cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6457812
title: Inputs for lake morphology in ISIMIP3 runs of the global lake sector

description: Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven projections of future climate for a relatively small number of lakes. As a result, our understanding of the effects of climate change on lakes is fragmentary, based on scattered studies using different data sources and modelling protocols, and mainly focused on individual lakes or lake regions. This has precluded identification of the main impacts of climate change on lakes at global and regional scales and has likely contributed to the lack of lake water quality considerations in policy-relevant documents, such as the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). The Lake Sector of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) was founded for simulating climate change impacts on lakes using an ensemble of lake models and climate change scenarios. The protocol prescribes lake simulations driven by climate forcing from gridded observations and different Earth system models under various Representative Greenhouse Gas Concentration Pathways, all consistently bias-corrected on a 0.5° × 0.5° global grid. The ISIMIP Lake Sector is the largest international effort to project future water temperature, thermal structure, and ice phenology of lakes at local and global scales and paves the way for future simulations of the impacts of climate change on water quality and biogeochemistry in lakes. For a comprehensive description of ISIMIP, sectors, and protocols please see https://www.isimip.org/ In order to simulate the impacts of climate change on lakes worldwide, the ISIMIP3 Lake Sector protocol has defined a set of lakes to be modelled by all participating lake models, as well as the basic morphometry (i.e., hypsographic curves) information for each lake. This repository includes all calculations performed to obtain the final set of lake location and mosphometry inpput information for ISIMIP3 runs. For this, available datasets on global lake extension and morphometry were used first for selecting a set of representative lakes on Earth (~40000 lakes, one for each 0.5º pixel of the normalized input/putput grid for ISIMIP across sectors), and then morphological characteristics were assigned to each representative lake using a database on global lake morphology. The final set of files constitute the input data for lake morphology and location for ISIMIP3 Lake Sector runs, which are produced in netCDF format.<br>
description: {"references": ["https://www.hydrosheds.org/pages/hydrolakes", "https://doi.org/10.1038/ncomms13603", "https://doi.org/10.6084/m9.figshare.c.5243309.v1", "https://doi.org/10.1038/s41597-022-01132-9"]}
DOI: 10.18739/a2mg7fx16
title: Drivers and scale dependency of plant-fungal-bacterial community co-assembly across the Arctic (2005-2021)

description: Despite considerable attention to biodiversity patterns in the face of global change, it remains unknown whether the same ecological drivers shape patterns of diversity in prokaryotes versus eukaryotes and in microscopic, small and large organisms. Plants (large, eukaryotic), fungi (small, eukaryotic) and bacteria (microscopic, prokaryotic) interact intensively belowground and can reciprocally affect community compositions of the other kingdoms. Their combined interactions and activities comprise the nexus of ecosystem function in terrestrial biomes. This study examined the fundamental ecological drivers of community assembly (dispersal, environmental filtering, competition, facilitation, niche partitioning, neutral processes) of plant-fungal-bacterial (PFB) communities across hierarchical spatial and ecological scales in the Arctic. We used Illumina sequencing to analyze the fungal and bacterial communities from over 3500 soil samples collected at 11 sites along two latitudinal transects in North America and Eurasia. Each transect includes all five bioclimatic subzones and spans 1700 kilometers (km) North to South. Furthermore, we obtained plant community and environmental data from all sampling sites to address a series of hypotheses about the drivers of alpha and beta diversity as well as community composition separately and jointly across plants, fungi and bacteria. Here we present the assembled plant, fungal, bacterial and environmental data sets. We sampled the plants, environments and soils in the field from 2005 to 2010, and analyses of soil fungi (all the molecular work and processing of sequences and bioinformatics) were conducted from 2013 to 2021, for a total range of 2005-2021.
DOI: 10.25345/c59s1kp8g
title: MassIVE MSV000089264 - GNPS - Cyanobacteria extracts and fractions Maxis Impact HD
title: Fractions and purified compounds from cyanobacteria strains. LC-MS/MS was performed in an UltiMate 3000 UPLC system (Thermo Scientific) using a Kinetex 1.7 um C18 reversed phase UHPLC column (50 X 2.1 mm) and Maxis Impact Q-TOF mass spectrometer (Bruker Daltonics) equipped with ESI source. Data was acquired in positive ion mode.
DOI: 10.5281/zenodo.6463741
title: A new modulator of cultural transmission: congruence between learning and onward transmission contexts

