cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14603267
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 2

description: LENS dataset 2024-02 Part 2

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.
DOI: 10.5281/zenodo.14603268
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 2

description: LENS dataset 2024-02 Part 2

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.
DOI: 10.7483/opendata.delphi.bksh.29m3
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m50_c99_1l_e1
DOI: 10.5281/zenodo.14603281
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 3

description: LENS dataset 2024-02 Part 3

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.
DOI: 10.5281/zenodo.14603282
title: LENS: A LEO Satellite Network Measurement Dataset - 202402 - Part 3

description: LENS dataset 2024-02 Part 3

Please see https://github.com/clarkzjw/LENS for the complete description of the dataset.
DOI: 10.5281/zenodo.14606216
title: 2_Reconst data biosynthetic pathway_All RSVs

description: Reconstruction data of pathways. Design and bacterial reconstruction strategies for synthesis. HPLC results for all RSVs. Combinatorial optimization analysis. Vector info.
DOI: 10.5281/zenodo.14606217
title: 2_Reconst maps biosynthetic pathway_All RSVs data

description: Reconstruction maps of pathways. Design and bacterial reconstruction strategies for synthesis. HPLC results for RSVs. Combinatorial optimization analysis.
DOI: 10.5281/zenodo.14606239
title: 2_Reconst data biosynthetic pathway_All RSVs

description: Reconstruction data of pathways. Design and bacterial reconstruction strategies for synthesis. HPLC results for all RSVs. Combinatorial optimization analysis. Vector info.
DOI: 10.17632/nrmg6hmsck.1
title: Data and Code for "Face Pareidolia Minimally Engages Macaque Face- Selective Neurons" by Koyano, Taubert, Robison, Waidmann, and Leopold, Progress in Neurobiology (2025)

description: Data and code used for the paper "Face pareidolia minimally engages macaque face- selective neurons" by Koyano, Taubert, Robison, Waidmann, and Leopold, published in Progress in Neurobiology (2025). The dataset consists of MATLAB .mat files containing firing rates, statistical data, and spike density functions for each neuron. The MATLAB scripts provided were used to generate the figures presented in the paper.
DOI: 10.17632/zykphpvbr7.1
title: The Impact of AI and ChatGPT on Bangladeshi University Students

description: The data set records the perceptions of Bangladeshi university students on the influence that AI tools, especially ChatGPT, have on their academic practices, learning experiences, and problem-solving abilities. The varying role of AI in education, which covers common usage statistics, what AI does to our creative abilities, its impact on our learning, and whether it could invade our privacy. This dataset reveals perspective on how AI tools are changing education in the country and offering valuable information for researchers, educators, policymakers, to understand trends, challenges, and opportunities in the adoption of AI in the academic contex.

 Methodology
Data Collection Method: Online survey using google from 
Participants: A total of 3,512 students from various Bangladeshi universities participated.
Survey Questions:The survey included questions on demographic information, frequency of AI tool usage, perceived benefits, concerns regarding privacy, and impacts on creativity and learning.

Sampling Technique: Random sampling of university students
Data Collection Period: June 2024 to December 2024

 Privacy Compliance
This dataset has been anonymized to remove any personally identifiable information (PII). It adheres to relevant privacy regulations to ensure the confidentiality of participants.

For further inquiries, please contact:
Name: Md Jhirul Islam, Daffodil International University
Email: jhirul15-4063@diu.edu.bd
Phone: 01316317573
DOI: 10.7483/opendata.delphi.zm66.ynf0
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m115_r99_1l_e1
DOI: 10.17632/zykphpvbr7.2
title: The Impact of AI and ChatGPT on Bangladeshi University Students

description: The data set records the perceptions of Bangladeshi university students on the influence that AI tools, especially ChatGPT, have on their academic practices, learning experiences, and problem-solving abilities. The varying role of AI in education, which covers common usage statistics, what AI does to our creative abilities, its impact on our learning, and whether it could invade our privacy. This dataset reveals perspective on how AI tools are changing education in the country and offering valuable information for researchers, educators, policymakers, to understand trends, challenges, and opportunities in the adoption of AI in the academic contex.

