3i.univ-larochelle.fr/ICDAR2019PostOCR">http://l3i.univ-larochelle.fr/ICDAR2019PostOCR</a><br> -------------------------------------------------------------------------------</p> <p>These are the supplementary materials for the ICDAR 2019 paper&nbsp;<em><a href="https://zenodo.org/record/3459116">ICDAR 2019 Competition on Post-OCR Text Correction</a></em></p> <p>Please use the following citation:</p> <pre><code>@inproceedings{rigaud2019pocr,</code> <code> </code><code>title=&quot;ICDAR 2019 Competition on Post-OCR Text Correction&quot;,</code> <code> </code><code>author={Rigaud, Christophe and Doucet, Antoine and Coustaty, Mickael and Moreux, Jean-Philippe},</code> <code> </code><code>year={2019},</code> <code> </code><code>booktitle={Proceedings of the 15th International Conference on Document Analysis and Recognition (2019)}</code> <code> </code><code>}</code></pre> <p>&nbsp;</p> <p><strong>Description</strong><br> The corpus accounts for 22M OCRed characters along with the corresponding Gold Standard (GS). The documents come from different digital collections available, among others, at the National Library of France (BnF) and the British Library (BL). The corresponding GS comes both from BnF&#39;s internal projects and external initiatives such as Europeana Newspapers, IMPACT, Project Gutenberg, Perseus and Wikisource.</p> <p><strong>Repartition of the dataset</strong><br> - <em>ICDAR2019_Post_OCR_correction_training_18M.zip</em>: 80% of the full dataset, provided to train participants&#39; methods.<br> - <em>ICDAR2019_Post_OCR_correction_evaluation_4M</em>: 20% of the full dataset used for the evaluation (with Gold Standard made publicly after the competition).<br> - <em>ICDAR2019_Post_OCR_correction_full_22M</em>: full dataset made publicly available after the competition.</p> <p><strong>Special case for Finnish language</strong><br> Material from the National Library of Finland (<em>Finnish dataset FI &gt; FI1</em>) are not allowed to be re-shared on other website. Please follow these guidelines to get and format the data from the original website.</p> <p>1. Go to <a href="https://digi.kansalliskirjasto.fi/opendata/submit?set_language=en">https://digi.kansalliskirjasto.fi/opendata/submit?set_language=en</a>;<br> 2. Download <em>OCR Ground Truth Pages (Finnish Fraktur) [v1](4.8GB)</em> from <em>Digitalia (2015-17)</em> package;<br> 3. Convert the Excel file &quot;<em>~/metadata/nlf_ocr_gt_tescomb5_2017.xlsx</em>&quot; as Comma Separated Format (.csv) by using <em>save as</em> function in a spreadsheet software (e.g. Excel, Calc) and copy it into &quot;<em>FI/FI1/HOWTO_get_data/input/</em>&quot;;<br> 4. Go to &quot;<em>FI/FI1/HOWTO_get_data/</em>&quot; and run &quot;<em>script_1.py</em>&quot; to generate the <em>full</em> &quot;<em>FI1</em>&quot; dataset in &quot;<em>output/full/</em>&quot;;<br> 4. Run &quot;<em>script_2.py</em>&quot; to split the &quot;<em>output/full/</em>&quot; dataset into &quot;<em>output/training/</em>&quot; and &quot;<em>output/evaluation/</em>&quot; sub sets.<br> At the end of the process, you should have a &quot;<em>training</em>&quot;, &quot;<em>evaluation</em>&quot; and &quot;<em>full</em>&quot; folder with 1579528, 380817 and 1960345 characters respectively.</p> <p><br> <strong>Licenses: free to use for non-commercial uses, according to sources in details</strong><br> - BG1: IMPACT - National Library of Bulgaria: CC BY NC ND<br> - CZ1: IMPACT - National Library of the Czech Republic: CC BY NC SA<br> - DE1: Front pages of Swiss newspaper NZZ: Creative Commons Attribution 4.0 International (<a href="https://zenodo.org/record/3333627">https://zenodo.org/record/3333627</a>)<br> - DE2: IMPACT - German National Library: CC BY NC ND<br> - DE3: GT4Hist-dta19 dataset: CC-BY-SA 4.0 (<a href="https://zenodo.org/record/1344132">https://zenodo.org/record/1344132</a>)<br> - DE4: GT4Hist - EarlyModernLatin: CC-BY-SA 4.0 (<a href="https://zenodo.org/record/1344132">https://zenodo.org/record/1344132</a>)<br> - DE5: GT4Hist - Kallimachos: CC-BY-SA 4.0 (<a href="https://zenodo.org/record/1344132">https://zenodo.org/record/1344132</a>)<br> - DE6: GT4Hist - RefCorpus-ENHG-Incunabula: CC-BY-SA 4.0 (<a href="https://zenodo.org/record/1344132">https://zenodo.org/record/1344132</a>)<br> - DE7: GT4Hist - RIDGES-Fraktur: CC-BY-SA 4.0 (<a href="https://zenodo.org/record/1344132">https://zenodo.org/record/1344132</a>)<br> - EN1: IMPACT - British Library: CC BY NC SA 3.0<br> - ES1: IMPACT - National Library of Spain: CC BY NC SA<br> - FI1: National Library of Finland: no re-sharing allowed, follow the above section to get the data. (<a href="https://digi.kansalliskirjasto.fi/opendata">https://digi.kansalliskirjasto.fi/opendata</a>)<br> - FR1: HIMANIS Project: CC0 (<a href="https://www.himanis.org/">https://www.himanis.org</a>)<br> - FR2: IMPACT - National Library of France: CC BY NC SA 3.0<br> - FR3: RECEIPT dataset: CC0 (<a href="http://findit.univ-lr.fr/">http://findit.univ-lr.fr</a>)<br> - NL1: IMPACT - National library of the Netherlands: CC BY<br> - PL1: IMPACT - National Library of Poland: CC BY<br> - SL1: IMPACT - Slovak National Library: CC BY NC</p> <p>Text post-processing such as cleaning and alignment have been applied on the resources mentioned above, so that the Gold Standard and the OCRs provided are not necessarily identical to the originals.</p> <p><br> <strong>Structure</strong><br> - **Content** [<em>./lang_type/sub_folder/#.txt</em>]<br> &nbsp;&nbsp; &nbsp;- &quot;<em>[OCR_toInput] </em>&quot; =&gt; Raw OCRed text to be de-noised.<br> &nbsp;&nbsp; &nbsp;- &quot;<em>[OCR_aligned] </em>&quot; =&gt; Aligned OCRed text.<br> &nbsp;&nbsp; &nbsp;- &quot;<em>[ GS_aligned] </em>&quot; =&gt; Aligned Gold Standard text.</p> <p>The aligned OCRed/GS texts are provided for training and test purposes. The alignment was made at the character level using &quot;<em>@</em>&quot; symbols. &quot;<em>#</em>&quot; symbols correspond to the absence of GS either related to alignment uncertainties or related to unreadable characters in the source document. For a better view of the alignment, make sure to disable the &quot;word wrap&quot; option in your text editor.</p> <p>The Error Rate and the quality of the alignment vary according to the nature and the state of degradation of the source documents. Periodicals (mostly historical newspapers) for example, due to their complex layout and their original fonts have been reported to be especially challenging. In addition, it should be mentioned that the quality of Gold Standard also varies as the dataset aggregates resources from different projects that have their own annotation procedure, and obviously contains some errors.</p> <p><br> <strong>ICDAR2019 competition</strong><br> Information related to the tasks, formats and the evaluation metrics are details on :<br> <a href="https://sites.google.com/view/icdar2019-postcorrectionocr/evaluation">https://sites.google.com/view/icdar2019-postcorrectionocr/evaluation</a></p> <p><br> <strong>References</strong><br> &nbsp;- IMPACT, European Commission&#39;s 7th Framework Program, grant agreement 215064<br> &nbsp;- Uwe Springmann, Christian Reul, Stefanie Dipper, Johannes Baiter (2018). Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin.<br> &nbsp;- <a href="https://digi.nationallibrary.fi/">https://digi.nationallibrary.fi</a> , Wiipuri, 31.12.1904, Digital Collections of National Library of Finland<br> - EU Horizon 2020 research and innovation programme grant agreement No 770299</p> <p><br> <strong>Contact</strong><br> - christophe.rigaud(at)univ-lr.fr<br> - antoine.doucet(at)univ-lr.fr<br> - mickael.coustaty(at)univ-lr.fr<br> - jean-philippe.moreux(at)bnf.fr</p> <p>L3i - University of la Rochelle, <a href="http://l3i.univ-larochelle.fr/">http://l3i.univ-larochelle.fr</a><br> BnF - French National Library, <a href="http://www.bnf.fr/">http://www.bnf.fr</a></p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Data-base of CH4 and ancillary data in the Belgian Coastal Zone (2017, 2018, 2019)

