cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2q23r13h
title: Soil Temperature MISP (Mobile Instrumented System Platform) and CALM (Circumpolar Active Layer Monitoring) grids in Barrow and Atqasuk, Alaska, 2018

description: Seasonal soil temperature measurements were collected during the 2018 growing season at each Circumpolar Active Layer Monitoring (CALM) grid subset plot (30) and at each Mobile Instrumented System Platform (MISP). Both of these grids are located at Utqiaġvik (formerly Barrow), Alaska as well as in Atqasuk, Alaska.
 For CALM measurements, at each plot one temperature measurement was acquired, the date, start and end times, and the people present were also recorded. Soil temperature measurements were taken outside of every plot on the northeastern most corner in order to reduce disturbance of vegetation.
 For MISP measurements, at each grid meter one soil temperature measurement was acquired, the date, start and end times, and the people present were also recorded. Soil temperature measurements were taken on the north side of the grid in order to reduce disturbance of vegetation.
 These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales.
DOI: 10.18739/a2k931694
title: Active Layer Depth MISP (Mobile Instrumented System Platform) and CALM (Circumpolar Active Layer Monitoring) grids in Barrow and Atqasuk, Alaska, 2018

description: Active layer depth measurements were collected during the 2018 growing season at each Circumpolar Active Layer Monitoring (CALM) grid subset plot (30) and at each Mobile Instrumented System Platform (MISP). Both of these grids are located at Utqiaġvik (formerly Barrow), Alaska as well as in Atqasuk, Alaska. 
 For CALM measurements, at each plot two active layer depth measurements were acquired, the date, start and end times, and the people present were also recorded. Active layer depth measurements were taken outside of every plot on the northeastern most corner in order to reduce disturbance of vegetation.
 For MISP measurements, at each grid meter two active layer depth measurement were acquired, the date, start and end times, and the people present were also recorded. Active layer depth measurements were taken on the north side of the grid in order to reduce disturbance of vegetation.
 These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales.
DOI: 10.18739/a2fj29d4h
title: Kite Aerial Photography MISP grid Barrow and Atqasuk, Alaska 2016 - 2017

description: Aerial photographs were collected during the 2016 and 2017 growing seasons at each Mobile Instrumented System Platform (MISP) located at Utqiaġvik (formerly Barrow), Alaska as well as in Atqasuk, Alaska.
 Most of the pictures taken are high resolution, however only a few are lacking good quality. The date, start and end flight times (local), the people present, cloud conditions, ground wind speed, weather conditions, height of rig, average kite angle, and the camera and kite used were recorded. 
 These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales.
DOI: 10.18739/a29s1km0c
title: Active Layer NIMS Barrow, Alaska 2014

description: Active Layer measurements were taken at each Networked Info-Mechanical System (NIMS) grid plot in Barrow, Alaska throughout the 2014 summer field season. University of Texas, El Paso (UTEP) SEL's Circumarctic Active Layer Monitoring (CALM) depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.
DOI: 10.18739/a2639k58m
title: Active Layer ARCSS grid Barrow, Alaska 2015

description: Active Layer measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The University of Texas at El Paso's Systems Ecology Lab (SEL) lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe.
DOI: 10.6084/m9.figshare.27888792
title: BmNPV-FR-Cev_raw_reads

description: NGS raw data for BmNPV-Cev-FR (GenBank PQ374139)
DOI: 10.6084/m9.figshare.27888792.v1
title: BmNPV-FR-Cev_raw_reads

description: NGS raw data for BmNPV-Cev-FR (GenBank PQ374139)
DOI: 10.18739/a22b8vc5z
title: Kite Aerial Photography NIMS grid Barrow, Alaska 2011

description: Aerial photographs of the Networked Info-mechanical Systems (NIMS) grid in Barrow, Alaska were taken using a rig and kite system. As part of the NIMS grid, white boards were nailed into the tundra to act as Ground Control Points (GCPs). The purpose of these boards was to facilitate the visibility of the grid from the aerial photographs, as well as to facilitate georeferencing using ArcMap GIS. Most of the pictures taken are high resolution although only a few are lacking good quality. The photographs are arranged according to flight date. The kite was flown about 2 times a week throughout June, July and August of summer 2011.
DOI: 10.18739/a2xk84r1f
title: Active Layer ARCSS grid Atqasuk, Alaska 2011

description: Active Layer measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The Systems Ecology Lab at the University of Texas El Paso (SEL) Circumpolar Active Layer Monitoring (CALM) depth probe was used to take the measurements.
DOI: 10.15468/dl.25gazx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ledermanniella pellucida (Engl.) C.Cusset"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027759-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2st7dx7p
title: Active Layer ARCSS grid Atqasuk, Alaska 2012