description: This study investigated the effects of congruence between two contexts -the one in which we learn variants and the one in which we later transmit them- on cultural transmission. We hypothesized that when we are placed in a particular context, we will be more likely to produce (and therefore transmit) variants that we learned in that same context. In particular, we tested the effect of a social contextual aspect: the relationship between model and learner. Participants learned two variant methods to solve a puzzle, one from an “expert” (in an expert-to-novice context) and one from a “peer” (in a peer-to-peer context). They were then asked to transmit one variant onward, either to a “novice” (in a new expert-to-novice context) or to another “peer” (in a new peer-to-peer context). We measured whose variant they transmitted onward.
DOI: 10.5281/zenodo.6463740
title: A new modulator of cultural transmission: congruence between learning and onward transmission contexts

description: This study investigated the effects of congruence between two contexts -the one in which we learn variants and the one in which we later transmit them- on cultural transmission. We hypothesized that when we are placed in a particular context, we will be more likely to produce (and therefore transmit) variants that we learned in that same context. In particular, we tested the effect of a social contextual aspect: the relationship between model and learner. Participants learned two variant methods to solve a puzzle, one from an “expert” (in an expert-to-novice context) and one from a “peer” (in a peer-to-peer context). They were then asked to transmit one variant onward, either to a “novice” (in a new expert-to-novice context) or to another “peer” (in a new peer-to-peer context). We measured whose variant they transmitted onward.
DOI: 10.5517/ccdc.csd.cc28bpz9
title: CCDC 2095661: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq0c
title: CCDC 2095662: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq1d
title: CCDC 2095663: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq2f
title: CCDC 2095664: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq3g
title: CCDC 2095665: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq4h
title: CCDC 2095666: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28bq5j
title: CCDC 2095667: Experimental Crystal Structure Determination

description: Related Article: Thomas H. Do, Seth N. Brown|2022|Inorg.Chem.|61|5547|doi:10.1021/acs.inorgchem.1c04005
DOI: 10.5517/ccdc.csd.cc28g0sk
title: CCDC 2098848: Experimental Crystal Structure Determination

description: Related Article: Hang Peng, Jun-Chao Qi, Wei-Qiang Liao|2022|Chem.Mater.|34|3067|doi:10.1021/acs.chemmater.1c04086
DOI: 10.5517/ccdc.csd.cc28g0tl
title: CCDC 2098849: Experimental Crystal Structure Determination

description: Related Article: Hang Peng, Jun-Chao Qi, Wei-Qiang Liao|2022|Chem.Mater.|34|3067|doi:10.1021/acs.chemmater.1c04086
DOI: 10.5517/ccdc.csd.cc29172p
title: CCDC 2116341: Experimental Crystal Structure Determination

description: Related Article: Maoxin Li, Feier Fang, Xiao Huang, Guangyou Liu, Zheng Lai, Zhihao Chen, Jiahao Hong, Yu Chen, Rong-jia Wei, Guo-Hong Ning, Kai Leng, Yumeng Shi, Bingbing Tian|2022|Chem.Mater.|34|2955|doi:10.1021/acs.chemmater.1c03622
DOI: 10.5517/ccdc.csd.cc29173q
title: CCDC 2116342: Experimental Crystal Structure Determination

description: Related Article: Maoxin Li, Feier Fang, Xiao Huang, Guangyou Liu, Zheng Lai, Zhihao Chen, Jiahao Hong, Yu Chen, Rong-jia Wei, Guo-Hong Ning, Kai Leng, Yumeng Shi, Bingbing Tian|2022|Chem.Mater.|34|2955|doi:10.1021/acs.chemmater.1c03622
DOI: 10.5517/ccdc.csd.cc29174r
title: CCDC 2116343: Experimental Crystal Structure Determination

description: Related Article: Maoxin Li, Feier Fang, Xiao Huang, Guangyou Liu, Zheng Lai, Zhihao Chen, Jiahao Hong, Yu Chen, Rong-jia Wei, Guo-Hong Ning, Kai Leng, Yumeng Shi, Bingbing Tian|2022|Chem.Mater.|34|2955|doi:10.1021/acs.chemmater.1c03622
DOI: 10.5517/ccdc.csd.cc29g611
title: CCDC 2128802: Experimental Crystal Structure Determination

