cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e207042v1
title: Measuring the Efficacy of Zearn Math in Louisiana

description: I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and administrative data from the Louisiana Department of Education, I find that grade-levels that programmatically used Zearn Math scored, on average, about 0.03 standard deviation units higher on Louisiana’s statewide math assessment. A placebo test using English language arts scores and several robustness checks suggest this may be an underestimate of the true effect. These findings come at a crucial time as pandemic-related school closures have led to a twentyfold increase in public school spending on Zearn-related materials between July 2019 and July 2021 and its presence continues to expand across the nation.
DOI: 10.15468/dl.tz5u9q
title: Occurrence Download

description: A dataset containing 102564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 5a1a662b-4ec7-4b73-95bd-6356ebde1ba8",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 102564 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003970-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scad29
title: Occurrence Download

description: A dataset containing 75581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Meleagris gallopavo Linnaeus, 1758"
 ]
}

 The dataset includes 75581 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003977-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.demua2
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Phyllanthus martii Müll.Arg., Diasperus martii (Müll.Arg.) Kuntze)"
 ]
}

 The dataset includes 34 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003978-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9ebyw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Glironia venusta Thomas, 1912"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003979-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqfyra
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Croton caryophyllus Benth., Oxydectes caryophyllus (Benth.) Kuntze)"
 ]
}

 The dataset includes 22 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003980-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngkggh
title: Occurrence Download

description: A dataset containing 1551950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 1551950 records from 2808 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003953-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f33te
title: Occurrence Download

description: A dataset containing 1003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Pterocarpus soyauxii Taub."
 ]
}

 The dataset includes 1003 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038020-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/2357af23-c6be-a412-e063-7086abc04245
title: Sediment biogeochemical data collected as part of a seagrass Blue Carbon assessment of Turneffe Atoll, Belize (January 2019).

description: Seagrass sediments are important ‘blue carbon’ reservoirs which store climatically significant quantities of organic carbon (Corg) at global scale. This dataset contains observation-based estimates of Corg storage on Turneffe Atoll, Belize, January 2019, using remote-sensed habitat extent and local Corg data. Sedimentary organic carbon was determined from sediment core samples by elemental analysis. Camera equipped UAV were used to map seagrass and ground truth Sentinel 2 satellite imagery to map seagrass.
DOI: 10.5518/139
title: PEEK and CFR-PEEK knee wear dataset

description: This study investigated the wear performance of PEEK and CFR-PEEK in a low conformity total knee replacement configuration. Custom-made flat inserts were tested against cobalt-chromium femoral bearings in a knee wear simulation for a period of three million cycles. Wear was assessed gravimetrically at intervals throughout the study. This dataset presents the input profile for the knee wear simulator, the experimental wear data and associated figures relating to the paper
DOI: 10.15784/601832
title: Impact of Climate Change on Pair-Bond Dynamics of Snow Petrels (Pagodroma nivea)

description: Climate change can influence populations of monogamous species by affecting pair-bond dynamics. This study examined the impact of climate on widowhood and divorce, and the subsequent effects on individual vital rates and life-history outcomes over 54 years in a snow petrel (Pagodroma nivea) population. We found that environmental conditions can affect pair-bond dynamics both directly and indirectly. Divorce was adaptive, occurring more frequently after breeding failure and leading to improved breeding success. Divorce probabilities also increased under severe climatic conditions, regardless of prior breeding success, supporting the ``Habitat-mediated” mechanisms. Generally, pair-bond disruptions reduced subsequent vital rates and lifetime outcomes. Climate forecasts from an Atmosphere-Ocean General Circulation Model projected increased male widowhood rates due to decreased sea ice negatively affecting female survival, despite considerable uncertainty. These findings highlight the importance of environmentally induced changes in demographic and pair-bond disruption rates as crucial factors shaping demographic responses to climate change. 
<br>
DOI: 10.5281/zenodo.10694299
title: El Niño Enhances Snowline Rise and Ice Loss on the Quelccaya Ice Cap, Peru

description: El Niño Enhances Snowline Rise on the Quelccaya Ice Cap, Peru (in-review)

Kara A. Lamantia, Laura J. Larocca, Lonnie G. Thompson, Bryan Mark

Exported results from automated snow cover area detection on the Quelccaya Ice Cap (QIC). Further calculated results are detailed in the supplementary documentation in the draft manuscript. See READ ME.txt file for details

