cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n6cs6b
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthospermum australe",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 266 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015070-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5z7jy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthospermum australe",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015069-250827131500795/datasets/export for details.
DOI: 10.15468/dl.xps8yp
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthospermum australe",
 "Country is Nigeria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015067-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yf4zw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla bifurca"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015071-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.14384819.v7
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the radial artery on the forearm (between elbow and wrist, about in the middle with a slightly changing position regularly to avoid skin damage due to continuous skin obstruction and warmth), by being attached with a velcro to the interior of a cotton sports wrist band. See the works of Dr. Antonio Martinez Nicolas for more details on wrist skin temperature rhythm and WTIO.<br>The procedure is described in: https://pubmed.ncbi.nlm.nih.gov/18761026/<br>This dataset can be used alone or in combination with ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min and ibutton-left-nondominant-upper-arm-cotton-sports-wristband-ventral-exterior-5min to regress dorsal skin temperature and ambient temperature respectively.<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>There is unfortunately some missing data from 2021-07-06 to 2021-07-16 because the internal memory was unexpectedly already filled (it should have been able to store more than a year according to the manufacturer's documentation). The maximum number of samples seems to be 62720.<br>Note that the datetime in the filename is in US format: monthdayyear.<br>
DOI: 10.6084/m9.figshare.14456314.v6
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the dorsal side of the forearm, at the opposite of the radial artery, by being attached with a velcro to the interior of a cotton sports wrist band.<br>This dataset is meant to capture skin temperature at another site than the radial artery, so that the dataset may be useful for spurious temperature changes regression. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min dataset.<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>Note that the datetime in the filename is in US format: monthdayyear.<br>
DOI: 10.6084/m9.figshare.14456312.v6
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-ventral-exterior-5min

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the ventral side of the forearm, by being attached with a velcro to the exterior of a cotton sports wrist band.<br>This dataset is meant to capture ambient temperature. It is placed just beside the main skin sensor but on the exterior of the cotton wristband instead of the interior, so that this sensor reflects the ambient temperature at the exact site where the main skin sensor is. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-5min dataset (main skin sensor, placed on the radial artery).<br>Start using the files from the datetime (in filename): 071621 and onward. Indeed, earlier logs are redundant. Concatenate every files beyond this date to get the full log, each file containing one distinct period of time.<br>Earlier logs contain the same data as 071621, as initially it was thought that the sensor had enough memory to collect 1 year of data, but this was in fact incorrect (it's about 6-7 months of data). So it's necessary to clear the sensor's data before collecting a new period.<br>Note that the datetime in the filename is in US format: monthdayyear.
DOI: 10.6073/pasta/64bc627974c6d8785fa31ecbfaad6391
title: North Temperate Lakes LTER Meteorological Data - Woodruff Airport 1989 - current

description: Meteorological measurements are being gathered at a site at the Noble F. Lee municipal airport located at Woodruff, WI for three purposes: 1) to supplement the data from the raft on Sparkling and Trout Lakes used for evaporation calculations, and 2) to provide standard meteorological measurements for the North Temperate Lakes site, and 3) to measure radiation for primary production studies in the study lakes at the site. The following parameters are measured at 1-minute intervals: 1) air temperature at 1.5 m above ground, 2) relative humidity at 1.5 m above ground, 3) wind speed and direction and peak wind speed at 3 m above ground, 4) total long-wave radiation, 5) total short-wave radiation, 6) photosynthetically active radiation (PAR), 7) total solar radiation, and 8) total precipitation. High resolution data is taken typically at 10 minute intervals as well as 1-hour and 24-hour averages. Half-hourly averages of PAR and shortwave radiation are also stored. Precipitation data are summed for 5-minute intervals during periods of detectable precipitation. Derived data included in this data set include dew point temperature and vapor pressure as well as daily minimum and maximum values for some parameters. Data are automatically updated into the database every six hours. Sampling frequency: varies for instantaneous samples; averaged to hourly, half-hourly and daily values. Number of sites: 1. Date/time is Central Standard Time (GMT - 06:00) throughout the year.
DOI: 10.6073/pasta/bbf63a6e33a9c3447e388996c0cd1abd
title: Little Rock Lake - CWH Study at North Temperate Lakes LTER - Benthic Macroinvertebrates 2002 - 2004