description: Related Article: Olga V. Khromova, Mikhail A. Emelyanov, Alexander F. Smol’yakov, Ivan V. Fedyanin, Victor I. Maleev, Vladimir A. Larionov|2022|Inorg.Chem.|61|5512|doi:10.1021/acs.inorgchem.1c03927
DOI: 10.5517/ccdc.csd.cc29g622
title: CCDC 2128803: Experimental Crystal Structure Determination

description: Related Article: Olga V. Khromova, Mikhail A. Emelyanov, Alexander F. Smol’yakov, Ivan V. Fedyanin, Victor I. Maleev, Vladimir A. Larionov|2022|Inorg.Chem.|61|5512|doi:10.1021/acs.inorgchem.1c03927
DOI: 10.5517/ccdc.csd.cc29g644
title: CCDC 2128805: Experimental Crystal Structure Determination

description: Related Article: Olga V. Khromova, Mikhail A. Emelyanov, Alexander F. Smol’yakov, Ivan V. Fedyanin, Victor I. Maleev, Vladimir A. Larionov|2022|Inorg.Chem.|61|5512|doi:10.1021/acs.inorgchem.1c03927
DOI: 10.5517/ccdc.csd.cc29g9wz
title: CCDC 2128921: Experimental Crystal Structure Determination

description: Related Article: Yi-Xin Xu, Yu-Qing Liang, Zhong-Jian Cai, Shun-Jun Ji|2022|Org.Lett.|24|2601|doi:10.1021/acs.orglett.2c00542
DOI: 10.5517/ccdc.csd.cc29g9y1
title: CCDC 2128923: Experimental Crystal Structure Determination

description: Related Article: Yi-Xin Xu, Yu-Qing Liang, Zhong-Jian Cai, Shun-Jun Ji|2022|Org.Lett.|24|2601|doi:10.1021/acs.orglett.2c00542
DOI: 10.5517/ccdc.csd.cc29jg5h
title: CCDC 2130976: Experimental Crystal Structure Determination

description: Related Article: Yingzheng Ren, Shuhui Lu, Lin He, Zhifei Zhao, Shi-Wu Li|2022|Org.Lett.|24|2585|doi:10.1021/acs.orglett.2c00411
DOI: 10.5517/ccdc.csd.cc28j0xr
title: CCDC 2100774: Experimental Crystal Structure Determination

description: Related Article: Ana P. Araujo de Oliveira, Victoria C. Romero Colmenares, Renata Diniz, Jennifer T. J. Freitas, Clara M. da Cruz, Eduardo B. Lages, Lucas A. M. Ferreira, Rafael P. Vieira, Heloisa Beraldo|2022|ACS Omega|7|11678|doi:10.1021/acsomega.1c06571
DOI: 10.5517/ccdc.csd.cc28j0ys
title: CCDC 2100775: Experimental Crystal Structure Determination

description: Related Article: Ana P. Araujo de Oliveira, Victoria C. Romero Colmenares, Renata Diniz, Jennifer T. J. Freitas, Clara M. da Cruz, Eduardo B. Lages, Lucas A. M. Ferreira, Rafael P. Vieira, Heloisa Beraldo|2022|ACS Omega|7|11678|doi:10.1021/acsomega.1c06571
DOI: 10.5517/ccdc.csd.cc29x4x9
title: CCDC 2142221: Experimental Crystal Structure Determination

description: Related Article: Carlos A. Fajardo-Hernández, Firoz Shah Tuglak Khan, Laura Flores-Bocanegra, Alejandra Prieto-Davó, Baojie Wan, Rui Ma, Mallique Qader, Rodrigo Villanueva-Silva, Anahí Martínez-Cárdenas, Marian A. López-Lobato, Shabnam Hematian, Scott G. Franzblau, Huzefa A. Raja, Rodolfo García-Contreras, Mario Figueroa|2022|ACS Omega|7|12171|doi:10.1021/acsomega.2c00544
DOI: 10.5517/ccdc.csd.cc28zrkl
title: CCDC 2114930: Experimental Crystal Structure Determination

description: Related Article: Fa-Yuan Ge, Qi Yan, Shuai Liang, Xin-De Duan, He-Gen Zheng|2022|Inorg.Chem.|61|5465|doi:10.1021/acs.inorgchem.1c03755
DOI: 10.6084/m9.figshare.19605976.v1
title: Taghavi et al. attachment

