cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2020-11.2096298/2059152
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2088056/2059153
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097193/2059154
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095939/2059155
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095243/2059156
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097046/2059157
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2088736/2059158
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091814/2059159
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097291/2059160
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2092208/2059161
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2089024/2059162
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094711/2059163
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097130/2059164
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2092350/2059165
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096399/2059166
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2089062/2059167
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094226/2059168
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091060/2059169
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094802/2059170
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091893/2059171
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091975/2059172
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096336/2059173
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095475/2059174
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097228/2059175
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2093307/2059176
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097149/2059177
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2088967/2059178
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097243/2059179
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097250/2059180
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097269/2059181
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091121/2059182
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095244/2059183
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097294/2059184
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2090979/2059185
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2093371/2059186
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095614/2059187
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096364/2059188
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096290/2059189
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094757/2059190
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2092202/2059191
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095539/2059192
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2093492/2059193
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2088131/2059194
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094865/2059195
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095338/2059196
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095176/2059197
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095207/2059198
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2095140/2059199
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096314/2059200
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2094246/2059201
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097148/2059202
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2089222/2059203
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2091013/2059204
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2096332/2059205
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097040/2059206
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25582/data.2020-11.2097124/2059207
title: Data for EMSL Project 51127 from November 2020
DOI: 10.25919/5cd287107a05a
title: Parkes pulsar observations with undefined project IDs for 2019_10

description: Parkes pulsar observations with undefined project IDs for 2019
DOI: 10.5519/qd.3p50i6ri
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.6085/aa/sh15xx_015mhp2001r00_20170522.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mhp2001r00_20170522.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a HOBO U22 Water Temp Pro V2 (Onset Computer Corp. U22-001) beginning 2017-05-22. The instrument depth was 001 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mhp2001r00_20170705.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mhp2001r00_20170705.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a HOBO U22 Water Temp Pro V2 (Onset Computer Corp. U22-001) beginning 2017-07-05. The instrument depth was 001 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170421.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170421.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-04-21. The instrument depth was 001 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170607.40.1
title: (:unkn)
DOI: 10.17632/2wg2d8765v.1
title: Data for: miR-141-5p regulate ATF2 via Effecting MAPK1/ERK1 Signaling To Promote Preeclampsia

description: miR-141-5p regulate ATF2 via Effecting MAPK1/ERK1 Signaling To Promote Preeclampsia
DOI: 10.6073/pasta/43cafad1fe881e29ffaec846b7a16479
title: Ground water levels for 964  monitoring wells in Wisconsin, 1929 - 2015

description: This dataset contains the daily groundwater level observations and other monitoring well attributes in Wisconsin. It covers 964 groundwater level monitoring wells and has 400,812 observations. The time span of this dataset is between February 2nd, 1929 and December 31st, 2015. The data sources include United States Geological Survey (USGS), Wisconsin Department of Natural Resources (WDNR), University of Wisconsin Extension, counties in Central Sands area, and North Temperate Lakes - Long-Term Ecological Research (NTL-LTER).
The data compilation consists of three major steps. First, the data were retrieved from different data sources. Then the data from different sources were pooled together. No well was monitored by more than one entity so none of the wells’ records were merged. Third, two rounds of quality assurance and quality control (QAQC) were conducted.
Wells in confined aquifers were not included in this dataset. The values of the USGS and Central Sands data are the depth to the water whereas LTER values are mean sea level elevations of the groundwater levels. These data could not be directly compared with each other.
This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170607.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-06-07. The instrument depth was 001 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170809.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2001r00_20170809.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-08-09. The instrument depth was 001 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170421.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170421.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-04-21. The instrument depth was 004 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170522.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170522.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-05-22. The instrument depth was 004 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170607.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170607.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-06-07. The instrument depth was 004 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170705.40.1
title: (:unkn)
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170705.50.1
title: PISCO: Physical Oceanography: moored temperature data: Strawberry Hill 15m, Oregon, USA (SH15XX)

description: This metadata record describes moored seawater temperature data collected at Strawberry Hill 15m, Oregon, USA, by PISCO. Measurements were collected using a Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2017-07-05. The instrument depth was 004 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.
DOI: 10.6085/aa/sh15xx_015mtv2004r00_20170809.40.1
title: (:unkn)
DOI: 10.17632/k885hgbsmh.1
title: Data for: Parent-Child Mentalizing in Pediatric Epilepsy
DOI: 10.5519/qd.iu6mow61
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (36 records)
DOI: 10.5519/qd.ptdkuts1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (26 records)
DOI: 10.21227/2877-mk46
title: Demands for bus ridesharing in Shanghai, China, feb 20, 2007.

