cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25625/guhdrr
title: Oil palm yields for yield penalties calculations BEE

description: Oil palm yields for calculating yield penalties in the 56 EFForTS-BEE plots: Available yield data from oil palms within the EFForTS biodiversity enrichment experiment (BEE) were used to analyse the spatial and temporal yield variability among oil palms, experimental plots and their surroundings. The analyses use monthly yield data (2014-2018) from oil palms within tree-enriched plots (0, 1, 2, 3 or 6 planted species) and conventionally managed control plots, adjacent to these plots and far outside the plots (control palms). The data was used to derive the ‘yield penalties’ per area, i.e. the reductions in per-area oil palm yield due to tree planting and associated oil palm removal across the experimental plots of different tree diversity levels and size. The yield dataset contains a .xlmx file with the following spreadsheets: 1) Metadata and abbreviations, 2) palm-level inside-plot yields ("Y ins (palm)"), 3) the corresponding dates of harvest ("D ins (palm)"), 4) plot-level inside-plot yields ("Y ins (plot)"), 5) the corresponding dates of harvest ("D ins (plot)"), 6) yields directly adjacent to the plots ("Y adj"), 7) the corresponding dates of harvest ("D adj"), 8) yields of control palms ("Y control"), 9) the corresponding dates of harvest ("D control"). All yield values are presented in kg fresh fruit bunches (FFB). Further details on the applied methodology can be found in Lorenz (2018): https://www.uni-goettingen.de/de/document/download/04fdf8539e25be98c64ad63b8144a6ef.pdf/MasterThesis_B11_Hendrik%20Lorenz_2018.pdf
DOI: 10.23728/b2share.e64738d08a4a4e828700c04ce4802cce
title: BurnsmuirCairngorms - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for BurnsmuirCairngorms e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.23728/b2share.6754e1d72a75478090a84216c0321d4d
title: BurnsmuirCairngorms - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for BurnsmuirCairngorms e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.23728/b2share.09454896da99494f931be25e279658ef
title: LTSERZoneAtelierAlpes - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for LTSERZoneAtelierAlpes e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.6073/pasta/304339961f67ac9892d1a6ad77eb6c5a
title: MCR LTER: Coral Reef: Ocean Currents and Biogeochemistry: salinity, temperature and current at CTD and ADCP mooring FOR05 from 2005 ongoing

description: Moored and bottom mounted instrumentation (ADCP, CTD, thermistors, wave-tide meters) sampled year-round on the reef of Moorea Island, French Polynesia at site FOR05. Sampling began in 2005. All data have been interpolated onto a 20 min grid. ADCP data are orgainized into 1-meter bins, measured as height from the bottom, to a maximum of 20 bins. All bins may not be filled, and although post processing attempted to exclude data from bins 'above the surface', users need to exercise caution with the near surface bins. CTD parameters include Pressure, Temperature, Conductivity, Salinity and Density. The two moored CTD packages are located approximately 5 and 14 meters above the bottom, and there are up to 5 additional temperature thermistors spaced vertically along the mooring line. Note that the upper CTD was terminated in July 2020, bottom CTD was terminated in October 2021, and temperature thermistor data was terminated in January 2020. There are 2 bottom mounted thermistors in the vicinity of the mooring at 10 and 20 meter depth. A bottom mounted wave-tide meter provides a measure of significant wave height and dominant wave period at a 2 hour sampling interval. Tide related data may be calculated from bottom-mounted pressure sensor data. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.23728/b2share.d84a0855ef7241839da4b0f4644e8553
title: KerkiniLake - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for KerkiniLake e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.23728/b2share.913069fbb66740a7a80d5de7ce32edb7
title: Montado - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent for Montado e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.5519/qd.xy2ud6n2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (428 records)
DOI: 10.23728/b2share.fa82d241391c4b9e867731b3b9e82f7d
title: LTSERDutchWaddenSea - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for LTSERDutchWaddenSea e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.3886/e182925v1
title: Measuring document similarity with weighted averages of word embeddings

description: Data and code for "Measuring document similarity using word embeddings" by Seegmiller, Papanikolaou, and Schmidt (2022)
DOI: 10.3886/e182925
title: Data and code for "Measuring document similarity with weighted averages of word embeddings"

description: Data and code for "Measuring document similarity using word embeddings" by Seegmiller, Papanikolaou, and Schmidt (2022)
DOI: 10.3886/e182925v2
title: Data and code for "Measuring document similarity with weighted averages of word embeddings"

description: Data and code for "Measuring document similarity using word embeddings" by Seegmiller, Papanikolaou, and Schmidt (2022)
DOI: 10.5281/zenodo.7314629
title: The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches

description: Dataset for Panther
DOI: 10.5281/zenodo.7314628
title: The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches

description: Dataset for Panther
DOI: 10.23728/b2share.388b113860ae4b4da48214c18f30b91f
title: GesauseNationalPark - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for GesauseNationalPark e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data. The SCE maps were validated against in situ data collected by weather stations equipped with snow gauges. The following metrics were computed: the class metrics Producer Accuracy (PA), User Accuracy (UA) and F1-score (F1) and the overall metrics Overall Accuracy (OA) and Macro-F1-score. OA 0.926 Snow PA 0.865 Snow UA 0.918 Snow F1 0.891 No-Snow PA 0.959 No-Snow UA 0.930 No-Snow F1 0.944 Macro-F1 0.918
DOI: 10.23728/b2share.5919b9ca10044e64aef836f448d69a3e
title: Svartberget - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for Svartberget e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data. The SCE maps were validated against in situ data collected by weather stations equipped with snow gauges. The following metrics were computed: the class metrics Producer Accuracy (PA), User Accuracy (UA) and F1-score (F1) and the overall metrics Overall Accuracy (OA) and Macro-F1-score. OA 0.913 Snow PA 0.882 Snow UA 0.984 Snow F1 0.930 No-Snow PA 0.971 No-Snow UA 0.810 No-Snow F1 0.883 Macro-F1 0.907
DOI: 10.23728/b2share.df83c69cc955416f9fb847ba86b3141b
title: TERENOEifelLowerRhineValley - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for TERENOEifelLowerRhineValley e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.7284/129744
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise MGL1806 using a Hawaii UHDAS instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129722
title: Expendable Probe data collected during research cruise MGL1806 using a Sippican MK21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129735
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1806 using a CCTech C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129747
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1806 using a CCTech C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129738
title: Gravimeter data collected during research cruise MGL1806 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129731
title: Gyrocompass data collected during research cruise MGL1806 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129728
title: INS (Inertial Navigation System) data collected during research cruise MGL1806 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129740
title: INS (Inertial Navigation System) data collected during research cruise MGL1806 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129727
title: Magnetometer data collected during research cruise MGL1806 using a Geometrics G-882 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129723
title: Multibeam Echosounder data collected during research cruise MGL1806 using a Kongsberg EM122 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129729
title: Singlebeam Echosounder data collected during research cruise MGL1806 using a Knudsen 3260 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129726
title: Speedlog data collected during research cruise MGL1806 using a Furuno DS-50 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129730
title: TSG (Thermosalinograph) data collected during research cruise MGL1806 using a SeaBird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.23728/b2share.8d628873b8c147f09a3b74090ff65b08
title: TEREROHarzCentralGerman - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for TEREROHarzCentralGerman e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.23728/b2share.5ed401dfe7274f268fcfed2aa595df70
title: KalkalpenNationalPark - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for KalkalpenNationalPark e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.5281/zenodo.7314445
title: Strategies for and Barriers to Collaboratively Developing Anti-racist Policies and Resources as Described by Geoscientists of Color Participating in the Unlearning Racism in Geoscience (URGE) Program

description: The Unlearning Racism in Geosciences (URGE) program guides groups of geoscientists as they draft, implement, and assess anti-racist policies and resources for their workplace. Some participating Geoscientists of Color (GoC) shared concerns about microaggression, tokenism, and power struggles within their groups. These reports led us to collect and analyze data that describe the experiences of GoC in URGE. The data are from five discussion groups and two surveys. Our analyses revealed that participating GoC want to continue working with White colleagues on anti-racist work. GoC want White colleagues not to shy away from doing anti-racist work. Instead, GoC want White colleagues (1) to create and adhere to robust behavioral codes of conduct, (2) to focus discussions on anti-racism, (3) to act on anti-racism initiatives, (4) not to prompt GoC to educate them or reveal trauma, and (5) to refrain from microaggressions and tokenism. These desired outcomes were achieved in some groups with varying degrees of success. Correcting a history of mistrust relating to racism and anti-racism action is key to implementing and assessing effective anti-racist policies and resources. This requires leadership support, following through on anti-racism action, and deepening relationships between GoC and White colleagues. Future anti-racist programs should spend a substantial amount of time on and demonstrate the importance of training participants how to discuss racism effectively and how to create and adhere to robust behavioral codes of conduct. Future programs should also explore developing a robust program-wide code of conduct that includes a policy for reporting offenses.
DOI: 10.5281/zenodo.7314444
title: Strategies for and Barriers to Collaboratively Developing Anti-racist Policies and Resources as Described by Geoscientists of Color Participating in the Unlearning Racism in Geoscience (URGE) Program