description: Benthic invertebrates were collected as part of CWH (coarse woody habitat) study on Little Rock Lake in Vilas county, WI. Pre-manipulation sampling of the macroinvertebrate communities was conducted in the summer of 2002 before the CWH reduction and six times after the reduction, in early, mid, and late summer (May-August) of 2003 and 2004. We divided the shoreline of Little Rock Lake into 50 m sections and randomly chose five sections from each basin for each separate sampling of macroinvertebrates. We collected two benthos and two CWH macroinvertebrate samples at each section. We constructed a benthos sampler by connecting a SCUBA tank to a 7.6 cm PVC pipe with a hose attached 10 cm from one end of the pipe (Wahle and Steneck 1991; Roth et al. 2007). A 500 m Nitex mesh bag was place at the top end of the pipe furthest from the attached hose. Once the tank was turned on, a vacuum formed that sucked the benthos sample into the bag. We used a 0.09 m2 hoop to delineate the benthos sampling area. We sampled CWH using a self-contained, battery-powered aquatic vacuum with a 500 m Nitex mesh bag (Vander Zanden et al. 2006). Sampling lasted for 30 seconds. All samples were stored in 95% ethanol until processed. Macroinvertebrates were identified to the lowest possible taxonomic level. Helmus M.R. and Sass G.G. (2008) The rapid effects of a whole-lake reduction of coarse woody debris on fish and benthic macroinvertebrates. Freshwater Biology, 53, 1423-1433 Number of sites: 44 Sampling Frequency: once pre-manipulation, 6 sampling regimes after reduction
DOI: 10.21223/preyuf/xxwuut
title: 2da Encuesta 2021 COVID.docx

description: :unav
DOI: 10.6073/pasta/e871cd72f66b2ed484394b012988e1e4
title: Cross Lake Comparison at North Temperate Lakes LTER - Benthic Macroinvertebrates 2003

description: Benthic invertebrates were collected in 2003 as part of Coarse Woody Habitat (CWH) study on 10 Biocomplexity - Cross Lake Comparison lakes in Vilas County, WI. We chose five lakes with high density of houses and five lakes with a low density of houses based on the lakes and housing quintiles developed by Anna Marburg. In each lake, we chose three sites with no wood and three sites with high wood based on the CLC surveys. We took two benthos samples at each site and for the sites with CWH, we took two wood samples. Macroinvertebrates were identified to the lowest possible taxonomic level. Number of sites: 60 Sampling Frequency: once per site
DOI: 10.5517/ccdc.csd.cc28tjf2
title: CCDC 2109904: Experimental Crystal Structure Determination

description: Related Article: Hiroshi Danjo, Kohei Asai, Tomoya Tanaka, Daiki Ono, Masatoshi Kawahata, Satoshi Iwatsuki|2022|Chem.Commun.|58|2196|doi:10.1039/D1CC05563A
DOI: 10.5517/ccdc.csd.cc28tjh4
title: CCDC 2109906: Experimental Crystal Structure Determination

description: Related Article: Hiroshi Danjo, Kohei Asai, Tomoya Tanaka, Daiki Ono, Masatoshi Kawahata, Satoshi Iwatsuki|2022|Chem.Commun.|58|2196|doi:10.1039/D1CC05563A
DOI: 10.5517/ccdc.csd.cc28pt0t
title: CCDC 2106326: Experimental Crystal Structure Determination

description: Related Article: Chaozhuang Xue, Jian Lin, Yifan Zhang, Zhiyang Liu, Rui Li, Shuwen Gong, Konggang Qu|2022|Dalton Trans.|51|3248|doi:10.1039/D2DT00174H
DOI: 10.5517/ccdc.csd.cc27wywz
title: CCDC 2082452: Experimental Crystal Structure Determination

description: Related Article: Yu Shi, Tong Zhou, Jia-Qi Di, Wenhui Wang, Li Ma, Heng Zhang, Yuanzhe Gao|2022|Dalton Trans.|51|3304|doi:10.1039/D1DT03862A
DOI: 10.5517/ccdc.csd.cc28bs4k
title: CCDC 2095728: Experimental Crystal Structure Determination

description: Related Article: Yu Shi, Tong Zhou, Jia-Qi Di, Wenhui Wang, Li Ma, Heng Zhang, Yuanzhe Gao|2022|Dalton Trans.|51|3304|doi:10.1039/D1DT03862A
DOI: 10.5517/ccdc.csd.cc28bs5l
title: CCDC 2095729: Experimental Crystal Structure Determination

description: Related Article: Yu Shi, Tong Zhou, Jia-Qi Di, Wenhui Wang, Li Ma, Heng Zhang, Yuanzhe Gao|2022|Dalton Trans.|51|3304|doi:10.1039/D1DT03862A
DOI: 10.5517/ccdc.csd.cc28rtmh
title: CCDC 2108267: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rtnj
title: CCDC 2108268: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rtpk
title: CCDC 2108269: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rtql
title: CCDC 2108270: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rtsn
title: CCDC 2108272: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rttp
title: CCDC 2108273: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc28rtvq
title: CCDC 2108274: Experimental Crystal Structure Determination