<p>Data-base of CH4 and ancillary data (salinity, water temperature, chlorophyll-a concentration) in the Belgian Coastal Zone (2017, 2018, 2019)</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Weather Data from Hull Springs Farm: 2019-09-29 to 2019-10-15

<p># General Metadata for Hull Springs Farm Atmospheric Sampling Station</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; HSF_weather_YYYY-MM-DD_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>## File Created</p> <p>&nbsp; * 2019-10-27 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a weather station installed at Hull Springs Farm near the &quot;Yellow House&quot; (38.121683, -76.666781) as part of the Longwood Environmental Observatory.</p> <p>All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/</p> <p>## Station Specifics</p> <p>&nbsp; The specific at each site are:</p> <p>&nbsp; &nbsp; * Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor<br> &nbsp; &nbsp; * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket<br> &nbsp; &nbsp; * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Data Collection - Campbell Scientific CR200 Data Logger<br> &nbsp; &nbsp; &nbsp; &nbsp; * The sensors are sampled every 15 minutes<br> &nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; &nbsp; * DATE - the date that the record was collected (YYYY-MM-DD)<br> &nbsp; &nbsp; * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data.&nbsp;<br> &nbsp; &nbsp; * BattV_Avg - The average battery voltage (Volts)<br> &nbsp; &nbsp; * BattV - The battery voltage at the time of the sampling (Volts)<br> &nbsp; &nbsp; * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg)<br> &nbsp; &nbsp; * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg)<br> &nbsp; &nbsp; * BP_mmHg - The barometric pressure at the time of the sampling (mmHg)<br> &nbsp; &nbsp; * Rain_mm_Tot - The total rainfall during the sampling interval (mm)<br> &nbsp; &nbsp; * AirTC_Avg - The average air temperature during the sampling interval (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC_Std - The standard deviation of the average air temperature (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC - the air temperature at the time of the sampling (dC)<br> &nbsp; &nbsp; * RH - the relative humidity at the time of the sampling (%)<br> &nbsp; &nbsp; * RH_Min - the minimum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)&nbsp;<br> &nbsp; &nbsp; * RH_Max - the maximum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data.<br> &nbsp; &nbsp; * BattV_Min - the minimum battery voltage (Volts)<br> &nbsp; &nbsp; * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2)&nbsp;<br> &nbsp; &nbsp; * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2)<br> &nbsp; &nbsp; * SlrkW - the light flux density at the time of the sampling (kW/m^2)<br> &nbsp; &nbsp; * SlrMJ_Tot - the total light flux (MJ/m^2)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Avg - the average wind speed during the sampling interval (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Std - the standard deviation of the average wind speed (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms - the wind speed at the time of the sampling event (m/s)<br> &nbsp; &nbsp; * WindDir - the wind direction at the time of the sampling event (degrees from true N)<br> &nbsp; &nbsp; * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s)<br> &nbsp; &nbsp; * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp; &nbsp; * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp;</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

YSI Data from Chalgrove Lake 2019-09-11 to 2019-09-25

<p># General Metadata for Chalgrove Lake YSI Data&nbsp;</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; chalgrove_lake_DDMonthYYYY_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where DDMonthYYY is the date that the deployment ended.</p> <p>## File Created</p> <p>&nbsp; * 2019-04-12 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water.</p> <p>## Sonde Specifics</p> <p>&nbsp; The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> &nbsp;&nbsp;<br> &nbsp; * Temperature<br> &nbsp; * Conductivity<br> &nbsp; * pH<br> &nbsp; * ODO<br> &nbsp; * Total Algae<br> &nbsp;&nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> &nbsp; * date = the sampling date reported by the YSI (M/D/YYYY)<br> &nbsp; * time = the sampling time reported by the YSI (HH:MM:SS)<br> &nbsp; * fract_sec = the smapling fractions of a second reported by the YSI<br> &nbsp; * site_name = the site name on the YSI deployment (left blank)<br> &nbsp; * cond = the conductivity (uS/cm)<br> &nbsp; * nLF_cond = the nLF conductivity (uS/cm)<br> &nbsp; * perc_ODO = the percent oxygen saturation<br> &nbsp; * perc_local_ODO = the percent local oxygen saturation<br> &nbsp; * ODO_conc = the dissolved oxygen concentration (mg/L)<br> &nbsp; * sal = the salinity (psu)<br> &nbsp; * sp_cond = the specific conductivity (uS/cm)<br> &nbsp; * TDS = the total dissolved solids (mg/L)<br> &nbsp; * pH = the pH<br> &nbsp; * pH mV = the millivolts of the pH sensor<br> &nbsp; * temp = the temperature (dC)<br> &nbsp; * battery = the battery voltage<br> &nbsp; * cable_pwr = the cable power<br> &nbsp;</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