description: This is the dataset used in the experiment of paper "Bus-Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 4,891,984 trajectory data from 4,000 Shanghai taxis from one day (Feb 20, 2007), and 66,369 trips are extracted from the trajectory data. The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms. Each set of coordinates is the pickup and delivery point randomly extracted from 66,369 trips.
DOI: 10.21227/6c0b-nr25
title: Demands for bus ridesharing in Shanghai, China, feb 20, 2007.

description: This is the dataset used in the experiment of paper "Bus-Pooling: A Large-Scale Bus Ridesharing Service". The dataset contains 4,891,984 trajectory data from 4,000 Shanghai taxis from one day (Feb 20, 2007), and 66,369 trips are extracted from the trajectory data. The 100 groups of coordinate sets containing three coordinates as experimental samples are used to compare the effectiveness and efficiency of location-allocation algorithms. Each set of coordinates is the pickup and delivery point randomly extracted from 66,369 trips.
DOI: 10.5258/soton/d0915
title: Data for paper 'Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials'

description: This data set contains the finite element generated data necessary to validate the generalized stress-strain curves.
It supports the paper:
Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials
F. Pierron, L. Fletcher
Journal of the Dynamic Behaviour of Materials, 2019
DOI: 10.1007/s40870-019-00197-9
DOI: 10.5519/qd.s9m4azuv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6 records)
DOI: 10.5519/qd.n2lerxfi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (41 records)
DOI: 10.5281/zenodo.2673049
title: Dataset for genes and gene variants from familial gastroschisis

description: The dataset consists of records from whole exome sequecing and bioinformatic analysis which includes genes and gene variants from a Mexican family with recurrence for gastroschisis (two affected half-sisters with gastroschisis, mother, and father of the proband). Release of this dataset was based on the Human Genome annotation, GRCh37/hg19. The full list of tables is described in the file READ ME and remain available in csv files.
description: {"references": ["Chen J et al. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 2009;37:W305\u2013W311.", "Mi H et al. PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements. Nucleic Acids Res 2017;45:D183\u2013D189.", "Salinas-Torres VM et al. Bioinformatic analysis of gene variants from gastroschisis recurrence identifies multiple novel pathogenetic pathways: implication for the closure of the ventral body wall. Int J Mol Sci 2019;20:2295.", "SNP & Variation Suite \u2122, Version 8x. (2018, August 31). Golden Helix Inc. Retrieved from http://www.goldenhelix.com", "Szklarczyk D et al. The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Res 2017;45:D362\u2013D368.", "Zerbino DR et al. Ensembl 2018. Nucleic Acids Res 2018;46:D754-D761."]}
DOI: 10.5519/qd.u16jzyqs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (68 records)
DOI: 10.17632/srwxbk8gxy.1
title: Data for: The effect of second phase la0.67tio2.87 on the phase structure and impedance spectroscopy of La2Ti2(1 + x)O7 piezoelectric ceramics

description: The impedance spetra of La2Ti2(1 + x)O7 ceramics
DOI: 10.17632/vzdhf7gjyr.1
title: Data for: Chemical and microstructural comparison of the export porcelain from five different kilns excavated from Nanhai I shipwreck

description: Chemcial compositions of the glazes and bodies of porcelain excavated from Nanhai-I shipwreck (Southern Song Dynasty) analyzed by EDXRF
DOI: 10.5519/qd.7j2pp82d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (36 records)
DOI: 10.5880/sfb806.48
title: 2019-05-08_CRC806-E1_Raw-material-polygons_database_Late-Palaeolithic_Europe

description: The dataset provides area-size data on raw-material-polygons - currently for internal use only.
DOI: 10.5519/qd.03r6yl9e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (38 records)
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n.1
title: C22H17FN2O4
title: InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+

description: This dataset contains experimental data from a sample (InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+).
      The datasets from the following experiments are available:
      
      Mass
      
      Mass
      
      IR
      
      1H NMR
      
      13C NMR
      
      Others
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/mass.1
title: Mass (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for Mass
      
      HRMS (C22H18FN2O4): Calc.: 393.1245; Found: 393.1244.
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/13cnmr
title: 13C NMR (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for 13C NMR
      
      13C NMR (100 MHz, CDCl3, ppm) δ = 52.4 (CH3), 52.6 (CH3), 117.4 (d, J = 19.9 Hz, CHAr), 117.8 (CHAr), 118.1 (CHAr), 124.5 (d, J = 3.8 Hz, CHAr), 129.2 (2C, CHAr), 129.7 (Cquart.), 130.9 (2C, CHAr), 130.9 (Cquart.), 131.1 (CHAr), 131.8 (CHAr), 133.3 (d, J = 8.4 Hz, CHAr), 140.8 (d, J = 6.6 Hz, Cquart.), 142.7 (Cquart.), 144.4 (Cquart.), 149.9 (Cquart.), 160.6 (d, J = 259 Hz, Cquart.), 166.5 (Cquart., COOCH3), 167.1 (Cquart., COOCH3).
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/1hnmr
title: 1H NMR (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for 1H NMR
      