Sample Code available for Landsat 8 imagery here at the following URL: https://code.earthengine.google.com/cfcbd0780ff3f09b0698035cd6dd678a
DOI: 10.5281/zenodo.10694300
title: El Niño Enhances Snowline Rise and Ice Loss on the World's Largest Tropical Ice Cap

description: El Niño Enhances Snowline Rise on the World's Largest Tropical Ice Cap (in-review)

Kara A. Lamantia, Laura J. Larocca, Lonnie G. Thompson, Bryan Mark

Exported results from automated snow cover area detection on the Quelccaya Ice Cap (QIC). Further calculated results are detailed in the supplementary documentation in the draft manuscript. See READ ME.txt file for details
DOI: 10.15468/dl.qjh24j
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leavenworthia stylosa A.Gray"
 ]
}

 The dataset includes 967 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038022-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnhhv9
title: Occurrence Download

description: A dataset containing 1695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.35348 44.54632,-78.33367 44.54632,-78.33367 44.56236,-78.35348 44.56236,-78.35348 44.54632))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2003-2024"
 ]
}

 The dataset includes 1695 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038021-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27153595
title: Paleozoic tectono-thermal history of the amalgamation of the Tarim–North-China and Mongolian collages

description: Table S1.
DOI: 10.6084/m9.figshare.27153595.v1
title: Paleozoic tectono-thermal history of the amalgamation of the Tarim–North-China and Mongolian collages

description: Table S1.
DOI: 10.15468/dl.r2axph
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Botanical Database of Southern Africa (BODATSA): Botanical Collections",
 "TaxonKey is Erica jasminiflora Salisb."
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038023-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7n69dt
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Rhinella macrorhina (Trueb, 1971)"
 ]
}

 The dataset includes 284 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038024-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12656946
title: Data set of "Capacitive and Inductive Characteristics of Volatile Perovskite Resistive Switching Devices with Analog Memory"

description: The dataset of all data presented in the article published in the virtual special issue of the Journal of Physical Chemistry Letters:

"Capacitive and Inductive Characteristics of Volatile Perovskite Resistive Switching Devices with Analog Memory"

DOI: https://doi.org/10.1021/acs.jpclett.4c00945

 

The dataset contains the following raw data:

## FILE DESCRIPTION--------------### Figure 2- Fig2a.txt : Representative characteristic _I-V_ response of memristor (5 cycles)- Fig2b.txt : Upper vertex-dependent multilevel/multistate analog resistive switching- Fig2c.txt : Characteristic _I-V_ response of 20 distinct devices- Fig2d.txt : Endurance measurements for 1000 cycles of the LRS (ON state) and HRS (OFF state)

### Figure 3- Fig3a.txt : Characteristic _I-V_ response with an upper vertex of 0.25 V- Fig3b.txt : Characteristic _I-V_ response with an upper vertex of 0.75 V- Fig3c.txt : Characteristic _I-V_ response with an upper vertex of 1.25 V

### Figure 4- Fig4a.txt : IS spectrum under dark conditions at 0 V- Fig4b.txt : IS spectrum under dark conditions at 0.2 V- Fig4c.txt : IS spectrum under dark conditions at 0.3 V- Fig4d.txt : IS spectrum under dark conditions at 0.4 V- Fig4e.txt : IS spectrum under dark conditions at 0.6 V- Fig4f.txt : IS spectrum under dark conditions at 1.0 V

### Figure 5- Fig5a.txt : Voltage-dependent transient current response of the perovskite memristor- Fig5b.txt : Magnified view of the transient current response of a single voltage pulse at representative applied voltages- Fig5c.txt : Pulse width-dependent transient current response- Fig5d.txt : Corresponding magnified view of the first and last transient responses- Fig5e.txt : Synaptic potentiation and depression characteristic response of the memristor

### Figure 6- Fig6a.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 0.4 V- Fig6b.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 0.4 V- Fig6c.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 0.8 V- Fig6d.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 0.8 V- Fig6e.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 1.2 V- Fig6f.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 1.2 V
DOI: 10.5281/zenodo.12656947
title: Data set of "Capacitive and Inductive Characteristics of Volatile Perovskite Resistive Switching Devices with Analog Memory"

description: The dataset of all data presented in the article published in the virtual special issue of the Journal of Physical Chemistry Letters:

"Capacitive and Inductive Characteristics of Volatile Perovskite Resistive Switching Devices with Analog Memory"

DOI: https://doi.org/10.1021/acs.jpclett.4c00945

 

The dataset contains the following raw data:

## FILE DESCRIPTION--------------### Figure 2- Fig2a.txt : Representative characteristic _I-V_ response of memristor (5 cycles)- Fig2b.txt : Upper vertex-dependent multilevel/multistate analog resistive switching- Fig2c.txt : Characteristic _I-V_ response of 20 distinct devices- Fig2d.txt : Endurance measurements for 1000 cycles of the LRS (ON state) and HRS (OFF state)

### Figure 3- Fig3a.txt : Characteristic _I-V_ response with an upper vertex of 0.25 V- Fig3b.txt : Characteristic _I-V_ response with an upper vertex of 0.75 V- Fig3c.txt : Characteristic _I-V_ response with an upper vertex of 1.25 V

### Figure 4- Fig4a.txt : IS spectrum under dark conditions at 0 V- Fig4b.txt : IS spectrum under dark conditions at 0.2 V- Fig4c.txt : IS spectrum under dark conditions at 0.3 V- Fig4d.txt : IS spectrum under dark conditions at 0.4 V- Fig4e.txt : IS spectrum under dark conditions at 0.6 V- Fig4f.txt : IS spectrum under dark conditions at 1.0 V

### Figure 5- Fig5a.txt : Voltage-dependent transient current response of the perovskite memristor- Fig5b.txt : Magnified view of the transient current response of a single voltage pulse at representative applied voltages- Fig5c.txt : Pulse width-dependent transient current response- Fig5d.txt : Corresponding magnified view of the first and last transient responses- Fig5e.txt : Synaptic potentiation and depression characteristic response of the memristor

### Figure 6- Fig6a.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 0.4 V- Fig6b.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 0.4 V- Fig6c.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 0.8 V- Fig6d.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 0.8 V- Fig6e.txt : Transient current response of the volatile perovskite memristor with a single long pulse vs. a train of short pulses at 1.2 V- Fig6f.txt : Corresponding magnified view of the transient current response of a first voltage pulse at 1.2 V
DOI: 10.5518/140
title: Dataset associated with 'Influence of Kinematics on the Wear of a Total Ankle Replacement'

description: Dataset consisting of wear rates and the gait input profile alongside end of test component photos
DOI: 10.5281/zenodo.13863124
title: COG and Pfam annotation results of the genome sequences of four novel Endozoicomonas strains associated with the octocoral Litophyton in a long-term aquarium facility

description: COG and Pfam annotation files from DOE-JGI Microbial Genome Annotation Pipeline (MGAP) version 4(1), for four Endozoicomonas strains associated with the tropical octocoral Litophyton in a long-term aquarium facility. Data correspond to the assemblies of NE35, NE40, NE41, and NE43, available under the BioProject accession numbers PRJNA1075803, PRJNA1075804, PRJNA1075805 and PRJNA1075806, respectively. Results were submitted to the Integrated Microbial Genomes and Microbiomes system v7 (IMG/M) (2) for comparative analysis. The genome annotations can be interactively accessed on IMG/M (https://img.jgi.doe.gov/cgi-bin/m/main.cgi) using the following identifiers: 8036267134 (strain NE35), 8036277142 (strain NE40), 8045494135 (strain NE41); 8036272146 (strain NE43). 

This dataset is part of the following study:

Marques M, da Silva DMG, Santos E, Baylina N, Peixoto R, Kyrpides NC, Woyke T, Whitman WB, Keller-Costa T, Costa R. 2024. Genome sequences of four novel Endozoicomonas strains associated with a tropical octocoral in a long-term aquarium facility. Microbiology Resource Announcements

 

Other reference sources:

(1) Huntemann M, Ivanova NN, Mavromatis K, James Tripp H, Paez-Espino D, Palaniappan K, Szeto E, Pillay M, Chen IMA, Pati A, Nielsen T, Markowitz VM, Kyrpides NC. 2015. The standard operating procedure of the DOE-JGI Microbial Genome Annotation Pipeline (MGAP v.4). Stand Genomic Sci 10:1–6.

(2) Chen IMA, Chu K, Palaniappan K, Ratner A, Huang J, Huntemann M, Hajek P, Ritter SJ, Webb C, Wu D, Varghese NJ, Reddy TBK, Mukherjee S, Ovchinnikova G, Nolan M, Seshadri R, Roux S, Visel A, Woyke T, Eloe-Fadrosh EA, Kyrpides NC, Ivanova NN. 2023. The IMG/M data management and analysis system v.7: content updates and new features. Nucleic Acids Res 51:D723–D732.
DOI: 10.5281/zenodo.13863125
title: COG and Pfam annotation results of the genome sequences of four novel Endozoicomonas strains associated with the octocoral Litophyton in a long-term aquarium facility