YSI Data from Chalgrove Lake 2019-10-16 to 2019-10-30

<p># General Metadata for Chalgrove Lake YSI Data&nbsp;</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; chalgrove_lake_DDMonthYYYY_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where DDMonthYYY is the date that the deployment ended.</p> <p>## File Created</p> <p>&nbsp; * 2019-04-12 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>&nbsp; * 2019-10-31 by KF - added the descriptions of the total algae variables</p> <p>## Description</p> <p>These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water.</p> <p>## Sonde Specifics</p> <p>&nbsp; The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> &nbsp;&nbsp;<br> &nbsp; * Temperature<br> &nbsp; * Conductivity<br> &nbsp; * pH<br> &nbsp; * ODO<br> &nbsp; * Total Algae<br> &nbsp;&nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> &nbsp; * date = the sampling date reported by the YSI (M/D/YYYY)<br> &nbsp; * time = the sampling time reported by the YSI (HH:MM:SS)<br> &nbsp; * fract_sec = the smapling fractions of a second reported by the YSI<br> &nbsp; * site_name = the site name on the YSI deployment (left blank)<br> &nbsp; * chl_RFU = the chlorophyll concentration (RFU)<br> &nbsp; * chl_conc = the chlorophyll concentration (ug/L)<br> &nbsp; * cond = the conductivity (uS/cm)<br> &nbsp; * nLF_cond = the nLF conductivity (uS/cm)<br> &nbsp; * perc_ODO = the percent oxygen saturation<br> &nbsp; * perc_local_ODO = the percent local oxygen saturation<br> &nbsp; * ODO_conc = the dissolved oxygen concentration (mg/L)<br> &nbsp; * sal = the salinity (psu)<br> &nbsp; * sp_cond = the specific conductivity (uS/cm)<br> &nbsp; * BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU)<br> &nbsp; * BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L)<br> &nbsp; * TDS = the total dissolved solids (mg/L)<br> &nbsp; * pH = the pH<br> &nbsp; * pH mV = the millivolts of the pH sensor<br> &nbsp; * temp = the temperature (dC)<br> &nbsp; * battery = the battery voltage<br> &nbsp; * cable_pwr = the cable power</p>

opencc-by-4.0Oct 2019View details →
zenodo40/100

Data for Deines, Wang, & Lobell 2019 analysis on tillage and yields

<p>Data needed to reproduce the original analyses and figures from Deines et al. 2019 &quot;Satellites reveal a small positive yield effect from conservation tillage across the US Corn Belt&quot; (https://doi.org/10.1088/1748-9326/ab503b) can be found in the zipped `data` folder.</p> <p>This includes the field-level samples derived from the input annual tillage and yield map datasets, along with associated covariates. Due to privacy concerns, field locations are reported by county only (latitude and longitude have been removed), and the input map datasets are not publicly available but may obtained from their sources upon reasonable request.</p> <p>Unzipped file is ~11.3 gb; data is provided in a zipped folder to preserve file structure for best use with associated code repository located at <a href="https://doi.org/10.5281/zenodo.3525359">https://doi.org/10.5281/zenodo.3525359.</a></p>