description: The Unlearning Racism in Geosciences (URGE) program guides groups of geoscientists as they draft, implement, and assess anti-racist policies and resources for their workplace. Some participating Geoscientists of Color (GoC) shared concerns about microaggression, tokenism, and power struggles within their groups. These reports led us to collect and analyze data that describe the experiences of GoC in URGE. The data are from five discussion groups and two surveys. Our analyses revealed that participating GoC want to continue working with White colleagues on anti-racist work. GoC want White colleagues not to shy away from doing anti-racist work. Instead, GoC want White colleagues (1) to create and adhere to robust behavioral codes of conduct, (2) to focus discussions on anti-racism, (3) to act on anti-racism initiatives, (4) not to prompt GoC to educate them or reveal trauma, and (5) to refrain from microaggressions and tokenism. These desired outcomes were achieved in some groups with varying degrees of success. Correcting a history of mistrust relating to racism and anti-racism action is key to implementing and assessing effective anti-racist policies and resources. This requires leadership support, following through on anti-racism action, and deepening relationships between GoC and White colleagues. Future anti-racist programs should spend a substantial amount of time on and demonstrate the importance of training participants how to discuss racism effectively and how to create and adhere to robust behavioral codes of conduct. Future programs should also explore developing a robust program-wide code of conduct that includes a policy for reporting offenses.
DOI: 10.23728/b2share.63ff6e748ff34edd8b314805c73b7ffe
title: Donana - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for Donana e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.23728/b2share.914c38d9675149c8bc18e0be48cf6ef3
title: GranParadiso - Snow Cover Extent - 2019/2020

description: Sentinel-2 Snow Cover Extent (SCE) for GranParadiso e-shape site of years 2019 and 2020.
description: Details on methodology used can be found in this reference: https://doi.org/10.3390/rs13101957.
description: The final output consists of 20 m resolution raster masks in GeoTIFF format with: 0, No snow; 100, Snow; 205, Cloud; 254, No Data.
DOI: 10.6084/m9.figshare.17111859
title: Correlation between S100B and severity of depression in MDD: A meta-analysis

description: Previous studies have demonstrated elevated levels of the S100B protein (located in glial cells) in major depressive disorder (MDD) as compared to healthy controls. However, studies reporting correlation between S100B levels and depression severity have been conflicting. We investigated, through systematic review and meta-analysis, whether the correlation between S100B levels and depression severity is significant in patients with MDD. Pearson correlation coefficients reported in the individual studies were converted to Fisher’s Z scores, then pooled using the random effects model. Meta-regression was used to test modifiers of the effect size. Sixteen studies including 658 patients with MDD met eligibility criteria. No publication bias was observed. There was a significant and positive correlation between serum S100B level and depression severity (<i>r</i> = 0.204, <i>z</i> = 2.297, <i>p</i> = 0.022). A meta-regression determined that onset age of MDD and percentage of female participants are significant modifiers of this correlation. A moderate, but non-significant heterogeneity was observed in serum studies (44%). As many studies have reported significantly increased levels of S100B in MDD compared to controls, this meta-analysis supports the assumption that the increase in S100B correlates with the severity of MDD. Additional studies investigating the precise biological connection between S100B and MDD are indicated.
DOI: 10.6084/m9.figshare.17111859.v1
title: Correlation between S100B and severity of depression in MDD: A meta-analysis

description: Previous studies have demonstrated elevated levels of the S100B protein (located in glial cells) in major depressive disorder (MDD) as compared to healthy controls. However, studies reporting correlation between S100B levels and depression severity have been conflicting. We investigated, through systematic review and meta-analysis, whether the correlation between S100B levels and depression severity is significant in patients with MDD. Pearson correlation coefficients reported in the individual studies were converted to Fisher’s Z scores, then pooled using the random effects model. Meta-regression was used to test modifiers of the effect size. Sixteen studies including 658 patients with MDD met eligibility criteria. No publication bias was observed. There was a significant and positive correlation between serum S100B level and depression severity (<i>r</i> = 0.204, <i>z</i> = 2.297, <i>p</i> = 0.022). A meta-regression determined that onset age of MDD and percentage of female participants are significant modifiers of this correlation. A moderate, but non-significant heterogeneity was observed in serum studies (44%). As many studies have reported significantly increased levels of S100B in MDD compared to controls, this meta-analysis supports the assumption that the increase in S100B correlates with the severity of MDD. Additional studies investigating the precise biological connection between S100B and MDD are indicated.
DOI: 10.14279/depositonce-16442
title: Supporting Information for A Review of Anaerobic Digestion Process Models for Organic Solid Waste Treatment with a Focus on C, N, and P Fates

description: This document serves as supporting information for the article "A Review of Anaerobic Digestion Process Models for Organic Solid Waste Treatment with a Focus on C, N, and P Fates". It contains code lists, figures, a survey template and references.
DOI: 10.3886/e113289v1-130527
title: Replication data for: Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?

description: Cash transfers to eligible households indirectly increase the consumption of ineligible households living in the same villages. This effect operates through insurance and credit markets: ineligible households benefit from the transfers by receiving more gifts and loans and by reducing their savings. Thus, the transfers benefit the local economy at large; looking only at the effect on the treated underestimates their impact. One should analyze the effects of this class of programs on the entire local economy, rather than on the treated only, and use a village-level randomization, rather than selecting treatment nd control subjects from the same community. (JEL H23, I38, O12, O15)
DOI: 10.34740/kaggle/dsv/1812157
title: Clash Royale S18 Ladder Datasets (37.9M matches)