 Methodology
Data Collection Method: Online survey using google from 
Participants: A total of 3,512 students from various Bangladeshi universities participated.
Survey Questions:The survey included questions on demographic information, frequency of AI tool usage, perceived benefits, concerns regarding privacy, and impacts on creativity and learning.

Sampling Technique: Random sampling of university students
Data Collection Period: June 2024 to December 2024

 Privacy Compliance
This dataset has been anonymized to remove any personally identifiable information (PII). It adheres to relevant privacy regulations to ensure the confidentiality of participants.

For further inquiries, please contact:
Name: Md Jhirul Islam, Daffodil International University
Email: jhirul15-4063@diu.edu.bd
Phone: 01316317573
DOI: 10.17632/krt2252g6t.1
title: Sistema web incorporando IA para agilizar la gestión presupuestaria en Universidades Públicas del Perú - Resultados y Análisis

description: El conjunto de datos corresponde a la investigación titulada "Sistema web incorporando IA para agilizar la gestión presupuestaria en Universidades Públicas del Perú". La recopilación de datos se llevó a cabo en el año 2024 en la Facultad de Ingeniería de la Universidad Nacional de Trujillo. El análisis de los datos se realizó utilizando el lenguaje de programación R.
DOI: 10.17632/krt2252g6t.2
title: Sistema web incorporando IA para agilizar la gestión presupuestaria en Universidades Públicas del Perú - Resultados y Análisis

description: El conjunto de datos corresponde a la investigación titulada "Sistema web incorporando IA para agilizar la gestión presupuestaria en Universidades Públicas del Perú". La recopilación de datos se llevó a cabo en el año 2024 en la Facultad de Ingeniería de la Universidad Nacional de Trujillo. El análisis de los datos se realizó utilizando el lenguaje de programación R.
DOI: 10.7483/opendata.delphi.eo5d.i9pq
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m35_c99_1l_e1
DOI: 10.7483/opendata.delphi.wpjt.w22v
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e195.5_m90_c99_1l_e1
DOI: 10.7483/opendata.delphi.fb4z.3ma3
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m55_r99_1l_e1
DOI: 10.7483/opendata.delphi.v5g8.l9h0
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.6t2j.xd4d
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m60_r99_1l_e1
DOI: 10.7483/opendata.delphi.swqi.ad6z
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m45_c99_1l_e1
DOI: 10.17632/y3jn37j3p2.1
title: The histone chaperone CAF-1 prevents Rad52-mediated instability of the budding yeast ribosomal DNA during replication-coupled DNA double-strand break repair
DOI: 10.7483/opendata.delphi.j7cm.znau
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m50_r99_1l_e1
DOI: 10.7483/opendata.delphi.ft8t.r3q0
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m4_c99_1l_e1
DOI: 10.7483/opendata.delphi.ykbn.ev4y
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.upcg.50hs
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m75_r99_1l_e1
DOI: 10.7483/opendata.delphi.mqub.ar4z
title: DELPHI simulation data xs_hzha03pyth6156hzvg_e201.6_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.e9s5.04pe
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.czkd.n3zo
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m70_r99_1l_e1
DOI: 10.7483/opendata.delphi.mpie.2nys
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m10_c99_1l_e1
DOI: 10.7483/opendata.delphi.5xf7.6i0a
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m65_r99_1l_e1
DOI: 10.7483/opendata.delphi.refy.dhqe
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m25_c99_1l_e1
DOI: 10.7483/opendata.delphi.ap9b.cey8
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m80_r99_1l_e1
DOI: 10.7483/opendata.delphi.jvlm.1y8a
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m15_c99_1l_e1
DOI: 10.15468/dl.h4ssss
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platessa cornuta Temminck & Schlegel, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058715-241126133413365/datasets/export for details.
DOI: 10.7483/opendata.delphi.qhnr.g026
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m70_c99_1l_e1
DOI: 10.7483/opendata.delphi.cv2g.9yzn
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m90_r99_1l_e1
DOI: 10.7483/opendata.delphi.inqe.ds4y
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m20_c99_1l_e1
DOI: 10.7483/opendata.delphi.wfq3.2c8g
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m24_c99_1l_e1
DOI: 10.7483/opendata.delphi.0g0l.dqfk
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m85_r99_1l_e1
DOI: 10.7483/opendata.delphi.3xc2.dlni
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m30_c99_1l_e1
DOI: 10.7483/opendata.delphi.dqn5.o8s6
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m92.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.mk3o.ul8x
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m35_c99_1l_e1
DOI: 10.7483/opendata.delphi.tusx.qcru
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m100.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.b8ii.mqwd
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.m2us.6zgf
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m40_m40_c99_1l_e1
DOI: 10.15468/dl.mcpbwn
title: Occurrence Download