description: Active Layer measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) Grid in Atqasuk, Alaska during the 2012 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The System Ecology Laboratory (SEL) Circum-polar Active Layer Monitoring (CALM) depth probe was used to take the measurements.
DOI: 10.18739/a2p26q438
title: Kite Aerial Photography NIMS grid Toolik Lake, Alaska 2011

description: Aerial photographs of the Networked Info-mechanical Systems (NIMS) grid at Toolik Field Station, Alaska were taken using a camera rig and kite system. The kite was flown once on July 24th during the summer of 2011 at about 100-200 meters off the ground. Northerly winds at about 10 mph on the ground with about 60% cloud cover.
DOI: 10.15468/dl.q79rsj
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN",
 "TaxonKey is Solidago canadensis L."
 ]
}

 The dataset includes 137 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027760-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2j96098d
title: Soil Moisture NIMS grid Barrow, Alaska 2011

description: Soil Moisture measurements were taken at each Networked Info-mechanical Systems (NIMS) grid plot. Used the System Ecology Lab (SEL) at the University of Texas El Paso labels purple TDR 300 soil moisture probe for the measurements which were taken between the matted trail and each white board at every meter throughout the 2011 summer in Barrow, Alaska.
DOI: 10.18739/a2dj58h48
title: Kite Aerial Photography NIMS grid Atqasuk, Alaska 2011

description: Aerial photographs of the Networked Info-Mechanical System (NIMS) grid in Atqasuk, Alaska were taken using a rig and kite system. As part of the NIMS grid, white boards were nailed into the tundra to act as Ground Control Points (GCPs). The purpose of these boards was to facilitate the visibility of the grid from the aerial photographs, as well as to facilitate georeferencing using ArcMap Geographic Information System (GIS). Most of the pictures taken are high resolution although only a few are lacking good quality. The photographs are arranged according to flight date. The kite was flown about 2 times a week throughout June, July and August of summer 2011.
DOI: 10.17632/hk7chvgfzk.1
title: Dataset for Classifying Spices

description: In this Dataset, a total of 4,003 spice samples were collected from nine spice categories across
various locations in Bangladesh, including grocery stores, homes, and other sources. The spices
were carefully documented and categorized to create a comprehensive dataset for accurate
classification. The distribution of spice samples is as follows:
• Star Anise: 404 samples
• Red Chili: 460 samples
• Onion: 462 samples
• Indian Bay Leaf: 481 samples
• Green Chili: 432 samples
• Ginger: 412 samples
• Garlic: 599 samples
• Cinnamon: 468 samples
• Cardamom: 285 samples
DOI: 10.17632/hk7chvgfzk.2
title: Dataset for Classifying Spices

description: In this Dataset, a total of 4,003 spice samples were collected from nine spice categories across
various locations in Bangladesh, including grocery stores, homes, and other sources. The spices
were carefully documented and categorized to create a comprehensive dataset for accurate
classification. The distribution of spice samples is as follows:
• Star Anise: 404 samples
• Red Chili: 460 samples
• Onion: 462 samples
• Indian Bay Leaf: 481 samples
• Green Chili: 432 samples
• Ginger: 412 samples
• Garlic: 599 samples
• Cinnamon: 468 samples
• Cardamom: 285 samples
DOI: 10.18739/a28w3832c
title: Snow Melt Transect Barrow, Alaska ARCSS Grid 2010

description: This snow melt transect was set in place to create a foundation for snow melt throughout the field season within the Arctic System Science (ARCSS) grid in Barrow, Alaska. This grid has coordinates that are labelled A thru K and 1 thru 11 for each N-S and E-W row of markers respectively. The transect begins 2 meters west of ARCSS grid point D09 and extends south ending 2 meters west of ARCSS grid point F09. The total length of the transect is 200 meters. Measurements were taken at every 2 meters along the transect on the east side of the transect to avoid any disturbances. The location of the snow melt transect was chosen using ArcGIS tools.
DOI: 10.17632/gk4vcfd2k2.1
title: Data for Manuscript Title "Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses "

description: The data used in this study on net inflows of FDI, technology readiness, innovation, and infrastructure were obtained from The World Bank (https://api.worldbank.org) using the Python API. The data on imports of intermediate goods were obtained from https://wits.worldbank.org/. However, accessing the WITS server proved to be challenging, and the Python code frequently received a 404 error message due to request timeouts. For convenience, we uploaded the data on imports of intermediate goods in CSV format. This data will be merged with the data on other variables collected using the Python API on demand. The Python code for data collection and processing is provided in this repository.
DOI: 10.17632/gk4vcfd2k2.2
title: Data for Manuscript Title "Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses "

description: The data used in this study on net inflows of FDI, technology readiness, innovation, and infrastructure were obtained from The World Bank (https://api.worldbank.org) using the Python API. The data on imports of intermediate goods were obtained from https://wits.worldbank.org/. However, accessing the WITS server proved to be challenging, and the Python code frequently received a 404 error message due to request timeouts. For convenience, we uploaded the data on imports of intermediate goods in CSV format. This data will be merged with the data on other variables collected using the Python API on demand. The Python code for data collection and processing is provided in this repository.
To run the data collection and processing code:
1. download datatool.ipynb and iep_data.csv 
2. Install python library: "pip install -r requirements.txt"
3. Run the python script: "python datatool.ipynb"

To collect other indicators, please replace the indicator id in the script. To collect data from other countries and time interval, please replace the country code and start/end year. 
This script uses open source libraries and hereby has limited warranty as follows:

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
DOI: 10.17632/hk7chvgfzk.3
title: Dataset for Classifying Spices

description: In this Dataset, a total of 4,003 spice samples were collected from nine spice categories across
various locations in Bangladesh, including grocery stores, homes, and other sources. The spices
were carefully documented and categorized to create a comprehensive dataset for accurate
classification. The distribution of spice samples is as follows:
• Star Anise: 404 samples
• Red Chili: 460 samples
• Onion: 462 samples
• Indian Bay Leaf: 481 samples
• Green Chili: 432 samples
• Ginger: 412 samples
• Garlic: 599 samples
• Cinnamon: 468 samples
• Cardamom: 285 samples

After augmentation a total of 20,015 spice samples, the distribution of spice samples is as follows:
• Star Anise: 2020 samples
• Red Chili: 2300 samples
• Onion: 2310 samples
• Indian Bay Leaf: 2405 samples
• Green Chili: 2160 samples
• Ginger: 2060 samples
• Garlic: 2995 samples
• Cinnamon: 2340 samples
• Cardamom: 1425 samples
DOI: 10.18739/a2542j89d
title: Spectral Reflectance Measurements ARCSS grid Atqasuk, Alaska 2011

description: Spectral measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Atqasuk, Alaska during the summer of 2011. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from E2-E6 and J2-J6 with the 1 km^2 ARCSS grid. The instrumentation used was a Unispec dual channel (DC) spectrometer with fiber optics as sensors. A manfrotto tri-pod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tri-pod height of 1.62 meters. The sensor angle for each scan is 20 degrees. Extra reference scans were taken on a 100 percent reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.17632/gk4vcfd2k2.3
title: Data for Manuscript Title "Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses ", Emerging Markets Review, 63, 101217, 2024

description: The data used in this study on net inflows of FDI, technology readiness, innovation, and infrastructure were obtained from The World Bank (https://api.worldbank.org) using the Python API. The data on imports of intermediate goods were obtained from https://wits.worldbank.org/. However, accessing the WITS server proved to be challenging, and the Python code frequently received a 404 error message due to request timeouts. For convenience, we uploaded the data on imports of intermediate goods in CSV format. This data will be merged with the data on other variables collected using the Python API on demand. The Python code for data collection and processing is provided in this repository.
To run the data collection and processing code:
1. download datatool.ipynb and iep_data.csv 
2. Install python library: "pip install -r requirements.txt"
3. Run the python script: "python datatool.ipynb"

To collect other indicators, please replace the indicator id in the script. To collect data from other countries and time interval, please replace the country code and start/end year. 
This script uses open source libraries and hereby has limited warranty as follows:

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
DOI: 10.17632/fk265nhmnc.1
title: DETERMINING VERTICAL DIMENSION OF OCCLUSION USING ANTHROPOMETRIC METHODS: A SYSTEMATIC REVIEW AND META ANALYSIS