opencc-by-3.0Oct 2019View details →
zenodo40/100

Weather Data from Env. Education Center at Lancer Park 2018-10-30 to 2019-02-14

<p># General Metadata for Lancer Park Environmental Education Center Atmospheric Sampling Station</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; LP_weather_YYYY-MM-DD_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>## Metadata File Created</p> <p>&nbsp; * 2019-10-27 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a weather station installed at the Longwood University Environmental Education Center at Lancer Park (37.308189, -78.402768) as part of the Longwood Environmental Observatory.</p> <p>All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/</p> <p>## Station Specifics</p> <p>&nbsp; The specific at each site are:</p> <p>&nbsp; &nbsp; * Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor<br> &nbsp; &nbsp; * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket<br> &nbsp; &nbsp; * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Data Collection - Campbell Scientific CR200 Data Logger<br> &nbsp; &nbsp; &nbsp; &nbsp; * The sensors are sampled every 15 minutes<br> &nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; &nbsp; * DATE - the date that the record was collected (YYYY-MM-DD)<br> &nbsp; &nbsp; * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data.&nbsp;<br> &nbsp; &nbsp; * BattV_Avg - The average battery voltage (Volts)<br> &nbsp; &nbsp; * BattV - The battery voltage at the time of the sampling (Volts)<br> &nbsp; &nbsp; * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg)<br> &nbsp; &nbsp; * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg)<br> &nbsp; &nbsp; * BP_mmHg - The barometric pressure at the time of the sampling (mmHg)<br> &nbsp; &nbsp; * Rain_mm_Tot - The total rainfall during the sampling interval (mm)<br> &nbsp; &nbsp; * AirTC_Avg - The average air temperature during the sampling interval (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC_Std - The standard deviation of the average air temperature (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC - the air temperature at the time of the sampling (dC)<br> &nbsp; &nbsp; * RH - the relative humidity at the time of the sampling (%)<br> &nbsp; &nbsp; * RH_Min - the minimum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)&nbsp;<br> &nbsp; &nbsp; * RH_Max - the maximum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data.<br> &nbsp; &nbsp; * BattV_Min - the minimum battery voltage (Volts)<br> &nbsp; &nbsp; * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2)&nbsp;<br> &nbsp; &nbsp; * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2)<br> &nbsp; &nbsp; * SlrkW - the light flux density at the time of the sampling (kW/m^2)<br> &nbsp; &nbsp; * SlrMJ_Tot - the total light flux (MJ/m^2)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Avg - the average wind speed during the sampling interval (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Std - the standard deviation of the average wind speed (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms - the wind speed at the time of the sampling event (m/s)<br> &nbsp; &nbsp; * WindDir - the wind direction at the time of the sampling event (degrees from true N)<br> &nbsp; &nbsp; * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s)<br> &nbsp; &nbsp; * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp; &nbsp; * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

Weather Data from Env. Education Center at Lancer Park 2019-07-15 to 2019-08-28

<p># General Metadata for Lancer Park Environmental Education Center Atmospheric Sampling Station</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; LP_weather_YYYY-MM-DD_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>## Metadata File Created</p> <p>&nbsp; * 2019-10-27 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a weather station installed at the Longwood University Environmental Education Center at Lancer Park (37.308189, -78.402768) as part of the Longwood Environmental Observatory.</p> <p>All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/</p> <p>## Station Specifics</p> <p>&nbsp; The specific at each site are:</p> <p>&nbsp; &nbsp; * Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor<br> &nbsp; &nbsp; * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket<br> &nbsp; &nbsp; * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Data Collection - Campbell Scientific CR200 Data Logger<br> &nbsp; &nbsp; &nbsp; &nbsp; * The sensors are sampled every 15 minutes<br> &nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; &nbsp; * DATE - the date that the record was collected (YYYY-MM-DD)<br> &nbsp; &nbsp; * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data.&nbsp;<br> &nbsp; &nbsp; * BattV_Avg - The average battery voltage (Volts)<br> &nbsp; &nbsp; * BattV - The battery voltage at the time of the sampling (Volts)<br> &nbsp; &nbsp; * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg)<br> &nbsp; &nbsp; * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg)<br> &nbsp; &nbsp; * BP_mmHg - The barometric pressure at the time of the sampling (mmHg)<br> &nbsp; &nbsp; * Rain_mm_Tot - The total rainfall during the sampling interval (mm)<br> &nbsp; &nbsp; * AirTC_Avg - The average air temperature during the sampling interval (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC_Std - The standard deviation of the average air temperature (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC - the air temperature at the time of the sampling (dC)<br> &nbsp; &nbsp; * RH - the relative humidity at the time of the sampling (%)<br> &nbsp; &nbsp; * RH_Min - the minimum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)&nbsp;<br> &nbsp; &nbsp; * RH_Max - the maximum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data.<br> &nbsp; &nbsp; * BattV_Min - the minimum battery voltage (Volts)<br> &nbsp; &nbsp; * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2)&nbsp;<br> &nbsp; &nbsp; * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2)<br> &nbsp; &nbsp; * SlrkW - the light flux density at the time of the sampling (kW/m^2)<br> &nbsp; &nbsp; * SlrMJ_Tot - the total light flux (MJ/m^2)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Avg - the average wind speed during the sampling interval (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Std - the standard deviation of the average wind speed (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms - the wind speed at the time of the sampling event (m/s)<br> &nbsp; &nbsp; * WindDir - the wind direction at the time of the sampling event (degrees from true N)<br> &nbsp; &nbsp; * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s)<br> &nbsp; &nbsp; * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp; &nbsp; * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