description: Related Article: Lei Hu, Ming-Ming Sheng, Shun-Shun Qin, Hua-Tian Shi, Maria Strømme, Qian-Feng Zhang, Chao Xu|2022|Dalton Trans.|51|3241|doi:10.1039/D2DT00016D
DOI: 10.5517/ccdc.csd.cc24rqzm
title: CCDC 1989021: Experimental Crystal Structure Determination

description: Related Article: Yong Wang|2022|New J.Chem.|46|3978|doi:10.1039/D1NJ05900A
description: Related Article: Yong Wang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24rr0p
title: CCDC 1989022: Experimental Crystal Structure Determination

description: Related Article: Yong Wang|2022|New J.Chem.|46|3978|doi:10.1039/D1NJ05900A
description: Related Article: Yong Wang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24rr2r
title: CCDC 1989024: Experimental Crystal Structure Determination

description: Related Article: Yong Wang|2022|New J.Chem.|46|3978|doi:10.1039/D1NJ05900A
description: Related Article: Yong Wang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29h2rn
title: CCDC 2129661: Experimental Crystal Structure Determination

description: Related Article: Salvador Celedón, Paul Hamon, Vania Artigas, Mauricio Fuentealba, Samia Kahlal, David Carrillo, Jean-Yves Saillard, Jean-René Hamon, Carolina Manzur|2022|New J.Chem.|46|3948|doi:10.1039/D1NJ06106B
DOI: 10.5517/ccdc.csd.cc29h2sp
title: CCDC 2129662: Experimental Crystal Structure Determination

description: Related Article: Salvador Celedón, Paul Hamon, Vania Artigas, Mauricio Fuentealba, Samia Kahlal, David Carrillo, Jean-Yves Saillard, Jean-René Hamon, Carolina Manzur|2022|New J.Chem.|46|3948|doi:10.1039/D1NJ06106B
DOI: 10.6073/pasta/b71027539c22e6f9b3886efa109fa09b
title: PIE LTER eddy flux measurements during 2018 from second high marsh site (Spartina patens/short Spartina alterniflora) Tall Tower off Nelson Island Creek, Rowley, Massachusetts

description: We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a high marsh system (Spartina patens, short Spartina alterniflora) located on the Parker River Wildlife Refuge in marshes of Plum Island Sound, Rowley MA. The system is located near a higher elevation rock outcroppingprotected area which allows the tower set up to remain during the Winter as it is protected from ice flows. The data represents CO2 exchange for all 12 months of 2018.
DOI: 10.6084/m9.figshare.19209423
title: Data

description: A .zip archive containing the following folder structure:<br>data├── reviews│ ├── com.reddit.frontpage_cleaned.csv│ ├── com.snapchat.android_cleaned.csv│ ├── com.soundcloud.android_cleaned.csv│ └── com.twitter.android_cleaned.csv└── training └── truthset.csv<br>The files under data/reviews are user-reviews scraped from the Google Play Store. User-reviews that were either empty or shorter than 5 words in length have been removed, hence the files have the '_cleaned' suffix.<br>The truthset can be used to train a classification algorithm to detect Alert/non-Alert days in daily aggregates of user-reviews.
DOI: 10.6084/m9.figshare.16441296
title: Local variance

description: Col 1 x coordinateCol 2 y coordinateCol 3 wheat yield<br>wheat 6a is the GAUSS code that computes local variance
DOI: 10.6084/m9.figshare.16441296.v1
title: Local variance

description: Col 1 x coordinateCol 2 y coordinateCol 3 wheat yield<br>wheat 6a is the GAUSS code that computes local variance
DOI: 10.6073/pasta/8e3fecf186d90352a05c3f63c4d793fc
title: Deciphering the Origin of Riverine Phytoplankton Using In-Situ Chlorophyll Sensors

description: We monitored suspended chlorophyll concentration and turbidity during 48 storm events at two locations with contrasting hydraulic storage caused by milldams between the sites. Our study provides 15-min interval data on river flow, temperature, turbidity and chlorophyll-a concentration for each one of these events. These data have undergone a QA/QC process in which fouling drift was corrected by applying an offset linear interpolation before and after cleaning, and a discrete analytical correction was also applied based on extracted-chlorophyll analysis from grab samples. The dataset is provided in a wide csv format with one parameter per column.
DOI: 10.14279/depositonce-14977
title: Generated molecules: "Inverse design of 3d molecular structures with conditional generative neural networks"