description: Figure S1: Forest plot for distance between tip of the thumb to tip of the index finger.
Figure S2: Forest plot for distance from center of eyelid pupil to rima oris.
Figure S3: Forest plot for distance from distal/ outer canthus of eye to rima oris.
Figure S4: Forest plot for distance from outer canthus eye to ear auditory meatus.
Figure S5: Forest plot for inner canthus of left eye to outer canthus of right eye.
Figure S6: Forest plot for length of ear.
Figure S7: Forest plot for length of index finger.
Figure S8: Forest plot for length of little finger.
Figure S9: Forest plot for subgroup distance between tip of the thumb to tip of the index finger.
Figure S10: Forest plot for subgroup distance from center of eyelid pupil to rima oris.
Figure S11: Forest plot for subgroup distance from outer canthus eye to ear auditory meatus.
Figure S12: Forest plot for subgroup inner canthus of left eye to outer canthus of right eye.
Figure S13: Forest plot for subgroup length of ear.
Figure S14: Forest plot for subgroup length of index finger.
Figure S15: Forest plot for subgroup length of thumb.
Table 1: Details of search strategy and data bases used in the current study and press report.
Table 2: Data Extraction Sheet.
Table 3: List of excluded articles with reasons.
DOI: 10.18739/a21c1tg58
title: Atqasuk NIMS grid LiDAR photographs 2011

description: At the end of the summer 2011 we took Light Detection and Ranging (LiDAR) measurements to depict Digital Elevation Models (DEMs) of the tundra vegetation within the Networked Info-mechanical Systems (NIMS) site in Atqasuk, Alaska. A set of photographs was taken at the time of the data collection. This includes a set of panoramic pictures taken by the researcher and a set taken by the LiDAR device itself. The LiDAR equipment was placed in six different positions around the NIMS grid targeting the actual grid.
DOI: 10.18739/a2wm13v08
title: Kite Aerial Photography NIMS grid Atqasuk, Alaska 2010

description: Aerial photographs of the Networked Info-mechanical Systems (NIMS) grid in Atqasuk, Alaska were taken using a rig and kite system. As part of the NIMS grid, white boards were nailed into the tundra to act as Ground Control Points (GCPs). The purpose of these boards was to facilitate the visibility of the grid from the aerial photographs, as well as to facilitate georeferencing using ArcMap GIS. Most of the pictures taken are high resolution although only a few are lacking good quality. The photographs are arranged according to flight date. The kite was flown about 2 times a week throughout July and August of summer 2010.
DOI: 10.18739/a2rv0d16x
title: Active Layer NIMS grid Atqasuk, Alaska 2013

description: Active Layer measurements were taken at each Networked Info-mechanical Systems (NIMS) grid plot in Atqasuk, Alaska throughout the 2013 summer field season. University of Texas, El Paso UTEP Systems Ecology Lab's (SEL) Circumarctic Active Layer Monitoring (CALM) depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.
DOI: 10.18739/a2n29p712
title: Spectral Reflectance Measurements ARCSS grid Atqasuk, Alaska 2010

description: Spectral measurements were taken on a 30 plot subset within the Arctic System Science (ARCSS) grid in Atqasuk, Alaska during the summer of 2010. Spectral measurements were taken from the north eastern most corner of each plot. The subset is located from E2-E6 &amp; J2-J6 with the 1 km^2 ARCSS grid. The instrumentation used was a Unispec dual channel (DC) spectrometer with fiber optics as sensors. A manfrotto tri-pod with an arm attachment was used to hold the fibers and sensors in place while taking the spectral measurements. The arm had 2 bubble levels to assist in keeping the sensors as level as possible. The calculated foot print cover is about 50-60 cm using a tri-pod height of 1.62 meters. The sensor angle for each scan is 20 degrees. Extra reference scans were taken on a 100 percent reflective white board surface. Some plots contain crosshairs that are used for point framing purposes and might have an effect on the reflectivity of each scan. Therefore, an extra scan was taken adjacent to each plot on the west side.
DOI: 10.18739/a2h98zd79
title: Kite Aerial Photography ARCSS grid Atqasuk, Alaska 2011

description: Aerial photographs of the Arctic System Science (ARCSS) grid (1km^2 study area) in Atqasuk, Alaska were taken using a camera rig and high altitude kite system. The kite was flown once on August 6th during the summer of 2011 at about 500-550 meters off the ground. Southerly winds at about 8-10 mph on the ground with slight rain showers in between.
DOI: 10.18739/a2cn6z07c
title: Kite Aerial Photography Ivotuk, Alaska 2011

description: Aerial photographs of study sites at Ivotuk, Alaska were taken using a camera rig and kite system. The kite was flown once on August 19th during the summer of 2011, varying between 100-200 meters off the ground. Unstable winds dominated at about 7-10 mph on the ground with scattered clouds. Most of the images are low to high oblique angles of the study area.
DOI: 10.18739/a27w67643
title: Active Layer NIMS grid Atqasuk, Alaska 2011

description: Active Layer measurements were taken at each Networked Info-mechanical Systems (NIMS) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. University of Texas, El Paso (UTEP) Systems Ecology Lab's (SEL) Circumpolar Active Layer Monitoring (CALM) depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.