Weather Data from Env. Education Center at Lancer Park 2019-08-28 to 2019-10-10

<p># General Metadata for Lancer Park Environmental Education Center Atmospheric Sampling Station</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; LP_weather_YYYY-MM-DD_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>## Metadata File Created</p> <p>&nbsp; * 2019-10-27 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a weather station installed at the Longwood University Environmental Education Center at Lancer Park (37.308189, -78.402768) as part of the Longwood Environmental Observatory.</p> <p>All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/</p> <p>## Station Specifics</p> <p>&nbsp; The specific at each site are:</p> <p>&nbsp; &nbsp; * Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor<br> &nbsp; &nbsp; * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket<br> &nbsp; &nbsp; * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Data Collection - Campbell Scientific CR200 Data Logger<br> &nbsp; &nbsp; &nbsp; &nbsp; * The sensors are sampled every 15 minutes<br> &nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; &nbsp; * DATE - the date that the record was collected (YYYY-MM-DD)<br> &nbsp; &nbsp; * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data.&nbsp;<br> &nbsp; &nbsp; * BattV_Avg - The average battery voltage (Volts)<br> &nbsp; &nbsp; * BattV - The battery voltage at the time of the sampling (Volts)<br> &nbsp; &nbsp; * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg)<br> &nbsp; &nbsp; * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg)<br> &nbsp; &nbsp; * BP_mmHg - The barometric pressure at the time of the sampling (mmHg)<br> &nbsp; &nbsp; * Rain_mm_Tot - The total rainfall during the sampling interval (mm)<br> &nbsp; &nbsp; * AirTC_Avg - The average air temperature during the sampling interval (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC_Std - The standard deviation of the average air temperature (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC - the air temperature at the time of the sampling (dC)<br> &nbsp; &nbsp; * RH - the relative humidity at the time of the sampling (%)<br> &nbsp; &nbsp; * RH_Min - the minimum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)&nbsp;<br> &nbsp; &nbsp; * RH_Max - the maximum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data.<br> &nbsp; &nbsp; * BattV_Min - the minimum battery voltage (Volts)<br> &nbsp; &nbsp; * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2)&nbsp;<br> &nbsp; &nbsp; * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2)<br> &nbsp; &nbsp; * SlrkW - the light flux density at the time of the sampling (kW/m^2)<br> &nbsp; &nbsp; * SlrMJ_Tot - the total light flux (MJ/m^2)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Avg - the average wind speed during the sampling interval (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Std - the standard deviation of the average wind speed (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms - the wind speed at the time of the sampling event (m/s)<br> &nbsp; &nbsp; * WindDir - the wind direction at the time of the sampling event (degrees from true N)<br> &nbsp; &nbsp; * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s)<br> &nbsp; &nbsp; * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp; &nbsp; * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

De viris mulieribusque illustribus: ERC Our Mythical Childhood & Schools (2019) - movie

<p>A movie from the school endeavour &ldquo;De viris mulieribusque illustribus&rdquo;: Bartłomiej Nowodworski I High School in Cracow, Mikołaj Rej XI High School in Warsaw, Nicolaus Copernicus University Academic High School in Toruń, and Strumienie High School in J&oacute;zef&oacute;w, in cooperation with the Our Mythical Childhood project (ERC Consolidator Grant 681202) and the Cluster: The Past for the Present, May 2019, Faculty of &ldquo;Artes Liberales&rdquo;, University of Warsaw. Panel at Polish Theatre in Warsaw, during the conference &ldquo;Our Mythical History: Children&rsquo;s and Young Adults&rsquo; Culture in Response to the Heritage of Ancient Greece and Rome&rdquo; on 23rd May 2019.</p> <p>The video is available here:&nbsp;<a href="https://www.youtube.com/watch?v=OVECLB5LYKs">https://www.youtube.com/watch?v=OVECLB5LYKs</a></p>

opencc-by-nc-nd-4.0Jul 2019View details →
zenodo40/100

Ichtyological data of Station de biologie des Laurentides (2019)