description: A dataset containing 7289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Rupicola peruvianus (Latham, 1790)",
 "Year 2014-2024"
 ]
}

 The dataset includes 7289 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058716-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.ai47.84wl
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m97.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.l3ig.skrb
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m45_c99_1l_e1
DOI: 10.7483/opendata.delphi.4z8l.961b
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m30_c99_1l_e1
DOI: 10.7483/opendata.delphi.0jb9.v4or
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e191.6_m95_r99_1l_e1
DOI: 10.7483/opendata.delphi.q9qo.xrff
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m4_c99_1l_e1
DOI: 10.7483/opendata.delphi.php3.t6ny
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m100_r99_1l_e1
DOI: 10.7483/opendata.delphi.2es5.amno
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e191.6_m50_c99_1l_e1
DOI: 10.15468/dl.jspkrw
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliotis gigantea Gmelin, 1791",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058717-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.aalb.u50g
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m105.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.1xdr.p9o6
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m10_c99_1l_e1
DOI: 10.7483/opendata.delphi.a24d.295e
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m30_m90_c99_1l_e1
DOI: 10.7483/opendata.delphi.kyf5.u2iz
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m102.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.cdn2.1aby
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m20_c99_1l_e1
DOI: 10.7483/opendata.delphi.518t.zxhz
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m18_c99_1l_e1
DOI: 10.7483/opendata.delphi.51hb.dnwe
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m110_r99_1l_e1
DOI: 10.6084/m9.figshare.27991582
title: Preassembled complexes of hAgo2 and ssRNA delivered by nanoparticles: a novel silencing gene expression approach overcoming the absence of the canonical pathway of siRNA processing in the apicomplexan parasite Babesia microti, blood parasite of veterinary and zoonotic importance

description: Due to the lack of efficacy of the currently used chemical drugs, poor tick control, and lack of effective vaccines against <i>Babesia</i>, novel control strategies are urgently needed. In this regard, searching for anti-<i>Babesia</i> gene therapy may facilitate the control of this infection. Following this pattern, small interfering RNAs (siRNAs) are widely used to study gene function and hence open the way to control the parasite. However, the primary constraint of this approach is the lack of <i>Babesia</i> to RNA-induced silencing complex (RISC) enzymes, making siRNA impractical. In this study, we preassembled complexes with the human enzyme argonaute 2 (hAgo2) and a small interfering RNA (siRNA)<i>/</i>single-stranded RNA (ssRNA) against <i>B. gibsoni</i> and <i>B. microti</i> metabolite transporters. The assembled complexes were generated by developing a gene delivery system with chitosan dehydroascorbic acid nanoparticles. The delivery system effectively protected the loaded RNAi and targeted <i>Babesia-</i>infected RBCs with a relatively high internalization rate. The assembled complexes were successfully transfected into live parasites for specific slicing of <i>Babesia</i> targets. We demonstrated a reduction in the expression of target genes at the mRNA level. Furthermore, this silencing inhibited <i>Babesia</i> growth <i>in vitro</i> and <i>in vivo</i>. For the first time, we used this method to confirm the role of the assembled complexes in manipulating the noncanonical pathway of RNAi in <i>Babesia</i> parasites. This novel method provides a means of silencing <i>Babesia</i> genes to study their role in host–parasite interactions and as potential targets for gene therapy and control.
DOI: 10.6084/m9.figshare.27991582.v2
title: Preassembled complexes of hAgo2 and ssRNA delivered by nanoparticles: a novel silencing gene expression approach overcoming the absence of the canonical pathway of siRNA processing in the apicomplexan parasite Babesia microti, blood parasite of veterinary and zoonotic importance