description: COG and Pfam annotation files from DOE-JGI Microbial Genome Annotation Pipeline (MGAP) version 4(1), for four Endozoicomonas strains associated with the tropical octocoral Litophyton in a long-term aquarium facility. Data correspond to the assemblies of NE35, NE40, NE41, and NE43, available under the BioProject accession numbers PRJNA1075803, PRJNA1075804, PRJNA1075805 and PRJNA1075806, respectively. Results were submitted to the Integrated Microbial Genomes and Microbiomes system v7 (IMG/M) (2) for comparative analysis. The genome annotations can be interactively accessed on IMG/M (https://img.jgi.doe.gov/cgi-bin/m/main.cgi) using the following identifiers: 8036267134 (strain NE35), 8036277142 (strain NE40), 8045494135 (strain NE41); 8036272146 (strain NE43). 

This dataset is part of the following study:

Marques M, da Silva DMG, Santos E, Baylina N, Peixoto R, Kyrpides NC, Woyke T, Whitman WB, Keller-Costa T, Costa R. 2024. Genome sequences of four novel Endozoicomonas strains associated with a tropical octocoral in a long-term aquarium facility. Microbiology Resource Announcements

 

Other reference sources:

(1) Huntemann M, Ivanova NN, Mavromatis K, James Tripp H, Paez-Espino D, Palaniappan K, Szeto E, Pillay M, Chen IMA, Pati A, Nielsen T, Markowitz VM, Kyrpides NC. 2015. The standard operating procedure of the DOE-JGI Microbial Genome Annotation Pipeline (MGAP v.4). Stand Genomic Sci 10:1–6.

(2) Chen IMA, Chu K, Palaniappan K, Ratner A, Huang J, Huntemann M, Hajek P, Ritter SJ, Webb C, Wu D, Varghese NJ, Reddy TBK, Mukherjee S, Ovchinnikova G, Nolan M, Seshadri R, Roux S, Visel A, Woyke T, Eloe-Fadrosh EA, Kyrpides NC, Ivanova NN. 2023. The IMG/M data management and analysis system v.7: content updates and new features. Nucleic Acids Res 51:D723–D732.
DOI: 10.5281/zenodo.13311759
title: Consumer biodiversity increases organic nutrient availability across aquatic and terrestrial ecosystems

description: Human land-use intensification threatens arthropod (e.g., insect and spider) biodiversity across aquatic and terrestrial ecosystems. Insects and spiders play critical roles in ecosystems by accumulating and synthesizing organic nutrients like polyunsaturated fatty acids (PUFA).  However, links between biodiversity and nutrient content of insect and spider communities have yet to be quantified. We relate insect and spider richness to biomass and PUFA-mass from stream and terrestrial communities encompassing nine land-uses. PUFA-mass and biomass relate positively to biodiversity cross ecosystems. In terrestrial systems, human-dominated areas have lower biomass and PUFA-mass than more natural areas, even at equivalent levels of richness. Aquatic ecosystems have consistently higher PUFA mass than terrestrial ecosystems. Our findings reinforce the importance of conserving biodiversity and highlight unique benefits of aquatic biodiversity.This is all of the data and code required to reproduce the analyses.  The repository doesn't allow specific folder structures, but the data should ideally be organized into  folders organized and named as follows -

    1_raw_data/├─ bdm_data/│  ├─ bdm_families_list.csv├─ pufa_concentration_data/│  ├─ Literature_estimates/│  │  ├─ Literature_estimates.xlsx│  ├─ Margaux_PUFA_Conc/│  │  ├─ 2a.Lunz 2019_FA_InsectTransfer - Content.xlsx│  │  ├─ 3a.Lunz 2019_FA_InsectConsu - Content.xlsx│  ├─ Martin_Creuzberg_PUFA_Conc/│  │  ├─ all_STOTEN.xlsx│  ├─ Tarn_PUFA/│  │  ├─ Mindelsee_FA.xlsx├─ wsl_data/2_modified_data/├─ terr_insects_nutrients_null.rds├─ aq_insect_nutrients_null.rds├─ aquatic.data.rds├─ terrestrial_data.rds├─ insect_data/│  ├─ aq_insect_regressions.rds│  ├─ te_insect_regressions.rds├─ null_models/│  ├─ aquatic_habitat_all.rds│  ├─ terrestrial_habitat_all.rds3_r_scripts/├─ Diversity_Analaysis.rmd├─ Null_models.rmd├─ Nutrient_content.rmd├─ Scaling_relationships.rmd