description: The rational design of molecules with desired properties is a long-standing challenge in chemistry. Generative neural networks have emerged as a powerful approach to sample novel molecules from a learned distribution. Here, we propose a conditional generative neural network for 3d molecular structures with specified chemical and structural properties. This approach is agnostic to chemical bonding and enables targeted sampling of novel molecules from conditional distributions, even in domains where reference calculations are sparse. We demonstrate the utility of our method for inverse design by generating molecules with specified motifs or composition, discovering particularly stable molecules, and jointly targeting multiple electronic properties beyond the training regime.
DOI: 10.3886/e130645v1-110320
title: Data and Code for "Who Gets their First Job at a Large Firm? The Distinct Roles of Education and Skills"

description: Young workers’ early years in the labor market are a key and formative time. Using data from 31 countries, this article documents the selection of labor market entrants into large firms, which existing literature associates with propitious environments for young workers. The young and inexperienced are underrepresented at large firms compared to experienced and older workers. Entrants who do get their first job at large firms are positively selected in terms of education and cognitive skills. The patterns of large-firm selection (i.e., importance of education vs. skills) somewhat differ between Europe, East and Southeast Asia, and North America.<br>
DOI: 10.6084/m9.figshare.16632472
title: Single Drain Data

description: There are 27 ISS container drains that are each uploaded as MATLAB .m data files. Each file contains dimensional results, corrected for optical distortion, but not smoothed. Each file name indicates the ICF test cell that data file corresponds to. There are 5 data components within each .m file: interface height h (mm), time t (s), channel domain z (mm), bulk location z2 (mm), and piston location piston (mm). See associated publication for more info.<br>Edit 11/20/2021: it has come to my attention that the data titled "piston" is tracking piston location in PIXELS, not mm. To convert the data "piston" to mm, multiply by the scale factor sf, taking units mm/pixel. They are listed below for the appropriate ICF test cells and runs:<br>ICF1-BIG-run1,2 sf = 0.1948<br>ICF1-BIG-run13,4 sf = 0.1631<br><br>ICF1-SMALL-run1,2 sf = 0.1927<br>ICF1-SMALL-run1,2 sf = 0.1614<br>ICF2-ALL sf = 0.1514<br>ICF3-ALL sf = 0.1575<br>ICF-4-BIG sf = 0.1940ICF-4-SMALL sf = 0.1937<br>ICF-6-BIG sf = 0.1856<br>ICF-6-SMALL sf = 0.1874<br><br>ICF-8-run1,2 sf = 0.1785ICF-8-run3,4,5 sf = 0.1719<br>ICF-9 sf = 0.1671<br>Edit 2/23/2022: it has come to my attention the heights for ICF-6 meniscus data are larger than reality by 2 mm. Thus, the true heights for all ICF-6 data sets are 2 mm smaller than the data reports. This is due to the bisecting vane being drilled 2 mm lower than the bottom-most corner. This is only true for ICF-6, and only for the meniscus heights h.<br>
DOI: 10.6084/m9.figshare.16632472.v1
title: Single Drain Data

description: There are 27 ISS container drains that are each uploaded as MATLAB .m data files. Each file contains dimensional results, corrected for optical distortion, but not smoothed. Each file name indicates the ICF test cell that data file corresponds to. There are 5 data components within each .m file: interface height h (mm), time t (s), channel domain z (mm), bulk location z2 (mm), and piston location piston (mm). See associated publication for more info.<br>Edit 11/20/2021: it has come to my attention that the data titled "piston" is tracking piston location in PIXELS, not mm. To convert the data "piston" to mm, multiply by the scale factor sf, taking units mm/pixel. They are listed below for the appropriate ICF test cells and runs:<br>ICF1-BIG-run1,2 sf = 0.1948<br>ICF1-BIG-run13,4 sf = 0.1631<br><br>ICF1-SMALL-run1,2 sf = 0.1927<br>ICF1-SMALL-run1,2 sf = 0.1614<br>ICF2-ALL sf = 0.1514<br>ICF3-ALL sf = 0.1575<br>ICF-4-BIG sf = 0.1940ICF-4-SMALL sf = 0.1937<br>ICF-6-BIG sf = 0.1856<br>ICF-6-SMALL sf = 0.1874<br><br>ICF-8-run1,2 sf = 0.1785ICF-8-run3,4,5 sf = 0.1719<br>ICF-9 sf = 0.1671<br>Edit 2/23/2022: it has come to my attention the heights for ICF-6 meniscus data are larger than reality by 2 mm. Thus, the true heights for all ICF-6 data sets are 2 mm smaller than the data reports. This is due to the bisecting vane being drilled 2 mm lower than the bottom-most corner. This is only true for ICF-6, and only for the meniscus heights h.<br>