description: This is the randomly generated data set for resilient supply chain and CVAR technique.
DOI: 10.6084/m9.figshare.19605976.v2
title: Taghavi et al. attachment

description: This is the randomly generated data set for resilient supply chain and CVAR technique.
DOI: 10.6084/m9.figshare.19606036
title: Organic residue, lime and fertilizer effects on soil water repellency and aggregate stability of a clay loam incubated under contrasting moisture regimes

description: Dataset assess water drop penetration time, aggregate stability under rapid wetting and OM% as affected by soil moisture regime, liming, N-fertilizer additions and Organic residue management
DOI: 10.6084/m9.figshare.19606036.v1
title: Organic residue, lime and fertilizer effects on soil water repellency and aggregate stability of a clay loam incubated under contrasting moisture regimes

description: Dataset assess water drop penetration time, aggregate stability under rapid wetting and OM% as affected by soil moisture regime, liming, N-fertilizer additions and Organic residue management
DOI: 10.6084/m9.figshare.16663627
title: Routable_rivers_International_Amazon_region

description: Dataset containing the routable version of the rivers of the International Amazon
DOI: 10.6084/m9.figshare.16663627.v3
title: Routable_rivers_International_Amazon_region

description: Dataset containing the routable version of the rivers of the International Amazon
DOI: 10.5281/zenodo.6462338
title: SICILIAN_lemur_Mmur3_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Mouse Lemur Mmur3 assembly.
DOI: 10.5281/zenodo.6462337
title: SICILIAN_lemur_Mmur3_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Mouse Lemur Mmur3 assembly.
DOI: 10.5281/zenodo.6462332
title: SICILIAN_mouse_mm10_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Mouse mm10 assembly.
DOI: 10.5281/zenodo.6462331
title: SICILIAN_mouse_mm10_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Mouse mm10 assembly.
DOI: 10.5281/zenodo.6459610
title: SICILIAN_COVID_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for human hg38 + SARS-COV-2 combined assembly.
DOI: 10.5281/zenodo.6459609
title: SICILIAN_COVID_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for human hg38 + SARS-COV-2 combined assembly.
DOI: 10.5281/zenodo.6462314
title: SICILIAN_human_hg38_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Human hg38 assembly.
DOI: 10.5281/zenodo.6462313
title: SICILIAN_human_hg38_Refs

description: SICILIAN pipeline (https://github.com/salzmanlab/SICILIAN) index, reference, and annotation files for Human hg38 assembly.
DOI: 10.7294/jszj-r284
title: Data and Scripts for "Invasive plants negatively impact native, but not exotic, animals" by Fletcher et al.

description: These files contain the necessary code and data to reproduce the analyses in 'Invasive plants negatively impact native, but not exotic, animals' by Fletcher et al.
DOI: 10.7294/16832692.v1
title: Comparative genomics of bacteria from amphibian skin associated with inhibition of an amphibian fungal pathogen, Batrachochytrium dendrobatidis

description: <p>Bacteria were isolated from the
skin of four amphibian species in the Eastern US. These bacteria were tested
for their ability to inhibit the fungal pathogen <i>Batrachochytrium
dendrobatidis</i> (Bd) via <i>in vitro</i> challenge assays. 40 of these
bacteria were sent for whole genome sequencing. The aim of this study was to
identify genomic differences among the isolates and generate hypotheses about
the underpinnings of Bd growth inhibition.</p>
DOI: 10.7294/19241844.v2
title: SpaceDrones Labeled Training Images and Results

description: Labeled RGB image data of both real world and synthetic environments of orbital;/space platforms for the purposes of supervised machine learning training to enable autonomous robotic tasking.
DOI: 10.7294/14504913.v1
title: The environmental footprint of data centers in the United States