      1H NMR (400 MHz, CDCl3, ppm) δ = 3.97 (s, 3H, CH3), 3.99 (s, 3H, CH3), 7.15 (t, J = 7.7 Hz, 1H, CHAr), 7.25–7.32 (m, 1 H), 7.38−7.48 (m, 2H, CHAr), 7.56–7.58 (m, 2H, CHAr), 7.68 (d, J = 8.1 Hz, 1H, CHAr), 8.12–8.14 (d, J = 8.2 Hz, 2H, CHAr), 8.24 (d, J = 8.1 Hz, 1H, CHAr), 8.42 (s, 1H, CHAr).
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/ir
title: IR (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for IR
      
      IR (ATR, ṽ) = 2951, 1719, 1604, 1589, 1482, 1434, 1279, 1241, 1188, 1103, 1026, 993, 911, 878, 847, 829, 787, 758, 700, 609, 569, 482, 454 cm–1.
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/mass
title: Mass (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for Mass
      
      MS (FAB, Matrix: 3-NBA), m/z (%): 409 (100) [M+H]+, 377 (17), 361 (9).
DOI: 10.14272/bapaeqfhsfxkpd-ocozrvbesa-n/others
title: Others (, InChI=1S/C22H17FN2O4/c1-28-21(26)15-9-7-14(8-10-15)17-12-11-16(22(27)29-2)13-20(17)25-24-19-6-4-3-5-18(19)23/h3-13H,1-2H3/b25-24+)

description: dataset for Others
      
      19F NMR (376 MHz, DMSO-d6, ppm) δ = -123.31
DOI: 10.3886/e109661v1
title: resilience,CIRR,SBV,depression

description: Studies have documented that school bullying victimization (SBV) aroused
by negative interpersonal relationships can lead victims to show more depressive
symptoms than those who are not bullied, but few studies have explored the
relationship among the three variables from a cumulative interpersonal
relationship risk (CIRR) perspective and examined how to reduce the negative
chain reactions aroused by CIRR from a positive psychological perspective. The
present research explored the protective mechanisms of resilience in the relations
among CIRR, SBV and depression and tested 2 serial mediation models for the
relationships. Self-report data were collected from 742 middle school students (48.38%
male) in grades 7-11 (mean age = 14.32 years, SD =1.54 years). The results supported both models. CIRR could
increase SBV by decreasing resilience and, therefore, improve a victim’s
depressive level. Alternatively, CIRR could also directly increase SBV and
further improve depressive level by decreasing resilience. Our results shed
light on the idea that it is a good suggestion to decrease SBV and depression that
follow multiple interpersonal relationship risk exposures by cultivating
adolescence resilience if we cannot reach the goal by decreasing multiple
interpersonal relationship risk at the same time.
DOI: 10.5258/soton/d0876
title: Dataset for: The Dielectric Properties of PP-EVA blends Compatibilised by an Organoclay

description: This document contains the raw data for the paper entitled "The Dielectric Properties of PP-EVA-Organoclay Composites" submitted to Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) 2019
DOI: 10.7910/dvn/uhhqh3
title: Stop Fat Storage

description: Stop Fat Storage is a unique online weight loss system designed to shut off the fat storing stress enzyme that gets produced twice as much once you reach the age of 35. This is precisely why weight loss becomes harder once you reach your mid 30’s; you’re experiencing more stress than when you were in your 20’s and to add onto it, your body is pumping out more of this fat storing stress enzyme. The good thing is that by learning the rituals that can turn off this enzyme, you can lose weight without spending hours at the gym or depriving yourself of delicious foods. The entire approach is also 100% natural; there’s no voodoo spells or weird stretches, miracle pills or any of that nonsense. You just need to learn the right ingredients that will turn off the production of the fat storing stress enzyme. And that’s exactly what Stop Fat Storage teaches you how to do.
DOI: 10.5519/qd.0r1a4tiu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (357 records)
DOI: 10.5519/qd.bxr28vm9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29 records)
DOI: 10.5519/qd.vvcq53pe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (216 records)
DOI: 10.5281/zenodo.2563796
title: Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"

description: Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"
description: Tested with Python 3.7.2, Numpy 1.16.2, Scipy 1.2.1, Matplotlib 3.0.3
PyQt5 is recommended