<p>These data combine fish sampling, basic physical variables, and macroinvertebrate data collected in main water bodies of Station de biologie des Laurentides (SBL) during BIO2476 field course in September 2019 (See DOI: 10.5281/zenodo.3246544 for 2018 data). BIO2476 is an undergrad course in the Department of biological sciences of Universit&eacute; de Montr&eacute;al. During the field course, students sample fish in main SBL waterbodies using different capture techniques (e.g. electrofishing, minnow traps, fyke nets) and visual observation (snorkeling surveys). Fish counts obtained by these different techniques can be expressed as relative abundances using sampling gear dimensions, duration of sampling and/or water volume covered by sampling gear. Data are collected by participating students using standardized and documented methods under the supervision of HQP (teaching assistants and course lecturer). These data are used by students to compute different ichtyological metrics and write their final report. These data consist mainly in datatables accessible openly but fish scale samples and fish photos are also available upon request.</p>

opencc-zeroNov 2019View details →
zenodo40/100

YSI Data from Chalgrove Lake 2019-10-30 to 2019-11-13

<p># General Metadata for Chalgrove Lake YSI Data&nbsp;</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; chalgrove_lake_DDMonthYYYY_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where DDMonthYYY is the date that the deployment ended.</p> <p>## File Created</p> <p>&nbsp; * 2019-04-12 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>&nbsp; * 2019-10-31 by KF - added the descriptions of the total algae variables</p> <p>## Description</p> <p>These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water.</p> <p>## Sonde Specifics</p> <p>&nbsp; The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> &nbsp;&nbsp;<br> &nbsp; * Temperature<br> &nbsp; * Conductivity<br> &nbsp; * pH<br> &nbsp; * ODO<br> &nbsp; * Total Algae<br> &nbsp;&nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> &nbsp; * date = the sampling date reported by the YSI (M/D/YYYY)<br> &nbsp; * time = the sampling time reported by the YSI (HH:MM:SS)<br> &nbsp; * fract_sec = the smapling fractions of a second reported by the YSI<br> &nbsp; * site_name = the site name on the YSI deployment (left blank)<br> &nbsp; * chl_RFU = the chlorophyll concentration (RFU)<br> &nbsp; * chl_conc = the chlorophyll concentration (ug/L)<br> &nbsp; * cond = the conductivity (uS/cm)<br> &nbsp; * nLF_cond = the nLF conductivity (uS/cm)<br> &nbsp; * perc_ODO = the percent oxygen saturation<br> &nbsp; * perc_local_ODO = the percent local oxygen saturation<br> &nbsp; * ODO_conc = the dissolved oxygen concentration (mg/L)<br> &nbsp; * sal = the salinity (psu)<br> &nbsp; * sp_cond = the specific conductivity (uS/cm)<br> &nbsp; * BGA_PC_RFU = the Blue-green algae Phycocyanin concentration (RFU)<br> &nbsp; * BGA_PC_conc = the Blue-green algae Phycocyanin concentration (ug/L)<br> &nbsp; * TDS = the total dissolved solids (mg/L)<br> &nbsp; * pH = the pH<br> &nbsp; * pH mV = the millivolts of the pH sensor<br> &nbsp; * temp = the temperature (dC)<br> &nbsp; * battery = the battery voltage<br> &nbsp; * cable_pwr = the cable power<br> &nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