description: Much of the world’s data are stored, managed, and distributed by data centers.  Data centers re-quire a tremendous amount of energy to operate, accounting for around 1.8% of electricity use in the United States.  Large amounts of water are also required to operate data centers, both directly for liquid cooling and indirectly to produce electricity.  For the first time, we calculate spatially-detailed  carbon  and  water  footprints  of  data  centers  operating  within  the  United  States,  which is home to around one-quarter of all data center servers globally.   Our bottom-up approach reveals one-fifth of data center servers direct water footprint comes from moderately to highly water stressed watersheds, while nearly half of servers are fully or partially powered by power plants located within water stressed regions. Approximately 0.5% of total US greenhouse gas emissions are attributed to data centers.  We investigate tradeoffs and synergies between data center’s water and energy utilization by strategically locating data centers in areas of the country that will minimize one or more environmental footprints.  Our study quantifies the environmental implications behind our data creation and storage and shows a path to decrease the environmental footprint of our increasing digital footprint..
DOI: 10.7294/14448027
title: Vortex patterns in the wake of an oscillating cylinder in a flowing soap film

description: This data set contains video recordings of flow visualization experiments conducted in an inclined gravity-driven soap film channel, in which a cylinder was transversely oscillated at specific frequencies and amplitudes. Each video corresponds to a single experiment conducted at a certain non-dimensional frequency and amplitude.
DOI: 10.7294/xdx9-se32
title: Dogs’ and wolves’ differ in the time spent with an owner/caregiver or food in a concurrent choice procedure

description: Dogs show differential responding to their owners compared to strangers, including exploring more in the presence of the owner, gazing more at the owner, gazing more at a door through which the owner exited, following the owner more, and greeting the owner more effusively upon return. Wolves also show differential responding to their caregivers, similar to dogs’ behavior towards their owner. Nevertheless, overall levels of social interaction vary between dogs and wolves, with dogs playing more with both familiar and unfamiliar humans, spending more time in proximity to humans, and showing shorter latencies to approach humans than wolves. In the current study, we investigated whether dogs and hand-reared wolves differed in their preference for their owner/caregiver or food when they have been equally deprived of each (at least 4 hours). Each canid experienced four trials; we measured first choice and time spent with each alternative. For two subsets of dogs, we conducted a follow-up study investigating whether we could modify their preference by having the owner call to the dog (for dogs that exclusively chose their food first in the first study) or by providing higher value food in the food bowl (for dogs that exclusively chose their owner first in the first study). Dogs tended to allocate their first choice to the owner whereas wolves allocated more of their first choice to food. Dogs and wolves did not differ in the time allocated to food during the trial, but dogs did allocate more time to the owner than wolves did to the caregiver.
DOI: 10.7294/66gv-gy31
title: Geotechnical Investigation and Characterization of Bivalve-Sediment Interactions

description: (V1, superseded by new version, doi:10.7294/7fn0-dy54) A variety of field and laboratory instrumentation were utilized to geotechnically investigate and characterize bivalve-sediment interactions for three different field sites. The three field sites are the Piankatank River in Virginia, the Northwest Arm of the Sydney Harbour in Nova Scotia, Canada, and the Rachel Carson Reserve in North Carolina. This dataset encompasses the raw and processed data needed to reproduce the results in the associated publications.
DOI: 10.7294/0sev-1q36
title: Virginia Postsecondary STEM-H Programs and Degrees (public dataset)

description: This dataset file reports information regarding offering or receipt of STEM-H postsecondary degrees within the state of Virginia, as reported by the State Council of Higher Education for Virginia (SCHEV).   SCHEV public files were combined and reconfigured to assist researchers using the Virginia Longitudinal Data System (VLDS) as part of the Building Research Infrastructure and Community Project (BRIC).    

Datafiles contained in this dataset include: 
 •	STEM-H, Engineering and Computer/Information Science Degrees Awarded 2013 – 2017
•	Two-Year Virginia Institutions of Higher Education Offering Engineering and Computer Science Degrees
DOI: 10.7294/y376-z243
title: Can Children of Different Races "See" Themselves in Audiobooks Data

description: Culturally responsive teachers and librarians must guide students toward high-quality children’s literature featuring characters of color via multiple formats, including audiobooks. This study examined the accessibility of audio versions of award-winning children’s novels in public libraries across the United States. Chi-Square analyses were used to determine whether offerings in each of six U.S. locales were distributed proportionally using a significance level of p < .05. Findings revealed a deficit in audio versions of novels primarily featuring characters of color in both production and library availability. As audiobooks represent an important point of access to children’s literature, book publishers and librarians must strengthen efforts to provide audio versions of high-quality novels written for youth audiences. Particularly needed are books reflecting Latino/a, Asian/Pacific, and American Indian populations.