description: Due to the lack of efficacy of the currently used chemical drugs, poor tick control, and lack of effective vaccines against <i>Babesia</i>, novel control strategies are urgently needed. In this regard, searching for anti-<i>Babesia</i> gene therapy may facilitate the control of this infection. Following this pattern, small interfering RNAs (siRNAs) are widely used to study gene function and hence open the way to control the parasite. However, the primary constraint of this approach is the lack of <i>Babesia</i> to RNA-induced silencing complex (RISC) enzymes, making siRNA impractical. In this study, we preassembled complexes with the human enzyme argonaute 2 (hAgo2) and a small interfering RNA (siRNA)<i>/</i>single-stranded RNA (ssRNA) against <i>B. gibsoni</i> and <i>B. microti</i> metabolite transporters. The assembled complexes were generated by developing a gene delivery system with chitosan dehydroascorbic acid nanoparticles. The delivery system effectively protected the loaded RNAi and targeted <i>Babesia-</i>infected RBCs with a relatively high internalization rate. The assembled complexes were successfully transfected into live parasites for specific slicing of <i>Babesia</i> targets. We demonstrated a reduction in the expression of target genes at the mRNA level. Furthermore, this silencing inhibited <i>Babesia</i> growth <i>in vitro</i> and <i>in vivo</i>. For the first time, we used this method to confirm the role of the assembled complexes in manipulating the noncanonical pathway of RNAi in <i>Babesia</i> parasites. This novel method provides a means of silencing <i>Babesia</i> genes to study their role in host–parasite interactions and as potential targets for gene therapy and control.
DOI: 10.6084/m9.figshare.27991582.v1
title: Preassembled complexes of hAgo2 and ssRNA delivered by nanoparticles: A novel silencing gene expression approach overcoming the absence of the canonical pathway of siRNA processing in the apicomplexan parasite <i>Babesia microti</i>, blood parasite of veterinary and zoonotic importance

description: Due to the lack of efficacy of the currently used chemical drugs, poor tick control, and lack of effective vaccines against <i>Babesia</i>, novel control strategies are urgently needed. In this regard, searching for anti-<i>Babesia</i> gene therapy may facilitate the control of this infection. Following this pattern, small interfering RNAs (siRNAs) are widely used to study gene function and hence open the way to control the parasite. However, the primary constraint of this approach is the lack of <i>Babesia</i> to RNA-induced silencing complex (RISC) enzymes, making siRNA impractical. In this study, we preassembled complexes with the human enzyme argonaute 2 (hAgo2) and a <i>/</i>single-stranded RNA (ssRNA) against <i>B. gibsoni</i> and <i>B. microti</i> metabolite transporters. The assembled complexes were generated by developing a gene delivery system with chitosan dehydroascorbic acid nanoparticles. The delivery system effectively protected the loaded RNAi and targeted <i>Babesia-</i>infected RBCs with a relatively high internalization rate. The assembled complexes were successfully transfected into live parasites for specific slicing of <i>Babesia</i> targets. We demonstrated a reduction in the expression of target genes at the mRNA level. Furthermore, this silencing inhibited <i>Babesia</i> growth <i>in vitro</i> and <i>in vivo</i>. For the first time, we used this method to confirm the role of the assembled complexes in manipulating the noncanonical pathway of RNAi in <i>Babesia</i> parasites. This novel method provides a means of silencing <i>Babesia</i> genes to study their role in host-parasite interactions and as potential targets for gene therapy and control.
DOI: 10.7483/opendata.delphi.3eag.wqci
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m25_c99_1l_e1
DOI: 10.7483/opendata.delphi.ov0u.t02l
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m110.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.a5ce.5mvg
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m15_c99_1l_e1
DOI: 10.7483/opendata.delphi.7t18.kvp6
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m105_r99_1l_e1
DOI: 10.7483/opendata.delphi.724u.bq85
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m30_c99_1l_e1
DOI: 10.7483/opendata.delphi.3t3q.sm21
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m40_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.9ip9.nil7
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m107.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.s6zi.16tb
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m35_c99_1l_e1
DOI: 10.15468/dl.6uxq6c
title: Occurrence Download