Weather Data from Hull Springs Farm: 2019-09-10 to 2019-09-29

<p># General Metadata for Hull Springs Farm Atmospheric Sampling Station</p> <p>## Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <p>&nbsp; &nbsp; HSF_weather_YYYY-MM-DD_metadata.txt<br> &nbsp; &nbsp;&nbsp;<br> Where YYYY-MM-DD is the date that the sampling period ended.</p> <p>## File Created</p> <p>&nbsp; * 2019-10-27 by KF<br> &nbsp;&nbsp;<br> ## File Modified</p> <p>## Description</p> <p>These data are from a weather station installed at Hull Springs Farm near the &quot;Yellow House&quot; (38.121683, -76.666781) as part of the Longwood Environmental Observatory.</p> <p>All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/</p> <p>## Station Specifics</p> <p>&nbsp; The specific at each site are:</p> <p>&nbsp; &nbsp; * Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor<br> &nbsp; &nbsp; * Light Flux Density (kW/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Light Total Flux (kJ/m^2) - Campbell Scientific Pyranometer CS300<br> &nbsp; &nbsp; * Rainfall (mm) - Texas Electronics TE525 Tipping Bucket<br> &nbsp; &nbsp; * Temperature (dC) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor<br> &nbsp; &nbsp; * Wind Speed (m/s) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Wind Direction (degrees from true N) - RM Young 05103 Wind Speed and Direction Sensor<br> &nbsp; &nbsp; * Data Collection - Campbell Scientific CR200 Data Logger<br> &nbsp; &nbsp; &nbsp; &nbsp; * The sensors are sampled every 15 minutes<br> &nbsp;<br> ## Measurement Parameters, units, and Variable Names</p> <p>&nbsp; &nbsp; * DATE - the date that the record was collected (YYYY-MM-DD)<br> &nbsp; &nbsp; * TIMESTAMP - the date and time that the datalogger assigned to the record that was collected (YYYY-MM-DD HH:MM:SS)</p> <p>&nbsp; &nbsp; * TIMESTAMP.corr - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS). The date and time on the data logger was set incorrectly when the data collection began so the time stamps from the logger are incorrect.&nbsp; We used the file download time to identify the last actual time that data logger collected a sample and then offset the TIMESTAMP values by the difference between the recorded and actual time of the last sample collection.&nbsp;<br> &nbsp; &nbsp; * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data.&nbsp;<br> &nbsp; &nbsp; * BattV_Avg - The average battery voltage (Volts)<br> &nbsp; &nbsp; * BattV - The battery voltage at the time of the sampling (Volts)<br> &nbsp; &nbsp; * BP_mmHg_Avg - The average barometric pressure over the sampling interval (mmHg)<br> &nbsp; &nbsp; * BP_mmHg_Std - The standard deviation of the average barometric pressure (mmHg)<br> &nbsp; &nbsp; * BP_mmHg - The barometric pressure at the time of the sampling (mmHg)<br> &nbsp; &nbsp; * Rain_mm_Tot - The total rainfall during the sampling interval (mm)<br> &nbsp; &nbsp; * AirTC_Avg - The average air temperature during the sampling interval (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC_Std - The standard deviation of the average air temperature (dC)&nbsp;<br> &nbsp; &nbsp; * AirTC - the air temperature at the time of the sampling (dC)<br> &nbsp; &nbsp; * RH - the relative humidity at the time of the sampling (%)<br> &nbsp; &nbsp; * RH_Min - the minimum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMn - the time that the minimum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)&nbsp;<br> &nbsp; &nbsp; * RH_Max - the maximum relative humidity recorded (%)<br> &nbsp; &nbsp; * RH_TMx - the time that the maximum relative humidity measurement occurred (YYYY-MM-DD HH:MM:SS)<br> &nbsp; &nbsp; * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data.<br> &nbsp; &nbsp; * BattV_Min - the minimum battery voltage (Volts)<br> &nbsp; &nbsp; * SlrkW_Avg - the average light flux density during the sampling interval (kW/m^2)&nbsp;<br> &nbsp; &nbsp; * SlrkW_Std - the standard deviation of the average light flux density (kW/m^2)<br> &nbsp; &nbsp; * SlrkW - the light flux density at the time of the sampling (kW/m^2)<br> &nbsp; &nbsp; * SlrMJ_Tot - the total light flux (MJ/m^2)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Avg - the average wind speed during the sampling interval (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms_Std - the standard deviation of the average wind speed (m/s)&nbsp;<br> &nbsp; &nbsp; * WS_ms - the wind speed at the time of the sampling event (m/s)<br> &nbsp; &nbsp; * WindDir - the wind direction at the time of the sampling event (degrees from true N)<br> &nbsp; &nbsp; * WS_ms_S_WVT - the average wind speed over the previous 15 minutes (m/s)<br> &nbsp; &nbsp; * WindDir_D1_WVT - the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp; &nbsp; * WindDir_SD1_WVT - the standard deviation of the average wind direction over the previous 15 minutes (degrees from true N)<br> &nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo40/100

Figuras 5-6 in El género Jolyssellus García y Jiménez-Ramos, 2019 (Coleoptera: Noteridae: Noterini), con dos nuevas especies de los llanos venezolanos, y su ubicación en tres agrupaciones específicas

Figuras 5-6. Escleritos genitales de Jolyssellus matosi sp. nov. A-B. Lóbulos medio latera derecho y lateral izquierdo. C. Parámero derecho. D. Parámero izquierdo. E-F. Vistas laterodorsal y lateral izquierda: lbm= lóbulo medio, lto= lateroterguito, lltg= lóbulo laterotergal, gxa= gonocoxa, cgx= carenas gonocoxales, mld= margen laterodorsal dentado. / Genital sclerites of Jolyssellus matosi nov. sp. A-B. Right medial lateral and left lateral lobes. C. Right parameter. D. Left parameter. E-F. Laterodorsal and left lateral views: lbm = middle lobe, lto = lateroterguito, lltg = laterotergal lobe, gxa = gonocoxa, cgx = gonocoxal carenas, mld = dentate laterodorsal margin.

opencc-by-4.0May 2021View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.