description: A dataset containing 9208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bistorta bistortoides (Pursh) Small"
 ]
}

 The dataset includes 9208 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058718-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.xzks.qhip
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m60_c99_1l_e1
DOI: 10.7483/opendata.delphi.f7wd.wdr2
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m112.5_r99_1l_e1
DOI: 10.7483/opendata.delphi.tkt9.qotx
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m40_c99_1l_e1
DOI: 10.7483/opendata.delphi.dwrk.5eht
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m115.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.e3j2.dytg
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m45_c99_1l_e1
DOI: 10.7483/opendata.delphi.0n2y.ei81
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m115_r99_1l_e1
DOI: 10.15468/dl.uj2qps
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xiphias gladius Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058719-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7483/opendata.delphi.0yae.4rap
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m4_c99_1l_e1
DOI: 10.7483/opendata.delphi.x8dw.hf63
title: DELPHI simulation data xs_hzha03pyth6156habbtt_e195.5_m50_m50_c99_1l_e1
DOI: 10.6084/m9.figshare.28144115
title: Zooplankton Count Dataset

description: Zooplankton were enumerated under a dissection microscope using a gridded square petri dish. Samples with large numbers of zooplankton were diluted to a known volume (i.e., 300 ml) and at minimum 4 subsamples were taken using a 10 ml Hensen-Stempel sampler following agitation. Subsample counts were adjusted to reflect the full 20 l sample volume, and averaged to obtain 1 value for that date, location, and sampling method combination. During lab work, the Bubbly Creek sample from August 22<sup>nd</sup> was lost after one 10 ml subsample was counted (beaker broke), we maintained this sample in the analysis despite lower confidence in community composition (78 individuals counted compared to mean of 124, median of 54, and standard deviation of 176 across 146 samples). Zooplankton were classified into the following groups: Bosminidae, Calanoida, Chironomid larvae, Cyclopoida, Chydoridae, Daphniidae, Diaphanosoma, Moinidae, Naididae, Ostracoda, <i>Polyphemus pediculus</i>, and the presence of nauplii and rotifers were noted but not counted.
DOI: 10.7483/opendata.delphi.6p1n.7vyo
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m120.0_r99_1l_e1
DOI: 10.7483/opendata.delphi.h95b.lebs
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e195.5_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.wvg9.1i1j
title: DELPHI simulation data xs_hzha03pyth6156ha50bbtt_e199.5_m50_c99_1l_e1
DOI: 10.7483/opendata.delphi.vk9a.yha9
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m40_r99_1l_e1
DOI: 10.7483/opendata.delphi.p6fj.jgh4
title: DELPHI simulation data xs_hzha03pyth6156hzvs_e199.5_m10_c99_1l_e1
DOI: 10.7483/opendata.delphi.p1db.9u1x
title: DELPHI simulation data xs_hzha03pyth6156hinvtt_e195.5_m40.0_r99_1l_e1